APrf Qi Wu

Associate Professor

School of Computer Science and Information Technology

College of Engineering and Information Technology

Eligible to supervise Masters and PhD, but is currently at capacity - email supervisor to discuss availability.


Dr Qi Wu is currently an Associate Professor in the University of Adelaide and he was an ARC Senior Research Associate in the Australian Centre for Robotic Vision (ACRV) in the University of Adelaide, Australia. Before that, he works as a Postdoc Researcher in the Australian Centre for Visual Technologies (ACVT). He received an MSc in Global Computing and Media Technology, a PhD in Computer Science from the University of Bath (United Kingdom), in 2011 and 2015. His research interests include cross-depictive style object modelling, object detection and Vision-to-Language problems. He is especially interested in the problem of Image Captioning and Visual Question Answering. His image captioning model produced the best result in the Microsoft COCO Image Captioning Challenges in the last year and his VQA model is the current state-of-the-art in the area. His work has been published in prestigious journals and conferences such as TPAMI, CVPR, ICCV and ECCV.

My research interests are mainly in computer vision and machine learning. My previous research projects include modeling visual objects regardless of depictive styles and image understanding using contextual cues. I am currently leading a small team at the Adelaide to research on the topic of Vision-and-Language.

I have been in the computer vision filed for nearly 10 years and I have a strong track record in this field. Currently, I am working on the vision to language problem and I am especially an expert in the image captioning and visual question answering (VQA). In 2015, my image captioning model and VQA model achieved the leading performance in the Microsoft COCO Image Captioning Challenges and VQA Challenges. I have published several papers in the top journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Signal Processing Magazine (SPM), Computer Vision and Image Understanding (CVIU). I also have published several papers on the top conference, such as International Joint Conference on Artificial Intelligence (IJCAI), AAAI, The Conference on Computer Vision and Pattern Recognition (CVPR) and the European Conference on Computer Vision (ECCV), and so on.

Date Position Institution name
2023 - ongoing Associate Professor University of Adelaide
2018 - 2022 Senior Lecturer University of Adelaide, Adelaide
2017 - 2018 ARC Senior Research Associate Australia Centre for Robotic Vision, University of Adelaide
2015 - 2017 Senior Research Associate University of Adelaide
2014 - ongoing Research Intern Lenovo
2011 - 2015 PhD University of Bath

Language Competency
Chinese (Mandarin) Can read, write, speak, understand spoken and peer review
English Can read, write, speak, understand spoken and peer review

Date Institution name Country Title
2011 - 2015 University of Bath United Kingdom PhD
2010 - 2011 University of Bath United Kingdom MSc
2006 - 2010 China Jiliang University China BSc

