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Publications
AI for Science
1. Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong. . NeurIPS 2024.
Journals
1. Yinghua Yao, Yuangang Pan, Jing Li, Ivor Tsang, Xin Yao. "". 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.. Accepted, CVPR 2023.
3. Y. Feng, H. Zhu, D. Peng, X. Peng, P. Hu. Accepted, CVPR 2023.
4. L. Xu, M.H. Huang, X. Shang, Z. Yuan, Y. Sun, J. Liu. . Accepted, CVPR 2023.
6. C. Ye, H. Zhu, Y. Liao, Y. Zhang, T. Chen, J. Fan. 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. . ECCV 2022 (oral).
8. F. Fang, W. Liang, Y. Wu, Q. Xu, J.H. Lim. . IEEE ICIP 2022.
9. F. Fang, Q. Xu, J.H. Lim. . IEEE ICIP 2022.
10. Y.L. Tan, E.Y.K. Chew, A. Kong, J.J. Kim, J.H. Lim. . IAPR ICPR 2022.
11. M.C. Leong, H. Zhang, H.L. Tan, L. Li, J.H. Lim. . IEEE CVPR 2022 Workshop on Fine-Grained Visual Categorization (FGVC9).
12. H. Fan, X. Chang, W. Zhang, Y. Cheng, Y. Sun, M. Kankanhalli. . 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. . CVPR 2022.
14. Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan: . ECCV 2022, In Press.
15. Shantanu Jaiswal, Basura Fernando, Cheston Tan: . ECCV 2022, In Press.
16. Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves: . ECCV 2022, In Press.
17. Kian Boon Koh, Basura Fernando: . BMVC 2022, In Press.
18. Hehe Fan, Xiaojun Chang, Wanyue Zhang, Yi Cheng, Ying Sun, Mohan Kankanhalli: . CVPR 2022: 6377-6386.
19. Bowen Xing, Ivor W. Tsang: . ACL 2022: 3611-3621.
20. Bowen Xing, Ivor W. Tsang: Neural Subgraph Explorer: . IJCAI 2022: 4425-4431.
21. Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan: . IJCAI 2022: 5444-5452.
22. Arushi Goel, Basura Fernando, Frank Keller, and Hakan Bilen: . CVPR 2022: 15596-15606.
23. Cunlin Wu, Yang Xiao, Boshen Zhang, Mingyang Zhang, Zhiguo Cao, Joey Tianyi Zhou:. ECCV 2022.
24. Chen Chen, Yufei Wang, Bing Li and Kwok-Yan Lam: Knowledge Is Flat: . COLING 2022: 4005 - 4017.
26. Yuanbiao Gou, Peng Hu, Jiancheng Lv, Joey Tianyi Zhou, Xi Peng: . NeurIPS 2022.
27. Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, ShiLiang Zhang, Bing Li, Wei Wang, Xin Cao: . ACL 2022: 396 - 409.
28. Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang: . ACL 2022: 538 - 560.
29. Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan: . ICLR 2022.
30. Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman: . ICCV 2021: 255-264.
31. Jiafei Duan, Samson Yu, Cheston Tan: Space: . 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: . AAAI 2021: 16120-16123.
33. Shashi Kant Gupta, Mengmi Zhang, Chia-Chien Wu, Jeremy M. Wolfe, Gabriel Kreiman:
. NeurIPS 2021: 6946-6959.
34. Qianli Xu, Fen Fang, Ana Molino, Vigneshwaran Subbaraju, Joo-Hwee Lim: . NeurIPS 2021: 22431-22442.
35. Tiantian He, Yew Soon Ong, and Lu Bai: . NeurIPS 2021: 2641-2653.
36. Yueming Lyu, Ivor W. Tsang: . ECML/PKDD 2021: 217-232.
37. Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang: . KDD 2021: 269-278.
38. Yang Zhang, Ivor W. Tsang, Yawei Luo, Chang-Hui Hu, Xiaobo Lu, Xin Yu: . CVPR 2020: 7353-7362.
39. Mengmi Zhang, Claire Tseng, Gabriel Kreiman: . CVPR 2020: 12982-12991.
40. Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang: . NeurIPS 2020.
