APrf Lingqiao Liu
Associate Professor
School of Computer Science and Information Technology
College of Engineering and Information Technology
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
Dr. Lingqiao Liu is an Associate Professor and was an ARC DECRA Fellow in School of Computer Science, University of Adelaide, Australia. He obtained his P.h.D. from the Australian National University in 2014. He is a recipient of ARC DECRA (Discovery Early Career Researcher Award) award in 2016 and the University of Adelaide Research Fellowship award in 2016. He has a broad research interest in machine learning, computer vision and natural language processing. More information about me can be found in my home page
| Year | Citation |
|---|---|
| 2025 | Li, Y., Pang, G., Suo, W., Jing, C., Xi, Y., Liu, L., . . . Wang, P. (2025). CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning. IEEE Transactions on Neural Networks and Learning Systems, 36(8), 1-15. Scopus1 |
| 2025 | Shu, Y., Liu, Y., Cao, X., Chen, Q., Zhang, B., Zhou, Z., . . . Liu, L. (2025). Seeing Beyond Labels: Source-Free Domain Adaptation via Hypothesis Consolidation of Prediction Rationale. Transactions on Machine Learning Research, 2025-June. |
| 2025 | Jiao, B., Liu, L., Gao, L., Oliver Wu, D., Lin, G., Wang, P., & Zhang, Y. (2025). Generalizable Person Re-Identification From a 3D Perspective: Addressing Unpredictable Viewpoint Changes. IEEE Transactions on Information Forensics and Security, 20, 6576-6591. Scopus2 WoS2 |
| 2025 | Zhang, Y., Chang, R., Mao, W., Zuo, J., Zhanga, W. E., & Liu, L. (2025). Low-Cost iOS-Based Automated Detection of Under-Construction Interior Drywalls: An Exploratory Study. Journal of Construction Engineering and Management, 151(10), 18 pages. |
| 2025 | Wang, Q., Liu, L., Jing, C., Wang, P., Zhang, Y., & Shen, C. (2025). Learning Dual-Stream Conditional Concepts in Compositional Zero-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(11), 1-18. |
| 2025 | Li, Y., Liu, Y., Wang, Z., Liang, X., Liu, L., Wang, L., & Zhou, L. (2025). S-RRG-Bench: Structured radiology report generation with fine-grained evaluation framework. Meta Radiology, 3(4), 100171. |
| 2025 | Sun, L., Xia, J., & Liu, L. (2025). Towards High-Quality Novel View Synthesis from Nonuniformly Distributed Input Views. IEEE Transactions on Visualization and Computer Graphics, 1-12. |
| 2024 | Lin, W. D., Deng, Y. Y., Gao, Y., Wang, N., Liu, L. Q., Zhang, L., & Wang, P. (2024). CAT: A Simple yet Effective Cross-Attention Transformer for One-Shot Object Detection. Journal of Computer Science and Technology, 39(2), 460-471. |
| 2024 | Zhang, Y., Chang, R., Mao, W., Zuo, J., Liu, L., & Han, Y. (2024). Challenges of Automating Interior Construction Progress Monitoring. Journal of Construction Engineering and Management, 150(9), 16 pages. Scopus2 WoS1 |
| 2024 | Liu, Y., Li, Y., Wang, Z., Liang, X., Liu, L., Wang, L., . . . Zhou, L. (2024). A systematic evaluation of GPT-4V's multimodal capability for chest X-ray image analysis. Meta-Radiology, 2(4), 100099. Scopus10 WoS10 |
| 2024 | Xie, Y., Zhang, J., Liu, L., Wang, H., Ye, Y., Johan, V., & Xia, Y. (2024). ReFs: A hybrid pre-training paradigm for 3D medical image segmentation. Medical Image Analysis, 91, 103023. Scopus9 WoS8 Europe PMC2 |
| 2024 | Chen, L., Zhang, Y., Song, Y., Zhang, Z., & Liu, L. (2024). A Causal Inspired Early-Branching Structure for Domain Generalization. International Journal of Computer Vision, 132(9), 4052-4072. Scopus6 WoS5 |
| 2023 | Wu, L. Y., Liu, L., Wang, Y., Zhang, Z., Boussaid, F., Bennamoun, M., & Xie, X. (2023). Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. IEEE Transactions on Image Processing, 32, 4800-4811. Scopus31 WoS27 Europe PMC3 |
| 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 | Ding, Y., Liu, L., Tian, C., Zhang, X., & Tian, X. (2023). Balanced image captioning with task-aware decoupled learning and fusion. Neurocomputing, 538, 12 pages. Scopus3 |
| 2023 | Wang, Z., Liu, L., Wang, L., & Zhou, L. (2023). R2GenGPT: Radiology Report Generation with frozen LLMs. Meta-Radiology, 1(3), 7 pages. Scopus94 WoS56 |
| 2022 | Liu, D., Wu, L., Zheng, F., Liu, L., & Wang, M. (2022). Verbal-Person Nets: Pose-Guided Multi-Granularity Language-to-Person Generation. IEEE Transactions on Neural Networks and Learning Systems, PP(11), 1-13. Scopus28 WoS29 Europe PMC4 |
| 2022 | Wang, X., Liu, L., & Shi, J. Q. (2022). Computationally Efficient Dilated Convolutional Model for Melody Extraction. IEEE Signal Processing Letters, 29, 1599-1603. Scopus5 WoS3 |
| 2022 | Shu, Y., Li, Q., Liu, L., & Xu, G. (2022). Privileged multi-task learning for attribute-aware aesthetic assessment. Pattern Recognition, 132, 1-11. Scopus12 WoS10 |
| 2022 | Yang, L., Wang, Y., Liu, L., Wang, P., & Zhang, Y. (2022). Center Prediction Loss for Re-identification. Pattern Recognition, 132, 1-11. Scopus5 WoS5 |
| 2022 | Wei, X. S., Cui, Q., Yang, L., Wang, P., Liu, L., & Yang, J. (2022). RPC: a large-scale and fine-grained retail product checkout dataset. Science China Information Sciences, 65(9), 2 pages. Scopus25 WoS19 |
| 2022 | Zhou, Y., Song, X., Zhang, Y., Liu, F., Zhu, C., & Liu, L. (2022). Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems, 33(6), 2454-2465. Scopus123 Europe PMC19 |
| 2022 | Zhuang, B., Shen, C., Tan, M., Chen, P., Liu, L., & Reid, I. (2022). Structured Binary Neural Networks for Image Recognition. INTERNATIONAL JOURNAL OF COMPUTER VISION, 130(9), 22 pages. Scopus10 WoS8 |
| 2021 | Zhuang, B., Tan, M., Liu, J., Liu, L., Reid, I., & Shen, C. (2021). Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10), 6140-6152. Scopus27 WoS23 Europe PMC5 |