Year Citation
2026 Mohammadi, B., Abbasnejad, E., Qi, Y., Wu, Q., Van Den Hengel, A., & Shi, J. Q. (2026). Parameter-Efficient Action Planning with Large Language Models for Vision-and-Language Navigation. Pattern Recognition, 172(Part B), 112462.
DOI Scopus8 WoS7
2026 Zheng, S., Zhao, P., Huang, Q., Cai, Y., Cheng, H., & Wu, Q. (2026). Implement Referring Expression Comprehension by Extending Auto-focus Lens to Locked Vision Model. ACM Transactions on Multimedia Computing Communications and Applications, 22(2), 24 pages.
DOI Scopus1 WoS1
2026 He, K., Huang, Y., Jing, Y., Wu, Q., & Wang, L. (2026). Fine-Grained Alignment Supervision Matters in Vision-and-Language Navigation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 48(6), 1-16.
DOI Scopus1 WoS1
2026 Suo, W., Ma, J., Sun, M., Zhang, H., Wang, P., Zhang, Y., & Wu, Q. (2026). Semi-Supervised VQA Multi-Modal Explanation via Self-Critical Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 48(7), 1-18.
DOI
2026 Xie, T., Gai, K., Yu, J., Zhu, L., & Wu, Q. (2026). Matrix Commitment-based Ownership Verification for Distributed Machine Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 48(9), 1-18.
DOI
2026 Ye, Q., Guo, L., & Wu, Q. (2026). Uncertainty-guided model learning for trustworthy medical image segmentation. Medical and Biological Engineering and Computing, 64(6), 12 pages.
DOI
2026 Shao, Y., He, S., Zhou, G., Ye, Q., Shi, X., Chen, J., & Wu, Q. (2026). Towards Reasoning-centric Video Object Segmentation via Multi-modal Large Language Models. IEEE Transactions on Image Processing, 35, 1.
DOI
2026 Yu, Y., Li, X., Mahmood, H., Zhou, J., Hong, H., Jiang, L., . . . Chang, X. (2026). User-Feedback-Driven Adaptation for Vision-and-Language Navigation. IEEE Transactions on Multimedia, 1-12.
DOI
2025 Tan, M., Chen, Q., Huang, Z., Wu, Q., Li, Y., & Zhou, J. (2025). Auto-3D-house Design from Structured User Requirements. MACHINE INTELLIGENCE RESEARCH, 22(2), 18 pages.
DOI Scopus1
2025 Zhang, J., Chen, X., Yang, B., Guan, Q., Chen, Q., Chen, J., . . . Xia, Y. (2025). Advances in attention mechanisms for medical image segmentation. Computer Science Review, 56, 18 pages.
DOI Scopus73 WoS47
2025 Tian, X., Yang, Y. L., & Wu, Q. (2025). Script-to-storyboard: A new contextual retrieval dataset and benchmark. Computational Visual Media, 11(1), 103-122.
DOI Scopus4
2025 Wen, Z., Tan, M., Wang, Y., Wu, Q., & Wu, Q. (2025). Enhanced Reasoning via Multimodal LLMs and Collaborative Inference. IEEE Transactions on Multimedia, 27, 1-14.
DOI Scopus1 WoS1
2025 Li, L., Cong, G., Qi, Y., Zha, Z. J., Wu, Q., Sheng, Q. Z., . . . Yang, M. H. (2025). Dubbing Movies via Hierarchical Phoneme Modeling and Acoustic Diffusion Denoising. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(11), 1-17.
DOI Scopus7 WoS6
2025 Wang, C., Xie, Y., Chen, Q., Zhou, Y., & Wu, Q. (2025). A Comprehensive Analysis of Mamba for 3D Volumetric Medical Image Segmentation. Pattern Recognition, 173, 112701.
DOI Scopus10 WoS10
2024 Wen, Z., Niu, S., Li, G., Wu, Q., Tan, M., & Wu, Q. (2024). Test-Time Model Adaptation for Visual Question Answering with Debiased Self-Supervisions. IEEE Transactions on Multimedia, 26, 2137-2147.
DOI Scopus22 WoS22
2024 Gao, C., Liu, S., Chen, J., Wang, L., Wu, Q., Li, B., & Tian, Q. (2024). Room-Object Entity Prompting and Reasoning for Embodied Referring Expression. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(2), 994-1010.
DOI Scopus25 WoS23 Europe PMC3
2024 Ding, N., Deng, C., Tan, M., Du, Q., Ge, Z., & Wu, Q. (2024). Image Captioning With Controllable and Adaptive Length Levels. IEEE Transactions on Pattern Analysis and Machine Intelligence, 764(779), 1-16.
DOI Scopus18 WoS15 Europe PMC3
2024 Sun, M., Suo, W., Wang, P., Niu, K., Liu, L., Lin, G., . . . Wu, Q. (2024). An Adaptive Correlation Filtering Method for Text-Based Person Search. International Journal of Computer Vision, 132(10), 4440-4455.
DOI Scopus15 WoS13
2024 Xie, Y., Zhang, J., Xia, Y., & Wu, Q. (2024). UniMiSS+: Universal Medical Self-Supervised Learning From Cross-Dimensional Unpaired Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(12), 10021-10035.
DOI Scopus14 WoS10 Europe PMC2
2024 Xie, Y., Gu, L., Harada, T., Zhang, J., Xia, Y., & Wu, Q. (2024). Rethinking masked image modeling for medical image representation. Medical Image Analysis, 98, 103304.
DOI Scopus26 WoS20 Europe PMC11
2024 Chen, Q., Zhao, R., Wang, S., Phan, V. M. H., Hengel, A. V. D., Verjans, J., . . . Wu, Q. (2024). A Survey of Medical Vision-and-Language Applications and Their Techniques. International Journal of Computer Vision, 134(8), 381-1-381-43.
DOI
2024 Zhang, Y., Ma, Z., Li, J., Qiao, Y., Wang, Z., Chai, J., . . . Kordjamshidi, P. (2024). Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models. Transactions on Machine Learning Research, 2024.
Scopus10
2023 He, M., Du, W., Wen, Z., Du, Q., Xie, Y., & Wu, Q. (2023). Multi-Granularity Aggregation Transformer for Joint Video-Audio-Text Representation Learning. IEEE Transactions on Circuits and Systems for Video Technology, 33(6), 2990-3002.
DOI Scopus10 WoS11
2023 Qiao, Y., Qi, Y., Hong, Y., Yu, Z., Wang, P., & Wu, Q. (2023). HOP+: History-Enhanced and Order-Aware Pre-Training for Vision-and-Language Navigation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(7), 8524-8537.
DOI Scopus68 WoS36 Europe PMC7
2023 Wang, Z., Byrnes, O., Wang, H., Sun, R., Ma, C., Chen, H., . . . Xue, M. (2023). Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography. IEEE Transactions on Computational Social Systems, 10(6), 1-15.
DOI Scopus107 WoS72
2023 Li, H., Huang, J., Jin, P., Song, G., Wu, Q., & Chen, J. (2023). Weakly-Supervised 3D Spatial Reasoning for Text-based Visual Question Answering. IEEE Transactions on Image Processing, 32, 3367-3382.
DOI Scopus27 WoS20 Europe PMC2
2023 Zhou, G., Hong, Y., & Wu, Q. (2023). NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large
Language Models.
2023 Lin, Z., Zhang, D., Tao, Q., Shi, D., Haffari, G., Wu, Q., . . . Ge, Z. (2023). Medical visual question answering: A survey. Artificial Intelligence in Medicine, 143, 102611.
DOI Scopus187 WoS118 Europe PMC35
2023 Tan, M., Wen, Z., Fang, L., & Wu, Q. (2023). Transformer-Based Relational Inference Network for Complex Visual Relational Reasoning. ACM Transactions on Multimedia Computing, Communications, and Applications, 20(1), 1-23.
DOI Scopus9 WoS7
2023 Shi, X., Qiao, Y., Wu, Q., Liu, L., & Dayoub, F. (2023). Improving Online Source-free Domain Adaptation for Object Detection by
Unsupervised Data Acquisition.
2023 Liu, D., Chen, Z., Huang, Z., Wu, Q., Song, Y., Yao, J., . . . Fang, G. (2023). In Situ Surface Modification Enables High Stability and Optoelectrical Performance for a Self-powered Photodetector. ADVANCED OPTICAL MATERIALS, 11(22), 10 pages.
DOI WoS45
2022 Parvaneh, A., Abbasnejad, E., Wu, Q., Shi, Q., & Van Den Hengel, A. (2022). Show, price and negotiate: a negotiator with online value look-ahead. IEEE Transactions on Multimedia, 24, 1426-1434.
DOI Scopus3 WoS2
2022 Sun, Z., Liu, H., Wang, Q., Zhou, T., Wu, Q., & Tang, Z. (2022). Co-LDL: A Co-training-based Label Distribution Learning Method for Tackling Label Noise. IEEE Transactions on Multimedia, 24, 1093-1104.
DOI Scopus47 WoS43
2022 Sun, M., Suo, W., Wang, P., Zhang, Y., & Wu, Q. (2022). A proposal-free one-stage framework for referring expression comprehension and generation via dense cross-attention. IEEE Transactions on Multimedia, 25, 2446-2458.
DOI Scopus48 WoS48
2022 Deng, C., Wu, Q., Wu, Q., Hu, F., Lyu, F., & Tan, M. (2022). Visual Grounding Via Accumulated Attention. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(3), 1670-1684.
DOI Scopus19 WoS15 Europe PMC2
2022 Suo, W., Sun, M., Wang, P., Zhang, Y., & Wu, Q. (2022). Rethinking and Improving Feature Pyramids for One-stage Referring Expression Comprehension. IEEE Transactions on Image Processing, 32, 854-864.
DOI Scopus20 WoS20 Europe PMC4
2022 Ling, L., Wu, Q., Huang, K., Wang, Y., & Wang, C. (2022). A Lightweight Bearing Fault Diagnosis Method Based on Multi-Channel Depthwise Separable Convolutional Neural Network. Electronics (Switzerland), 11(24), 21 pages.
DOI Scopus21 WoS18
2022 Manchin, A., Sherrah, J., Wu, Q., & van den Hengel, A. (2022). Program Generation from Diverse Video Demonstrations. BMVC 2022 - 33rd British Machine Vision Conference Proceedings.
2022 Xun, L., Zhang, H., Yan, Q., Wu, Q., & Zhang, J. (2022). VISOR-NET: Visibility Estimation Based on Deep Ordinal Relative Learning under Discrete-Level Labels. SENSORS, 22(16), 20 pages.
DOI WoS15
2022 Li, Y., Wu, Q., Lai, M., Zhao, J., Liu, Y., Fan, Y., . . . Liu, B. (2022). Influence of chemical disorder on mechanical and thermal properties of multi-component rare earth zirconate pyrochlores (<i>n</i>RE<sub>1/<i>n</i></sub>)<sub>2</sub>Zr<sub>2</sub>O<sub>7</sub>. JOURNAL OF APPLIED PHYSICS, 132(7), 11 pages.
DOI WoS16
2022 Ji, G., Chen, C., Zhou, M., Wen, W., Wang, C., Tang, J., . . . Feng, Z. (2022). Post-COVID-19 fatigue among COVID-19 in patients discharged from hospital: A meta-analysis. JOURNAL OF INFECTION, 84(5), 731-733.
DOI WoS6
2022 Wu, Y., Feng, T., Shen, Y., Fu, F., Meng, N., Li, X., . . . Wang, M. (2022). Total-body parametric imaging using the Patlak model: Feasibility of reduced scan time. MEDICAL PHYSICS, 49(7), 4529-4539.
DOI WoS26
2021 Zhang, W., Ma, C., Wu, Q., & Yang, X. (2021). Language-guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning. IEEE Transactions on Circuits and Systems for Video Technology, 31(9), 3469-3481.
DOI Scopus61 WoS57
2021 Yu, J., Jiang, X., Qin, Z., Zhang, W., Hu, Y., & Wu, Q. (2021). Learning Dual Encoding Model for Adaptive Visual Understanding in Visual Dialogue. IEEE TRANSACTIONS ON IMAGE PROCESSING, 30, 220-233.
DOI Scopus34 WoS30 Europe PMC6
2021 Wang, Y., Qi, Y., Yao, H., Gong, D., & Wu, Q. (2021). Image editing with varying intensities of processing. Computer Vision and Image Understanding, 211, 1-13.
DOI Scopus4 WoS4
2021 Zhang, C., Wang, Q., Xie, G., Wu, Q., Shen, F., & Tang, Z. (2021). Robust Learning from Noisy Web Images via Data Purification for Fine-Grained Recognition. IEEE Transactions on Multimedia, 24, 1.
DOI Scopus13 WoS13
2021 Wang, H., Chen, H., Wu, Q., Ma, C., & Li, Y. (2021). Multi-Intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline. IEEE Open Journal of Intelligent Transportation Systems, 3, 126-136.
DOI Scopus21 WoS18
2020 Huang, Y., Wu, Q., Wang, W., & Wang, L. (2020). Image and Sentence Matching via Semantic Concepts and Order Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(3), 636-650.
DOI Scopus44 WoS35 Europe PMC8
2020 Chen, Q., Wu, Q., Chen, J., Wu, Q., Van Den Hengel, A., & Tan, M. (2020). Scripted Video Generation with a Bottom-Up Generative Adversarial Network. IEEE Transactions on Image Processing, 29, 7454-7467.
DOI Scopus39 WoS20
2020 Yu, J., Zhang, W., Lu, Y., Qin, Z., Hu, Y., Tan, J., & Wu, Q. (2020). Reasoning on the Relation: Enhancing Visual Representation for Visual Question Answering and Cross-Modal Retrieval. IEEE Transactions on Multimedia, 22(12), 3196-3209.
DOI Scopus96 WoS89
2020 Qiao, Y., Deng, C., & Wu, Q. (2020). Referring expression comprehension: a survey of methods and datasets. IEEE Transactions on Multimedia, 23, 4426-4440.
DOI Scopus95 WoS79
2020 Gao, C., Zhu, Q., Wang, P., Li, H., Liu, Y., Van den Hengel, A., & Wu, Q. (2020). Structured Multimodal Attentions for TextVQA. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(8), 1.
DOI Scopus42 WoS48 Europe PMC5
2020 Liu, X., Dai, P., Gu, T., Wu, Q., Wei, H., Liu, S., . . . Zhao, Q. (2020). Cyclometalated iridium(III) complexes containing an anthracene unit for sensing and imaging singlet oxygen in cellular mitochondria. JOURNAL OF INORGANIC BIOCHEMISTRY, 209, 10 pages.
DOI WoS18
2020 Zhou, S., Wang, S., Wu, Q., Azim, R., & Li, W. (2020). Predicting potential miRNA-disease associations by combining gradient boosting decision tree with logistic regression. COMPUTATIONAL BIOLOGY AND CHEMISTRY, 85, 8 pages.
DOI WoS100
2020 Miao, R., Xiang, X., Wu, Q., & Jiang, Z. (2020). Evaluation method of medical service system based on DEMATEL and the information entropy: A case study of hypertension diagnosis and treatment in China. PLOS ONE, 15(12), 15 pages.
DOI WoS7
2020 Pei, L., Liu, K., Zou, D., Tao, L., Wu, Q., Zhu, Y., . . . Sartori, D. (2020). IVPR: An Instant Visual Place Recognition Approach Based on Structural Lines in Manhattan World. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 69(7), 4173-4187.
DOI WoS18
2020 Li, Q., Li, X., & Wu, Q. (2020). Resonance Analysis of Cantilever Plates Subjected to Moving Forces by a Semi-Analytical Method. INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS, 20(4), 24 pages.
DOI WoS12
2019 Liu, W., Li, Y., & Wu, Q. (2019). An Attribute-Based High-Level Image Representation for Scene Classification. IEEE Access, 7, 4629-4640.
DOI Scopus5 WoS2
2019 Zhang, J., Xie, Y., Wu, Q., & Xia, Y. (2019). Medical image classification using synergic deep learning. Medical Image Analysis, 54, 10-19.
DOI Scopus393 WoS289 Europe PMC119
2019 Zhang, J., Wu, Q., Zhang, J., Shen, C., Lu, J., & Wu, Q. (2019). Heritage image annotation via collective knowledge. Pattern Recognition, 93, 204-214.
DOI Scopus9 WoS8
2019 Lyu, F., Wu, Q., Hu, F., Wu, Q., & Tan, M. (2019). Attend and Imagine: Multi-Label Image Classification with Visual Attention and Recurrent Neural Networks. IEEE Transactions on Multimedia, 21(8), 1971-1981.
DOI Scopus68 WoS57
2019 Xu, J. -L., Stutzki, J., Wu, Y., Guan, X., Wang, J. -J., Miller, M., . . . Wu, Q. (2019). Probing star formation and feedback using CCOSMA and archival data in the CFG028.68-0.28 quasi-sinusoidal filament. RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 19(12), 13 pages.
DOI WoS2
2019 Xiao, J., Ding, W., Peng, Y., Wu, Q., Chen, Z., Wang, Z., . . . Peng, T. (2019). UPGRADING IRON AND REMOVING PHOSPHORUS OF HIGH PHOSPHORUS OOLITIC IRON ORE BY SEGREGATION ROASTING WITH CALCIUM CHLORIDE AND CALCIUM HYPOCHLORITE. JOURNAL OF MINING AND METALLURGY SECTION B-METALLURGY, 55(3), 305-314.
DOI WoS16
2019 Li, K. -P., Yuan, M., He, Z. -R., Wu, Q., Zhang, C. -M., Lei, Z. -L., . . . Guo, J. (2019). Omics Insights into Metabolic Stress and Resilience of Rats in Response to Short-term Fructose Overfeeding. MOLECULAR NUTRITION & FOOD RESEARCH, 63(23), 14 pages.
DOI WoS13
2019 Tang, T., Duan, X., Zhou, Z., & Wu, Q. (2019). Scatter Correction Based on Beam Stop Array for Cone-Beam Micro-Computed Tomography. ACTA OPTICA SINICA, 39(8), 11 pages.
DOI WoS1
2019 Yang, J., Wang, M., Zhang, Y., Jia, X., Chen, Y., Liu, T., . . . Xiao, H. (2019). Rapid Preparation of Oxidized Starch with High Carbonyl Contents Using NaBrO as Oxidizer. STARCH-STARKE, 71(9-10), 9 pages.
DOI WoS10
2019 Zhu, G., Qian, M., Lu, L., Chen, Y., Zhang, X., Wu, Q., . . . Suni, F. (2019). <i>O</i>-GlcNAcylation of YY1 stimulates tumorigenesis in colorectal cancer cells by targeting SLC22A15 and AANAT. CARCINOGENESIS, 40(9), 1121-1131.
DOI WoS38
2019 Chen, Y., Zhu, G., Liu, Y., Wu, Q., Zhang, X., Bian, Z., . . . Sun, F. (2019). O-GlcNAcylated c-Jun antagonizes ferroptosis via inhibiting GSH synthesis in liver cancer. CELLULAR SIGNALLING, 63, 11 pages.
DOI WoS88
2019 Zhang, X., Du, L., Qiao, Y., Zhang, X., Zheng, W., Wu, Q., . . . Wang, J. (2019). Ferroptosis is governed by differential regulation of transcription in liver cancer. REDOX BIOLOGY, 24, 14 pages.
DOI WoS164
2019 Wu, Q., Li, J., Song, P., Chen, J., Xu, Y., Qi, S., . . . Pan, Q. (2019). Knockdown of NRAGE induces odontogenic differentiation by activating NF-κB signaling in mouse odontoblast-like cells. CONNECTIVE TISSUE RESEARCH, 60(2), 71-84.
DOI WoS6
2019 Chen, Y., Liu, R., Chu, Z., Le, B., Zeng, H., Zhang, X., . . . Wang, J. (2019). High glucose stimulates proliferative capacity of liver cancer cells possibly via <i>O</i>-GlcNAcylation-dependent transcriptional regulation of GJC1. JOURNAL OF CELLULAR PHYSIOLOGY, 234(1), 606-618.
DOI WoS22
2018 Wu, Q., Shen, C., Wang, P., Dick, A., & van den Hengel, A. (2018). Image captioning and visual question answering based on attributes and external knowledge. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(6), 1367-1381.
DOI Scopus365 WoS281 Europe PMC37
2018 Zhang, J., Wu, Q., Shen, C., Zhang, J., & Lu, J. (2018). Multilabel image classification with regional latent semantic dependencies. IEEE Transactions on Multimedia, 20(10), 2801-2813.
DOI Scopus186 WoS96
2018 Hu, L., Zhu, Q., Wu, Q., Li, D., An, Z., & Xu, B. (2018). Natural Biomass-Derived Hierarchical Porous Carbon Synthesized by an <i>in Situ</i> Hard Template Coupled with NaOH Activation for Ultrahigh Rate Supercapacitors. ACS SUSTAINABLE CHEMISTRY & ENGINEERING, 6(11), 13949-13959.
DOI WoS155
2018 Sun, P., Wu, Q., Sun, X., Miao, H., Deng, W., Zhang, W., . . . Huang, W. (2018). J-Aggregate squaraine nanoparticles with bright NIR-II fluorescence for imaging guided photothermal therapy. CHEMICAL COMMUNICATIONS, 54(95), 13395-13398.
DOI WoS162
2018 Zhang, K. Y., Zhang, T., Wei, H., Wu, Q., Liu, S., Zhao, Q., & Huang, W. (2018). Phosphorescent iridium(III) complexes capable of imaging and distinguishing between exogenous and endogenous analytes in living cells. CHEMICAL SCIENCE, 9(36), 7236-7240.
DOI WoS52
2018 Wu, Q., Ma, H., Ling, K., Gan, N., Cheng, Z., Gu, L., . . . Huang, W. (2018). Reversible Ultralong Organic Phosphorescence for Visual and Selective Chloroform Detection. ACS APPLIED MATERIALS & INTERFACES, 10(39), 33730-33736.
DOI WoS88
2018 Lu, X., Yuan, P., Zhang, W., Wu, Q., Wang, X., Zhao, M., . . . Fan, Q. (2018). A highly water-soluble triblock conjugated polymer for <i>in vivo</i> NIR-II imaging and photothermal therapy of cancer. POLYMER CHEMISTRY, 9(22), 3118-3126.
DOI WoS68
2018 Cai, S., Shi, H., Zhang, Z., Wang, X., Ma, H., Gan, N., . . . Huang, W. (2018). Hydrogen-Bonded Organic Aromatic Frameworks for Ultralong Phosphorescence by Intralayer π-π Interactions. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 57(15), 4005-4009.
DOI WoS255
2018 Li, S., Cheng, L., Wu, Q., Zhang, Q., Yang, J., & Liu, J. (2018). Mechanism of Aerobic Alcohol Oxidation Mediated by Water-Soluble Cu<SUP>II</SUP>-TEMPO Catalyst in Water: A Density Functional Theory Study. CHEMISTRYSELECT, 3(4), 1268-1274.
DOI WoS2
2018 Sun, C., Ran, X., Wang, X., Cheng, Z., Wu, Q., Cai, S., . . . Huang, W. (2018). Twisted Molecular Structure on Tuning Ultralong Organic Phosphorescence. JOURNAL OF PHYSICAL CHEMISTRY LETTERS, 9(2), 335-339.
DOI WoS85
2018 Cui, S., Wang, X., Zhang, X., Xia, W., Tang, X., Lin, B., . . . Shen, X. (2018). Preparation of magnetic MnFe<sub>2</sub>O<sub>4</sub>-Cellulose aerogel composite and its kinetics and thermodynamics of Cu(II) adsorption. CELLULOSE, 25(1), 735-751.
DOI WoS64
2018 Gu, L., Shi, H., Miao, C., Wu, Q., Cheng, Z., Cai, S., . . . Huang, W. (2018). Prolonging the lifetime of ultralong organic phosphorescence through dihydrogen bonding. JOURNAL OF MATERIALS CHEMISTRY C, 6(2), 226-233.
DOI WoS102
2018 Wu, Q., Li, Y., Wang, C., Zhang, J., Huang, M., Kim, J. K., & Wu, Y. (2018). 1,4-Refunctionalization of β-diketones to γ-keto nitriles <i>via</i> C-C single bond cleavage. ORGANIC CHEMISTRY FRONTIERS, 5(16), 2496-2500.
DOI WoS18
2018 Bian, L., Shi, H., Wang, X., Ling, K., Ma, H., Li, M., . . . Huang, W. (2018). Simultaneously Enhancing Efficiency and Lifetime of Ultralong Organic Phosphorescence Materials by Molecular Self-Assembly. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 140(34), 10734-10739.
DOI WoS510
2018 Chen, H., Xu, J., Xiao, G., Wu, Q., & Zhang, S. (2018). Fast auto-clean CNN model for online prediction of food materials. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 117, 218-227.
DOI WoS23
2018 Deng, W., Wu, Q., Sun, P., Yuan, P., Lu, X., Fan, Q., & Huang, W. (2018). Zwitterionic diketopyrrolopyrrole for fluorescence/photoacoustic imaging guided photodynamic/photothermal therapy. POLYMER CHEMISTRY, 9(20), 2805-2812.
DOI WoS31
2018 Cai, S., Shi, H., Tian, D., Ma, H., Cheng, Z., Wu, Q., . . . Huang, W. (2018). Enhancing Ultralong Organic Phosphorescence by Effective π-Type Halogen Bonding. ADVANCED FUNCTIONAL MATERIALS, 28(9), 7 pages.
DOI WoS319
2018 Cheng, Z., Shi, H., Ma, H., Bian, L., Wu, Q., Gu, L., . . . Huang, W. (2018). Ultralong Phosphorescence from Organic Ionic Crystals under Ambient Conditions. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 57(3), 678-682.
DOI WoS218
2018 Zhang, X., Xu, Y., Qian, Z., Zheng, W., Wu, Q., Chen, Y., . . . Yu, Y. (2018). circRNA_104075 stimulates YAP-dependent tumorigenesis through the regulation of HNF4a and may serve as a diagnostic marker in hepatocellular carcinoma. CELL DEATH & DISEASE, 9(11), 14 pages.
DOI WoS186
2018 Li, Q., & Wu, Q. (2018). Vertical Dynamic Responses of the Cantilever Deck of a Long-Span Continuous Bridge and the Coupled Moving Trains. URBAN RAIL TRANSIT, 4(2), 86-97.
DOI WoS1
2018 Chen, Y., Wu, Y., Zhang, X., Zeng, H., Liu, Y., Wu, Q., . . . Sun, F. (2018). Angiopoietin-2 (Ang-2) is a useful serum tumor marker for liver cancer in the Chinese population. CLINICA CHIMICA ACTA, 478, 18-27.
DOI WoS17
2017 Wu, Q., Teney, D., Wang, P., Shen, C., Dick, A., & van den Hengel, A. (2017). Visual question answering: a survey of methods and datasets. Computer Vision and Image Understanding, 163, 21-40.
DOI Scopus355 WoS270
2017 Wang, P., Wu, Q., Shen, C., Dick, A., & Van Den Hengel, A. (2017). FVQA: fact-based Visual Question Answering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(10), 2413-2427.
DOI Scopus445 WoS362 Europe PMC49
2017 Teney, D., Wu, Q., & Van Den Hengel, A. (2017). Visual Question Answering: a tutorial. IEEE Signal Processing Magazine, 34(6), 63-75.
DOI Scopus36 WoS23
2017 Zhuang, B., Wu, Q., Shen, C., Reid, I., & Hengel, A. V. D. (2017). Care about you: towards large-scale human-centric visual relationship
detection.
2017 Hu, L., Ma, L., Zhu, Q., Yu, L., Wu, Q., Hu, C., . . . Xu, B. (2017). Organic salt-derived nitrogen-rich, hierarchical porous carbon for ultrafast supercapacitors. NEW JOURNAL OF CHEMISTRY, 41(22), 13611-13618.
DOI WoS14
2017 Li, S., Cheng, L., Wu, Q., Zhang, Q., Yang, J., & Liu, J. (2017). Mechanistic Insight into the 2° Alcohol Oxidation Mediated by an Efficient Cu<SUP>I</SUP>/L-Proline-TEMPO Catalyst-A Density Functional Theory Study. CATALYSTS, 7(9), 15 pages.
DOI WoS4
2017 Zhang, X., Sun, F., Qiao, Y., Zheng, W., Liu, Y., Chen, Y., . . . Wang, J. (2017). TFCP2 Is Required for YAP-Dependent Transcription to Stimulate Liver Malignancy. CELL REPORTS, 21(5), 1227-1239.
DOI WoS46
2017 Wu, Q., Wang, Y., Qian, M., Qiao, Y., Zou, S., Chen, C., . . . Pan, Q. (2017). Sirt1 suppresses Wnt/βCatenin signaling in liver cancer cells by targeting βCatenin in a PKAα-dependent manner. CELLULAR SIGNALLING, 37, 62-73.
DOI WoS22
2017 Liu, L. -S., Bai, X. -Q., Gao, Y., Wu, Q., Ren, Z., Li, Q., . . . Tang, Z. -H. (2017). PCSK9 Promotes oxLDL-Induced PC12 Cell Apoptosis Through the Bcl-2/Bax-Caspase 9/3 Signaling Pathway. JOURNAL OF ALZHEIMERS DISEASE, 57(3), 723-734.
DOI WoS39
2017 Zhang, X., Qiao, Y., Wu, Q., Chen, Y., Zou, S., Liu, X., . . . Sun, F. (2017). The essential role of YAP O-GlcNAcylation in high-glucose-stimulated liver tumorigenesis. NATURE COMMUNICATIONS, 8(1), 15 pages.
DOI WoS1459
2017 Zhao, X. -S., Wu, Q., Peng, J., Pan, L. -H., Ren, Z., Liu, H. -T., . . . Liu, L. -S. (2017). Hyperlipidemia-induced apoptosis of hippocampal neurons in apoE(-/-) mice may be associated with increased PCSK9 expression. MOLECULAR MEDICINE REPORTS, 15(2), 712-718.
DOI WoS48
2017 Zhu, G., Chen, Y., Zhang, X., Wu, Q., Zhao, Y., Chen, Y., . . . Wang, J. (2017). 12-O-Tetradecanoylphorbol-13-acetate (TPA) is anti-tumorigenic in liver cancer cells via inhibiting YAP through AMOT. SCIENTIFIC REPORTS, 7(1), 11 pages.
DOI WoS18
2017 Xu, Y., Zhao, Y., Xu, Y., Guan, Y., Zhang, X., Chen, Y., . . . Yu, Y. (2017). Blocking inhibition to YAP by ActinomycinD enhances anti-tumor efficacy of Corosolic acid in treating liver cancer. CELLULAR SIGNALLING, 29, 209-217.
DOI WoS24
2017 Zhou, J., Liao, Y., Xie, H., Liao, Y., Zeng, Y., Li, N., . . . Zhou, G. (2017). Effects of combined treatment with ibandronate and pulsed electromagnetic field on ovariectomy-induced osteoporosis in rats. BIOELECTROMAGNETICS, 38(1), 31-40.
DOI WoS36
2016 Shen, L., Min, Y. -T., Bai, X., Wang, J., Wu, Q., Yang, J., . . . Li, Q. -Y. (2016). Four Gadolinium Coordination Compounds Derived from Various Tetrazole-Containing Carboxylic Acids. ZEITSCHRIFT FUR ANORGANISCHE UND ALLGEMEINE CHEMIE, 642(19), 1112-1119.
DOI WoS3
2016 Wu, J., Bai, Y., Lu, Y. M., Wang, J., Wu, Q., Yang, G. W., & Li, Q. Y. (2016). Substituted group-directed magnesium(II) coordination compounds based on the derivatives of tetrazole-2-acetic acid. JOURNAL OF THE IRANIAN CHEMICAL SOCIETY, 13(12), 2155-2162.
DOI WoS4
2016 Shen, L., Bai, Y., Min, Y. -T., Jia, T. -T., Wu, Q., Wang, J., . . . Yang, G. -W. (2016). Coordination Architectures of energetic Cd (II) coordination polymers constructed by the bifunctional substituted-tetrazole-carboxylate ligands. JOURNAL OF SOLID STATE CHEMISTRY, 244, 129-139.
DOI WoS17
2016 Zhang, J., Tang, Z., Giddings, R., Wu, Q., Wang, W., Cao, B., . . . Tang, J. M. (2016). Stage-Dependent DSP Operation Range Clipping-Induced Bit Resolution Reductions of Full Parallel 64-Point FFTs Incorporated in FPGA-Based Optical OFDM Receivers. JOURNAL OF LIGHTWAVE TECHNOLOGY, 34(16), 3752-3760.
DOI WoS13
2016 Miao, L. -L., Guo, M. -Y., Wu, J., Lu, Y. -M., Wu, Q., Bai, Y., . . . Yang, G. -W. (2016). Counter anion and pH directed assembly of europium(III) compounds based on tetrazole containing carboxylic acids. INORGANICA CHIMICA ACTA, 450, 176-181.
DOI WoS12
2016 Yang, G. W., Zhang, Y. T., Wu, Q., Cao, M. J., Wu, J., Yue, Q. Y., & Li, Q. Y. (2016). Nitrogen-rich 5-(4-pyridyl)tetrazole-2-acetic acid and its alkaline earth metal coordination polymers for potential energetic materials. INORGANICA CHIMICA ACTA, 450, 364-371.
DOI WoS17
2016 Wang, C., Li, Y., Gong, M., Wu, Q., Zhang, J., Kim, J. K., . . . Wu, Y. (2016). Method for Direct Synthesis of α-Cyanomethyl-β-dicarbonyl Compounds with Acetonitrile and 1,3-Dicarbonyls. ORGANIC LETTERS, 18(17), 4151-4153.
DOI WoS51
2016 Du, J., Wang, M., Chen, N., Xie, S., Yu, H., & Wu, Q. (2016). Instability Origin and Improvement Scheme of Facial Alq<sub>3</sub> for Blue OLED Application. CHEMICAL RESEARCH IN CHINESE UNIVERSITIES, 32(3), 423-427.
DOI WoS3
2016 Tang, X. -L., Lin, B. -L., Cui, S., Zhang, X., Zhong, Y., Wu, Q., . . . Wang, T. -W. (2016). Paclitaxel modified Fe<sub>3</sub>O<sub>4</sub> loaded albumin nanoparticles as drug delivery vehicles by self-assembly. RSC ADVANCES, 6(49), 43284-43292.
DOI WoS13
2016 Wang, J., Zhang, F. F., Wei, B., Wu, Q., Cao, M. J., Bai, Y., & Yang, G. W. (2016). Counterion-Directed Assembly of Praseodymium(III) Compounds based on the Flexible Ligand 5-Aminotetrazole-1-propionic Acid (Hatzp). ZEITSCHRIFT FUR ANORGANISCHE UND ALLGEMEINE CHEMIE, 642(2), 169-173.
DOI WoS7
2016 Shen, L., Cao, M. J., Zhang, F. F., Wu, Q., Zhao, L. Y., Lu, Y. M., . . . Zou, J. H. (2016). Three new manganese(II) coordination complexes based on tetrazole carboxylate ligands. TRANSITION METAL CHEMISTRY, 41(2), 125-131.
DOI WoS28
2016 Sun, Y., Wang, X., Du, J., Chen, N., Yu, H., Wu, Q., & Meng, X. (2016). Amorphous Structure and Bonding Chemistry of Aluminium Antimonide(AlSb) Alloy for Phase-change Memory Device. CHEMICAL RESEARCH IN CHINESE UNIVERSITIES, 32(1), 76-81.
DOI WoS5
2016 Yao, B., Xu, Y., Wang, J., Qiao, Y., Zhang, Y., Zhang, X., . . . Yuan, H. (2016). Reciprocal regulation between O-GlcNAcylation and tribbles pseudokinase 2 (TRIB2) maintains transformative phenotypes in liver cancer cells. CELLULAR SIGNALLING, 28(11), 1703-1712.
DOI WoS23
2016 Wu, Q., Zou, C., Wu, C., Zhang, S., & Huang, Z. (2016). Risk factors of outcomes in elderly patients with acute ischemic stroke in China. AGING CLINICAL AND EXPERIMENTAL RESEARCH, 28(4), 705-711.
DOI WoS9
2016 Zhao, X. -S., Peng, J., Wu, Q., Ren, Z., Pan, L. -H., Tang, Z. -H., . . . Liu, L. -S. (2016). Imbalanced cholesterol metabolism in Alzheimer's disease. CLINICA CHIMICA ACTA, 456, 107-114.
DOI WoS120
2015 Hall, P., Cai, H., Wu, Q., & Corradi, T. (2015). Cross-depiction problem: recognition and synthesis of photographs and artwork. Computational Visual Media, 1(2), 91-103.
DOI Scopus37
2015 Wu, Q., Cao, M. J., Wei, B., Bai, Y., Tian, H., Wang, J., . . . Yang, G. W. (2015). pH dependent synthesis of structurally diverse praseodymium(III) coordination polymers based on isomeric ligands. INORGANIC CHEMISTRY COMMUNICATIONS, 62, 111-114.
DOI WoS26
2015 Yang, G. W., Zhang, F. F., Wu, Q., Cao, M. J., Bai, Y., Li, Q. Y., . . . Zou, J. H. (2015). Substituted group directed assembly of energetic lead(II) compounds based on structure-relevant ligands. RSC ADVANCES, 5(103), 84439-84445.
DOI WoS33
2015 Nie, Y., Speakman, J. R., Wu, Q., Zhang, C., Hu, Y., Xia, M., . . . Wei, F. (2015). Exceptionally low daily energy expenditure in the bamboo-eating giant panda. SCIENCE, 349(6244), 171-174.
DOI WoS141
2015 Wu, Q., Qi, S., Ma, J., Chen, F., Chen, J., Li, J., . . . Wang, R. (2015). The Effect of NRAGE on cell cycle and apoptosis of human dental pulp cells and MDPC-23. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 8(7), 10657-10667.
WoS8
2014 Wu, Q., & Xiao, H. (2014). Dynamic CGE Model and Simulation Analysis on the Impact of Citizenization of Rural Migrant Workers on the Labor and Capital Markets in China. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2014, 8 pages.
DOI WoS3
2014 Wu, Q., Tang, Z. -H., Peng, J., Liao, L., Pan, L. -H., Wu, C. -Y., . . . Liu, L. -S. (2014). The dual behavior of PCSK9 in the regulation of apoptosis is crucial in Alzheimer's disease progression (Review). BIOMEDICAL REPORTS, 2(2), 167-171.
DOI WoS50
2011 Fu, Z., Wu, Q., Gong, W., Shi, L., Li, W., & Dai, Z. (2011). Photoluminescence properties and analysis of spectral structure of R<sub>2</sub>(MoO<sub>4</sub>)<sub>3</sub>: Eu<SUP>3+</SUP> (R = La, Gd) phosphors. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA B-OPTICAL PHYSICS, 28(4), 709-713.
DOI WoS8
2011 Fu, Z., Gong, W., Li, H., Wu, Q., Li, W., Yang, H. K., & Jeong, J. H. (2011). Synthesis and spectral properties of nanocrystalline Eu<SUP>3+</SUP>-doped pyrochlore oxide M<sub>2</sub>Sn<sub>2</sub>O<sub>7</sub> (M = Gd and Y). CURRENT APPLIED PHYSICS, 11(3), 933-938.
DOI WoS14
2011 Wu, Q., Li, H., Xia, W., Fu, X., Fu, Z., Zhou, S., . . . Jeong, J. H. (2011). Investigation of the Structure and Photoluminescence Properties of Ln<SUP>3+</SUP>(Eu<SUP>3+</SUP>, Dy<SUP>3+</SUP>, Sm<SUP>3+</SUP>) Ion-Doped NaY(MoO<sub>4</sub>)<sub>2</sub>. JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 158(12), J387-J393.
DOI WoS17
2006 Zhang, F., Wu, Q., Chen, Z. -C., Li, X., Jiang, X. -M., & Lin, X. -F. (2006). Bioactive galactose-branched polyelectrolyte multilayers and microcapsules: Self-assembly, characterization, and biospecific lectin adsorption. LANGMUIR, 22(20), 8458-8464.
DOI WoS33
2006 Bi, J., Wu, Q., & Li, Z. (2006). On estimating clock skew for one-way measurements. COMPUTER COMMUNICATIONS, 29(8), 1213-1225.
DOI WoS10