41. Yueming Lyu, Yuan Yuan, Ivor W. Tsang: . NeurIPS 2020.
42. Xingrui Yu, Yueming Lyu, Ivor W. Tsang: . ICML 2020: 10925-10935.
43. Han Tai, Raymond Wong and Bing Li: . AusDM 2022: Data Mining 99–114.
44. Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo, Chunyan Miao. . CIKM 2023.
45. Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen and Lizhen Cui. . AAAI 2023: 37(8), 9153-9161.
46. Hangwei Qian, Tian Tian and Chunyan Miao. . KDD 2022: 3761–3771.
47. Chenyu Sun, Hangwei Qian and Chunyan Miao. . IJCAI 2022: 3444-3450.
48. Yongjie Wang, Hangwei Qian, and Chunyan Miao. 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. . IEEE WCCI 2022: 1-8.
50. Hangwei Qian, Sinno Jialin Pan and Chunyan Miao. . AAAI 2021: 35(13), 11921-11929.
51. Hangwei Qian, Sinno Jialin Pan, Bingshui Da and Chunyan Miao. . IJCAI 2019: 5614-5620.
52. Hangwei Qian, Sinno Jialin Pan and Chunyan Miao. . AAAI 2019: 33(01), 7699-7706.
53. Hangwei Qian, Sinno Jialin Pan and Chunyan Miao. . 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. . ICCV 2023: 11708-11719.
55. Jay Zhangjie Wu, David Junhao Zhang, Wynne Hsu, Mengmi Zhang, Mike Zheng Shou. . ICCV 2023: 19246-19255
56. Ankur Sikarwar, Mengmi Zhang. . NeurIPS 2023.
57. Ren Jie Tee, Mengmi Zhang. . AAAI 2023.
58. Zenglin Shi, Ying Sun, Mengmi Zhang. . WACV 2023.
59. Ziyu Wang, Mike Zheng Shou, Mengmi Zhang. . 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. (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. . CVPR 2024.
64. Shilin Lu, Zilan Wang, Leyang Li, Yanzhu Liu, Adams Kong. . CVPR 2024.
65. Ishaan Rawal, Shantanu Jaiswal, Basura Fernando, Cheston Tan. NeurIPS XAIA 2023.
66. Clarence Lee, M Ganesh Kumar, Cheston Tan. ICCV 2023.
67. Shantanu Jaiswal, Cheston Tan. . AAAI 2023 Summer Symposium.
68. Ishaan Singh Rawal, Alexander Matyasko, Shantanu Jaiswal, Basura Fernando, Cheston Tan. . ICML 2024.
69. Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Xiaoli Li, Min Wu. . ICML 2024.
70. Yilong Wang, Haishan Ye, Guang Dai, Ivor W. Tsang. 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. . 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. . ECCV 2024.
78. Hao Zhang, Yeo Keat Ee and Basura Fernando. . ACM MM 2024.
79. Binqian Xu, Xiangbo Shu, Haiyang Mei, Zechen Bai, Basura Fernando, Mike Zheng Shou, Jinhui Tang. . NeurIPS 2024.
80. Shantanu Jaiswal, Debaditya Roy, Basura Fernando, Cheston Tan. . NeurIPS 2024.
81. Paritosh Parmar, Eric Peh, Ruirui Chen, Ting En Lam, Yuhan Chen, Elston Tan, Basura Fernando. . NeurIPS 2024.
82. Shuangpeng Han, Ziyu Wang, Mengmi Zhang. . NeurIPS 2024.
83. Naitik Khandelwal, Xiao Liu, Mengmi Zhang. . NeurIPS 2024.
84. Yu Zhao, Hao Fei, Xiangtai Li, Libo Qin, Jiayi Ji, Hongyuan Zhu, Meishan Zhang, Min Zhang, Jianguo Wei. . NeurIPS 2024.
85. X. Yi, Z. Wu, Q. Shen, Q. Xu, P. Zhou, J.H. Lim, S. Yan, X. Wang, H. Zhang. . NeurIPS 2024.
86. Yating Xu, Chen Li, Gim Hee Lee. . 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. . 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. . 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. . 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.
