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Publications
AI for Science
1. Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong. Road Network Representation Learning with the Third Law of Geography. NeurIPS 2024.
2. Cheng Chen, Jiacheng Wei, Tianrun Chen, Chi Zhang, Xiaofeng Yang, Shangzhan Zhang, Bingchen Yang, Chuan-Sheng Foo, Guosheng Lin, Qixing Huang, Fayao Liu. CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images. CVPR 2025.
Journals
1. Yinghua Yao, Yuangang Pan, Jing Li, Ivor Tsang, Xin Yao. "PROUD: ParRetO-gUided Diffusion Model for Multi-objective". Machine Learning (2024): 6511–6538.
Artificial General Intelligence
1. Y. Liu, Y. Sun, J.H. Lim. Counterfactual Dynamics Forecasting—a New Setting of Quantitative Reasoning. AAAI 2023 (oral).
2. S. Chen, H. Zhu, X. Chen, Y. Lei, T. Chen, G. Yu. End2End 3D Dense Captioning with Vote2Cap-DETR. Accepted, CVPR 2023.
3. Y. Feng, H. Zhu, D. Peng, X. Peng, P. Hu. RONO: Robust Discriminative Learning with Noisy Labels for 2D-3D Cross-Modal Retrieval. Accepted, CVPR 2023.
4. L. Xu, M.H. Huang, X. Shang, Z. Yuan, Y. Sun, J. Liu. Meta Compositional Referring Expression Segmentation. Accepted, CVPR 2023.
6. C. Ye, H. Zhu, Y. Liao, Y. Zhang, T. Chen, J. Fan. What Makes for Effective Few-shot Point Cloud Classification? Proceedings of the IEEE/CVF winter conference on applications of computer, 2022.
7. X. Yi, K. Tang, X.S. Hua, J.H. Lim, H. Zhang. Identifying Hard Noise in Long-Tailed Sample Distribution. ECCV 2022 (oral).
8. F. Fang, W. Liang, Y. Wu, Q. Xu, J.H. Lim. Improving Generalization of Reinforcement Learning Using a Bilinear Policy Network. IEEE ICIP 2022.
9. F. Fang, Q. Xu, J.H. Lim. Hierarchical Defect Detection Based On Reinforcement Learning. IEEE ICIP 2022.
10. Y.L. Tan, E.Y.K. Chew, A. Kong, J.J. Kim, J.H. Lim. Portmanteauing Features for Scene Text Recognition. IAPR ICPR 2022.
11. M.C. Leong, H. Zhang, H.L. Tan, L. Li, J.H. Lim. Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition. IEEE CVPR 2022 Workshop on Fine-Grained Visual Categorization (FGVC9).
12. H. Fan, X. Chang, W. Zhang, Y. Cheng, Y. Sun, M. Kankanhalli. Self-supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022: 6377-6386.
13. X. Sui, S. Li, X. Geng, Y. Wu, X. Xu, Y. Liu, R. Goh, H. Zhu. CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow. CVPR 2022.
14. Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan: Pip: Physical Interaction Prediction via Mental Imagery with Span Selection. ECCV 2022, In Press.
15. Shantanu Jaiswal, Basura Fernando, Cheston Tan: TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs. ECCV 2022, In Press.
16. Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves: 3D Equivariant Graph Implicit Functions. ECCV 2022, In Press.
17. Kian Boon Koh, Basura Fernando: Consistency Regularization for Domain Adaptation. BMVC 2022, In Press.
18. Hehe Fan, Xiaojun Chang, Wanyue Zhang, Yi Cheng, Ying Sun, Mohan Kankanhalli: Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels. CVPR 2022: 6377-6386.
19. Bowen Xing, Ivor W. Tsang: DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition. ACL 2022: 3611-3621.
20. Bowen Xing, Ivor W. Tsang: Neural Subgraph Explorer: Reducing Noisy Information via Target-oriented Syntax Graph Pruning. IJCAI 2022: 4425-4431.
21. Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan: A Survey on Machine Learning Approaches for Modelling Intuitive Physics. IJCAI 2022: 5444-5452.
22. Arushi Goel, Basura Fernando, Frank Keller, and Hakan Bilen: Not All Relations Are Equal: Mining Informative Labels for Scene Graph Generation. CVPR 2022: 15596-15606.
23. Cunlin Wu, Yang Xiao, Boshen Zhang, Mingyang Zhang, Zhiguo Cao, Joey Tianyi Zhou:C3P: Cross-domain Pose Prior Propagation for Weakly Supervised 3D Human Pose Estimation. ECCV 2022.
24. Chen Chen, Yufei Wang, Bing Li and Kwok-Yan Lam: Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion. COLING 2022: 4005 - 4017.
26. Yuanbiao Gou, Peng Hu, Jiancheng Lv, Joey Tianyi Zhou, Xi Peng: Multi-Scale Adaptive Network for Single Image Denoising. NeurIPS 2022.
27. Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, ShiLiang Zhang, Bing Li, Wei Wang, Xin Cao: MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction. ACL 2022: 396 - 409.
28. Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang: Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. ACL 2022: 538 - 560.
29. Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan: Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. ICLR 2022.
30. Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman: When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes. ICCV 2021: 255-264.
31. Jiafei Duan, Samson Yu, Cheston Tan: Space: A Simulator for Physical Interactions and Causal Learning in 3D Environments. ICCV 2021: 2058-2063.
32. Qianli Xu, Nicolas Gauthier, Wenyu Liang, Fen Fang, Hui Li Tan, Ying Sun, Yan Wu, Liyuan Li, Joo-Hwee Lim: TAILOR: Teaching with Active and Incremental Learning for Object Registration. AAAI 2021: 16120-16123.
33. Shashi Kant Gupta, Mengmi Zhang, Chia-Chien Wu, Jeremy M. Wolfe, Gabriel Kreiman:
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases. NeurIPS 2021: 6946-6959.
34. Qianli Xu, Fen Fang, Ana Molino, Vigneshwaran Subbaraju, Joo-Hwee Lim: Predicting Event Memorability from Contextual Visual Semantics. NeurIPS 2021: 22431-22442.
35. Tiantian He, Yew Soon Ong, and Lu Bai: Learning Conjoint Attentions for Graph Neural Nets. NeurIPS 2021: 2641-2653.
36. Yueming Lyu, Ivor W. Tsang: Black-Box Optimizer with Stochastic Implicit Natural Gradient. ECML/PKDD 2021: 217-232.
37. Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang: ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting. KDD 2021: 269-278.
38. Yang Zhang, Ivor W. Tsang, Yawei Luo, Chang-Hui Hu, Xiaobo Lu, Xin Yu: Copy and Paste GAN: Face Hallucination From Shaded Thumbnails. CVPR 2020: 7353-7362.