| 2021 | Peng, D., Lei, Y., Liu, L., Zhang, P., & Liu, J. (2021). Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation. IEEE Transactions on Image Processing, 30, 6594-6608. Scopus87 WoS74 Europe PMC6 |
| 2021 | Su, H., Wang, P., Liu, L., Li, H., Li, Z., & Zhang, Y. (2021). Where to Look and How to Describe: Fashion Image Retrieval with an Attentional Heterogeneous Bilinear Network. IEEE Transactions on Circuits and Systems for Video Technology, 31(8), 3254-3265. Scopus25 WoS24 |
| 2021 | Lu, W., Gong, D., Fu, K., Sun, X., Diao, W., & Liu, L. (2021). Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations. Pattern Recognition, 117, 107924. Scopus10 WoS9 |
| 2021 | Zhang, J., Liu, L., Wang, P., & Zhang, J. (2021). Exploring the auxiliary learning for long-tailed visual recognition. Neurocomputing, 449, 303-314. Scopus9 WoS9 |
| 2021 | Kang, L., Liu, J., Liu, L., Zhou, Z., & Ye, D. (2021). Semi-supervised emotion recognition in textual conversation via a context-augmented auxiliary training task. Information Processing and Management, 58(6), 1-13. Scopus11 WoS10 |
| 2021 | Shu, Y., Li, Q., Liu, L., & Xu, G. (2021). Semi-supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment. IEEE Transactions on Multimedia, 26, 1-11. Scopus11 WoS10 |
| 2021 | Lei, Y., Liu, Y., Zhang, P., & Liu, L. (2021). Towards using count-level weak supervision for crowd counting. Pattern Recognition, 109, 1-13. Scopus96 WoS84 |
| 2020 | Zhang, L., Wang, P., Liu, L., Shen, C., Wei, W., Zhang, Y., & van den Hengel, A. (2020). Towards Effective Deep Embedding for Zero-Shot Learning. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 30(9), 2843-2852. Scopus74 WoS70 |
| 2020 | Abbasnejad, M. E., Shi, Q., van den Hengel, A., & Liu, L. (2020). GADE: A Generative Adversarial Approach to Density Estimation and its Applications. International Journal of Computer Vision, 128(10-11), 2731-2743. Scopus6 WoS6 |
| 2020 | Jiang, S., Lu, X., Lei, Y., & Liu, L. (2020). Mask-Aware Networks for Crowd Counting. IEEE Transactions on Circuits and Systems for Video Technology, 30(9), 3119-3129. Scopus36 |
| 2020 | Gou, Y., Lei, Y., Liu, L., Zhang, P., & Peng, X. (2020). A Dynamic Parameter Enhanced Network for distant supervised relation extraction. Knowledge-Based Systems, 197, 1-12. Scopus17 |
| 2020 | Chen, Y., Shen, C., Chen, H., Wei, X. S., Liu, L., & Yang, J. (2020). Adversarial learning of structure-aware fully convolutional networks for landmark localization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(7), 1654-1669. Scopus22 WoS15 Europe PMC3 |
| 2020 | Zhang, L., Wang, P., Shen, C., Liu, L., Wei, W., Zhang, Y., & van den Hengel, A. (2020). Adaptive importance learning for improving lightweight image super-resolution network. International Journal of Computer Vision, 128(2), 479-499. Scopus28 WoS33 |
| 2020 | Zhuang, B., Liu, L., Tan, M., Shen, C., & Reid, I. (2020). Training quantized neural networks with a full-precision auxiliary module. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1485-1494. Scopus61 WoS51 |
| 2019 | Teney, D., Wang, P., Cao, J., Liu, L., Shen, C., & Hengel, A. V. D. (2019). V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices.. CoRR, abs/1907.12271, 12071-12078. WoS12 |
| 2019 | Wei, X. S., Wang, P., Liu, L., Shen, C., & Wu, J. (2019). Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories with Few Examples. IEEE Transactions on Image Processing, 28(12), 6116-6125. Scopus141 WoS113 Europe PMC14 |
| 2019 | Wang, P., Liu, L., Shen, C., & Shen, H. T. (2019). Order-aware convolutional pooling for video based action recognition. Pattern Recognition, 91, 357-365. Scopus25 WoS22 |
| 2019 | Lei, Y., Zhou, Z., Zhang, P., Guo, Y., Ma, Z., & Liu, L. (2019). Deep point-to-subspace metric learning for sketch-based 3D shape retrieval. Pattern Recognition, 96, 106981-1-106981-13. Scopus45 WoS43 |
| 2018 | Chen, Z., Liu, L., Sa, I., Ge, Z., & Chli, M. (2018). Learning Context Flexible Attention Model for Long-Term Visual Place Recognition. IEEE Robotics and Automation Letters, 3(4), 4015-4022. Scopus100 |
| 2017 | Qiao, R., Liu, L., Shen, C., & Hengel, A. V. D. (2017). Visually Aligned Word Embeddings for Improving Zero-shot Learning. |
| 2017 | Li, Y., Liu, L., Shen, C., & Hengel, A. (2017). Mining Mid-level Visual Patterns with Deep CNN Activations. International Journal of Computer Vision, 121(3), 344-364. Scopus39 WoS33 |
| 2017 | Liu, L., Wang, P., Shen, C., Wang, L., Van Den Hengel, A., Wang, C., & Shen, H. T. (2017). Compositional model based Fisher vector coding for image classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(12), 2335-2348. Scopus56 WoS44 Europe PMC7 |
| 2017 | Wang, L., Liu, L., & Zhou, L. (2017). A graph-embedding approach to hierarchical visual word mergence. IEEE Transactions on Neural Networks and Learning Systems, 28(2), 308-320. Scopus5 WoS6 Europe PMC4 |
| 2017 | Qiao, R., Liu, L., Shen, C., & van den Hengel, A. (2017). Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. Pattern Recognition, 66, 202-212. Scopus52 WoS45 |
| 2016 | Liu, L., Shen, C., & van den Hengel, A. (2016). Cross-convolutional-layer pooling for image recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(11), 2305-2313. Scopus75 WoS66 Europe PMC10 |
| 2016 | Zhou, L., Wang, L., Liu, L., Ogunbona, P., & Shen, D. (2016). Learning discriminative Bayesian networks from high-dimensional continuous neuroimaging data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(11), 2269-2283. Scopus28 WoS23 |