1. Ye, C., Zhu, H., Zhang, B., Chen, T. "." International Journal of Computer Vision, 131 (2023): 772–795.
2. Hu, P., Zhu, H., Lin, J., Peng, D., Zhao, Y.P., Peng, X. "." 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. "." IEEE Robotics & Automation Letters, 8(2): 1151 - 1158. (2023).
4. Koksal, A., Ak, K.E., Sun, Y., Rajan, D., Lim, J.H. "." Accepted, IEEE Transactions on Multimedia. (2023).
5. Ak, K.E., Sun, Y., Lim, J.H. "" IEEE Transactions on Multimedia. (2022)
6. Fang, F., Xu, Q., Cheng, Y., Sun, Y., Lim, J.H. "" 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. "." IEEE Robotics & Automation Letters, 7(4): 10224-10231. (2022).
8. Cheng, Y., Sun Y., Fan, H., Zhuo, T., Lim, J.H., Kankanhalli, M. "." Pattern Recognition, 129. (2022).
9. Lew, L.W.C., Wang, D., Ang, K.K., Lim, J.H., Quek, C., Tan, A.H. "." IEEE Transactions on Affective Computing, 13(4): 1827-1839. (2022).
10. Puang, E.Y, Zhang, H., Zhu, H., Jing, W. "." 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. "." J. Mach. Learn. Res. 23, 6:1-6:28. (2022).
13. Yinghua Yao, Yuangang Pan, Ivor W. Tsang, and Xin Yao: ".” IEEE Transactions on Neural Networks and Learning Systems, In Press, 2022.
14. Bowen Xing, and Ivor W. Tsang: "." Journal of Artificial Intelligent Research 74 (2022): 627-659.
15. Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, and Yaqing Hou. "." IEEE Computational Intelligence Magazine 17, no.2 (2022): 49-66.
16. Wong, Jian Cheng, Chinchun Ooi, Abhishek Gupta, and Yew-Soon Ong. "." IEEE Transactions on Artificial Intelligence (2022).
17. Yi Cheng, Ying Sun, Hehe Fan, Tao Zhuo, Joo-Hwee Lim, and Mohan Kankanhalli. "." Pattern Recognition 129 (2022): 108718.
18. Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, and Cheston Tan. "." 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. "." IEEE Transactions on Neural Networks and Learning Systems (2022).
21. Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong. "." IEEE Transactions on Neural Networks and Learning Systems (2022).
22. Yang Zhang, Xin Yu, Xiaobo Lu, Ping Liu*(corresponding author). "." IEEE Transactions on Image processing (2022).
23. Yuangang Pan, Ivor W. Tsang*, Weijie Chen, Gang Niu, Masashi Sugiyama. "." Journal of Machine Learning Research (2022).
24. Mengmi Zhang, and Kreiman Gabriel. "." Nature Human Behaviour 5.6 (2021): 675-676.
25. Mitra Tajrobehkar, Kaihua Tang, Hanwang Zhang, and Joo-Hwee Lim. "." IEEE Transactions on Multimedia 24 (2021): 1266-1276.
26. Jian Cheng Wong, Abhishek Gupta, and Yew-Soon Ong. "" IEEE Computational Intelligence Magazine 16, no. 2 (2021): 14-30.
27. Lu Bai, Wu Lin, Abhishek Gupta, and Yew-Soon Ong. "." IEEE Transactions on Cybernetics (2021).
28. Xiaofeng Cao, and Ivor W. Tsang. "." IEEE Transactions on Pattern Analysis and Machine Intelligence (2021).
29. Yang Zhang, Ivor W. Tsang, Yawei Luo, Changhui Hu, Xiaobo Lu, and Xin Yu. "." 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. "." IEEE Transactions on Pattern Analysis and Machine Intelligence (2021).