Year Citation
2022 Wu, Q., Wang, P., Wang, X., He, X., & Zhu, W. (2022). Visual Question Answering. Springer Nature Singapore.
DOI
2020 Garg, S., Sünderhauf, N., Dayoub, F., Morrison, D., Cosgun, A., Carneiro, G., . . . Milford, M. (2020). Semantics for Robotic Mapping, Perception and Interaction: A Survey (Vol. 8). United States: Now Publishers.
DOI

Year Citation
2025 Shi, X., Qiao, Y., Wu, Q., Liu, L., & Dayoub, F. (2025). Improving Online Source-Free Domain Adaptation for Object Detection by Unsupervised Data Acquisition. In A. DelBue, C. Canton, J. Pont-Tuset, & T. Tommasi (Eds.), Lecture Notes in Computer Science (Vol. 15629 LNCS, pp. 195-205). SPRINGER INTERNATIONAL PUBLISHING AG.
DOI Scopus2 WoS1
2022 Wu, Q., Wang, P., Wang, X., He, X., & Zhu, W. (2022). Video Representation Learning. In Advances in Computer Vision and Pattern Recognition (pp. 111-117). Springer Nature Singapore.
DOI
2022 Wu, Q., Wang, P., Wang, X., He, X., & Zhu, W. (2022). Vision-and-Language Pretraining for VQA. In Advances in Computer Vision and Pattern Recognition (pp. 91-107). Springer Nature Singapore.
DOI
2022 Wu, Q., Wang, P., Wang, X., He, X., & Zhu, W. (2022). Text-Based VQA. In Advances in Computer Vision and Pattern Recognition (pp. 177-187). Springer Nature Singapore.
DOI Scopus1
2022 Wu, Q., Wang, P., Wang, X., He, X., & Zhu, W. (2022). Deep Learning Basics. In Advances in Computer Vision and Pattern Recognition (pp. 15-26). Springer Nature Singapore.
DOI Scopus1
2022 Wu, Q., Wang, P., Wang, X., He, X., & Zhu, W. (2022). Summary and Outlook. In Advances in Computer Vision and Pattern Recognition (pp. 233-236). Springer Nature Singapore.
DOI
2022 Wu, Q., Wang, P., Wang, X., He, X., & Zhu, W. (2022). Knowledge-Based VQA. In Advances in Computer Vision and Pattern Recognition (pp. 73-90). Springer Nature Singapore.
DOI Scopus2
2022 Wu, Q., Wang, P., Wang, X., He, X., & Zhu, W. (2022). Medical VQA. In Advances in Computer Vision and Pattern Recognition (pp. 165-176). Springer Nature Singapore.
DOI Scopus10
2022 Wu, Q., Wang, P., Wang, X., He, X., & Zhu, W. (2022). Question Answering (QA) Basics. In Advances in Computer Vision and Pattern Recognition (pp. 27-31). Springer Nature Singapore.
DOI Scopus2
2022 Wu, Q., Wang, P., Wang, X., He, X., & Zhu, W. (2022). Visual Dialogue. In Advances in Computer Vision and Pattern Recognition (pp. 199-218). Springer Nature Singapore.
DOI
2022 Wu, Q., Wang, P., Wang, X., He, X., & Zhu, W. (2022). Referring Expression Comprehension. In Advances in Computer Vision and Pattern Recognition (pp. 219-230). Springer Nature Singapore.
DOI
2022 Wu, Q., Wang, P., Wang, X., He, X., & Zhu, W. (2022). Classical Visual Question Answering. In Advances in Computer Vision and Pattern Recognition (pp. 35-72). Springer Nature Singapore.
DOI
2022 Wu, Q., Wang, P., Wang, X., He, X., & Zhu, W. (2022). Advanced Models for Video Question Answering. In Advances in Computer Vision and Pattern Recognition (pp. 135-143). Springer Nature Singapore.
DOI
2022 Wu, Q., Wang, P., Wang, X., He, X., & Zhu, W. (2022). Video Question Answering. In Advances in Computer Vision and Pattern Recognition (pp. 119-133). Springer Nature Singapore.
DOI Scopus1
2022 Wu, Q., Wang, P., Wang, X., He, X., & Zhu, W. (2022). Visual Question Generation. In Advances in Computer Vision and Pattern Recognition (pp. 189-197). Springer Nature Singapore.
DOI
2022 Wu, Q., Wang, P., Wang, X., He, X., & Zhu, W. (2022). Embodied VQA. In Advances in Computer Vision and Pattern Recognition (pp. 147-164). Springer Nature Singapore.
DOI Scopus1
2015 Brown-Grant, R. (2015). Introduction. In R. BrownGrant, A. D. Hedeman, & B. Ribemont (Eds.), Advances in Computer Vision and Pattern Recognition (pp. 1-13). ROUTLEDGE.
DOI Scopus1