| 2016 | Wang, P., Cao, Y., Shen, C., Liu, L., & Shen, H. T. (2016). Temporal pyramid pooling based convolutional neural network for action recognition. IEEE Transactions on Circuits and Systems for Video Technology, 27(99), 1-8. Scopus119 WoS93 |
| 2016 | Liu, L., Wang, L., & Shen, C. (2016). A generalized probabilistic framework for compact codebook creation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(2), 224-237. Scopus3 WoS2 |
| 2015 | Wang, C., Wang, L., & Liu, L. (2015). Density maximization for improving graph matching with its applications. IEEE Transactions on Image Processing, 24(7), 2110-2123. Scopus12 WoS10 Europe PMC1 |
| 2014 | Wang, L., Zhou, L., Shen, C., Liu, L., & Liu, H. (2014). A hierarchical word-merging algorithm with class separability measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(3), 417-435. Scopus13 WoS9 Europe PMC1 |
| 2013 | Liu, X., Yin, J., Wang, L., Liu, L., Liu, J., Hou, C., & Zhang, J. (2013). An adaptive approach to learning optimal neighborhood kernels. IEEE Transactions on Cybernetics, 43(1), 371-384. Scopus23 |
| 2012 | Liu, X., Wang, L., Yin, J., & Liu, L. (2012). Incorporation of radius-info can be simple with SimpleMKL. Neurocomputing, 89, 30-38. Scopus20 |
| 2008 | Liu, L. Q., Fu, Z. Z., Qian, W., Deng, Z. Q., & Xie, W. (2008). Small target detection based on small target isolation degree. Guangdian Gongcheng Opto Electronic Engineering, 35(12), 13-22. |
| 2008 | Qian, W., Fu, Z. Z., Liu, L. Q., Deng, Z. Q., & Xie, W. (2008). Voting-strategy-based approach to image registration. Guangdian Gongcheng Opto Electronic Engineering, 35(10), 86-91. Scopus3 |
| 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 Scopus1 WoS1 |
| 2014 | Wang, L., Liu, L., Zhou, L., & Chan, K. L. (2014). Application of SVMs to the bag-of-features model: A kernel perspective. In Support Vector Machines Applications (Vol. 9783319023007, pp. 155-189). Springer International Publishing. DOI Scopus3 |
| 2014 | Zhou, L., Wang, L., Liu, L., Ogunbona, P., & Shen, D. (2014). Support vector machines for neuroimage analysis: Interpretation from discrimination. In Support Vector Machines Applications (Vol. 9783319023007, pp. 191-220). Springer International Publishing. DOI Scopus12 |
| Year | Citation |
|---|---|
| 2026 | Huy, T. D., Shoby, A., Tran, S., Xie, Y., Chen, Q., Nguyen, P. L., . . . Phan, M. H. (2026). PedCLIP: A Vision-Language Model for Pediatric X-Rays with Mixture of Body Part Experts. In J. C. Gee, D. C. Alexander, J. Hong, J. E. Iglesias, C. H. Sudre, A. Venkataraman, . . . J. Park (Eds.), Lecture Notes in Computer Science Vol. 15964 LNCS (pp. 487-497). SOUTH KOREA, Daejeon: SPRINGER INTERNATIONAL PUBLISHING AG. DOI |
| 2026 | Li, J., Song, Y., & Liu, L. (2026). Predicting Generalization Error Under Graph Distribution Shifts via Parameter Discrepancy with Accumulated Gradient. In Lecture Notes in Computer Science Vol. 16370 LNAI (pp. 336-350). Springer Nature Singapore. DOI |
| 2025 | Ren, X., Zhang, Z., & Liu, L. (2025). You Can Generate It Again: Data-to-Text Generation with Verification and Correction Prompting. In Proceedings of the 7th ACM International Conference on Multimedia in Asia Mmasia 2025 (pp. 1-10). ACM. DOI |
| 2025 | Lin, Y., Xu, H., Liu, L., & Shi, J. Q. (2025). A Simple-but-Effective Baseline for Training-Free Class-Agnostic Counting. In Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025 (pp. 8155-8164). Tucson, AZ, USA: IEEE. DOI Scopus1 |
| 2025 | Xia, J., Sun, L., & Liu, L. (2025). Enhancing Close-up Novel View Synthesis via Pseudo-labeling. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 39 (pp. 8567-8574). Philadelphia, USA: Association for the Advancement of Artificial Intelligence (AAAI). DOI |
| 2025 | Xu, H. M., Chen, Q., Wang, L., & Liu, L. (2025). Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 39 (pp. 8851-8859). Philadelphia, USA: Association for the Advancement of Artificial Intelligence (AAAI). DOI |
| 2025 | Zhang, X., Gong, D., Duan, Z., Van Den Hengel, A., & Liu, L. (2025). Let Your Video Listen to Your Music! - Beat-Aligned, Content-Preserving Video Editing with Arbitrary Music. In Mm 2025 Proceedings of the 33rd ACM International Conference on Multimedia Co Located with mm 2025 (pp. 12140-12149). ACM. DOI |
| 2025 | Wang, Z., Liu, L., Weston, S. R. F., Tian, S., & Li, P. (2025). On Learning Discriminative Features from Synthesized Data for Self-supervised Fine-Grained Visual Recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15147 LNCS (pp. 101-117). Milan, Italy: Springer Nature Switzerland. DOI Scopus1 WoS1 |
| 2025 | Chapman, A., Xu, H., & Liu, L. (2025). Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization. In Proceedings - 2024 25th International Conference on Digital Image Computing: Techniques and Applications, DICTA 2024 (pp. 101-108). Perth, Australia: IEEE. DOI |
| 2025 | Zhang, W., Li, Y., Qiao, Y., Huang, S., Liu, J., Dayoub, F., . . . Liu, L. (2025). Effective Tuning Strategies for Generalist Robot Manipulation Policies. In 2025 IEEE International Conference on Robotics and Automation (ICRA) (pp. 7255-7262). Atlanta, GA, USA: IEEE. DOI |
| 2024 | Chen, L., Zhang, Y., Song, Y., Shen, Z., & Liu, L. (2024). LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization. In Advances in Neural Information Processing Systems Vol. 37. Vancouver, Canada: Neural information processing systems foundation. Scopus3 |
| 2024 | Ren, X., Wu, B., & Liu, L. (2024). I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses. In EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference (pp. 10225-10245). Hybrid, Miami: Association for Computational Linguistics (ACL). DOI Scopus2 |