31. Xiaofeng Cao, and Ivor W. Tsang. "." IEEE Transactions on Pattern Analysis and Machine Intelligence (2021).
32. Xiaofeng Xu, Ivor W. Tsang, and Chuancai Liu. "" Neural Computation 32, no. 2 (2020): 485-514.
33. Yaxin Shi, Yuangang Pan, Donna Xu, and Ivor W. Tsang. "" Neural Computation 32, no. 10 (2020): 1936-1979.
34. Mengmi Zhang, Jiashi Feng, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, and Gabriel Kreiman. "" Nature Communications 9.1 (2018): 1-15.
35. Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor Tsang, Lejian Liao. "" IEEE Transactions on Neural Networks and Learning Systems (2022).
36. Hangwei Qian, Sinno Jialin Pan and Chunyan Miao. "." Artificial Intelligence Journal (2021).
37. Morgan B Talbot, Rushikesh Zawar, Rohil Badkundri, Mengmi Zhang, Gabriel Kreiman. . IEEE Transactions on Neural Networks and Learning Systems (2023).
Resilient & Safe AI
Conferences
1. Alvin Chan, Yew Soon Ong, Clement Tan: IJCAI 2022: 659-665.
2. Zhiwei Hu, Victor Gutiérrez-Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan: . IJCAI 2022: 3078-3084.
3. Sebastian Shenghong Tay, Chuan Sheng Foo, Urano Daisuke, Richalynn Leong, Bryan Kian Hsiang Low: . ICML 2022: 21180-21204.
4. Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma: . KDD 2022: 1430-1440.
5. Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma: . KDD 2022: 1420-1429.
6. Kangkang Lu, Cuong Manh Nguyen, Xun Xu, Kiran Chari, Yu Jing Goh, Chuan-Sheng Foo: . ICLR 2021.
7. Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low: NeurIPS 2021: 1007-1021.
8. Jiawei Du, Hu Zhang, Joey Tianyi Zhou, Yi Yang, Jiashi Feng: . ICLR 2020.
9. Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits: . AAAI 2020: 8018-8025.
10. Yueming Lyu, Ivor W. Tsang: . ICLR 2020.
11. Bo Han, Gang Niu, Xingrui Yu, Quanming Yao, Miao Xu, Ivor W. Tsang, Masashi Sugiyama: . ICML 2020: 4006-4016.
12. Houssam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, Vijay Chandrasekhar: . ICDM 2018: 727-736.
13. Ping Liu, Xin Yu, Joey Tianyi Zhou: . ICLR 2023.
14. Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor Tsang, Yang Liu, Qing Guo. . ICLR 2024.
15. Jianlang Chen, Xuhong Ren, Qing Guo, Felix Juefei-Xu, Di Lin, Wei Feng, Lei Ma, Jianjun Zhao. . ICLR 2024.
16. Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Jian Wu, Wanlu Liu, Joey Tianyi Zhou, Howard Hao Yang, Zuozhu Liu. ICLR 2024.
17. Sebastian Shenghong Tay, Chuan-Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low. ICLR 2024.
18. Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor Tsang, Ya Zhang, Yanfeng Wang. . ICLR 2024.
19. Feiyang Ye, Yueming Lyu, Xuehao Wang, Yu Zhang, Ivor Tsang. . 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. . CVPR 2024.
26. Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo. . ICML 2024.
27. W. Liu, X. Zheng, C. Chen, J. Xu, X. Liao, F. Wang, Y. Tan, and Y. S. Ong. . ICML 2024.
28. Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Chuan-Sheng Foo, Bryan Kian Hsiang Low. . ICML 2024.
29. Canyu Zhang, Xiaoguang Li, Qing Guo, and Song Wang. . ECCV 2024.
30. Sensen Gao, Xiaojun Jia, Xuhong Ren, Ivor W. Tsang, and Qing Guo. . ECCV 2024.
31. Ruofei Wang, Qing Guo, Haoliang Li, and Renjie Wan. . ECCV 2024.
32. Jialiang Tang, Shuo Chen, Gang Niu, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong, Masashi Sugiyama. . ECCV 2024.
33. Xing Yun, Qing Guo, Xiaofeng Cao, Ivor W. Tsang, Lei Ma. . ACM MM 2024.
34. Runyi Hu, Jie Zhang, Ting Xu, Jiwei Li, Tianwei Zhang. . ECCV 2024.
35. Ruiqi Wang, Jinyang Huang, Jie Zhang, Xin Liu, Xiang Zhang, Zhi Liu, Peng Zhao, Sigui Chen, and Xiao Sun. . ACM MM 2024.