Year Citation
2026 Chen, X., Chen, Q., Phan, M. H., Wu, Q., Chen, J., & Xie, Y. (2026). Towards Generalizable Clinical Knowledge Discovery for Radiology Report Generation. In Lecture Notes in Computer Science Vol. 16241 LNCS (pp. 379-389). Springer Nature Switzerland.
DOI Scopus1
2026 Tang, Y., Yu, J., Gai, K., Xiong, G., Gou, G., Qiu, M., & Wu, Q. (2026). Manipulation Intention Understanding for Zero-Shot Composed Image Retrieval. In S. Koenig, C. Jenkins, & M. E. Taylor (Eds.), Proceedings of the Aaai Conference on Artificial Intelligence Vol. 40 (pp. 9466-9474). SINGAPORE: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE.
DOI Scopus1
2026 Chen, F., He, Y., He, S., He, Y., Liu, J., Lin, L., . . . Wu, Q. (2026). OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs. In S. Koenig, C. Jenkins, & M. E. Taylor (Eds.), Proceedings of the Aaai Conference on Artificial Intelligence Vol. 40 (pp. 20023-20031). SINGAPORE: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE.
DOI
2025 Zhou, G., Hong, Y., Wang, Z., Wang, X. E., & Wu, Q. (2025). NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models. In Lecture Notes in Computer Science Vol. 15065 LNCS (pp. 260-278). Milan, Italy: Springer Nature Switzerland.
DOI Scopus68 WoS43
2025 Qiao, Y., Liu, Q., Liu, J., Liu, J., & Wu, Q. (2025). LLM as Copilot for Coarse-Grained Vision-and-Language Navigation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15063 LNCS (pp. 459-476). Milan, Italy: Springer Science and Business Media Deutschland GmbH.
DOI Scopus12 WoS5
2025 Chen, Q., Xie, Y., Wu, B., Chen, X., Ang, J., To, M. -S., . . . Wu, Q. (2025). Act Like a Radiologist: Radiology Report Generation Across Anatomical Regions. In Lecture Notes in Computer Science Vol. 15477 LNCS (pp. 36-52). Hanoi, Vietnam: Springer Nature Singapore.
DOI
2025 Liu, Q., Zhang, S., Qiao, Y., Zhu, J., Li, X., Guo, L., . . . Liu, J. (2025). GroundingMate: Aiding Object Grounding for Goal-Oriented Vision-and-Language Navigation. In Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025 (pp. 1775-1784). Tucson, AZ, USA: IEEE.
DOI Scopus2 WoS1
2025 Gai, K., Wang, D., Yu, J., Wang, M., Zhu, L., & Wu, Q. (2025). MFL-Owner: Ownership Protection for Multi-modal Federated Learning via Orthogonal Transform Watermark. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 39 (pp. 3049-3058). Philadelphia, USA: Association for the Advancement of Artificial Intelligence (AAAI).
DOI Scopus12 WoS6
2025 Zhuang, J., Yu, J., Qu, X., Tang, Y., Gou, G., Xiong, G., & Wu, Q. (2025). Soft Multi-view Representation Learning for Disambiguating Text-Based Person Retrieval. In Lecture Notes in Computer Science Vol. 15686 LNCS (pp. 143-156). Springer Nature Singapore.
DOI
2025 Wang, X., Zhuang, B., & Wu, Q. (2025). ARE LARGE VISION LANGUAGE MODELS GOOD GAME PLAYERS?. In 13th International Conference on Learning Representations Iclr 2025 (pp. 24502-24539).
Scopus5
2025 Hong, H., Qiao, Y., Wang, S., Liu, J., & Wu, Q. (2025). General Scene Adaptation for Vision-and-Language Navigation. In Proceedings of the 13th International Conference on Learning Representations (ICLR 2025) (pp. 4389-4416). Singapore: International Conference on Learning Representations (ICLR).
Scopus3
2025 Zhu, J., Qiao, Y., Zhang, S., He, X., Wu, Q., & Liu, J. (2025). MiniVLN: Efficient Vision-and-Language Navigation by Progressive Knowledge Distillation. In C. Ott (Ed.), Proceedings IEEE International Conference on Robotics and Automation (pp. 97-103). GA, Atlanta: IEEE.
DOI Scopus1
2025 Li, Z., Zhou, G., Hong, H., Shao, Y., Lyu, W., Qiao, Y., & Wu, Q. (2025). Ground-Level Viewpoint Vision-and-Language Navigation in Continuous Environments. In C. Ott (Ed.), Proceedings IEEE International Conference on Robotics and Automation (pp. 5266-5273). GA, Atlanta: IEEE.
DOI Scopus3 WoS2
2025 Qiao, Y., Lyu, W., Wang, H., Wang, Z., Li, Z., Zhang, Y., . . . Wu, Q. (2025). Open-Nav: Exploring Zero-Shot Vision-and-Language Navigation in Continuous Environment with Open-Source LLMs. In C. Ott (Ed.), Proceedings IEEE International Conference on Robotics and Automation (pp. 6710-6717). GA, Atlanta: IEEE.
DOI Scopus18 WoS9
2025 Tang, Y., Zhang, J., Qin, X., Yu, J., Gou, G., Gangxiong, G. X., . . . Wu, Q. (2025). Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 14400-14410). TN, Nashville: IEEE COMPUTER SOC.
DOI Scopus19 WoS8
2025 Tang, Y., Yu, J., Gai, K., Zhuang, J., Xiong, G., Gou, G., & Wu, Q. (2025). Missing Target-Relevant Information Prediction with World Model for Accurate Zero-Shot Composed Image Retrieval. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 24785-24795). TN, Nashville: IEEE COMPUTER SOC.
DOI Scopus13 WoS4
2025 Liu, S., Zhang, H., Qiao, Q., Wu, Q., & Wang, P. (2025). VLN-ChEnv: Vision-language Navigation in Changeable Environments. In Mm 2025 Proceedings of the 33rd ACM International Conference on Multimedia Co Located with mm 2025 (pp. 3798-3807). IRELAND, Dublin: ASSOC COMPUTING MACHINERY.
DOI Scopus2 WoS2
2025 Lei, L., Gai, K., Yu, J., Zhu, L., & Wu, Q. (2025). Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios. In J. Kwok (Ed.), Ijcai International Joint Conference on Artificial Intelligence (pp. 7473-7481). CANADA, Montreal: ASSOC COMPUTATIONAL LINGUISTICS-ACL.
DOI Scopus5 WoS1
2025 Shi, X., Li, Z., Lyu, W., Xia, J., Dayoub, F., Qiao, Y., & Wu, Q. (2025). SmartWay: Enhanced Waypoint Prediction and Backtracking for Zero-Shot Vision-and-Language Navigation. In C. Laugier, N. Atanasov, S. Birchfield, G. Cielniak, L. DeMattos, L. Fiorini, . . . H. Zhao (Eds.), IEEE International Conference on Intelligent Robots and Systems (pp. 16923-16930). PEOPLES R CHINA, Hangzhou: IEEE.
DOI Scopus5 WoS4
2025 Xu, X., Zheng, D., Wu, Q., Hong, W., Cheng, X., & Yao, Y. (2025). A 95-110GHz Fully Metallic Four-Beam Passive Array Antenna with High Gain and High Efficiency. In 2025 19TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, EUCAP (pp. 3 pages). SWEDEN, Stockholm: IEEE.
2025 Chen, Y., Wu, Q., & Xie, Y. (2025). MoE-Enhanced-TTT: Advancing Medical Image Segmentation. In Proceedings 2025 International Conference on Digital Image Computing Techniques and Applications Dicta 2025 (pp. 122-129). AUSTRALIA, Adelaide: IEEE COMPUTER SOC.
DOI
2025 Wang, C., Chen, Q., Xie, Y., & Wu, Q. (2025). Filling in the Missing Piece: Advancing Automated Radiology Report Generation with Clinical Insights. In Proceedings 2025 International Conference on Digital Image Computing Techniques and Applications Dicta 2025 (pp. 435-442). AUSTRALIA, Adelaide: IEEE COMPUTER SOC.
DOI
2025 Chen, F., Zhuang, B., & Wu, Q. (2025). Streaming Video Diffusion: Online Video Editing with Diffusion Models. In Proceedings of the International Conference on Digital Image Computing Techniques and Applications (pp. 90-98). United States: IEEE.
DOI
2025 Wang, C., Chen, Q., To, M. -S., Kutaiba, N., Yoo, J. -G., Xie, Y., & Wu, Q. (2025). X-Gen: Enhancing Radiology Report Generation via LLM-Driven Data Augmentation and Decoupled Training. In Proceedings of the International Conference on Digital Image Computing Techniques and Applications (pp. 450-457). United States: IEEE.
DOI
2025 Zhang, S., Qiao, Y., Wang, Q., Yan, Z., Wu, Q., Wei, Z., & Liu, J. (2025). COSMO: Combination of Selective Memorization for Low-Cost Vision-and-Language Navigation. In Proceedings of the IEEE International Conference on Computer Vision (pp. 5511-5522). IEEE.
DOI
2025 Qiao, Y., Hong, H., Lyu, W., An, D., Zhang, S., Xie, Y., . . . Wu, Q. (2025). NavBench: Probing Multimodal Large Language Models for Embodied Navigation. In Advances in Neural Information Processing Systems Vol. 38 (pp. 105664-105684).
2024 Wu, B., Xie, Y., Zhang, Z., Ge, J., Yaxley, K., Bahadir, S., . . . To, M. S. (2024). BHSD: A 3D Multi-class Brain Hemorrhage Segmentation Dataset. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14348 LNCS (pp. 147-156). Online: Springer Nature Switzerland.
DOI Scopus31 WoS5
2024 Yu, Z., Qiao, Y., Xie, Y., & Wu, Q. (2024). Multi-modal Adapter for Medical Vision-and-Language Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14348 LNCS (pp. 393-402). Online: Springer Nature Switzerland.
DOI Scopus5 WoS1
2024 Liu, S., Zhang, H., Qi, Y., Wang, P., Zhang, Y., & Wu, Q. (2024). AerialVLN: Vision-and-Language Navigation for UAVs. In Proceedings of the IEEE International Conference on Computer Vision (pp. 15338-15348). Online: IEEE.
DOI Scopus85 WoS64
2024 Tian, X., Yang, Y. L., & Wu, Q. (2024). ShapeScaffolder: Structure-Aware 3D Shape Generation from Text. In Proceedings of the IEEE International Conference on Computer Vision (pp. 2715-2724). Paris, France: IEEE.
DOI Scopus13 WoS10
2024 Deng, C., Chen, D., & Wu, Q. (2024). Identity-Consistent Aggregation for Video Object Detection. In Proceedings of the IEEE International Conference on Computer Vision (pp. 13388-13398). Online: IEEE.
DOI Scopus16 WoS14
2024 Qiao, Y., Yu, Z., & Wu, Q. (2024). VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation. In Proceedings of the IEEE International Conference on Computer Vision (pp. 15397-15406). Online: IEEE.
DOI Scopus28 WoS15
2024 Wang, Z., Li, J., Hong, Y., Wang, Y., Wu, Q., Bansal, M., . . . Qiao, Y. (2024). Scaling Data Generation in Vision-and-Language Navigation. In Proceedings of the IEEE International Conference on Computer Vision (pp. 11975-11986). Paris, France: IEEE.
DOI Scopus84 WoS52
2024 Mohammadi, B., Hong, Y., Qi, Y., Wu, Q., Pan, S., & Shi, J. Q. (2024). Augmented Commonsense Knowledge for Remote Object Grounding. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 38 (pp. 4269-4277). Online: Association for the Advancement of Artificial Intelligence (AAAI).
DOI Scopus23 WoS20
2024 Chen, Q., Pitawela, D., Zhao, C., Zhou, G., Chen, H. T., & Wu, Q. (2024). WebVLN: Vision-and-Language Navigation on Websites. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 38 (pp. 1165-1173). Online: Association for the Advancement of Artificial Intelligence (AAAI).
DOI Scopus19 WoS10
2024 Zhou, G., Hong, Y., & Wu, Q. (2024). NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 38 (pp. 7641-7649). Online: Association for the Advancement of Artificial Intelligence (AAAI).
DOI Scopus233 WoS161
2024 Tang, Y., Yu, J., Gai, K., Zhuang, J., Xiong, G., Hu, Y., & Wu, Q. (2024). Context-I2W: Mapping Images to Context-Dependent Words for Accurate Zero-Shot Composed Image Retrieval. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 38 (pp. 5180-5188). Online: Association for the Advancement of Artificial Intelligence (AAAI).
DOI Scopus65 WoS44
2024 Phan, V. M. H., Xie, Y., Qi, Y., Liu, L., Liu, L., Zhang, B., . . . Verjans, J. W. (2024). Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024) (pp. 11492-11501). Seattle, WA, USA: Institute of Electrical and Electronics Engineers (IEEE).
DOI Scopus35 WoS24
2024 Wang, X., Wu, Q., & Zhuang, B. (2024). ModaVerse: Efficiently Transforming Modalities with LLMs. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 26606-26616). Online: IEEE.
2024 Hong, H., Wang, S., Huang, Z., Wu, Q., & Liu, J. (2024). Why only text: empowering vision-and-language navigation with multi-modal prompts. In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024) (pp. 839-847). Jeju, Jeju Island, South Korea.: International Joint Conferences on Artificial Intelligence Organisation.
DOI Scopus4 WoS3
2024 Wang, X., Zhuang, B., & Wu, Q. (2024). ModaVerse: Efficiently Transforming Modalities with LLMs. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 26596-26606). WA, Seattle: IEEE COMPUTER SOC.
DOI Scopus18 WoS7
2024 Lu, Z., Xie, Y., Zeng, Q., Lu, M., Wu, Q., & Xia, Y. (2024). Spot the Difference: Difference Visual Question Answering with Residual Alignment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15005 LNCS (pp. 649-658). Marrakesh: Springer Science and Business Media Deutschland GmbH.
DOI Scopus11 WoS8
2024 Ye, Y., Xie, Y., Zhang, J., Chen, Z., Wu, Q., & Xia, Y. (2024). Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 11114-11124). Online: IEEE Computer Society.
DOI Scopus47 WoS46
2024 Wu, Y., Xie, Y., Luo, X., Wu, Q., & Cai, J. (2024). Dataset, Challenge, and Evaluation for Tumor Segmentation Variability. In Proceedings of the 32nd ACM International Conference on Multimedia (pp. 11302-11303). Melbourne VIC Australia: ACM.
DOI Scopus5 WoS2
2024 Qu, X., Yu, J., Gai, K., Zhuang, J., Tang, Y., Xiong, G., . . . Wu, Q. (2024). Visual-Semantic Decomposition and Partial Alignment for Document-based Zero-Shot Learning. In Proceedings of the 32nd ACM International Conference on Multimedia (pp. 4581-4590). Melbourne VIC Australia: ACM.
DOI Scopus6 WoS1
2024 Hong, H., Wang, S., Huang, Z., Wu, Q., & Liu, J. (2024). Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed Environments. In Proceedings of the 32nd ACM International Conference on Multimedia (MM'24) (pp. 7639-7648). New York, NY, USA: Association for Computing Machinery (ACM).
DOI Scopus5 WoS4
2024 Li, Y., Yu, J., Gai, K., Liu, B., Xiong, G., & Wu, Q. (2024). T2VIndexer: A Generative Video Indexer for Efficient Text-Video Retrieval. In Proceedings of the 32nd ACM International Conference on Multimedia (pp. 3955-3963). Melbourne, Victoria, Australia: ACM.
DOI WoS5
2024 Xie, Y., Chen, Q., Wang, S., To, M. S., Lee, I., Khoo, E. W., . . . Wu, Q. (2024). PairAug: What Can Augmented Image-Text Pairs Do for Radiology?. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 11652-11661). Seattle, Washington, USA: IEEE.
DOI Scopus13 WoS8
2024 Huang, Z., Chen, Q., Sung, L., Yang, Y., Wang, N., Wu, Q., & Tan, M. (2024). G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images. In 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (pp. 10117-10126). WA, Seattle: IEEE COMPUTER SOC.
DOI Scopus9 WoS4
2024 Qiao, Y., Yu, Z., Zhao, Z., Chen, S., Sun, M., Guo, L., . . . Liu, J. (2024). VL-Mamba: Exploring State Space Models for Multimodal Learning. In Proceedings of Machine Learning Research Vol. 262 (pp. 102-113). Vancouver, Canada: ML Research Press.
Scopus12 WoS1
2024 Wei, Y., Fu, S., Jiang, W., Zhang, Z., Zeng, Z., Wu, Q., . . . Zhang, Y. (2024). GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning. In Advances in Neural Information Processing Systems Vol. 37 (pp. 29 pages). Vancouver, Canada: Neural information processing systems foundation.
Scopus22
2024 Chen, Q., Zhang, B., Wang, G., & Wu, Q. (2024). Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), Advances in Neural Information Processing Systems Vol. 37 (pp. 24 pages). CANADA, Vancouver: NEURAL INFORMATION PROCESSING SYSTEMS (NIPS).
Scopus5
2024 He, K., Chen, K., Bai, J., Huang, Y., Wu, Q., Xia, S. T., & Wang, L. (2024). Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor. In Advances in Neural Information Processing Systems Vol. 37 (pp. 22 pages). Vancouver, Canada: Neural information processing systems foundation.
Scopus3
2024 Fu, Z., Zhao, Q., Wu, Q., Wetzstein, G., & Finn, C. (2024). HumanPlus: Humanoid Shadowing and Imitation from Humans. In O. Kroemer, P. Agrawal, & W. Burgard (Eds.), CONFERENCE ON ROBOT LEARNING Vol. 270 (pp. 17 pages). GERMANY, Munich: JMLR-JOURNAL MACHINE LEARNING RESEARCH.
2024 Ye, T., Wu, Q., Deng, J., Liu, G., Liu, L., Xia, S., . . . Pei, L. (2024). Thermal-NeRF: Neural Radiance Fields from an Infrared Camera. In 2024 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROS 2024 (pp. 1046-1053). U ARAB EMIRATES, Abu Dhabi: IEEE.
DOI WoS12
2024 Xu, J., Ma, J., Wu, Q., Zhou, Z., Wang, Y., Chen, X., . . . Pei, L. (2024). Explicit Interaction for Fusion-Based Place Recognition. In 2024 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROS 2024 (pp. 3318-3325). U ARAB EMIRATES, Abu Dhabi: IEEE.
DOI WoS3
2024 Yang, J., Xia, S., Song, Y., Wu, Q., & Pei, L. (2024). MMBAT: A MULTI-TASK FRAMEWORK FOR MMWAVE-BASED HUMAN BODY RECONSTRUCTION AND TRANSLATION PREDICTION. In 2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2024) (pp. 8446-8450). SOUTH KOREA, Seoul: IEEE.
DOI WoS6
2024 Zhang, Y., Xia, S., Chu, L., Yang, J., Wu, Q., & Ling, P. (2024). Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors. In 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2024 (pp. 1889-1899). WA, Seattle: IEEE COMPUTER SOC.
DOI WoS33
2023 Rodriguez-Opazo, C., Marrese-Taylor, E., Fernando, B., Takamura, H., & Wu, Q. (2023). Memory-efficient Temporal Moment Localization in Long Videos. In EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference (pp. 1901-1916). Online: Association for Computational Linguistics (ACL).
DOI Scopus6
2023 Chen, Q., Deng, C., & Wu, Q. (2023). Learning Distinct and Representative Modes for Image Captioning. In Advances in Neural Information Processing Systems Vol. 35 (pp. 14 pages). USA: Neural information processing systems foundation.
Scopus23 WoS1
2023 Huang, Y., Leung, C. H., Ma, S., Yuan, Z., Wu, Q., Wang, S., . . . Huang, Z. (2023). Towards Balanced Representation Learning for Credit Policy Evaluation. In Proceedings of the International Conference on Artificial Intelligence and Statistics Vol. 206 (pp. 3677-3692). Valencia, Spain (virtual event).
Scopus6
2023 Zhao, C., Qi, Y., & Wu, Q. (2023). Mind the Gap: Improving Success Rate of Vision-and-Language Navigation by Revisiting Oracle Success Routes. In Proceedings of the 31st ACM International Conference on Multimedia (pp. 4349-4358). Ottawa ON Canada: ACM.
DOI Scopus17 WoS14
2023 Cong, G., Li, L., Qi, Y., Zha, Z. J., Wu, Q., Wang, W., . . . Huang, Q. (2023). Learning to Dub Movies via Hierarchical Prosody Models. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2023-June (pp. 14687-14697). Online: IEEE.
DOI Scopus35 WoS30