39. Mengmi Zhang, Claire Tseng, Gabriel Kreiman: Putting Visual Object Recognition in Context. CVPR 2020: 12982-12991.
40. Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang: Graph Cross Networks with Vertex Infomax Pooling. NeurIPS 2020.
41. Yueming Lyu, Yuan Yuan, Ivor W. Tsang: Subgroup-based Rank-1 Lattice Quasi-Monte Carlo. NeurIPS 2020.
42. Xingrui Yu, Yueming Lyu, Ivor W. Tsang: Intrinsic Reward Driven Imitation Learning via Generative Model. ICML 2020: 10925-10935.
43. Han Tai, Raymond Wong and Bing Li: Effective Imbalance Learning Utilizing Informative Data. AusDM 2022: Data Mining 99–114.
44. Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo, Chunyan Miao. Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations. CIKM 2023.
45. Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen and Lizhen Cui. MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series. AAAI 2023: 37(8), 9153-9161.
46. Hangwei Qian, Tian Tian and Chunyan Miao. What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?. KDD 2022: 3761–3771.
47. Chenyu Sun, Hangwei Qian and Chunyan Miao. CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning. IJCAI 2022: 3444-3450.
48. Yongjie Wang, Hangwei Qian, and Chunyan Miao. DualCF: Efficient Model Extraction Attack from Counterfactual Explanations. FAccT 2022: 1318–1329.
49. Fei Luo, Hangwei Qian, Di Wang, Xu Guo, Yan Sun, Eng Sing Lee, Hui Hwang Teong, Ray Tian Rui Lai and Chunyan Miao. Missing Value Imputation for Diabetes Prediction. IEEE WCCI 2022: 1-8.
50. Hangwei Qian, Sinno Jialin Pan and Chunyan Miao. Latent Independent Excitation for Generalisable Sensor-based Cross-Person Activity Recognition. AAAI 2021: 35(13), 11921-11929.
51. Hangwei Qian, Sinno Jialin Pan, Bingshui Da and Chunyan Miao. A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition. IJCAI 2019: 5614-5620.
52. Hangwei Qian, Sinno Jialin Pan and Chunyan Miao. Distribution-based Semi-Supervised Learning for Activity Recognition. AAAI 2019: 33(01), 7699-7706.
53. Hangwei Qian, Sinno Jialin Pan and Chunyan Miao. Sensor-based Activity Recognition via Learning from Distributions. AAAI 2018: 32(1).
54. Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Daniel Gao, Morgan Bruce Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang. Learning to Learn: How to Continuously Teach Humans and Machines. ICCV 2023: 11708-11719.
55. Jay Zhangjie Wu, David Junhao Zhang, Wynne Hsu, Mengmi Zhang, Mike Zheng Shou. Label-efficient Online Continual Object Detection in Streaming Video. ICCV 2023: 19246-19255
56. Ankur Sikarwar, Mengmi Zhang. Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory. NeurIPS 2023.
57. Ren Jie Tee, Mengmi Zhang. Integrating Curricula with Replays: Its Effects on Continual Learning. AAAI 2023.
58. Zenglin Shi, Ying Sun, Mengmi Zhang. Training-free Object Counting with Prompts. WACV 2023.
59. Ziyu Wang, Mike Zheng Shou, Mengmi Zhang. Object-centric Learning with Cyclic Walks between Parts and Whole. NeurIPS 2023.
60. Chen Cheng, Ivor Tsang. Self-Teaching Prompting for Multi-Intent Learning with Limited Supervision (Tiny Paper). ICLR 2024.
61. Aishik Nagar, Shantanu Jaiswal, Cheston Tan. Dissecting Zero-Shot Visual Reasoning Capabilities in Vision and Language Models (Tiny Paper). ICLR 2024.
62. Yi Xuanyu, Zike Wu, Qingshan Xu, Pan Zhou, Joo Hwee Lim, Hanwang Zhang. Diffusion Time-step Curriculum for One Image to 3D Generation. CVPR 2024.
63. Sijin Chen, Xin Chen, Chi Zhang, Mingsheng Li, Gang Yu, Hao Fei, Hongyuan Zhu, Jiayuan Fan, Tao Chen. LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning. CVPR 2024.
64. Shilin Lu, Zilan Wang, Leyang Li, Yanzhu Liu, Adams Kong. MACE: Mass Concept Erasure in Diffusion Models. CVPR 2024.
65. Ishaan Rawal, Shantanu Jaiswal, Basura Fernando, Cheston Tan. Are VideoQA Models Truly Multimodal? NeurIPS XAIA 2023.
66. Clarence Lee, M Ganesh Kumar, Cheston Tan. DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners. ICCV 2023.
67. Shantanu Jaiswal, Cheston Tan. The Path to AGI Goes through Embodiment. AAAI 2023 Summer Symposium.
68. Ishaan Singh Rawal, Alexander Matyasko, Shantanu Jaiswal, Basura Fernando, Cheston Tan. Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion. ICML 2024.
69. Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Xiaoli Li, Min Wu. TSLANet: Rethinking Transformers for Time Series Representation Learning. ICML 2024.
70. Yilong Wang, Haishan Ye, Guang Dai, Ivor W. Tsang. Can Gaussian Sketching Converge Faster on a Preconditioned Landscape? ICML 2024.
71. Cheston Tan, Jing Jiang, Dylan Hillier. Social Learning through Interactions with Other Agents: A Survey. IJCAI 2024.
72. Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li. LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought. IJCAI 2024.
73. Jinmeng Wu, Chong Cao, Hao Zhang, Basura Fernando, Yanbin Hao, Hanyu Hong. PointTFA: Training-Free Clustering Adaption for Large 3D Point Cloud Models. IJCAI 2024.
74. Xingfeng Li, Yuangang Pan, Yinghui Sun, Quansen Sun, Ivor W. Tsang, Zhenwen Ren. Fast Unpaired Multi-view Clustering. IJCAI 2024.
75. Tingbing Yan, Wenzheng Zeng, Yang Xiao, Xingyu Tong, Bo Tan, Zhiwen Fang, Zhiguo Cao, Joey Tianyi Zhou. CrossGLG: LLM Guides One-shot Skeleton-based 3D Action Recognition in a Cross-level Manner. ECCV 2024.
76. Hao Cheng,Siyuan Yang, Chong Wang, Joey Tianyi Zhou, Alex Kot, Bihan Wen. STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning. ECCV 2024.
77. Mingsheng Li, Xin Chen, Chi Zhang, Sijin Chen, Hongyuan Zhu, Fukun Yin, Gang Yu, Tao Chen. M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts. ECCV 2024.
