Qi Wu

Associate Professor Qi Wu

Associate Prof/Reader

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and 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.

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

  • Education
    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

  • Research Interests
    Computer Vision Knowledge Representation and Machine Learning

  • Journals
    Year Citation
    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
    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 Scopus1
    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.
    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.. CoRR, abs/2411.12195.
    2024 Stephens, A. N., Hobbs, S. J., Kang, S. W., Oehler, M. K., Jobling, T. W., & Allman, R. (2024). ReClassification of Patients with Ambiguous CA125 for Optimised Pre-Surgical Triage. Diagnostics, 14(7), 11114-11124.
    DOI Scopus2 Europe PMC1
    2024 Gillani, S. E., Al-Abdeli, Y. M., & Tian, Z. F. (2024). Influence of side dilution jets on swirling and non-swirling pulverised biomass turbulent annular flows. Powder Technology, 438, 119683.
    DOI Scopus1
    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. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, abs/2403.07636, 11492-11501.
    DOI Scopus4
    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 Scopus3
    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 Scopus3 Europe PMC3
    2024 Jevric, M., Klepp, J., Puschnig, J., Lamb, O., Sumby, C. J., & Greatrex, B. W. (2024). Skeletal rearrangement of 6,8-dioxabicyclo[3.2.1]octan-4-ols promoted by thionyl chloride or Appel conditions.. Beilstein J Org Chem, 20(20), 823-829.
    DOI Scopus3 Europe PMC1
    2024 Cabada, A., & Murray, P. (2024). The role of academics as refugee policy advocates: lessons from Australia. Policy Studies, 1-25.
    DOI Scopus2
    2024 Hermoza, R., Nascimento, J. C., & Carneiro, G. (2024). Weakly-supervised preclinical tumor localization associated with survival prediction from lung cancer screening Chest X-ray images. Computerized Medical Imaging and Graphics, 115, 102395-1-102395-10.
    DOI Scopus1
    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 Scopus4
    2024 Cardoso, P., Fukushima, C. S., Maxhelaku, A., Poczai, P., Porto, M., Puksas, A., . . . Veríssimo, D. (2024). Reform wildlife trade in the European Union. Science, 383(6687), 1066.
    DOI Scopus3 Europe PMC1
    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 Scopus9
    2024 Panganiban, H. P., Nguyen, C. D., Abdelhamid, Y. A., Ankravs, M., Karahalios, E., MacIsaac, C., . . . Deane, A. M. (2024). Feasibility of Embedding a Randomised Clinical Trial (RCT) into an Electronic Medical Record (EMR) for Patients Admitted to an Intensive Care Unit (ICU). Studies in Health Technology and Informatics, 310, 1420-1421.
    DOI
    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 Scopus11 Europe PMC1
    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 Scopus4
    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 Scopus77 WoS1 Europe PMC13
    2023 Zhou, G., Hong, Y., & Wu, Q. (2023). NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large
    Language Models.
    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 Scopus37
    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 Scopus16 Europe PMC1
    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 Scopus5
    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 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 Scopus6
    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 Scopus35 WoS1 Europe PMC4
    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
    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 WoS4
    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 WoS4
    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 WoS4
    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 WoS9
    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 Scopus10 WoS3
    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 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 Scopus13 WoS1 Europe PMC1
    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 Scopus30 WoS9
    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 Scopus12 WoS3 Europe PMC1
    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 Scopus2
    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 Scopus32 WoS7
    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 Scopus29 WoS9 Europe PMC2
    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, 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 Scopus43 WoS18
    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 Scopus13 WoS2
    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 Scopus12 WoS2
    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 Scopus32 Europe PMC1
    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 Scopus27 WoS9
    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 Scopus61 WoS11
    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 Scopus86 WoS47
    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 Scopus35 WoS15 Europe PMC3
    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 WoS10
    2020 Triplett, J. D., Khor, T. S., & Kermode, A. G. (2020). Recurrent upper limb neuropathies secondary to an epithelioid haemangioendothelioma – A rare mimic of nerve tumours. Journal of Clinical Neuroscience, 73, 326-328.
    DOI Scopus2 Europe PMC3
    2019 Li, T., Shi, P., Zhang, R., Liu, H., Cheng, X. -B., & Zhang, Q. (2019). Dendrite-free sandwiched ultrathin lithium metal anode with even lithium plating and stripping behavior. NANO RESEARCH, 12(9), 2224-2229.
    DOI WoS36
    2019 Ding, L. -H., Sun, B., & Shi, P. (2019). Empirical study of knowledge network based on complex network theory. ACTA PHYSICA SINICA, 68(12), 15 pages.
    DOI WoS2
    2019 Liu, W., Li, Y., & Wu, Q. (2019). An Attribute-Based High-Level Image Representation for Scene Classification. IEEE Access, 7, 4629-4640.
    DOI Scopus4 WoS2
    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 Scopus63 WoS44
    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 Scopus6 WoS5
    2019 Zhang, J., Xie, Y., Wu, Q., & Xia, Y. (2019). Medical image classification using synergic deep learning. Medical Image Analysis, 54, 10-19.
    DOI Scopus320 WoS175 Europe PMC69
    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 Scopus339 WoS196 Europe PMC15
    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 Scopus170 WoS46
    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 WoS115
    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 WoS123
    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 WoS41
    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 WoS68
    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 WoS59
    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 WoS187
    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 WoS67
    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 WoS49
    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 WoS85
    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 WoS15
    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 WoS359
    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 WoS19
    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 WoS29
    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 WoS243
    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 WoS160
    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 WoS11
    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 WoS3
    2017 Teney, D., Wu, Q., & Van Den Hengel, A. (2017). Visual Question Answering: a tutorial. IEEE Signal Processing Magazine, 34(6), 63-75.
    DOI Scopus33 WoS17
    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 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 Scopus359 WoS173 Europe PMC14
    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 Scopus290 WoS156
    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 WoS6
    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 WoS26
    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 WoS4
    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 WoS3
    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 WoS13
    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 WoS12
    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 WoS16
    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 WoS40
    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 WoS2
    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 WoS11
    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 WoS31
    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 WoS113
    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 Scopus34
    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
    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 WoS13
    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 WoS15
    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 WoS9

