Conferences1.
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.
5. Xu Wong, Peng Hu,
Ming Yan, Dezhong Peng: Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval. AAAI 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.
25.
Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent T.F. Tan,
Joey Tianyi Zhou:
Sharpness Aware-Training for Free. NeurIPS 2022.
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.
Journals
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).
12. Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, and
Yew-Soon Ong: "
Scalable Transfer Evolutionary Optimization: Coping with Big Task-Instances."
IEEE Transactions on Cybernetics, In Press, 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. "
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