78. Hao Zhang, Yeo Keat Ee and Basura Fernando. RCA: Region Conditioned Adaptation for Visual Abductive Reasoning. ACM MM 2024.
79. Binqian Xu, Xiangbo Shu, Haiyang Mei, Zechen Bai, Basura Fernando, Mike Zheng Shou, Jinhui Tang. DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting. NeurIPS 2024.
80. Shantanu Jaiswal, Debaditya Roy, Basura Fernando, Cheston Tan. Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios. NeurIPS 2024.
81. Paritosh Parmar, Eric Peh, Ruirui Chen, Ting En Lam, Yuhan Chen, Elston Tan, Basura Fernando. CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes. NeurIPS 2024.
82. Shuangpeng Han, Ziyu Wang, Mengmi Zhang. Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception. NeurIPS 2024.
83. Naitik Khandelwal, Xiao Liu, Mengmi Zhang. Adaptive Visual Scene Understanding: Incremental Scene Graph Generation. NeurIPS 2024.
84. Yu Zhao, Hao Fei, Xiangtai Li, Libo Qin, Jiayi Ji, Hongyuan Zhu, Meishan Zhang, Min Zhang, Jianguo Wei. Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image. NeurIPS 2024.
85. X. Yi, Z. Wu, Q. Shen, Q. Xu, P. Zhou, J.H. Lim, S. Yan, X. Wang, H. Zhang. MVGamba: Unify 3D Content Generation as State Space Sequence Modelling. NeurIPS 2024.
86. Yating Xu, Chen Li, Gim Hee Lee. MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps. NeurIPS 2024.
87. Bowen Xing, Lizi Liao, Minlie Huang, Ivor Tsang. DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding. EMNLP 2024.
88. Ruirui Chen, Weifeng Jiang, Chengwei Qin, Ishaan Singh Rawal, Cheston Tan, Dongkyu Choi, Bo Xiong, Bo Ai. LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments. EMNLP 2024.
89. Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Tianyi Zhou, Zuozhu Liu. MedCoT: Medical Chain of Thought via Hierarchical Expert. EMNLP 2024.
90. Heng Zhao, Zhao Yinjie, Bihan Wen, Yew-Soon Ong, Joey Tianyi Zhou. Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding. EMNLP 2024.
91. Jiaxiang Liu, Tianxiang Hu, Jiawei Du, Ruiyuan Zhang, Joey Tianyi Zhou, Zuozhu Liu. KPL: Training-Free Medical Knowledge Mining of Vision-Language Models. AAAI-25.
92. Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu. Hierarchical Classification Auxiliary Network for Time Series Forecasting. AAAI-25.
93. Lei Zhang, Guanyu Gao, Haiyan Yin, Huaizheng Zhang. Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity. AAAI-25.
94. Zihao Han, Baoquan Zhang, Lisai Zhang, Shanshan Feng, Kenghong Lin, Guotao Liang, Yunming Ye, Guangming Ye. AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting. AAAI-25.
95. Pei Zhang, Yuangang Pan, Siwei Wang, Shengju Yu, Huiying Xu, En Zhu, Xinwang Liu, and Ivor Tsang. Max-Mahalanobis Anchors Guidance for Multi-View Clustering. AAAI-25.
96. Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong. Active Large Language Model-based Knowledge Distillation for Session-based Recommendation. AAAI-25.
97. Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong, Roger Wattenhofer, Wei-Tsang Ooi. FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF. AAMAS 2025.
98. Zhiliang Chen, Xinyuan Niu, Chuan-Sheng Foo, Bryan Kian Hsiang Low. Broaden your SCOPE! Efficient Conversation Planning for LLMs with Semantic Space. ICLR 2025.
99. Bo Wang, Dingwei Tan, Yen-Ling Kuo, Zhaowei Sun, Jeremy M. Wolfe, Tat-Jen Cham, Mengmi Zhang. Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging. CVPR 2025.
100. Chengyou Jia, Changliang Xia, Zhuohang Dang, Weijia Wu, Hangwei Qian, Minnan Luo. ChatGen: Automatic Text-to-Image Generation from FreeStyle Chatting. CVPR 2025.
101. Hua Yu, Weiming Liu, Gui Xu, Yaqing Hou, Yew-Soon Ong, Qiang Zhang. Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis. CVPR 2025.
102. Buzhen Huang, Chen Li, Chongyang Xu, Dongyue Lu, Jinnan Chen, Yangang Wang, Gim Hee Lee. Reconstructing Close Human Interaction with Appearance and Proxemics Reasoning. CVPR 2025.
103. Zhengbo Zhang, Yuxi Zhou, Duo Peng, Joo Hwee Lim, Zhigang Tu, De Wen Soh, Lin Geng Foo. Visual Prompting for One-shot Controllable Video Editing without Inversion. CVPR 2025.
1. Ye, C., Zhu, H., Zhang, B., Chen, T. "A Closer Look at Few-Shot 3D Point Cloud Classification." International Journal of Computer Vision, 131 (2023): 772–795.
2. Hu, P., Zhu, H., Lin, J., Peng, D., Zhao, Y.P., Peng, X. "Unsupervised Contrastive Cross-Modal Hashing." IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3): 3877 – 3889. (2023).
3. Liang, W., Fang, F., Acar, C., Toh, W.Q., Sun, Y., Xu, Q., Wu Y. "Visuo-Tactile Feedback-Based Robot Manipulation for Object Packing." IEEE Robotics & Automation Letters, 8(2): 1151 - 1158. (2023).
4. Koksal, A., Ak, K.E., Sun, Y., Rajan, D., Lim, J.H. "Controllable Video Generation with Text-based Instructions." Accepted, IEEE Transactions on Multimedia. (2023).
5. Ak, K.E., Sun, Y., Lim, J.H. "Learning by Imagination: A Joint Framework for Text-based Image Manipulation and Change Captioning." IEEE Transactions on Multimedia. (2022)
6. Fang, F., Xu, Q., Cheng, Y., Sun, Y., Lim, J.H. "Image Understanding with Reinforcement Learning: Auto-tuning Image Attributes and Model Parameters for Object Detection and Segmentation." IEEE Transactions on Circuits and Systems for Video Technology, 32(10): 6671-6685. (2022).
7. Fang, F., Liang, W., Wu, Y., Xu, Q., Lim, J.H. "Self-Supervised Reinforcement Learning for Active Object Detection." IEEE Robotics & Automation Letters, 7(4): 10224-10231. (2022).
8. Cheng, Y., Sun Y., Fan, H., Zhuo, T., Lim, J.H., Kankanhalli, M. "Entropy Guided Attention Network for Weakly-supervised Action Localization." Pattern Recognition, 129. (2022).