  • Books
    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

  • Book Chapters
    Year Citation
    2023 Neshat, M., Sergiienko, N. Y., da Silva, L. S. P., Amini, E., Nasiri, M., & Mirjalili, S. (2023). Adaptive bi-level whale optimization algorithm for maximizing the power output of hybrid wave-wind energy site. In M. Seyedali (Ed.), Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications (pp. 291-308). Elsevier.
    DOI
    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 Scopus7
    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 Scopus1
    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 WoS1

  • Conference Papers
    Year Citation
    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 Scopus2
    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 Scopus2
    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
    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). Association for the Advancement of Artificial Intelligence (AAAI).
    DOI
    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 Scopus1
    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. Vancouver, Canada: Neural information processing systems foundation.
    Scopus1
    2024 Chen, Q., Zhang, B., Wang, G., & Wu, Q. (2024). Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles. In Advances in Neural Information Processing Systems Vol. 37.
    Scopus1
    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. Vancouver, Canada: Neural information processing systems foundation.
    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 Scopus1
    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.
    Scopus1
    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
    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
    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 (pp. 7639-7648). Melbourne VIC Australia: ACM.
    DOI
    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). ACM.
    DOI
    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 IJCAI International Joint Conference on Artificial Intelligence (pp. 839-847). Jeju: International Joint Conferences on Artificial Intelligence.
    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 Scopus1
    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 Scopus7
    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 Scopus2
    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 CVPR (pp. 11492-11501). Seattle, WA, USA: IEEE.
    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 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 Scopus42
    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 Scopus16
    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 Scopus26
    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 Scopus8
    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 Scopus3
    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 Scopus7
    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 Scopus3
    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 Scopus4
    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 Scopus11
    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 Scopus19
    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 Scopus4
    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
    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 Scopus18
    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 Scopus23
    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 Scopus6
    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 Scopus8
    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.
    Scopus4
    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.
    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).
    Scopus4
    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.
    Scopus15
    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).
    Scopus3
    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 Scopus8
    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 Scopus16
    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 Scopus3
    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 Scopus7
    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.
    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 Scopus8
    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 Scopus9 WoS1
    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 Scopus59 WoS2
    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 Scopus56 WoS1
    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 Scopus58 WoS11
    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 Scopus20 WoS1
    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 Scopus20 WoS2
    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 Scopus27 WoS1
    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 Scopus42 WoS4
    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.
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    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
    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
    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 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 Scopus2 WoS3
    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.
    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 WoS5
    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 Scopus4
    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., 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., & 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
    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.
    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
    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

  • Report for External Bodies
    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

  • Preprint
    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 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.
    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.
    2023 Chen, Q., Pitawela, D., Zhao, C., Zhou, G., Chen, H. -T., & Wu, Q. (2023). WebVLN: Vision-and-Language Navigation on Websites.
    2021 Chen, Q., Li, Y., Qi, Y., Zhou, J., Tan, M., & Wu, Q. (2021). V2C: Visual Voice Cloning.
    2021 Moghaddam, M. K., Abbasnejad, E., Wu, Q., Shi, J., & Hengel, A. V. D. (2021). Learning for Visual Navigation by Imagining the Success.
    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

  • Current Higher Degree by Research Supervision (University of Adelaide)
    Date Role Research Topic Program Degree Type Student Load Student Name
    2025 Principal Supervisor CNN-TTT Fusion: Advancing 3D Medical Image Segmentation Master of Philosophy Master Full Time Mr Yuming Chen
    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
    2021 Co-Supervisor Recognizing Individual and Collective Activity Using Videos Doctor of Philosophy Doctorate Full Time Mr Bahram Mohammadi

  • Past Higher Degree by Research Supervision (University of Adelaide)
    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
    2021 - 2024 Principal Supervisor Multi-modal Generation, Synergy and Evaluation Doctor of Philosophy Doctorate Full Time Mr Qi Chen
    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
  • Position: Associate Prof/Reader
  • Phone: 83132134
  • Email: qi.wu01@adelaide.edu.au
  • Campus: North Terrace
  • Building: Australian Institute for Machine Learning, floor 1
  • Org Unit: Computer Science
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