| 2024 | Lin, Y., Xu, H., Liu, L., Zou, J., & Shi, J. (2024). Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation. In 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023 (pp. 32-40). Online: IEEE. DOI Scopus1 |
| 2024 | Zou, J., Guo, M., Tian, Y., Lin, Y., Cao, H., Liu, L., . . . Shi, J. Q. (2024). Semantic Role Labeling Guided Out-of-distribution Detection. In 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings (pp. 14641-14651). Online: European Language Resources Association (ELRA). Scopus2 |
| 2024 | Zhou, Z., Xu, H. -M., Shu, Y., & Liu, L. (2024). Unlocking the Potential of Pre-Trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Vol. 33 (pp. 3817-3827). Seattle, WA, USA: IEEE. DOI Scopus7 WoS6 |
| 2024 | Li, Y., Wang, Z., Liu, Y., Wang, L., Liu, L., & Zhou, L. (2024). KARGEN: Knowledge-Enhanced Automated Radiology Report Generation Using Large Language Models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15005 LNCS (pp. 382-392). Marrakesh: Springer Science and Business Media Deutschland GmbH. DOI Scopus9 WoS5 |
| 2024 | Liu, Y., Wang, Z., Li, Y., Liang, X., Liu, L., Wang, L., & Zhou, L. (2024). MRScore: Evaluating Medical Report with LLM-Based Reward System. In A. Feragen, S. Giannarou, B. Glocker, K. Lekadir, J. A. Schnabel, M. G. Linguraru, & Q. Dou (Eds.), Lecture Notes in Computer Science Vol. 15003 LNCS (pp. 283-292). Marrakesh, Morocco: SPRINGER INTERNATIONAL PUBLISHING AG. DOI |
| 2024 | Chen, L., Zhang, Y., Song, Y., Van Den Hengel, A., & Liu, L. (2024). Domain Generalization via Rationale Invariance. In Proceedings of the IEEE International Conference on Computer Vision (pp. 1751-1760). Paris, France: IEEE. DOI Scopus34 WoS26 |
| 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 Scopus14 WoS9 |
| 2023 | Jiao, B., Liu, L., Gao, L., Wu, R., Lin, G., Wang, P., & Zhang, Y. (2023). Toward Re-Identifying Any Animal. In Advances in Neural Information Processing Systems Vol. 36 (pp. 12 pages). Online: Neural information processing systems foundation. Scopus17 WoS4 |
| 2023 | Xue, X., Yu, D., Liu, L., Liu, Y., Tsutsui, S., Li, Y., . . . Shou, M. Z. (2023). Transformer-based Open-world Instance Segmentation with Cross-task Consistency Regularization. In Proceedings of the 31st ACM International Conference on Multimedia (pp. 2507-2515). Online: ACM. DOI Scopus1 |
| 2023 | Zou, J., Liu, Y., Qi, Y., Cao, H., Liu, L., & Shi, J. Q. (2023). A Generative Approach for Comprehensive Financial Event Extraction at the Document Level. In ICAIF 2023 - 4th ACM International Conference on AI in Finance (pp. 323-330). Online: Association for Computing Machinery, Inc. DOI Scopus3 WoS2 |
| 2023 | Xu, H. M., Liu, L., Chen, H., Abbasnejad, E., & Felix, R. (2023). Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models. In Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023 (pp. 3284-3294). Online: IEEE. DOI |
| 2023 | Yang, L., Song, Y., Ren, X., Lyu, C., Wang, Y., Zhuo, J., . . . Zhang, Y. (2023). Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future. In H. Bouamor, J. Pino, & K. Bali (Eds.), Emnlp 2023 2023 Conference on Empirical Methods in Natural Language Processing Proceedings (pp. 4533-4559). SINGAPORE, Singapore: ASSOC COMPUTATIONAL LINGUISTICS-ACL. DOI Scopus23 WoS9 |
| 2023 | Zhou, Z., Lei, Y., Zhang, B., Liu, L., & Liu, Y. (2023). ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2023-June (pp. 11175-11185). Vancouver, BC, Canada: IEEE. DOI Scopus207 WoS139 |
| 2023 | Chen, L., Zhang, Y., Song, Y., Shan, Y., & Liu, L. (2023). Improved Test-Time Adaptation for Domain Generalization. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2023-June (pp. 24172-24182). Online: IEEE. DOI Scopus54 WoS39 |
| 2023 | Pang, T. Y., Ding, B., Liu, L., & Sergiienko, N. (2023). SHORT-TERM SEA SURFACE ELEVATION PREDICTION USING DEEP LEARNING METHODS. In Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE Vol. 5 (pp. 10 pages). Melbourne, Australia: American Society of Mechanical Engineers. DOI Scopus1 WoS1 |
| 2023 | Shu, Y., Van Den Hengel, A., & Liu, L. (2023). Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2023-June (pp. 11392-11401). Online: IEEE. DOI Scopus20 WoS12 |
| 2023 | Wang, Q., Liu, L., Jing, C., Chen, H., Liang, G., Wang, P., & Shen, C. (2023). Learning Conditional Attributes for Compositional Zero-Shot Learning. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2023-June (pp. 11197-11206). Online: IEEE. DOI Scopus58 WoS44 |
| 2023 | Wang, Z., Liu, L., Wang, L., & Zhou, L. (2023). METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens. In Proceedings / CVPR, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2023-June (pp. 11558-11567). Vancouver, BC, Canada: IEEE. DOI Scopus134 WoS100 |
| 2023 | Luo, Q., & Liu, L. (2023). Zero-Shot Slot Filling with Slot-Prefix Prompting and Attention Relationship Descriptor. In Proceedings of the AAAI Conference on Artificial Intelligence, AAAI 2023 Vol. 37 (pp. 13344-13352). Washington, DC, USA: PKP/PS. Part of PKP Publsihing Sewrvices Nework. DOI Scopus8 |
| 2023 | Ding, Y., Tian, C., Ding, H., & Liu, L. (2023). The CLIP Model is Secretly an Image-to-Prompt Converter. In A. Oh, T. Neumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023) Vol. 36 (pp. 12 pages). Online: NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). Scopus5 |
| 2022 | Xu, H. -M., Liu, L., Bian, Q., & Yang, Z. (2022). Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 (NEURIPS 2022) (pp. 14 pages). Online: NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). WoS1 |