9. Lew, L.W.C., Wang, D., Ang, K.K., Lim, J.H., Quek, C., Tan, A.H. "EEG-Video Emotion-based Summarization: Learning with EEG Auxiliary Signals." IEEE Transactions on Affective Computing, 13(4): 1827-1839. (2022).
10. Puang, E.Y, Zhang, H., Zhu, H., Jing, W. "Hierarchical Point Cloud Encoding and Decoding With Lightweight Self-Attention Based Model." IEEE Robotics and Automation Letters, 7 (2), 4542-4549. (2022).
11. Peng, X., Li, Y., Tsang, I.W., Zhu, H., Lv, J., Zhou, J.T. "XAI Beyond Classification: Interpretable Neural Clustering." J. Mach. Learn. Res. 23, 6:1-6:28. (2022).
13. Yinghua Yao, Yuangang Pan, Ivor W. Tsang, and Xin Yao: "Differential-Critic GAN: Generating What You Want by a Cue of Preferences.” IEEE Transactions on Neural Networks and Learning Systems, In Press, 2022.
14. Bowen Xing, and Ivor W. Tsang: "Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysis." Journal of Artificial Intelligent Research 74 (2022): 627-659.
15. Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, and Yaqing Hou. "Half a Dozen Real-World Applications of Evolutionary Multitasking, and More." IEEE Computational Intelligence Magazine 17, no.2 (2022): 49-66.
16. Wong, Jian Cheng, Chinchun Ooi, Abhishek Gupta, and Yew-Soon Ong. "Learning in Sinusoidal Spaces with Physics-Informed Neural Networks." IEEE Transactions on Artificial Intelligence (2022).
17. Yi Cheng, Ying Sun, Hehe Fan, Tao Zhuo, Joo-Hwee Lim, and Mohan Kankanhalli. "Entropy Guided Attention Network for Weakly-supervised Action Localization." Pattern Recognition 129 (2022): 108718.
18. Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, and Cheston Tan. "A Survey of Embodied AI: From Simulators to Research Tasks." IEEE Transactions on Emerging Topics in Computational Intelligence (2022).
19. Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor W. Tsang, Lejian Liao. "Coarse-to-Fine Contrastive Learning on Graphs." IEEE Transactions on Neural Networks and Learning Systems (2022).
20. Yinghua Yao, Yuangang Pan*, Ivor W. Tsang, Xin Yao. "Differential-Critic GAN: Generating What You Want by a Cue of Preferences." IEEE Transactions on Neural Networks and Learning Systems (2022).
21. Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong. "Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding." IEEE Transactions on Neural Networks and Learning Systems (2022).
22. Yang Zhang, Xin Yu, Xiaobo Lu, Ping Liu*(corresponding author). "Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnails." IEEE Transactions on Image processing (2022).
23. Yuangang Pan, Ivor W. Tsang*, Weijie Chen, Gang Niu, Masashi Sugiyama. "Fast and Robust Rank Aggregation against Model Misspecification." Journal of Machine Learning Research (2022).
24. Mengmi Zhang, and Kreiman Gabriel. "Beauty is in the Eye of the Machine." Nature Human Behaviour 5.6 (2021): 675-676.
25. Mitra Tajrobehkar, Kaihua Tang, Hanwang Zhang, and Joo-Hwee Lim. "Align R-CNN: A Pairwise Head Network for Visual Relationship Detection." IEEE Transactions on Multimedia 24 (2021): 1266-1276.
26. Jian Cheng Wong, Abhishek Gupta, and Yew-Soon Ong. "Can Transfer Neuro Evolution Tractably Solve your Differential Equations?" IEEE Computational Intelligence Magazine 16, no. 2 (2021): 14-30.
27. Lu Bai, Wu Lin, Abhishek Gupta, and Yew-Soon Ong. "From Multitask Gradient Descent to Gradient-free Evolutionary Multitasking: A Proof of Faster Convergence." IEEE Transactions on Cybernetics (2021).
28. Xiaofeng Cao, and Ivor W. Tsang. "Distribution Disagreement via Lorentzian Focal Representation." IEEE Transactions on Pattern Analysis and Machine Intelligence (2021).
29. Yang Zhang, Ivor W. Tsang, Yawei Luo, Changhui Hu, Xiaobo Lu, and Xin Yu. "Recursive Copy and Paste GAN: Face Hallucination from Shaded Thumbnails." IEEE Transactions on Pattern Analysis and Machine Intelligence 44, no. 8 (2021): 4321-4338.
30. Weiwei Liu, Haobo Wang, Xiaobo Shen, and Ivor W. Tsang. "The Emerging Trends of Multi-label Learning." IEEE Transactions on Pattern Analysis and Machine Intelligence (2021).
31. Xiaofeng Cao, and Ivor W. Tsang. "Distribution Disagreement via Lorentzian Focal Representation." IEEE Transactions on Pattern Analysis and Machine Intelligence (2021).
32. Xiaofeng Xu, Ivor W. Tsang, and Chuancai Liu. "Improving Generalization via Attribute Selection on Out-of-the-Box Data." Neural Computation 32, no. 2 (2020): 485-514.
33. Yaxin Shi, Yuangang Pan, Donna Xu, and Ivor W. Tsang. "Multiview Alignment and Generation in CCA via Consistent Latent Encoding." Neural Computation 32, no. 10 (2020): 1936-1979.
34. Mengmi Zhang, Jiashi Feng, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, and Gabriel Kreiman. "Finding Any Waldo with Zero-shot Invariant and Efficient Visual Search." Nature Communications 9.1 (2018): 1-15.
35. Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor Tsang, Lejian Liao. "Coarse-to-Fine Contrastive Learning on Graphs." IEEE Transactions on Neural Networks and Learning Systems (2022).
36. Hangwei Qian, Sinno Jialin Pan and Chunyan Miao. "Weakly-Supervised Sensor-based Activity Segmentation and Recognition via Learning from Distributions." Artificial Intelligence Journal (2021).
37. Morgan B Talbot, Rushikesh Zawar, Rohil Badkundri, Mengmi Zhang, Gabriel Kreiman. Tuned Compositional Feature Replays for Efficient Stream Learning. IEEE Transactions on Neural Networks and Learning Systems (2023).
Resilient & Safe AI
Conferences
1. Alvin Chan, Yew Soon Ong, Clement Tan: How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? IJCAI 2022: 659-665.
2. Zhiwei Hu, Victor Gutiérrez-Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan: Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs. IJCAI 2022: 3078-3084.
3. Sebastian Shenghong Tay, Chuan Sheng Foo, Urano Daisuke, Richalynn Leong, Bryan Kian Hsiang Low: Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity. ICML 2022: 21180-21204.
4. Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma: Synthesising Audio Adversarial Examples for Automatic Speech Recognition. KDD 2022: 1430-1440.
5. Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma: Importance Prioritized Policy Distillation. KDD 2022: 1420-1429.
6. Kangkang Lu, Cuong Manh Nguyen, Xun Xu, Kiran Chari, Yu Jing Goh, Chuan-Sheng Foo: ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity. ICLR 2021.
7. Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low: Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee. NeurIPS 2021: 1007-1021.
8. Jiawei Du, Hu Zhang, Joey Tianyi Zhou, Yi Yang, Jiashi Feng: Query-efficient Meta Attack to Deep Neural Networks. ICLR 2020.
9. Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits: Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment. AAAI 2020: 8018-8025.
10. Yueming Lyu, Ivor W. Tsang: Curriculum Loss: Robust Learning and Generalization against Label Corruption. ICLR 2020.
11. Bo Han, Gang Niu, Xingrui Yu, Quanming Yao, Miao Xu, Ivor W. Tsang, Masashi Sugiyama: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust. ICML 2020: 4006-4016.
12. Houssam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, Vijay Chandrasekhar: Adversarially Learned Anomaly Detection. ICDM 2018: 727-736.
13. Ping Liu, Xin Yu, Joey Tianyi Zhou: Meta Knowledge Condensation for Federated Learning. ICLR 2023.
14. Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor Tsang, Yang Liu, Qing Guo. IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. ICLR 2024.
15. Jianlang Chen, Xuhong Ren, Qing Guo, Felix Juefei-Xu, Di Lin, Wei Feng, Lei Ma, Jianjun Zhao. LRR: Language-driven Resamplable Continuous Representation Against Adversarial Tracking Attacks. ICLR 2024.
16. Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Jian Wu, Wanlu Liu, Joey Tianyi Zhou, Howard Hao Yang, Zuozhu Liu. FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data. ICLR 2024.
17. Sebastian Shenghong Tay, Chuan-Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low. A Unified Framework for Bayesian Optimisation under Contextual Uncertainty. ICLR 2024.
18. Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor Tsang, Ya Zhang, Yanfeng Wang. On Harmonising Implicit Subpopulations. ICLR 2024.
19. Feiyang Ye, Yueming Lyu, Xuehao Wang, Yu Zhang, Ivor Tsang. Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning. ICLR 2024.
20. Jiayi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu. CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection. CVPR 2024.
21. Jinlong Li, Baolu Li, Zhengzhong Tu, Xinyu Liu, Qing Guo, Felix Juefei-Xu, Runsheng Xu, Hongkai Yu. Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving. CVPR 2024.
22. Junhao Dong, Piotr Koniusz, Junxi Chen, Z. Jane Wang, Yew-Soon Ong. Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples. CVPR 2024.
23. Junhao Dong, Piotr Koniusz, Junxi Chen, Xiaohua Xie, Yew-Soon Ong. Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners. CVPR 2024.
24. Sixing Yan, William Cheung, Ivor Tsang, Keith Chiu, Terence M. Tong, Ka Chun Cheung, Simon See. AHIVE: Anatomy-aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval. CVPR 2024.
25. Wenyu Zhang, Liu Qingmu, Felix Ong Wei Cong, Mohamed Ragab, Chuan-Sheng Foo. Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias. CVPR 2024.
26. Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo. Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation. ICML 2024.
27. W. Liu, X. Zheng, C. Chen, J. Xu, X. Liao, F. Wang, Y. Tan, and Y. S. Ong. Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. ICML 2024.
28. Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Chuan-Sheng Foo, Bryan Kian Hsiang Low. Robust and Fine-tuning-free Instance Attribution for Interpretable NLP. ICML 2024.
29. Canyu Zhang, Xiaoguang Li, Qing Guo, and Song Wang. SAIR: Learning Semantic-aware Implicit Representation. ECCV 2024.
30. Sensen Gao, Xiaojun Jia, Xuhong Ren, Ivor W. Tsang, and Qing Guo. Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory. ECCV 2024.
31. Ruofei Wang, Qing Guo, Haoliang Li, and Renjie Wan. Event Trojan: Asynchronous Event-based Backdoor Attacks. ECCV 2024.
32. Jialiang Tang, Shuo Chen, Gang Niu, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong, Masashi Sugiyama. Direct Distillation between Different Domains. ECCV 2024.
33. Xing Yun, Qing Guo, Xiaofeng Cao, Ivor W. Tsang, Lei Ma. MetaRepair: Learning to Repair Deep Neural Networks from Repairing Experiences. ACM MM 2024.
34. Runyi Hu, Jie Zhang, Ting Xu, Jiwei Li, Tianwei Zhang. Robust-Wide: Robust Watermarking against Instruction-driven Image Editing. ECCV 2024.
35. Ruiqi Wang, Jinyang Huang, Jie Zhang, Xin Liu, Xiang Zhang, Zhi Liu, Peng Zhao, Sigui Chen, and Xiao Sun. FacialPulse: An Efficient RNN-based Depression Detection via Temporal Facial Landmarks. ACM MM 2024.
36. Yanghao Su, Jie Zhang, Ting Xu, Tianwei Zhang, Weiming Zhang, Nenghai Yu. Model X-ray: Detecting Backdoored Models via Decision Boundary. ACM MM 2024.
37. Chenhao Wang, Lisi Chen, Shuo Shang, Shanshan Feng. Flexible Contact Correlation Learning on Spatio-Temporal Trajectories. DASFAA 2024.
38. Jiashu Han, Shanshan Feng, Min Zhou, Xinyu Zhang, Yew Soon Ong, and Xutao Li. Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection. ECML PKDD-2024.
39. Zhen Chen, Dalin Zhang, Shanshan Feng, Kaixuan Chen, Lisi Chen, Peng Han, Shuo Shang. KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding. AAAI-2024.
40. Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu, Changqing Zhang. The Best of Both Worlds: On the Dilemma of out.of-distribution Detection. NeurIPS 2024.
41. Yizhuo Ma, Shanmin Pang, Qi Guo, Tianyu Wei, Qing Guo. ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation. NeurIPS 2024.
42. Yadong Sun, Xiaofeng Cao, Yu Wang, Wei Ye, Jingcai Guo, Qing Guo. Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures. NeurIPS 2024.
43. Lubo Wang, Kairui Yang, Qing Guo, Wuyuan Xie, Miaohui Wang, Ping Li, Lingyu Liang, Yi Wang, Ruonan Liu, Di Lin. Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion. NeurIPS 2024.
44. Yanzhi Li, Keqiu Li, LI GUOHUI, zumin Wang, Chanqing Ji, Lubo Wang, Die Zuo, Qing Guo, Feng Zhang, Manyu Wang, Di Lin. Sim2Real-Fire: A Multi-modal Simulation Dataset for Forecast and Backtracking of Real-world Forest Fire. NeurIPS 2024.