2023 Guan, Q., Xie, Y., Yang, B., Zhang, J., Liao, Z., Wu, Q., & Xia, Y. (2023). Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14222 (pp. 603-613). Vancouver, BC, Canada: Springer Nature Switzerland.
DOI Scopus4 WoS2
2023 Xie, Y., Gu, L., Harada, T., Zhang, J., Xia, Y., & Wu, Q. (2023). MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14220 (pp. 13-23). Vancouver, BC, Canada: Springer Nature Switzerland.
DOI Scopus17 WoS15
2023 Wen, Z., Wang, Y., Tan, M., Wu, Q., & Wu, Q. (2023). Digging out Discrimination Information from Generated Samples for Robust Visual Question Answering. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 6910-6928). Dubrovnik, Croatia and Online: Association for Computational Linguistics.
DOI Scopus15 WoS9
2023 Suo, W., Sun, M., Liu, W., Gao, Y., Wang, P., Zhang, Y., & Wu, Q. (2023). S<SUP>3</SUP>C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning. In 2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR Vol. 2023-June (pp. 2646-2656). Online: IEEE COMPUTER SOC.
DOI Scopus15 WoS10
2023 Qiao, Y., Qi, Y., Yu, Z., Liu, J., & Wu, Q. (2023). March in Chat: Interactive Prompting for Remote Embodied Referring Expression. In Proceedings of the IEEE International Conference on Computer Vision (pp. 15712-15721). Paris, France: IEEE.
DOI Scopus43 WoS38
2023 Yu, Z., Xie, Y., Xia, Y., & Wu, Q. (2023). PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14394 LNCS (pp. 357-367). Online: Springer Nature Switzerland.
DOI Scopus2 WoS2
2023 Deng, C., Chen, Q., Qin, P., Chen, D., & Wu, Q. (2023). Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval. In Proceedings of the IEEE International Conference on Computer Vision (pp. 15602-15612). Online: IEEE.
DOI Scopus51 WoS38
2023 Gao, J., Blair, A., Wu, Q., & Pagnucco, M. (2023). LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering. In Advances in Neural Information Processing Systems Vol. 36 (pp. 13 pages). Online: Neural information processing systems foundation.
Scopus6
2023 Wu, Q., Chao, W., Zhou, X., & Luo, Z. (2023). TP-Detector: Detecting Turning Points in the Engineering Process of Large-scale Projects. In EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings of the System Demonstrations (pp. 177-185). Singapore: Association for Computational Linguistics (ACL).
DOI
2023 Rodriguez-Opazo, C., Marrese-Taylor, E., Fernando, B., Takamura, H., & Wu, Q. (2023). Memory-efficient Temporal Moment Localization in Long Videos. In A. Vlachos, & I. Augenstein (Eds.), 17TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EACL 2023 (pp. 1909-1924). CROATIA, Dubrovnik: ASSOC COMPUTATIONAL LINGUISTICS-ACL.
WoS3
2022 Chen, C., Hu, Z., Jin, S., Xiao, L., Hu, M., Wu, Q., . . . Zou, M. (2022). Classification of COVID-19 in CT Scans Using Image Smoothing and Improved Deep Residual Network. In Artificial Intelligence First CAAI International Conference, CICAI 2021, Hangzhou, China, June 5–6, 2021, Proceedings, Part I Vol. 13069 LNAI (pp. 89-100). Switzerland: Springer.
DOI
2022 Kazemi Moghaddam, M., Abbasnejad, E., Wu, Q., Qinfeng Shi, J., & Van Den Hengel, A. (2022). ForeSI: Success-Aware Visual Navigation Agent. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2022) (pp. 3401-3410). Online: IEEE.
DOI Scopus11 WoS11
2022 Qi, Y., Pan, Z., Hong, Y., Yang, M. H., Van Den Hengel, A., & Wu, Q. (2022). The Road to Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2021) (pp. 1635-1644). online: IEEE.
DOI Scopus83 WoS47
2022 Gu, J., Stefani, E., Wu, Q., Thomason, J., & Wang, X. E. (2022). Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions. In PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), VOL 1: (LONG PAPERS) Vol. 1 (pp. 7606-7623). Online: ASSOC COMPUTATIONAL LINGUISTICS-ACL.
DOI Scopus91 WoS69
2022 Zhu, W., Qi, Y., Narayana, P., Sone, K., Basu, S., Wang, E. X., . . . Wang, W. Y. (2022). Diagnosing Vision-and-Language Navigation: What Really Matters. In NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference (pp. 5981-5993). Online: ssociation for Computational Linguistics (ACL).
DOI Scopus28 WoS20
2022 Chen, Q., Tan, M., Qi, Y., Zhou, J., Li, Y., & Wu, Q. (2022). V2C: Visual Voice Cloning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, 2022) Vol. 2022-June (pp. 21210-21219). Online: IEEE.
DOI Scopus39 WoS26
2022 Jing, C., Jia, Y., Wu, Y., Liu, X., & Wu, Q. (2022). Maintaining Reasoning Consistency in Compositional Visual Question Answering. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 5089-5098). Online: IEEE.
DOI Scopus36 WoS30
2022 Hong, Y., Wang, Z., Wu, Q., & Gould, S. (2022). Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 15418-15428). Online: IEEE.
DOI Scopus102 WoS83
2022 Xie, Y., Zhang, J., Xia, Y., & Wu, Q. (2022). UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier. In Proceedings, Part XXI of the 17th European Conference on Computer Vision (ECCV 2022), as published in Lecture Notes in Computer Science Vol. 13681 LNCS (pp. 558-575). Online: Springer.
DOI Scopus74 WoS69
2022 Ding, Y., Yu, J., Liu, B., Hu, Y., Cui, M., & Wu, Q. (2022). MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 5079-5088). Online: IEEE.
DOI Scopus154 WoS133
2022 Qiao, Y., Qi, Y., Hong, Y., Yu, Z., Wang, P., & Wu, Q. (2022). HOP: History-and-Order Aware Pretraining for Vision-and-Language Navigation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 15397-15406). New Orleans, LA, USA: IEEE.
DOI Scopus104 WoS74
2022 Suo, W., Sun, M., Niu, K., Gao, Y., Wang, P., Zhang, Y., & Wu, Q. (2022). A Simple and Robust Correlation Filtering Method for Text-Based Person Search. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13695 LNCS (pp. 726-742). Online: Springer Nature Switzerland.
DOI Scopus96 WoS85
2022 Jing, C., Jia, Y., Wu, Y., Li, C., & Wu, Q. (2022). Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing. In Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 Vol. 36 (pp. 1122-1130). Palo Alto, California USA: AAAI Press.
DOI Scopus9 WoS4
2022 Tian, X., Yang, Y. L., & Wu, Q. (2022). Enhancing Person Synthesis in Complex Scenes via Intrinsic and Contextual Structure Modeling. In BMVC 2022 - 33rd British Machine Vision Conference Proceedings.
Scopus1
2022 Cao, Y., Wu, Q., Zhang, B., Liu, Z., & Li, J. (2022). FSE-MV: Compressed Domain Video Information Assisted Hybrid Real-Time Vehicle Speed Estimation. In C. T. Calafate, X. Chen, & Y. Wu (Eds.), MOBILE NETWORKS AND MANAGEMENT, MONAMI 2021 Vol. 418 (pp. 100-114). ELECTR NETWORK: SPRINGER INTERNATIONAL PUBLISHING AG.
DOI
2022 Wu, Q., Zhu, Y., Zhuge, Q., & Hu, W. (2022). Carrier-Assisted Phase Retrieval with Multiple Projections. In 2022 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE, ACP (pp. 465-468). PEOPLES R CHINA, So Univ Sci & Technol, Shenzhen: IEEE.
DOI WoS2
2022 Zhu, Y., Zeng, X., Wu, Q., Jiang, H., Zhuge, Q., & Hu, W. (2022). High-Pass Delta-Sigma-over-Fiber-based 1048576-QAM Delivery above 24GHz for 5G New Radio. In 2022 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE, ACP (pp. 13-17). PEOPLES R CHINA, So Univ Sci & Technol, Shenzhen: IEEE.
DOI WoS4
2022 Zhang, Y., Zhu, Y., Wu, Q., Zhuge, Q., & Hu, W. (2022). Piecewise Linear and Nonlinearity-aware Complex-valued Decision Feedback Equalization for DML-DD Link at C Band. In 2022 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE, ACP (pp. 585-589). PEOPLES R CHINA, So Univ Sci & Technol, Shenzhen: IEEE.
DOI WoS1
2022 Wu, Q., Zhu, Y., & Hu, W. (2022). Weak Carrier Assisted Phase Retrieval Receiver. In 2022 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC) (pp. 3 pages). CA, San Diego: IEEE.
2022 Wu, Q., Zhu, Y., & Hu, W. (2022). Low-complexity and Non-iterative SSBI Decomposition and Cancellation Algorithm for SSB Direct Detection System. In 2022 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC) (pp. 3 pages). CA, San Diego: IEEE.
2022 Wu, Q., Zhu, Y., Zhuge, Q., & Hu, W. (2022). Dual-Polarization Direct Detection with Jones Space Field Recovery. In 2022 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE, ACP (pp. 763-767). PEOPLES R CHINA, So Univ Sci & Technol, Shenzhen: IEEE.
DOI WoS1
2021 Kazemi Moghaddam, M., Wu, Q., Abbasnejad, E., & Shi, J. (2021). Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation. In Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV 2021) (pp. 3732-3741). online: IEEE.
DOI Scopus19 WoS16
2021 Zheng, Y., Wen, Z., Tan, M., Zeng, R., Chen, Q., Wang, Y., & Wu, Q. (2021). Modular graph attention network for complex visual relational reasoning. In Proceedings of the 15th Asian Conference on Computer Vision (ACCV 2020), as published in Lecture Notes in Computer Science Vol. 12627 (pp. 137-153). Cham, Switzerland: Springer.
DOI Scopus2
2021 Zhu, Q., Gao, C., Wang, P., & Wu, Q. (2021). Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps. In THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE Vol. 35 (pp. 3608-3615). ELECTR NETWORK: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE.
DOI Scopus50 WoS38
2021 Wang, Z., Bao, R., Wu, Q., & Liu, S. (2021). Confidence-aware Non-repetitive Multimodal Transformers for TextCaps. In THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE Vol. 35 (pp. 2835-2843). ELECTR NETWORK: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE.
DOI Scopus25 WoS17
2021 Liu, L., He, M., Xu, G., Tan, M., & Wu, Q. (2021). How to Train Your Agent to Read and Write. In THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE Vol. 35 (pp. 13397-13405). Online: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE.
DOI Scopus3 WoS3
2021 Wu, Q., Qin, M., Song, J., & Liu, L. (2021). An improved method of low light image enhancement based on retinex. In 2021 6th International Conference on Image, Vision and Computing, ICIVC 2021 (pp. 233-241). online: IEEE.
DOI Scopus14
2021 An, D., Qi, Y., Huang, Y., Wu, Q., Wang, L., & Tan, T. (2021). Neighbor-view Enhanced Model for Vision and Language Navigation. In MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia (pp. 5101-5109). virtual online: ACM.
DOI Scopus79 WoS64
2021 Qiao, Y., Chen, Q., Deng, C., DIng, N., Qi, Y., Tan, M., . . . Wu, Q. (2021). R-GAN: Exploring Human-like Way for Reasonable Text-to-Image Synthesis via Generative Adversarial Networks. In Proceedings of the 29th ACM International Conference on Multimedia (pp. 2085-2093). United States: Association for Computing Machinery.
DOI Scopus17 WoS15
2021 Yao, Y., Chen, T., Xie, G. S., Zhang, C., Shen, F., Wu, Q., . . . Zhang, J. (2021). Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 2623-2632). online: IEEE.
DOI Scopus229 WoS188
2021 Yao, Y., Sun, Z., Zhang, C., Shen, F., Wu, Q., Zhang, J., & Tang, Z. (2021). Jo-SRC: A Contrastive Approach for Combating Noisy Labels. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 5188-5197). online: IEEE.
DOI Scopus188 WoS173
2021 Deng, C., Chen, S., Chen, D., He, Y., & Wu, Q. (2021). Sketch, ground, and refine: top-down dense video captioning. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2021) (pp. 234-243). online: IEEE.
DOI Scopus83 WoS58
2021 Hong, Y., Wu, Q., Qi, Y., Rodriguez Opazo, C., & Gould, S. (2021). VLN↻BERT: A Recurrent Vision-and-Language BERT for Navigation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1643-1653). online: IEEE.
DOI Scopus323 WoS231
2021 Xu, G., Niu, S., Tan, M., Luo, Y., Du, Q., & Wu, Q. (2021). Towards Accurate Text-based Image Captioning with Content Diversity Exploration. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 12632-12641). online: IEEE.
DOI Scopus73 WoS50
2021 Gao, C., Chen, J., Liu, S., Wang, L., Zhang, Q., & Wu, Q. (2021). Room-and-Object Aware Knowledge Reasoning for Remote Embodied Referring Expression. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 3063-3072). online: IEEE COMPUTER SOC.
DOI Scopus94 WoS69
2021 Wu, Q., Wu, C. J., Zhu, Y., & Joo, J. (2021). Communicative Learning with Natural Gestures for Embodied Navigation Agents with Human-in-the-Scene. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 4095-4102). online: IEEE.
DOI Scopus23 WoS11
2021 Yu, J., Chai, Y., Wang, Y., Hu, Y., & Wu, Q. (2021). CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation. In IJCAI International Joint Conference on Artificial Intelligence (pp. 1274-1280). online: International Joint Conferences on Artificial Intelligence.
DOI Scopus79 WoS54
2021 Suo, W., Sun, M., Wang, P., & Wu, Q. (2021). Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention. In IJCAI International Joint Conference on Artificial Intelligence (pp. 1032-1038). online: International Joint Conferences on Artificial Intelligence.
DOI Scopus11 WoS8
2021 Gao, C., Zhu, Q., Wang, P., & Wu, Q. (2021). Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21) (pp. 664-670). United States: International Joint Conferences on Artificial Intelligence.
DOI Scopus2 WoS1
2021 Wen, Z., Xu, G., Tan, M., Wu, Q., & Wu, Q. (2021). Debiased Visual Question Answering from Feature and Sample Perspectives. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. Wortman Vaughan (Eds.), Advances in Neural Information Processing Systems 34 Vol. 5 (pp. 3784-3796). Online: Neural Information Processing Systems Foundation, Inc (NeurIPS).
Scopus96 WoS52
2021 He, K., Huang, Y., Wu, Q., Yang, J., An, D., Sima, S., & Wang, L. (2021). Landmark-RxR: Solving Vision-and-Language Navigation with Fine-Grained Alignment Supervision. In Advances in Neural Information Processing Systems Vol. 2 (pp. 652-663). ELECTR NETWORK: NEURAL INFORMATION PROCESSING SYSTEMS (NIPS).
Scopus40 WoS113
2021 Yu, Q., Chu, L., Wu, Q., & Pei, L. (2021). GRAYSCALE AND NORMAL GUIDED DEPTH COMPLETION WITH A LOW-COST LIDAR. In 2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) (pp. 979-983). ELECTR NETWORK: IEEE.
DOI WoS13
2021 Zhu, Y., Wu, Q., Yin, L., & Hu, W. (2021). Faster-Than-Nyquist Subcarrier Modulation Utilizing Digital Brick-Wall Filter-Based THP for Band-Limited DML-DD Systems. In 2021 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC) (pp. 4 pages). FRANCE, Bordeaux: IEEE.
DOI WoS5
2021 Wu, Q., Zhu, Y., Yin, L., & Hu, W. (2021). 50GBaud PAM-4 IM-DD Transmission with 24% Bandwidth Compression Based on Polybinary Spectral Shaping. In 2021 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC) (pp. 4 pages). FRANCE, Bordeaux: IEEE.
DOI WoS9
2021 Zhu, Y., Miao, X., Wu, Q., & Hu, W. (2021). Slicing and Sliding Algorithm Compatible with PAM/SCM Signal for Chirp and Dispersion Induced Distortion Compensation in DML-Based DD System. In 2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC) (pp. 3 pages). ELECTR NETWORK: IEEE.
2021 Wu, Q., Zhu, Y., Yin, L., & Hu, W. (2021). Quantization Noise-Aware Partial Pre-Emphasis Model and Experimental Validation in High-Speed IM-DD System. In 2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC) (pp. 3 pages). ELECTR NETWORK: IEEE.
2020 Liao, Z., Liu, L., Wu, Q., Teney, D., Shen, C., Van Den Hengel, A., & Verjans, J. (2020). Medical data inquiry using a question answering model. In Proceedings: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020) Vol. 2020-April (pp. 1490-1493). online: IEEE.
DOI Scopus10 WoS5
2020 Chen, Z., Wang, P., Ma, L., Wong, K. Y. K., & Wu, Q. (2020). Cops-Ref: A New Dataset and Task on Compositional Referring Expression Comprehension. In Proceedings of the 2020 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 10083-10092). online: IEEE.
DOI Scopus70 WoS27
2020 Qi, Y., Wu, Q., Anderson, P., Wang, X., Wang, W. Y., Shen, C., & Van Den Hengel, A. (2020). Reverie: Remote embodied visual referring expression in real indoor environments. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 9979-9988). online: IEEE.
DOI Scopus363 WoS294
2020 Liao, Z., Wu, Q., Shen, C., Van Den Hengel, A., & Verjans, J. (2020). AIML at VQA-Med 2020: Knowledge inference via a skeleton-based sentence mapping approach for medical domain visual question answering. In L. Cappellato, C. Eickhoff, N. Ferro, & A. Névéol (Eds.), Proceedings of the 11th International Conference of the CLEF Initiative (CLEF 2020), as published in CEUR Workshop Proceedings Vol. 2696 (pp. 1-14). online: CEUR-WS.
Scopus8
2020 Abbasnejad, M., Abbasnejad, I., Wu, Q., Shi, Q., & Van Den Hengel, A. (2020). Gold seeker: Information gain from policy distributions for goal-oriented vision-and-langauge reasoning. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 13447-13456). online: IEEE.
DOI Scopus4 WoS1
2020 Chen, S., Jin, Q., Wang, P., & Wu, Q. (2020). Say as you wish: Fine-grained control of image caption generation with abstract scene graphs. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 9959-9968). online: IEEE.
DOI Scopus253 WoS205
2020 Chen, S., Zhao, Y., Jin, Q., & Wu, Q. (2020). Fine-grained video-text retrieval with hierarchical graph reasoning. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 10635-10644). online: IEEE.
DOI Scopus376 WoS196
2020 Chen, Q., Wu, Q., Tang, R., Wang, Y., Wang, S., & Tan, M. (2020). Intelligent home 3D: Automatic 3D-house design from linguistic descriptions only. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 12622-12631). online: IEEE.
DOI Scopus51 WoS38
2020 Wang, H., Wu, Q., & Shen, C. (2020). Soft Expert Reward Learning for Vision-and-Language Navigation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12354 LNCS (pp. 126-141). Switzerland: Springer Nature.
DOI Scopus33 WoS25
2020 Tang, R., Ma, C., Zhang, W. E., Wu, Q., & Yang, X. (2020). Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12364 LNCS (pp. 437-453). Switzerland: Springer International Publishing.
DOI Scopus44 WoS38
2020 Deng, C., Ding, N., Tan, M., & Wu, Q. (2020). Length-Controllable Image Captioning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12358 LNCS (pp. 712-729). Switzerland: Springer International Publishing.