| 2022 | Xu, H. M., Liu, L., & Abbasnejad, E. (2022). Progressive Class Semantic Matching for Semi-supervised Text Classification. In M. Carpuat, M. -C. De Marneffe, & I. V. Meza Ruiz (Eds.), NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference (pp. 3003-3013). Seattle, Washington & Online: Association for Computational Linguistics. DOI Scopus12 |
| 2022 | Xu, H. M., Chen, H., Liu, L., & Yin, Y. (2022). Dual Decision Improves Open-Set Panoptic Segmentation. In BMVC 2022 - 33rd British Machine Vision Conference Proceedings (pp. 1-13). London, UK: The British Machine Vision Association.. Scopus4 |
| 2022 | Yang, L., Liu, H., Liu, L., Zhou, J., Zhang, L., Wang, P., & Zhang, Y. (2022). Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification. In ICMR 2022 - Proceedings of the 2022 International Conference on Multimedia Retrieval (pp. 81-89). Online: ACM. DOI Scopus4 WoS4 |
| 2022 | Xu, H. M., Liu, L., Bian, Q., & Yang, Z. (2022). Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, & A. Oh (Eds.), Advances in Neural Information Processing Systems Vol. 35 (pp. 1-18). New Orleans, LA, USA: Curran Associates. Scopus94 |
| 2022 | Chen, L., Zhang, Y., Song, Y., Liu, L., & Wang, J. (2022). Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 18689-18698). Online: IEEE. DOI Scopus245 WoS160 |
| 2022 | Jiao, B., Liu, L., Gao, L., Lin, G., Yang, L., Zhang, S., . . . Zhang, Y. (2022). Dynamically Transformed Instance Normalization Network for Generalizable Person Re-Identification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13674 LNCS (pp. 285-301). Online: Springer Nature Switzerland. DOI Scopus56 WoS50 |
| 2022 | Shu, Y., Yu, B., Xu, H., & Liu, L. (2022). Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-boosting Attention Mechanism. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13685 LNCS (pp. 449-465). Online: Springer Nature Switzerland. DOI Scopus30 WoS26 |
| 2022 | Zou, J., Cao, H., Liu, Y., Liu, L., Abbasnejad, E., & Shi, J. Q. (2022). UOA at the FinNLP-2022 ERAI Task: Leveraging the Class Label Description for Financial Opinion Mining. In FinNLP 2022 - 4th Workshop on Financial Technology and Natural Language Processing, Proceedings of the Workshop (pp. 122-126). Online: Association for Computational Linguistics (ACL). Scopus1 |
| 2022 | Zou, J., Cao, H., Liu, L., Lin, Y., Abbasnejad, E., & Shi, J. Q. (2022). Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model. In FinNLP 2022 - 4th Workshop on Financial Technology and Natural Language Processing, Proceedings of the Workshop (pp. 178-186). Online: Association for Computational Linguistics (ACL). Scopus6 |
| 2022 | Chen, L., Zhang, Y., Song, Y., Wang, J., & Liu, L. (2022). OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training. In Advances in Neural Information Processing Systems Vol. 35 (pp. 14 pages). Online: Neural information processing systems foundation. Scopus54 |
| 2021 | Luo, Q., Liu, L., Lin, Y., & Zhang, W. (2021). Don't Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification. In C. Zong, F. Xia, W. Li, & R. Navigli (Eds.), Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (pp. 2773-2782). Stroudsburg, PA, USA: Association for Computational Linguistics. DOI Scopus59 WoS41 |
| 2021 | Gou, Y., Lei, Y., Liu, L., Dai, Y., & Shen, C. (2021). Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (pp. 4300-4310). online: Association for Computational Linguistics. DOI Scopus14 |
| 2021 | Kang, L., Liu, J., Liu, L., & Ye, D. (2021). Label definitions augmented interaction model for legal charge prediction. In Proceedings of the 43rd European Conference on Information Retrieval (ECIR 2021), as published in Lecture Notes in Computer Science Vol. 12656 (pp. 270-283). Cham, Switzerland: Springer. DOI Scopus5 WoS3 |
| 2021 | Xu, H. M., Liu, L., & Gong, D. (2021). Semi-supervised Learning via Conditional Rotation Angle Estimation. In DICTA 2021 - 2021 International Conference on Digital Image Computing: Techniques and Applications (pp. 1-8). online: IEEE. DOI Scopus5 |
| 2020 | Liu, Y., Liu, L., Zhang, H., Rezatofighi, H., Yan, Q., & Reid, I. D. (2020). Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation.. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 8439-8446). Las Vegas, NV, USA (Virtual): IEEE. DOI Scopus7 WoS4 |
| 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 Scopus9 WoS4 |
| 2020 | Teney, D., Wang, P., Cao, J., Liu, L., Shen, C., & Van Den Hengel, A. (2020). V-PROM: A benchmark for visual reasoning using visual progressive matrices. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) Vol. 34 (pp. 12071-12078). Palo Alto, CA: Association for the Advancement of Artificial Intelligence. DOI Scopus22 |
| 2020 | Liu, Y., Liu, L., Wang, P., Zhang, P., & Lei, Y. (2020). Semi-supervised Crowd Counting via Self-training on Surrogate Tasks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12360 LNCS (pp. 242-259). Switzerland: Springer International Publishing. DOI Scopus58 WoS52 |
| 2020 | Wang, X., Liu, L., & Shi, Q. (2020). Harmonic Structure-Based Neural Network Model for Music Pitch Detection. In Proceedings - 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020 (pp. 87-92). online: IEEE. DOI Scopus6 |
| 2020 | Wang, X., Liu, L., & Shi, Q. (2020). Enhancing Piano Transcription by Dilated Convolution. In Proceedings - 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020 (pp. 1446-1453). online: IEEE. DOI Scopus5 |
| 2019 | Abbasnejad, M. E., Shi, Q., Van Den Hengel, A., & Liu, L. (2019). A generative adversarial density estimator. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 10774-10783). online: IEEE. DOI Scopus19 WoS11 |
| 2019 | Wang, X., Liu, L., & Shi, Q. (2019). Exploiting stereo sound channels to boost performance of neural network-based music transcription. In Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019 (pp. 1353-1358). online: IEEE. DOI Scopus3 |