45. Xiaopeng Xie, Ming Yan, Xiwen Zhou, Chenlong Zhao, Suli Wang, Yong Zhang, Joey Tianyi Zhou. Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning. EMNLP 2024.
46. Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low. Framework for Robust and Scalable Text Watermarking. EMNLP 2024.
47. Jiashu Han, Shanshan Feng, Min Zhou, Xinyu Zhang, Yew Soon Ong, and Xutao Li. Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection. ECML PKDD 2024.
48. Haoxiang Tian, Xingshuo Han, Guoquan Wu, An Guo, Yuan Zhou, Jie Zhang, Shuo Li, Jun Wei, Tianwei Zhang. An LLM-empowered Adaptive Evolutionary Algorithm For Multi-Component Deep Learning Systems. AAAI-25.
49. Xuemei Jia, Jiawei Du, Hui Wei, Ruinian Xue, Zheng Wang, Hongyuan Zhu, Jun Chen. Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization. AAAI-25.
50. Yuxiao Lee, Xiaofeng Cao, Jingcai Guo, Wei Ye, Qing Guo, Yi Chang. Concept Matching with Agent for Out-of-Distribution Detection. AAAI-25.
51. Brian Formento, Chuan-Sheng Foo, See-Kiong Ng. Confidence Elicitation: A New Attack Vector for Large Language Models. ICLR 2025.
52. Lile Cai, Chuan-Sheng Foo, Xun Xu, Zaiwang Gu, Jun Cheng, Xulei Yang. Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching. ICLR 2025.
53. Kennard Chan, Fayao Liu, Guosheng Lin, Chuan-Sheng Foo, Weisi Lin. Robust-PIFu: Robust Pixel-aligned Implicit Function for 3D Human Digitalization from a Single Image. ICLR 2025.
54. Yongyi Su, Yushu Li, Nanqing Liu, Kui Jia, Xulei Yang, Chuan-Sheng Foo, Xun Xu. On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning. ICLR 2025.
55. Runyi Hu, Jie Zhang, Yiming Li, Jiwei Li, Qing Guo, Han Qiu, Tianwei Zhang. VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking. ICLR 2025.
56. Kairui Yang, Zihao Guo, Gengjie Lin, Haotian Dong, Zhao Huang, Yipeng Wu, Die Zuo, Jibin Peng, Ziyuan Zhong, Xin WANG, Qing Guo, Xiaosong Jia, Junchi Yan, Di Lin. Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving. ICLR 2025.
57. Ruizhe Chen, Yichen Li, Jianfei Yang, YANG FENG, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu. Identifying and Mitigating Social Bias Knowledge in Language Models. NAACL 2025.
58. Meng Tong, Kejiang Chen, Xiaojian Yuan, Jiayang Liu, Weiming Zhang, Nenghai Yu, Jie Zhang. On the Vulnerability of Text Sanitisation. NAACL 2025.
59. Yue Cao, Yun Xing, Jie Zhang, Di Lin, Tianwei Zhang, Ivor Tsang, Yang Liu, Qing Guo. SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments. CVPR 2025.
60. Yuanwei Liu, Hui Wei, Chengyu Jia, Ruqi Xiao, Weijian Ruan, Xingxing Wei, Joey Tianyi Zhou, Zheng Wang. ProjAttacker: A Configurable Physical Adversarial Attack for Face Recognition via Projector. CVPR 2025.
61. Shuxian Li, Changhao He, XitingLiu, Joey Tianyi Zhou, Xi Peng, Peng Hu. Learning with Noisy Triplet Correspondence for Composed Image Retrieval. CVPR 2025.
62. Xuecheng Wu, Heli Sun, Yifan Wang, Jiayu Nie, Jie Zhang, Yabing Wang, Junxiao Xue, Liang He. AVF-MAE++: Scaling Affective Video Facial Masked Autoencoders via Efficient Audio-Visual Self-Supervised Learning. CVPR 2025.
Journals
1. Yuangang Pan, Ivor W. Tsang, Weijie Chen, Gang Niu, and Masashi Sugiyama. "Fast and Robust Rank Aggregation against Model Misspecification." Journal of Machine Learning Research 23 (2022): 23-1.
2. Xi Peng, Yunfan Li, Ivor W. Tsang, Hongyuan Zhu, Jiancheng Lv, and Joey Tianyi Zhou. "XAI Beyond Classification: Interpretable Neural Clustering." Journal of Machine Learning Research 23 (2022): 6-1.
3. Zongbo Han, Changqing Zhang, Huazhu Fu, and Joey Tianyi Zhou. "Trusted Multi-View Classification with Dynamic Evidential Fusion." IEEE Transactions on Pattern Analysis and Machine Intelligence (2022).
4. Astha Garg, Wenyu Zhang, Jules Samaran, Ramasamy Savitha, and Chuan-Sheng Foo. "An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series." IEEE Transactions on Neural Networks and Learning Systems 33, no. 6 (2021): 2508-2517.
5. Yuangang Pan, Ivor W. Tsang, Yueming Lyu, Avinash K. Singh, and Chin-Teng Lin. "Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation." Neural Computation 33, no. 6 (2021): 1616-1655.
6. Xinghua Qu, Yew-Soon Ong, and Abhishek Gupta. "Frame-correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies." IEEE Transactions on Cybernetics (2021).
7. Xinghua Qiu, Abhishek Gupta, Yew-Soon Ong, and Zhu Sun. "Adversary Agnostic Robust Deep Reinforcement Learning." IEEE Transactions on Neural Networks and Learning Systems (2021).
8. Zhang, Le, Wei Cui, Bing Li*, Zhenghua Chen, Min Wu, and Teo Sin Gee. "Privacy-Preserving Cross-Environment Human Activity Recognition." IEEE Transactions on Cybernetics (2021): 1 - 11.
9. Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, and Ivor W. Tsang. "Learning on Attribute-missing Graphs." IEEE Transactions on Pattern Analysis and Machine Intelligence (2020).
10. Huiting Hong, Xin Li, Yuangang Pan, and Ivor Tsang. "Domain-adversarial Network Alignment." IEEE Transactions on Knowledge and Data Engineering (2020).
11. Xiaofeng Cao, and Ivor W. Tsang. "Shattering Distribution for Active Learning." IEEE Transactions on Neural Networks and Learning Systems (2020).
12. Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-Fu Fung, and P. Yu Celina. "Privacy-preserving Stochastic Gradual Learning." IEEE Transactions on Knowledge and Data Engineering 33, no. 8 (2020): 3129-3140.
13. Yuangang Pan, Ivor W. Tsang, Avinash K. Singh, Chin-Teng Lin, and Masashi Sugiyama. "Stochastic Multichannel Ranking with Brain Dynamics Preferences." Neural Computation 32, no. 8 (2020): 1499-1530.