DOI Scopus55 WoS58
2020 Qi, Y., Pan, Z., Zhang, S., van den Hengel, A., & Wu, Q. (2020). Object-and-Action Aware Model for Visual Language Navigation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12355 LNCS (pp. 303-317). Switzerland: Springer International Publishing.
DOI Scopus92 WoS62
2020 Jiang, X., Yu, J., Sun, Y., Qin, Z., Zhu, Z., Hu, Y., & Wu, Q. (2020). DAM: Deliberation, abandon and memory networks for generating detailed and non-repetitive responses in visual dialogue. In IJCAI International Joint Conference on Artificial Intelligence Vol. 2021-January (pp. 687-693). online: AAAI Press.
Scopus12 WoS5
2020 Zhu, Z., Yu, J., Wang, Y., Sun, Y., Hu, Y., & Wu, Q. (2020). Mucko: Multi-layer cross-modal knowledge reasoning for fact-based visual question answering. In IJCAI International Joint Conference on Artificial Intelligence Vol. 2021-January (pp. 1097-1103). online: AAAI Press.
Scopus114 WoS113
2020 Jiang, X., Yu, J., Qin, Z., Zhuang, Y., Zhang, X., Hu, Y., & Wu, Q. (2020). DualVD: An adaptive dual encoding model for deep visual understanding in visual dialogue. In AAAI 2020 - 34th AAAI Conference on Artificial Intelligence Vol. 34 (pp. 11125-11132). online: AAAI.
Scopus63 WoS46
2020 Jing, C., Wu, Y., Zhang, X., Jia, Y., & Wu, Q. (2020). Overcoming language priors in VQA via decomposed linguistic representations. In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-20) Vol. 34 (pp. 11181-11188). online: AAAI.
DOI Scopus108 WoS77
2020 Zhang, C., Yao, Y., Shu, X., Li, Z., Tang, Z., & Wu, Q. (2020). Data-driven Meta-set Based Fine-Grained Visual Recognition. In MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia (pp. 2372-2381). online: ACM.
DOI Scopus23 WoS17
2020 Wang, P., Liu, D., Li, H., & Wu, Q. (2020). Give Me Something to Eat: Referring Expression Comprehension with Commonsense Knowledge. In MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia (pp. 28-36). online: ACM.
DOI Scopus21 WoS18
2020 Jing, C., Wu, Y., Pei, M., Hu, Y., Jia, Y., & Wu, Q. (2020). Visual-Semantic Graph Matching for Visual Grounding. In MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia (pp. 4041-4050). online: ACM.
DOI Scopus33 WoS23
2020 Liu, F., Xu, G., Wu, Q., Du, Q., Jia, W., & Tan, M. (2020). Cascade Reasoning Network for Text-based Visual Question Answering. In MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia (pp. 4060-4069). online: ACM.
DOI Scopus61 WoS46
2020 Hong, Y., Rodriguez-Opazo, C., Qi, Y., Wu, Q., & Gould, S. (2020). Language and visual entity relationship graph for agent navigation. In Advances in Neural Information Processing Systems Vol. 2020-December (pp. 1-12). online: NIPS.
Scopus100
2020 Hong, Y., Rodriguez Opazo, C., Wu, Q., & Gould, S. (2020). Sub-Instruction Aware Vision-and-Language Navigation. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 3360-3376). virtual online: Association for Computational Linguistics.
DOI Scopus55 WoS40
2019 Duan, X., Wu, Q., Gan, C., Zhang, Y., Huang, W., Van Den Hengel, A., & Zhu, W. (2019). Watch, reason and code: Learning to represent videos using program. In Proceedings of the 27th ACM International Conference on Multimedia (ACM Multimedia 2019), MM '19 (pp. 1543-1551). online: Association for Computing Machinery.
DOI Scopus5 WoS1
2019 Abbasnejad, E., Wu, Q., Shi, Q., & Van Den Hengel, A. (2019). What's to know? uncertainty as a guide to asking goal-oriented questions. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 4150-4159). online: IEEE.
DOI Scopus18 WoS10
2019 Zhang, J., Wu, Q., Zhang, J., Shen, C., & Lu, J. (2019). Mind your neighbours: Image annotation with metadata neighbourhood graph co-attention networks. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 2951-2959). online: IEEE.
DOI Scopus22 WoS13
2019 Wang, P., Wu, Q., Cao, J., Shen, C., Gao, L., & Hengel, A. V. D. (2019). Neighbourhood watch: Referring expression comprehension via language-guided graph attention networks. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 1960-1968). online: IEEE.
DOI Scopus295 WoS256
2018 Ma, C., Shen, C., Dick, A., Wu, Q., Wang, P., Van Den Hengel, A., & Reid, I. (2018). Visual Question Answering with memory-augmented network. In Proceedings: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) (pp. 6975-6984). Salt Lake City, Utah: IEEE.
DOI Scopus108 WoS84
2018 Anderson, P., Wu, Q., Teney, D., Bruce, J., Johnson, M., Sünderhauf, N., . . . Hengel, A. V. D. (2018). Vision-and-language navigation: interpreting visually-grounded navigation instructions in real environments. In Proceedings: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) Vol. abs/1711.07280 (pp. 3674-3683). Salt Lake City, UT: IEEE.
DOI Scopus1263 WoS1451
2018 Zhang, J., Xie, Y., Wu, Q., & Xia, Y. (2018). Skin lesion classification in dermoscopy images using synergic deep learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11071 LNCS (pp. 12-20). Switzerland: Springer.
DOI Scopus49 WoS33
2018 Zhang, J., Wu, Q., Shen, C., Zhang, J., Lu, J., & van den Hengel, A. (2018). Goal-oriented visual question generation via intermediate rewards. In V. Ferrari, M. Hebert, C. Sminchisescu, & Y. Weiss (Eds.), Computer Vision - ECCV 2018: Proceedings, Part V Vol. Lecture Notes in Computer Science; vol. 11209 (pp. 189-204). Munich: Springer.
DOI Scopus13 WoS20
2018 Zhuang, B., Wu, Q., Shen, C., Reid, I., & van den Hengel, A. (2018). Parallel attention: a unified framework for visual object discovery through dialogs and queries. In Proceedings: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) (pp. 4252-4261). Salt Lake City, UT: IEEE.
DOI Scopus144 WoS110
2018 Cao, I., Guo, Y., Wu, Q., Shen, C., Huang, J., & Tan, M. (2018). Adversarial learning with local coordinate coding. In 35th International Conference on Machine Learning, ICML 2018 Vol. 2 (pp. 1104-1117). online: PMLR.
Scopus23 WoS11
2018 Zhang, J., Zhang, J., Wu, Q., Wu, Q., Xu, J., Lu, J., . . . Tang, Z. (2018). Historical image annotation by exploring the tag relevance. In Proceedings - 4th Asian Conference on Pattern Recognition, ACPR 2017 (pp. 646-651). Nanjing, PEOPLES R CHINA: IEEE.
DOI Scopus1 WoS1
2018 Zhuang, B., Wu, Q., Shen, C., Reid, I., & Van Den Hengel, A. (2018). HCVRD: A benchmark for large-scale human-centered visual relationship detection. In 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 (pp. 7631-7638). New Orleans: Association for the Advancement of Artificial Intelligence.
Scopus39 WoS31
2018 Zhang, J., Wu, Q., Zhang, J., Shen, C., & Lu, J. (2018). Kill two birds with one stone: Weakly-supervised neural network for image annotation and tag refinement. In 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 (pp. 7550-7557). New Orleans: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE.
Scopus9 WoS6
2018 Wu, Q., Wang, P., Shen, C., Reid, I., & Hengel, A. (2018). Are you talking to me? Reasoned visual dialog generation through adversarial learning. In Proceedings: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) (pp. 6106-6115). Salt Lake City, UT: IEEE.
DOI Scopus116 WoS96
2018 Deng, C., Wu, Q., Wu, Q., Hu, F., Lyu, F., & Tan, M. (2018). Visual Grounding via Accumulated Attention. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 7746-7755). online: IEEE.
DOI Scopus189 WoS149
2018 Anderson, P., Das, A., & Wu, Q. (2018). Connecting language and vision to actions. In ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference Tutorial Abstracts (pp. 10-14). Melbourne: Association for Computational Linguistics.
DOI
2018 Huang, Y., Wu, Q., Song, C., & Wang, L. (2018). Learning Semantic Concepts and Order for Image and Sentence Matching. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 6163-6171). online: IEEE.
DOI Scopus353 WoS284
2018 Zhuang, Z., Tan, M., Zhuang, B., Liu, J., Guo, Y., Wu, Q., . . . Zhu, J. (2018). Discrimination-aware Channel Pruning for Deep Neural Networks. In Advances in Neural Information Processing Systems Vol. 2018-December (pp. 875-886). online: NIPS.
Scopus476 WoS292
2018 Wang, C., Zhao, R., Yang, X., & Wu, Q. (2018). Research of UAV Target Detection and Flight Control Based on Deep Learning. In 2018 International Conference on Artificial Intelligence and Big Data (ICAIBD) (pp. 170-174). online: IEEE.
DOI WoS15
2018 Wu, Q., Wang, P., Liu, E., Fan, Y., Duan, D., Wang, Z., & Cai, S. (2018). Design and Implementation of Learning Management Platform for Aviation Flight Training Based on SCORM/AICC Standard-A Case Study of K Airline Company Flight Training Learning Platform. In ADVANCED SCIENCE LETTERS Vol. 24 (pp. 5194-5198). INDONESIA, Bandung: AMER SCIENTIFIC PUBLISHERS.
DOI WoS1
2018 Cao, J., Guo, Y., Wu, Q., Shen, C., Huang, J., & Tan, M. (2018). Adversarial Learning with Local Coordinate Coding. In Proceedings of Machine Learning Research Vol. 80 (pp. 707-715).
Scopus10
2017 Wang, P., Wu, Q., Shen, C., Dick, A., & Van Den Hengel, A. (2017). Explicit knowledge-based reasoning for visual question answering. In C. Sierra (Ed.), Proceedings of the twenty-sixth International Joint Conference on Artificial Intelligence Vol. 0 (pp. 1290-1296). online: IJCAI.
DOI Scopus169 WoS113
2017 Wang, P., Wu, Q., Shen, C., & van den Hengel, A. (2017). The VQA-machine: learning how to use existing vision algorithms to answer new questions. In Proceedings: 30th IEEE Conference on Computer Vision and Pattern Recognition Vol. 2017-January (pp. 3909-3918). Honolulu: IEEE.
DOI Scopus73 WoS44
2017 Wang, Q., Chen, W., & Wu, Q. (2017). The research and application of an real-time embedded measurement and control system for the river discharge. In S. Li, Y. Dai, & Y. Cheng (Eds.), 2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE) (pp. 1295-1298). Changsha, PEOPLES R CHINA: IEEE.
DOI
2016 Wu, Q., Wang, P., Shen, C., Dick, A., & Van Den Hengel, A. (2016). Ask me anything: free-form visual question answering based on knowledge from external sources. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2016-December (pp. 4622-4630). Las Vegas, NV: IEEE.
DOI Scopus328 WoS219
2016 Wu, Q., Shen, C., Liu, L., Dick, A., & Van Den Hengel, A. (2016). What value do explicit high level concepts have in vision to language problems?. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2016-December (pp. 203-212). Las Vegas, NV: IEEE.
DOI Scopus439 WoS304
2016 Wu, Q., Wang, C., Li, A., & Huang, B. (2016). Integral sliding mode controller design for near space vehicle with input constraints. In 2016 IEEE CHINESE GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC) (pp. 187-191). PEOPLES R CHINA, Nanjing: IEEE.
WoS2
2016 Tang, J., Guo, Y., Lai, X., Liu, Y., & Wu, Q. (2016). Study on the Correlation between Fe<SUP>2+</SUP> and Peridot's Yellow Green Color and Quality Evaluation of Color Based on CIE1976 L*a*b* Uniform Color Space. In X. Xiao, & P. Han (Eds.), PROCEEDINGS OF THE 2016 5TH INTERNATIONAL CONFERENCE ON ENVIRONMENT, MATERIALS, CHEMISTRY AND POWER ELECTRONICS Vol. 84 (pp. 599-604). PEOPLES R CHINA, Zhengzhou: ATLANTIS PRESS.
WoS2
2016 Gao, G., Yang, H., Wu, Q., Mao, S. -J., & Yin, W. -L. (2016). A Wideband and Low Cross Polarization Slot Antenna Based on Differential-Feed. In INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATION AND NETWORK ENGINEERING (WCNE 2016) (pp. 4 pages). PEOPLES R CHINA, Beijing: DESTECH PUBLICATIONS, INC.
2016 Gao, G., Yang, H., Jin, Z., & Wu, Q. (2016). A Broadband Dual-polarization Slot Antenna Based on Substrate-integrated Cavity. In 2016 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM (PIERS) (pp. 1994-1998). PEOPLES R CHINA, Shanghai: IEEE.
2016 Wu, Q., Yang, H., Jin, Z., Gao, G., & Cao, D. (2016). A Design of Band-pass Filter with Steep Stopband Attenuation Based on Transmission Zeros. In 2016 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM (PIERS) (pp. 3482-3486). PEOPLES R CHINA, Shanghai: IEEE.
2016 Wang, X., Wu, Q., & Yang, J. (2016). Extended PGA Processing of High Resolution Airborne SAR Imagery Reconstructed via Backprojection Algorithm. In 2016 CIE INTERNATIONAL CONFERENCE ON RADAR (RADAR) (pp. 3 pages). PEOPLES R CHINA, Guangzhou: IEEE.
2016 Wu, Q., Yang, H., Gao, G., Gu, L., & Zhao, F. (2016). A Design of High Gain Archimedean Spiral Antenna. In INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATION AND NETWORK ENGINEERING (WCNE 2016) (pp. 4 pages). PEOPLES R CHINA, Beijing: DESTECH PUBLICATIONS, INC.
2015 Cai, H., Wu, Q., & Hall, P. (2015). Beyond Photo-Domain Object Recognition: Benchmarks for the Cross-Depiction Problem. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2015-February (pp. 74-79). Santigo: IEEE.
DOI Scopus3 WoS4
2015 Wu, Q., Chen, F. -C., & Huang, R. -Y. (2015). Detecting Temporal Community from Dynamic Heterogeneous Networks. In PROCEEDINGS OF 2015 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2015) (pp. 610-613). Harbin, PEOPLES R CHINA: IEEE.
2015 Wu, Q., Vogt, A., Briins, H. -D., Gronwald, F., & Schuster, C. (2015). Numerical and Experimental Evaluation of Electromagnetic Coupling between Radiating Antenna Structures inside a Computer Casing. In 2015 IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY (EMC) (pp. 328-333). GERMANY, Dresden: IEEE.
2015 Wu, Q., Wu, Q., Zhao, S., Wei, M., & Wang, F. L. (2015). Knowledge Communication Analysis Based on Clustering and Association Rules Mining. In A. Liu, Y. Ishikawa, T. Qian, S. Nutanong, & M. A. Cheema (Eds.), DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, DASFAA 2015 Vol. 9052 (pp. 66-75). VIETNAM, Hanoi: SPRINGER-VERLAG BERLIN.
DOI
2014 Wu, Q., Cai, H., & Hall, P. (2014). Learning graphs to model visual objects across different depictive styles. In D. Fleet, T. Pajdia, B. Schiele, & T. Tuytelaars (Eds.), Proceedings of the 13th European Conference on Computer Vision Vol. VII (pp. 313-328). Zurich, Switzerland: Springer.
DOI Scopus17 WoS10
2013 Wu, Q., & Hall, P. (2013). Modelling visual objects Invariant to depictive style. In T. Burghardt, D. Damen, W. Mayol-Cuevas, & M. Mirmehdi (Eds.), Proceedings of the British Machine Vision Conference (pp. 23.1-23.12). Bristol, UK: BMVA Press.
DOI Scopus5
2013 Hao, Y., Wu, Q., & Liu, B. (2013). Literature Review on the Impact of Income Distribution Gap on Consumer Demand. In G. Lee (Ed.), PSYCHOLOGY, MANAGEMENT AND SOCIAL SCIENCE Vol. 18 (pp. 65-70). PEOPLES R CHINA, Shenzhen: INFORMATION ENGINEERING RESEARCH INST, USA.
2012 Wu, Q., & Hall, P. (2012). Prime shapes in natural images. In R. Bowden, J. Collomosse, & K. Mikolajcczk (Eds.), Proceedings of the British Machine Vision Conference (pp. 45-1-45-12). Surrey, UK: BMVA Press.
DOI Scopus4 WoS2
2012 Wu, Q., Fu, X., & Shen, X. (2012). Automatic micro-expression analysis. In INTERNATIONAL JOURNAL OF PSYCHOLOGY Vol. 47 (pp. 144-145). JOHN WILEY & SONS LTD.
2012 Wu, Q., Zhang, W., & Kumar, B. V. K. V. (2012). RAINDROP DETECTION AND REMOVAL USING SALIENT VISUAL FEATURES. In 2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012) (pp. 941-944). FL, Lake Buena Vista: IEEE.
WoS19
2012 Wu, Q., Zhang, W., & Kumar, B. V. K. V. (2012). Strong Shadow Removal Via Patch-Based Shadow Edge Detection. In 2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (pp. 2177-2182). MN, St Paul: IEEE.
WoS36
2011 Hoffman, J., Wang, L. -M., Wu, Q., & Morton, K. (2011). Uptake of 2-deoxyglucose analogs by thrombotically activated cells. In JOURNAL OF NUCLEAR MEDICINE Vol. 52 (pp. 2 pages). SOC NUCLEAR MEDICINE INC.
2011 Wu, Q., Zhang, W., & Kumar, B. V. K. V. (2011). Example-based Clear Path Detection Assisted by Vanishing Point Estimation. In 2011 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (pp. 1615-1620). PEOPLES R CHINA, Shanghai: IEEE.
WoS8
2010 Jiang, X., Wu, Q., Peng, T., & Sweeney, L. (2010). STRUCTURE PRESERVING SEMANTIC COHERENT OBJECT SEGMENTATION. In 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (pp. 2209-2212). PEOPLES R CHINA, Hong Kong: IEEE.
DOI WoS2
2010 Wu, Q., Zhang, W., Chen, T., & Kumar, B. V. K. V. (2010). PRIOR-BASED VANISHING POINT ESTIMATION THROUGH GLOBAL PERSPECTIVE STRUCTURE MATCHING. In 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (pp. 2110-2113). TX, Dallas: IEEE.
DOI WoS7
2010 Wu, Q., Zhang, W., Chen, T., & Kumar, B. V. K. V. (2010). CAMERA-BASED CLEAR PATH DETECTION. In 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (pp. 1874-1877). TX, Dallas: IEEE.
DOI WoS2
2008 Liu, Y., Yin, Y., Teng, Z., Wu, Q., & Li, G. (2008). Activities prediction of drug molecules by using the optimal ensemble based on uniform design. In D. S. Huang, D. C. Wunsch, D. S. Levine, & K. H. Jo (Eds.), ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS Vol. 5226 (pp. 106-+). PEOPLES R CHINA, Shanghai: SPRINGER-VERLAG BERLIN.
WoS1
2007 Wu, Q., Shao, T. -C., & Chen, T. (2007). Robust self-calibration from single image using RANSAC. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, N. Paragios, S. M. Tanveer, . . . T. Malzbender (Eds.), ADVANCES IN VISUAL COMPUTING, PT I Vol. 4841 (pp. 230-+). NV, Lake Tahoe: SPRINGER-VERLAG BERLIN.
WoS5
2007 Wu, Q., Huang, C., Wang, S. -Y., Chiu, W. -C., & Chen, T. (2007). <bold>ROBUST PARKING SPACE DETECTION CONSIDERING INTER-SPACE CORRELATION</bold>. In 2007 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-5 (pp. 659-+). PEOPLES R CHINA, Beijing: IEEE.
WoS77
2006 Wu, Q., Song, M., Bu, J., & Chen, C. (2006). EigenExpress approach in recognition of facial expression using GPU. In T. S. Huang, N. Sebe, M. S. Lew, V. Pavlovic, M. Kolsch, A. Galata, & B. Kisacanin (Eds.), COMPUTER VISION IN HUMAN-COMPUTER INTERACTION Vol. 3979 (pp. 12-20). AUSTRIA, Graz: SPRINGER-VERLAG BERLIN.
WoS1