36. Yanghao Su, Jie Zhang, Ting Xu, Tianwei Zhang, Weiming Zhang, Nenghai Yu. . ACM MM 2024.
37. Chenhao Wang, Lisi Chen, Shuo Shang, Shanshan Feng. . DASFAA 2024.
38. Jiashu Han, Shanshan Feng, Min Zhou, Xinyu Zhang, Yew Soon Ong, and Xutao Li. ECML PKDD-2024.
39. Zhen Chen, Dalin Zhang, Shanshan Feng, Kaixuan Chen, Lisi Chen, Peng Han, Shuo Shang. AAAI-2024.
40. Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu, Changqing Zhang. . NeurIPS 2024.
41. Yizhuo Ma, Shanmin Pang, Qi Guo, Tianyu Wei, Qing Guo. . NeurIPS 2024.
42. Yadong Sun, Xiaofeng Cao, Yu Wang, Wei Ye, Jingcai Guo, Qing Guo. . NeurIPS 2024.
43. Lubo Wang, Kairui Yang, Qing Guo, Wuyuan Xie, Miaohui Wang, Ping Li, Lingyu Liang, Yi Wang, Ruonan Liu, Di Lin. . 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. . 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. . EMNLP 2024.
47. Jiashu Han, Shanshan Feng, Min Zhou, Xinyu Zhang, Yew Soon Ong, and Xutao Li. . ECML PKDD 2024.
48. Haoxiang Tian, Xingshuo Han, Guoquan Wu, An Guo, Yuan Zhou, Jie Zhang, Shuo Li, Jun Wei, Tianwei Zhang. . 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. . AAAI-25.
Journals
1. Yuangang Pan, Ivor W. Tsang, Weijie Chen, Gang Niu, and Masashi Sugiyama. "." 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. "." Journal of Machine Learning Research 23 (2022): 6-1.
3. Zongbo Han, Changqing Zhang, Huazhu Fu, and Joey Tianyi Zhou. "." IEEE Transactions on Pattern Analysis and Machine Intelligence (2022).
4. Astha Garg, Wenyu Zhang, Jules Samaran, Ramasamy Savitha, and Chuan-Sheng Foo. "." 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. "." Neural Computation 33, no. 6 (2021): 1616-1655.
6. Xinghua Qu, Yew-Soon Ong, and Abhishek Gupta. "." IEEE Transactions on Cybernetics (2021).
7. Xinghua Qiu, Abhishek Gupta, Yew-Soon Ong, and Zhu Sun. "." IEEE Transactions on Neural Networks and Learning Systems (2021).
8. Zhang, Le, Wei Cui, Bing Li*, Zhenghua Chen, Min Wu, and Teo Sin Gee. "." IEEE Transactions on Cybernetics (2021): 1 - 11.
9. Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, and Ivor W. Tsang. "." IEEE Transactions on Pattern Analysis and Machine Intelligence (2020).
10. Huiting Hong, Xin Li, Yuangang Pan, and Ivor Tsang. "." IEEE Transactions on Knowledge and Data Engineering (2020).
11. Xiaofeng Cao, and Ivor W. Tsang. "" 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. "." 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. "." 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. "." IEEE Transactions on Information Forensics and Security 15 (2019): 3401-3414.
15. Jing Li, Yuangang Pan, Yulei Sui, and Ivor W. Tsang. "." 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: . IJCAI 2022: 1665-1671.
2. Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, and Zhenghua Chen: . 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: . CVPR 2022: 11275-11284.
5. Yuxiang Zhang, Tao Jiang, Tianyu Yang, Xiaoli Li, and Suge Wang: . SIGIR 2022: 1044–1054.
6. Zhiwei Hu, Victor Gutierrez Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan: . 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. . ICLR 2024.