14. Yanxin Zhang, Yulei Sui, Shirui Pan, Zheng Zheng, Baodi Ning, Ivor W. Tsang, and Wanlei Zhou. "Familial Clustering for Weakly-labeled Android Malware Using Hybrid Representation Learning." IEEE Transactions on Information Forensics and Security 15 (2019): 3401-3414.
15. Jing Li, Yuangang Pan, Yulei Sui, and Ivor W. Tsang. "Secure Metric Learning via Differential Pairwise Privacy." IEEE Transactions on Information Forensics and Security 15 (2020): 3640-3652.
16. Defu Liu; Ivor W. Tsang, Guowu Yang. “A Convergence Path to Deep Learning on Noisy Labels." IEEE Transactions on Neural Networks and Learning Systems. In Press.
Sustainable AI
1. Wenyu Zhang, Li Shen, Wanyue Zhang, Chuan-Sheng Foo: Few-shot Adaptation of Pre-trained Networks for Domain Shift. IJCAI 2022: 1665-1671.
2. Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, and Zhenghua Chen: Learning Temporal Consistency for Source-Free Video Domain Adaptation. ECCV 2022.
3. Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li: Generalising Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation. AAAI 2022.
4. Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li: DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CVPR 2022: 11275-11284.
5. Yuxiang Zhang, Tao Jiang, Tianyu Yang, Xiaoli Li, and Suge Wang: HTKG: Deep Keyphrase Generation with Neural Hierarchical Topic Guidance. SIGIR 2022: 1044–1054.
6. Zhiwei Hu, Victor Gutierrez Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan: TEMP: Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs. IJCAI 2022.
7. Xu Wong, Peng Hu, Ming Yan, Dezhong Peng: Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval. AAAI 2023.
8. Bing Li, Wei Cui, Yanru Chen, Joey Tianyi Zhou, Zhenghua Chen, Yuli Li, Wu Min: Cost-Effective Elderly Fall Detection with Symmetry Transformer Networks. IEEE SmartCity 2022.
9. Yuka Hashimoto, Sho Sonoda, Isao Ishikawa, Atsushi Nitanda, and Taiji Suzuki. Koopman-Based Bound for Generalization: New Aspect of Neural Networks Regarding Nonlinear Noise Filtering. ICLR 2024.
10. Atsushi Nitanda, Kazusato Oko, Taiji Suzuki, and Denny Wu. Anisotropy Helps: Improved Statistical and Computational Complexity of the Mean-field Langevin Dynamics Under Structured Data. ICLR 2024.
11. Yang He, Lingao Xiao, Joey Tianyi Zhou, Ivor Tsang. Multisize Dataset Condensation (Oral presentation). ICLR 2024.
12. Yang He, Joey Tianyi Zhou. Data-independent Module-aware Pruning for Hierarchical Vision Transformers. ICLR 2024.
13. Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor Tsang, Yong Liu. Decentralised Riemannian Conjugate Gradient Method on the Stiefel Manifold. ICLR 2024.
14. Xin Zhang, Jiawei Du, Weiying Xie, Yunsong Li, Joey Tianyi Zhou. Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning. CVPR 2024.
15. Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang. Diversified Batch Selection for Training Acceleration. ICML 2024.
16. Hao Di, Haishan Ye, Yueling Zhang, Xiangyu Chang, Guang Dai, Ivor W. Tsang. Double Variance Reduction: A Smoothing Trick for Composite Optimisation Problems without First-Order Gradient. ICML 2024.
17. Hao Di, Haishan Ye, Xiangyu Chang, Guang Dai, Ivor W. Tsang. Double Stochasticity Gazes Faster: Snap-Shot Decentralised Stochastic Gradient Tracking Methods. ICML 2024.
18. Zhiliang Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low. Optimising Complex Machine Learning Systems with Black-box and Differentiable Components. ICML 2024.
19. Wang Shengming, Zhang Xiaocai, Li Jing, Wei Xiaoyang, Lau Hoong Chuin, Dai Bingtian, Huang Binbin, Xiao Zhe, Fu Xiuju, Qin Zheng. 3. Fuel-Saving Route Planning with Data Driven and Learning Based Approaches – A Systematic Solution for Harbor Tugs. IJCAI 2024.
20. Yuxin Hong, Xiao Zhang, Xin Zhang, Joey Tianyi Zhou. Evolution-aware VAriance (EVA) Coreset Selection for Medical Image Classification. ACM MM 2024.
21. Xuanqian Wang, Jing Li, Ivor W. Tsang, Yew-Soon Ong. Towards Harmless Rawlsian Fairness Regardless of Demographic Prior. NeurIPS 2024.
22. Jinliang Deng, Feiyang Ye, Du Yin, Xuan Song, Ivor W. Tsang, Hui Xiong. Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting. NeurIPS 2024.
23. Jiawei Du, Xin Zhang, Juncheng Hu, Wenxin Huang, Joey Tianyi Zhou. Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment (Spotlight Paper). NeurIPS 2024.
24. Lingao Xiao, Yang He. Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?. NeurIPS 2024.
25. Guanlin Li, Kangjie Chen, Shudong Zhang, Jie Zhang, Tianwei Zhang. ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users. NeurIPS 2024.
26. Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang. Generative Semi-supervised Graph Anomaly Detection. NeurIPS 2024.
27. Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen. Reinforced Cross-Domain Knowledge Distillation on Time Series Data. NeurIPS 2024.
28. Juncai Li, Ru Li, Xiaoli Li, Qinghua Chai, Jeff Z. Pan. HCEG: Improving the Abstraction Ability of Language Models with Hierarchical Conceptual Entailment Graphs. EMNLP 2024.
29. Ran Liu, Zhongzhou Liu, Xiaoli Li, Yuan Fang. Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs. EMNLP 2024.
30. Chandan Gautam, Sethupathy Parameswaran, Aditya Kane, Yuan Fang, Savitha Ramasamy, Suresh Sundaram, Sunil Kumar Sahu, Xiaoli Li. Class Name Guided Out-of-Scope Intent Classification. EMNLP 2024.
31. Jiaxiang Liu, Tianxiang Hu, Huimin Xiong, Jiawei Du, YANG FENG, Jian Wu, Joey Tianyi Zhou, Zuozhu Liu. VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis. EMNLP 2024.
32. Cheng Chen, Bowen Xing, Ivor Tsang. Robust Distilled Learning for Open Domain Spoken Language Understanding: Leveraging Noisy Teacher and Consistency Guided Students. ECML PKDD 2024.
33. Ziniu Yin, Yanglin Feng, Ming Yan, Xiaomin Song, Dezhong Peng, Xu Wang. RoDA: Robust Domain Alignment for Cross-domain Retrieval against Label Noise. AAAI-25.