| 2019 | Gong, D., Liu, L., Le, V., Saha, B., Mansour, M. R., Venkatesh, S., & Van Den Hengel, A. (2019). Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2019-October (pp. 1705-1714). online: IEEE. DOI Scopus1702 WoS1375 |
| 2019 | Zhuang, B., Shen, C., Tan, M., Liu, L., & Reid, I. (2019). Structured binary neural networks for accurate image classification and semantic segmentation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 413-422). online: IEEE. DOI Scopus133 WoS109 |
| 2019 | Wei, X. S., Zhang, C. L., Liu, L., Shen, C., & Wu, J. (2019). Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification. In Proceedings of the 14th Asian Conference on Computer Vision (ACCV 2018), as published in Lecture Notes in Computer Science Vol. 11362 (pp. 575-591). Switzerland: Springer. DOI Scopus34 WoS33 |
| 2018 | Yang, J., Gong, D., Liu, L., & Shi, Q. (2018). Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11207 LNCS (pp. 675-691). Switzerland: Springer Nature. DOI Scopus26 WoS98 |
| 2018 | Zhuang, B., Shen, C., Tan, M., Liu, L., & Reid, I. (2018). Towards effective low-bitwidth convolutional neural networks. In Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) (pp. 7920-7928). Piscataway, NJ.: IEEE. DOI Scopus222 WoS178 |
| 2018 | Milan, A., Pham, T., Vijay, K., Morrison, D., Tow, A. W., Liu, L., . . . Leitner, J. (2018). Semantic segmentation from limited training data. In 2018 IEEE International Conference on Robotics and Automation (ICRA) Vol. abs/1709.07665 (pp. 1908-1915). online: IEEE. DOI Scopus29 WoS24 |
| 2017 | Wang, P., Liu, L., Shen, C., Huang, Z., van den Hengel, A., & Shen, H. (2017). Multi-attention network for one shot learning. In Proceedings of the 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Vol. 2017-January (pp. 6212-6220). Online: IEEE. DOI Scopus83 WoS51 |
| 2017 | Li, Y., Lin, G., Zhuang, B., Liu, L., Shen, C., & van den Hengel, A. (2017). Sequential person recognition in photo albums with a recurrent network. In Proceedings: 30th IEEE Conference on Computer Vision and Pattern Recognition Vol. 2017-January (pp. 5660-5668). online: IEEE. DOI Scopus25 WoS12 |
| 2017 | Chen, Y., Shen, C., Wei, X., Liu, L., & Yang, J. (2017). Adversarial PoseNet: a structure-aware convolutional network for human pose estimation. In Proceedings of the IEEE International Conference on Computer Vision (ICCV 2017) Vol. 2017 (pp. 1221-1230). Piscataway, NJ: IEEE. DOI Scopus305 WoS174 |
| 2017 | Zhuang, B., Liu, L., Shen, C., & Reid, I. (2017). Towards context-aware interaction recognition for visual relationship detection. In Proceedings 2017 IEEE International Conference on Computer Vision ICCV 2017 Vol. 2017-October (pp. 589-598). Venice, Italy: IEEE. DOI Scopus133 WoS111 |
| 2017 | Zhuang, B., Liu, L., Li, Y., Shen, C., & Reid, I. (2017). Attend in groups: a weakly-supervised deep learning framework for learning from web data. In Proceedings of the 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Vol. 2017-January (pp. 2915-2924). Online: IEEE. DOI Scopus52 WoS83 |
| 2017 | Gong, D., Yang, J., Liu, L., Zhang, Y., Reid, I., Shen, C., . . . Shi, Q. (2017). From motion blur to motion flow: a deep learning solution for removing heterogeneous motion blur. In Proceedings of the 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Vol. 2017-January (pp. 3806-3815). Online: IEEE. DOI Scopus353 WoS278 |
| 2017 | Chen, Z., Jacobson, A., Sunderhauf, N., Upcroft, B., Liu, L., Shen, C., . . . Milford, M. (2017). Deep Learning Features at Scale for Visual Place Recognition. In Proceedings - IEEE International Conference on Robotics and Automation (pp. 3223-3230). Online: IEEE. DOI Scopus304 |
| 2017 | Teney, D., Liu, L., & van den Hengel, A. (2017). Graph-structured representations for visual question answering. In Proceedings of the 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Vol. 2017-January (pp. 3233-3241). Online: IEEE. DOI Scopus301 WoS281 |
| 2017 | Shen, T., Lin, G., Liu, L., Shen, C., & Reid, I. (2017). Weakly supervised semantic segmentation based on web image co-segmentation. In British Machine Vision Conference 2017, BMVC 2017 (pp. 1-12). online: BMVC. Scopus27 |
| 2016 | Li, Y., Liu, L., Shen, C., & van den Hengel, A. (2016). Image co-localization by mimicking a good detector’s confidence score distribution. In B. Leibe, J. Matas, N. Sebe, & M. Welling (Eds.), Proceedings of the 14th European Conference on Computer Vision, Part II Vol. 9906 LNCS (pp. 19-34). Amsterdam, Netherlands: Springer International Publishing. DOI Scopus37 WoS31 |
| 2016 | Wang, P., Liu, L., Shen, C., Huang, Z., Van Den Hengel, A., & Shen, H. (2016). What's wrong with that object? Identifying images of unusual objects by modelling the detection score distribution. In Proceedings of the 29th IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2016-December (pp. 1573-1581). Las Vegas, NV: IEEE. DOI Scopus10 WoS7 |
| 2016 | Qiao, R., Liu, L., Shen, C., & van den Hengel, A. (2016). Less is more: zero-shot learning from online textual documents with noise suppression. In Proceedings of the 29th IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2016-December (pp. 2249-2257). Las Vegas, NV: IEEE. DOI Scopus162 WoS118 |
| 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 Scopus430 WoS298 |
| 2016 | Ge, Z., McCool, C., Sanderson, C., Wang, P., Liu, L., Reid, I., & Corke, P. (2016). Exploiting temporal information for DCNN-based fine-grained object classification. In A. Liew, B. Lovell, C. Fookes, J. Zhou, Y. Gao, M. Blumenstein, & Z. Wang (Eds.), Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2016) (pp. 442-447). Gold Coast, AUSTRALIA: IEEE. DOI Scopus16 WoS6 |