Year Citation
2024 Li, Y., Yu, J., Gai, K., Liu, B., Xiong, G., & Wu, Q. (2024). T2VIndexer: A Generative Video Indexer for Efficient Text-Video Retrieval.
DOI Scopus7

Year Citation
2024 Phan, V. M. H., Xie, Y., Qi, Y., Liu, L., Liu, L., Zhang, B., . . . Verjans, J. W. (2024). Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework..
2024 Zhou, G., Hong, Y., Wang, Z., Wang, X. E., & Wu, Q. (2024). NavGPT-2: Unleashing Navigational Reasoning Capability for Large
Vision-Language Models.
2024 Chen, Q., Zhang, B., Wang, G., & Wu, Q. (2024). Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with
Situation Puzzles.
2024 Chen, Q., Zhao, R., Wang, S., Phan, V. M. H., Hengel, A. V. D., Verjans, J., . . . Wu, Q. (2024). A Survey of Medical Vision-and-Language Applications and Their
Techniques.
2024 Zhou, G., Hong, Y., Wang, Z., Zhao, C., Bansal, M., & Wu, Q. (2024). SAME: Learning Generic Language-Guided Visual Navigation with
State-Adaptive Mixture of Experts.
2024 Wei, Y., Fu, S., Jiang, W., Zhang, Z., Zeng, Z., Wu, Q., . . . Zhang, Y. (2024). GITA: Graph to Visual and Textual Integration for Vision-Language Graph
Reasoning.
2023 Chen, Q., Pitawela, D., Zhao, C., Zhou, G., Chen, H. -T., & Wu, Q. (2023). WebVLN: Vision-and-Language Navigation on Websites.
2021 Moghaddam, M. K., Abbasnejad, E., Wu, Q., Shi, J., & Hengel, A. V. D. (2021). Learning for Visual Navigation by Imagining the Success.
2021 Chen, Q., Li, Y., Qi, Y., Zhou, J., Tan, M., & Wu, Q. (2021). V2C: Visual Voice Cloning.
2019 Parvaneh, A., Abbasnejad, E., Wu, Q., & Shi, J. (2019). Show, Price and Negotiate: A Hierarchical Attention Recurrent Visual Negotiator..
  • MyIP-7370, CERA grants, Anton van den Hengel, Anthony Dick, Qi Wu, Answer Me Why:Explainability is Critical if We are to Trust Automated Decision Making, 98,000 AUD