34. Zhendong Liu, Le Zhang, Bing Li, Yingjie Zhou, Zhenghua Chen, Ce Zhu. WiFi CSI Based Temporal Activity Detection Via Dual Pyramid Network. AAAI-25.
35. Yalun Dai, Lingao Xiao, Ivor Tsang, Yang He. Training-Free Dataset Pruning for Instance Segmentation. ICLR 2025.
Journals
1. Yang He, Ping Liu, Linchao Zhu, and Yi Yang. "Filter Pruning by Switching to Neighboring CNNs with Good Attributes." IEEE Transactions on Neural Networks and Learning Systems (2022).
2. Zhehui Wang, Tao Luo, Rick Siow Mong Goh, and Joey Tianyi Zhou. "EDCompress: Energy-aware Model Compression for Dataflows." IEEE Transactions on Neural Networks and Learning Systems (2022).
3. Tian Huang, Tao Luo, Ming Yan and Joey Tianyi Zhou, and Rick Siow Mong Goh. “RCT: Resource Constrained Training for Edge AI." IEEE Transactions on Neural Networks and Learning Systems (2022).
4. Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, and Yew-Soon Ong. "A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges." arXiv preprint arXiv:2205.03824 (2022).
5. Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, and Xiaoli Li. "Self-supervised Autoregressive Domain Adaptation for Time Series Data." IEEE Transactions on Neural Networks and Learning Systems (2022).
6. Jiaqi Xu, Yuanwei Liu, Xidong Mu, Joey Tianyi Zhou, Lingyang Song, H. Vincent Poor, and Lajos Hanzo. "Simultaneously Transmitting and Reflecting Intelligent Omni-surfaces: Modeling and Implementation." IEEE Vehicular Technology Magazine 17, no. 2 (2022): 46 - 54.
7. Tian Huang, Tao Luo, Ming Yan and Joey Tianyi Zhou, Rick Siow Mong Goh. "RCT: Resource Constrained Training for Edge AI." IEEE Transactions on Neural Networks and Learning Systems (2022).
8. Zhehui Wang, Tao Luo, Rick Siow Mong Goh, and Joey Tianyi Zhou. "Efficient Spiking Neural Networks with Radix Encoding." IEEE Transactions on Neural Networks and Learning Systems (2022).
9. Yang He, Ping Liu, Linchao Zhu, and Yi Yang. "Filter Pruning by Switching to Neighboring CNNs with Good Attributes." IEEE Transactions on Neural Networks and Learning Systems (2022).
10. Xiaodong Wang, Zhedong Zheng, Yang He, Fei Yan, Zhiqiang Zeng, Yi Yang. "Soft Person Reidentification Network Pruning via Blockwise Adjacent Filter Decaying." IEEE Transactions on Cybernetics 52, no. 12 (2021): 13293 - 13307.
11. Qing Xu, Zhenghua Chen, Keyu Wu, Chao Wang, Min Wu, and Xiaoli Li. "KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction." IEEE Transactions on Industrial Electronics 69, no. 2 (2021): 2022-2032.
12. Pan Lai, Rui Fan, Xiao Zhang, Wei Zhang, Fang Liu, and Joey Tianyi Zhou. "Utility Optimal Thread Assignment and Resource Allocation in Multi-server Systems." IEEE/ACM Transactions on Networking 30, no. 2 (2021): 735-748.
13. Joey Tianyi Zhou, Heng Zhao, Xi Peng, Meng Fang, Zheng Qin, and Rick Siow Mong Goh. "Transfer Hashing: From Shallow to Deep." IEEE Transactions on Neural Networks and Learning Systems 29, no. 12 (2018): 6191-6201.
14. Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen. "Graph Neural Networks with Triple Attention for Few-Shot Learning." IEEE Transactions on Multimedia (2022).
15. Tao Qiu, Chuanyu Zong, Xiaochun Yang, Bin Wang, Bing Li." Hierarchical Filtering: Improving Similar Substring Matching Under Edit Distance. World Wide Web (2022).
Theory and Optimisation in AI
Conferences
1. Atsushi Nitanda. Improved Particle Approximation Error for Mean Field Neural Networks. NeurIPS 2024.
2. Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Taiji Suzuki, Qingfu Zhang, Hau-San Wong. Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning. NeurIPS 2024.
3. Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu. Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. NeurIPS 2024.
4. Mingwei Xu, Xiaofeng Cao, Ivor W. Tsang. Sharpness-Aware Minimization Activated Interactive Teaching Understanding and Optimization. NeurIPS 2024.
5. Zhenglin Wan, Anjun Gao, Xingrui Yu, Pingfu Chao, Jun Song, Maohao Ran. POI Recommendation via Multi-Objective Adversarial Imitation Learning. AAAI-25.
6. Tzeh Yuan Neoh, Nicholas The. Understanding EFX Allocations: Counting and Variants. AAAI-25.
7. Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor Tsang. Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration. AAMAS 2025.
8. Edith Elkind, Alexander Lam, Mohamad Latifian, Tzeh Yuan Neoh and Nicholas Teh. Temporal Fair Division of Indisible Items. AAMAS 2025.
Others
Wenyu Zhang, Li Shen, Wanyue Zhang and Chuan-Sheng Foo
Type-aware Embedding for Multi-Hop Reasoning over Knowledge Graphs
Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan
A Survey on Machine Learning Approaches for Modelling Intuitive Physics
Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan
A Survey of Embodied Al: From Simulators to Research Tasks
Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu and Cheston Tan
Simultaneously Transmitting and Reflecting (STAR)-RISs: Are They Applicable to Dual-Sided Incidence?
Jiaqi Xu, Xidong Mu, Joey Tianyi Zhou, Yuanwei Liu
Simultaneously Transmitting and Reflecting Intelligent Omni-Surfaces: Modeling and Implementation
Jiaqi Xu, Yuanwei Liu, Xidong Mu, Joey Tianyi Zhou, Lingyang Song, H. Vincent Poor, Lajos Hanzo
Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior
Chen Cheng, Xiaofeng Yang, Fan Yang, Chengzeng Feng, Zhoujie Fu, Chuan-Sheng Foo, Guosheng Lin, Fayao Liu
R-Cyclic Diffuser: Reductive and Cyclic Latent Diffusion for 3D Clothed Human Digitalisation
Kennard Chan, Fayao Liu, Guosheng Lin, Chuan-Sheng Foo, Weisi Lin
REACTO: Reconstructing Articulated Objects from a Single Video
Chaoyue Song, Jiacheng Wei, Chuan-Sheng Foo, Guosheng Lin, Fayao Liu
SPASCA: Social Presence and Support with Conversational Agent for Persons Living with Dementia
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