| 2015 | Li, Y., Liu, L., Shen, C., & Van Den Hengel, A. (2015). Mid-level deep pattern mining. In Proceedings of the 2015 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 07-12-June-2015 (pp. 971-980). Boston, MA: IEEE. DOI Scopus91 WoS68 |
| 2015 | Liu, L., Shen, C., & van den Hengel, A. (2015). The treasure beneath convolutional layers: cross-convolutional-layer pooling for image classification. In Proceedings of the 2015 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 07-12-June-2015 (pp. 4749-4757). Boston, MA: IEEE. DOI Scopus169 WoS114 |
| 2014 | Liu, L., Shen, C., Wang, L., Van Den Hengel, A., & Wang, C. (2014). Encoding high dimensional local features by sparse coding based fisher vectors. In Proceedings of the 27th International Conference on Neural Information Processing Systems Vol. 2 (pp. 1143-1151). Online: MIT Press. Scopus68 |
| 2014 | Wang, C., Wang, L., & Liu, L. (2014). Progressive mode-seeking on graphs for sparse feature matching. In Proceedings of the 13th European Conference on Computer Vision Vol. 8690 LNCS (pp. 788-802). Zurich, Switzerland: Springer. DOI Scopus47 |
| 2014 | Zhou, L., Wang, L., Liu, L., Ogunbona, P., & Shen, D. (2014). Max-margin based learning for discriminative Bayesian network from neuroimaging data. In Proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention Vol. 17 (pp. 321-328). Boston, MA, USA: Springer. DOI Scopus2 WoS1 Europe PMC1 |
| 2014 | Liu, L., & Wang, L. (2014). HEp-2 cell image classification with multiple linear descriptors. In Pattern Recognition Vol. 47 (pp. 2400-2408). Elsevier BV. DOI Scopus23 |
| 2013 | Wang, C., Wang, L., & Liu, L. (2013). Improving graph matching via density maximization. In 2013 IEEE International Conference on Computer Vision (ICCV) (pp. 3424-3431). USA: IEEE. DOI Scopus10 |
| 2013 | Liu, L., & Wang, L. (2013). A scalable unsupervised feature merging approach to efficient dimensionality reduction of high-dimensional visual data. In 2013 IEEE International Conference on Computer Vision (ICCV) (pp. 3008-3015). USA: IEEE. DOI Scopus10 |
| 2013 | Zhang, J., Wang, L., Liu, L., Zhou, L., & Li, W. (2013). Accelerating the divisive information-theoretic clustering of visual words. In 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA) (pp. 1-8). USA: IEEE. DOI |
| 2013 | Zhou, L., Wang, L., Liu, L., Ogunbona, P., & Shen, D. (2013). Discriminative brain effective connectivity analysis for Alzheimer's disease: a kernel learning approach upon sparse Gaussian Bayesian network. In 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 2243-2250). USA: IEEE. DOI Scopus18 |
| 2012 | Liu, L., & Wang, L. (2012). What has my classifier learned? Visualizing the classification rules of bag-of-feature model by support region detection. In 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 3586-3593). USA: IEEE. DOI Scopus19 |
| 2011 | Liu, L., & Wang, L. (2011). Exploring latent class information for image retrieval using the Bag-of-Feature model. In Proceedings of the 19th ACM international conference on Multimedia (pp. 1405-1408). New York; USA: ACM. DOI |
| 2011 | Liu, L., Wang, L., & Liu, X. (2011). In defense of soft-assignment coding. In 2011 IEEE International Conference on Computer Vision (ICCV) (pp. 2486-2493). USA: IEEE. DOI Scopus459 |
| 2011 | Liu, L., Wang, L., & Shen, C. (2011). A generalized probabilistic framework for compact codebook creation. In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (pp. 1537-1544). USA: IEEE. DOI Scopus9 WoS6 |
| 2010 | Zhizhong, F., Lingqiao, L., Haiying, X., & Jin, X. (2010). Human computer interaction research and realization based on leg movement analysis. In 2010 International Conference on Apperceiving Computing and Intelligence Analysis Icacia 2010 Proceeding (pp. 421-426). IEEE. DOI Scopus5 |
| 2008 | Lingqiao, L., Zhizhong, F., Jingjing, X., & Wei, Q. (2008). Edge mapping: A new motion estimation method for video stabilization. In Proceedings International Symposium on Computer Science and Computational Technology Iscsct 2008 Vol. 2 (pp. 440-444). IEEE. DOI Scopus9 |
| 2008 | Qian, W., Fu, Z., Liu, L., & Deng, Z. (2008). Image registration based on feature extraction and voting strategy. In 2008 International Conference on Communications Circuits and Systems Proceedings Icccas 2008 (pp. 706-709). IEEE. DOI Scopus2 |
| 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.. |
DE170101259 (ARC Discovery Early Career Researcher Award 17): Zero-shot
and few-shot learning with deep knowledge transfer
DP160103710 (ARC Discovery Project 16) : Whole image understanding by
convolutions on graphs
Introduction to Statistic Machine Learning, Puzzle based Learning, Big Data Analysis and Project, Artificial Intelligence
| Date | Role | Research Topic | Program | Degree Type | Student Load | Student Name |
|---|---|---|---|---|---|---|
| 2025 | Principal Supervisor | Improving the Automation Efficiency of Q&A Chatbots Based on AI Agents | Master of Philosophy | Master | Full Time | Ms Shiya Huang |
| 2025 | Principal Supervisor | Toward Multi-Agent 3D Dynamic Scene Generation: A Framework for Complex Interactions in Shared Virtual Environments | Master of Philosophy | Master | Full Time | Mr Zhiyuan Zhang |
| 2025 | Principal Supervisor | Low-Cost Implementation of Visual Pseudo-Tactile and Multitasking Imitation Learning | Master of Philosophy | Master | Full Time | Mr Yukun Chen |