  • MyIP-7370, CERA grants, Anton van den Hengel, Anthony Dick, Qi Wu, Robust long-term Autonomous Navigation, 98,000 AUD

  • Facebook’s Research and Academic Relations Program, Peter Anderson, Qi Wu, Damien Teney, Niko Sunderhauf, Stephen Gould, Anton van den Hengel, Treasure Hunt: Natural Language N

  • Computer Vision

  • Machine Learning

  • Algorithms and Data Structure Analysis

  • Research Methods

  • Advanced Topics in Computer Science

Date Role Research Topic Program Degree Type Student Load Student Name
2026 Principal Supervisor Agentic Vision-Language-Action Models for Sequential Financial Decision-Making Doctor of Philosophy Doctorate Full Time Mr Wenjun Peng
2025 Co-Supervisor Multi-agent Vision-and-Language Navigation Base on Large Foundation Models Doctor of Philosophy Doctorate Full Time Mr Qunchao Jin
2025 Principal Supervisor CNN-TTT Fusion: Advancing 3D Medical Image Segmentation Master of Philosophy Master Full Time Mr Yuming Chen
2025 Principal Supervisor Foundation Models for Embodied Navigation Doctor of Philosophy Doctorate Full Time Mr Xiangyu Shi
2025 Principal Supervisor Towards Building Real-World Embodied Vision Language Navigation Agents Doctor of Philosophy Doctorate Full Time Mr Xunyi Zhao
2025 Principal Supervisor Embodied Vision-and-Language Navigation: Deploy Vision-and-Language Navigation in Real-World via Knowledge Distillation from Large Foundation Models Doctor of Philosophy Doctorate Full Time Mr Zerui Li
2024 Principal Supervisor Vision-language Pre-training in Medical Domain Doctor of Philosophy Doctorate Full Time Ms Sinuo Wang
2024 Principal Supervisor Direct Fitting 3D Generative Models Using Volume Rendering Master of Philosophy Master Full Time Mr Jian Zhou
2024 Principal Supervisor Parameter-efficient Tuning Large Vision-Language Models Doctor of Philosophy Doctorate Full Time Mr Shuai Fu
2023 Principal Supervisor Vision-and-Language in the Wild Doctor of Philosophy Doctorate Full Time Mr Zheng Yu
2023 Principal Supervisor Efficient Video Foundation Model Doctor of Philosophy Doctorate Full Time Mr Feng Chen
2022 Principal Supervisor Vision-and-Language Methods in Clinical Applications Doctor of Philosophy Doctorate Full Time Mr Chaohan Wang
2022 Co-Supervisor MUDE: Mixed-reality Unified Development Environment for Context-Aware AI Automation Tasks Doctor of Philosophy Doctorate Full Time Miss Xiaoyan Wei
2022 Principal Supervisor Spatiotemporal Multimodal Learning in Embodied AI Doctor of Philosophy Doctorate Full Time Mr Gengze Zhou

Date Role Research Topic Program Degree Type Student Load Student Name
2022 - 2023 Principal Supervisor Vision-and-Language Navigation in the Real-World Master of Philosophy Master Full Time Mr Chongyang Zhao
2022 - 2026 Co-Supervisor Designing human-centered context-aware systems: from spatial computing to generative AI Doctor of Philosophy Doctorate Full Time Miss Xiaoyan Wei
2022 - 2026 Principal Supervisor Sequential representation learning in medical imaging: advancing radiology report generation and volumetric image segmentation Doctor of Philosophy Doctorate Full Time Mr Chaohan Wang
2021 - 2024 Principal Supervisor Multi-modal Generation, Synergy and Evaluation Doctor of Philosophy Doctorate Full Time Mr Qi Chen
2021 - 2025 Co-Supervisor Finding the Optimal Path in Real-World Environments Using Natural Language Instructions Doctor of Philosophy Doctorate Full Time Mr Bahram Mohammadi
2020 - 2023 Principal Supervisor General Vision and Language Methods in Real Applications: A Focus on Vision-and-Language Navigation Doctor of Philosophy Doctorate Full Time Miss Yanyuan Qiao
2020 - 2024 Principal Supervisor Language-based Visual Understanding Doctor of Philosophy Doctorate Full Time Mr Chaorui Deng
2019 - 2022 Co-Supervisor Towards Optimistic, Imaginative, and Harmonious Reinforcement Learning in
Single-Agent and Multi-Agent Environments
Doctor of Philosophy Doctorate Full Time Mr Mahdi Kazemi Moghaddam
2018 - 2021 Co-Supervisor Fully Convolutional Instance-level Visual Recognition Doctor of Philosophy Doctorate Full Time Mr Zhi Tian
2018 - 2022 Co-Supervisor 3D Scene Reconstruction from A Monocular Image Doctor of Philosophy Doctorate Full Time Mr Wei Yin
2018 - 2021 Co-Supervisor Multi-modality Data Analysis Using Deep Reinforcement Learning Doctor of Philosophy Doctorate Full Time Mr Hu Wang
2018 - 2022 Co-Supervisor Efficient Deep Networks for Image Matting Doctor of Philosophy Doctorate Full Time Ms Yutong Dai
2017 - 2018 Co-Supervisor Text Detection and Recognition in Natural Scene Images Doctor of Philosophy Doctorate Full Time Mrs Hui Li

Connect With Me

External Profiles

Other Links