10. Atsushi Nitanda, Kazusato Oko, Taiji Suzuki, and Denny Wu. . ICLR 2024.
11. Yang He, Lingao Xiao, Joey Tianyi Zhou, Ivor Tsang. (Oral presentation). ICLR 2024.
12. Yang He, Joey Tianyi Zhou. . ICLR 2024.
13. Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor Tsang, Yong Liu. . ICLR 2024.
14. Xin Zhang, Jiawei Du, Weiying Xie, Yunsong Li, Joey Tianyi Zhou. . CVPR 2024.
15. Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang. . ICML 2024.
16. Hao Di, Haishan Ye, Yueling Zhang, Xiangyu Chang, Guang Dai, Ivor W. Tsang. . ICML 2024.
17. Hao Di, Haishan Ye, Xiangyu Chang, Guang Dai, Ivor W. Tsang. . ICML 2024.
18. Zhiliang Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low. . 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. . ACM MM 2024.
21. Xuanqian Wang, Jing Li, Ivor W. Tsang, Yew-Soon Ong. . NeurIPS 2024.
22. Jinliang Deng, Feiyang Ye, Du Yin, Xuan Song, Ivor W. Tsang, Hui Xiong. . NeurIPS 2024.
23. Jiawei Du, Xin Zhang, Juncheng Hu, Wenxin Huang, Joey Tianyi Zhou. (Spotlight Paper). NeurIPS 2024.
24. Lingao Xiao, Yang He. . NeurIPS 2024.
25. Guanlin Li, Kangjie Chen, Shudong Zhang, Jie Zhang, Tianwei Zhang. . NeurIPS 2024.
26. Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang. . NeurIPS 2024.
27. Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen. . 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. . 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. . AAAI-25.
Journals
1. Yang He, Ping Liu, Linchao Zhu, and Yi Yang. "." IEEE Transactions on Neural Networks and Learning Systems (2022).
2. Zhehui Wang, Tao Luo, Rick Siow Mong Goh, and Joey Tianyi Zhou. "." 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. “." IEEE Transactions on Neural Networks and Learning Systems (2022).
4. Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, and Yew-Soon Ong. "." arXiv preprint arXiv:2205.03824 (2022).
5. Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, and Xiaoli Li. "." 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. "." 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. "." IEEE Transactions on Neural Networks and Learning Systems (2022).
8. Zhehui Wang, Tao Luo, Rick Siow Mong Goh, and Joey Tianyi Zhou. "." IEEE Transactions on Neural Networks and Learning Systems (2022).
9. Yang He, Ping Liu, Linchao Zhu, and Yi Yang. "." IEEE Transactions on Neural Networks and Learning Systems (2022).
10. Xiaodong Wang, Zhedong Zheng, Yang He, Fei Yan, Zhiqiang Zeng, Yi Yang. "." IEEE Transactions on Cybernetics 52, no. 12 (2021): 13293 - 13307.
11. Qing Xu, Zhenghua Chen, Keyu Wu, Chao Wang, Min Wu, and Xiaoli Li. "." 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. "." 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. "." 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. "." IEEE Transactions on Multimedia (2022).
15. Tao Qiu, Chuanyu Zong, Xiaochun Yang, Bin Wang, Bing Li." World Wide Web (2022).
Theory and Optimisation in AI
Conferences
1. Atsushi Nitanda. . NeurIPS 2024.
2. Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Taiji Suzuki, Qingfu Zhang, Hau-San Wong. . NeurIPS 2024.
3. Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu. . NeurIPS 2024.
4. Mingwei Xu, Xiaofeng Cao, Ivor W. Tsang. . 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. . AAMAS 2025.
8. Edith Elkind, Alexander Lam, Mohamad Latifian, Tzeh Yuan Neoh and Nicholas Teh. . 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
Jiaqi Xu, Xidong Mu, Joey Tianyi Zhou, Yuanwei Liu
Jiaqi Xu, Yuanwei Liu, Xidong Mu, Joey Tianyi Zhou, Lingyang Song, H. Vincent Poor, Lajos Hanzo
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
A*STAR celebrates International Women's Day
From groundbreaking discoveries to cutting-edge research, our researchers are empowering the next generation of female science, technology, engineering and mathematics (STEM) leaders.