| 2025 | Principal Supervisor | Low-Cost Implementation of Visual Pseudo-Tactile and Multitasking Imitation Learning | Master of Philosophy | Master | Full Time | Mr Yukun Chen |
| 2025 | Principal Supervisor | Toward Multi-Agent 3D Dynamic Scene Generation: A Framework for Complex Interactions in Shared Virtual Environments | Master of Philosophy | Master | Full Time | Mr Zhiyuan Zhang |
| 2025 | Principal Supervisor | Improving the Automation Efficiency of Q&A Chatbots Based on AI Agents | Master of Philosophy | Master | Full Time | Ms Shiya Huang |
| 2024 | Principal Supervisor | Novel View Synthesis in Real-World Scenarios | Doctor of Philosophy | Doctorate | Full Time | Mr Jiatong Xia |
| 2024 | Co-Supervisor | Data-driven physically plausible dexterous manipulation | Doctor of Philosophy | Doctorate | Full Time | Mr King Hang Wong |
| 2024 | Co-Supervisor | Data-driven physically plausible dexterous manipulation | Doctor of Philosophy | Doctorate | Full Time | Mr King Hang Wong |
| 2024 | Principal Supervisor | Novel View Synthesis in Real-World Scenarios | Doctor of Philosophy | Doctorate | Full Time | Mr Jiatong Xia |
| 2023 | Principal Supervisor | 3D indoor Scene Reconstruction | Doctor of Philosophy | Doctorate | Full Time | Mr Wenbo Zhang |
| 2023 | Co-Supervisor | Implement a scalable, automated workflow for transposon annotation as part of the Ruminant T2T genome sequencing consortium | Doctor of Philosophy | Doctorate | Full Time | Miss Luan Zhong |
| 2023 | Principal Supervisor | Low-supervision Learning via Knowledge Transfer from Pretrained Models | Doctor of Philosophy | Doctorate | Full Time | Mr Zicheng Duan |
| 2023 | Principal Supervisor | Generative AI: Video Generation from text | Doctor of Philosophy | Doctorate | Full Time | Mr Ankit Yadav |
| 2023 | Principal Supervisor | Generative AI: Video Generation from text | Doctor of Philosophy | Doctorate | Full Time | Mr Ankit Yadav |
| 2023 | Co-Supervisor | Implement a scalable, automated workflow for transposon annotation as part of the Ruminant T2T genome sequencing consortium | Doctor of Philosophy | Doctorate | Full Time | Miss Luan Zhong |
| 2023 | Principal Supervisor | Low-supervision Learning via Knowledge Transfer from Pretrained Models | Doctor of Philosophy | Doctorate | Full Time | Mr Zicheng Duan |
| 2023 | Principal Supervisor | 3D indoor Scene Reconstruction | Doctor of Philosophy | Doctorate | Full Time | Mr Wenbo Zhang |
| Date | Role | Research Topic | Program | Degree Type | Student Load | Student Name |
|---|---|---|---|---|---|---|
| 2024 - 2025 | Principal Supervisor | Robust and Generalizable Temporal Video Understanding | Doctor of Philosophy | Doctorate | Full Time | Mr Qing Zhong |
| 2023 - 2024 | Principal Supervisor | Novel View Synthesis in Real-World Scenarios | Doctor of Philosophy | Master | Full Time | Mr Jiatong Xia |
| 2023 - 2025 | Co-Supervisor | Foundation Models for Embodied Navigation | Doctor of Philosophy | Master | Full Time | Mr Xiangyu Shi |
| 2022 - 2025 | Principal Supervisor | Dataset Augmentation for LLM Reasoning | Doctor of Philosophy | Doctorate | Full Time | Mr Xuan Ren |
| 2021 - 2024 | Principal Supervisor | Low-Shot Learning based on Pre-trained Model | Doctor of Philosophy | Doctorate | Full Time | Dr Ziqin Zhou |
| 2021 - 2024 | Principal Supervisor | Domain Generalization and its Application in Deepfake Detection | Doctor of Philosophy | Doctorate | Full Time | Mr Liang Chen |
| 2021 - 2025 | Co-Supervisor | Strategic Reduction of Training and Annotation in Computer Vision: Leveraging Pre-trained Models and Auxiliary Tasks for Efficient Learning | Doctor of Philosophy | Doctorate | Full Time | Mr Yuhao Lin |
| 2020 - 2024 | Principal Supervisor | Enhancing Model Generalization in Weakly Supervised and Low-Shot Transfer Learning Scenarios | Master of Philosophy | Master | Part Time | Mr Avi Nisel Chapman |
| 2020 - 2023 | Co-Supervisor | Deep Learning for Multipitch Detection and Melody Extraction | Doctor of Philosophy | Doctorate | Part Time | Mr Xian Wang |
| 2020 - 2024 | Co-Supervisor | Convolutional Neural Network for Analysing Gravitational Wave Signals | Master of Philosophy | Master | Full Time | Miss Kendall Louise Jenner |
| 2019 - 2023 | Co-Supervisor | Machine Learning and Natural Language Processing in Stock Prediction | Doctor of Philosophy | Doctorate | Full Time | Mr Jinan Zou |
| 2018 - 2019 | Co-Supervisor | High-performance Object Detection and Tracking using Deep Learning | Master of Philosophy | Master | Full Time | Mr Xinyu Wang |
| 2018 - 2022 | Principal Supervisor | Deep Semi-Supervised Learning Methodologies and Applications | Doctor of Philosophy | Doctorate | Full Time | Mr Hai-Ming Xu |
| 2018 - 2021 | Co-Supervisor | Deep Learning for 2D and 3D Scene Understanding | Doctor of Philosophy | Doctorate | Full Time | Mr Yu Liu |
| 2017 - 2019 | Co-Supervisor | Context Learning and Weakly Supervised Learning for Semantic Segmentation | Doctor of Philosophy | Doctorate | Full Time | Mr Tong Shen |
| 2017 - 2020 | Co-Supervisor | Efficient Scene Parsing with Imagery and Point Cloud Data | Doctor of Philosophy | Doctorate | Full Time | Mr Tong He |
| 2017 - 2021 | Co-Supervisor | Deep Learning for Image Deblurring and Reflection Removal | Doctor of Philosophy | Doctorate | Full Time | Mr Jie Yang |
| 2014 - 2018 | Co-Supervisor | Mid-level Representations for Action Recognition and Zero-shot Learning | Doctor of Philosophy | Doctorate | Full Time | Mr Ruizhi Qiao |
| 2014 - 2018 | Co-Supervisor | Deep Learning Based RGB-D Vision Tasks | Doctor of Philosophy | Doctorate | Full Time | Mr Yuanzhouhan Cao |
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