Biography
Dr. Tan Yap Peng received his B.S. degree from National Taiwan University and his M.A. and Ph.D. degrees from Princeton University, all in Electrical Engineering. He worked at the IBM Thomas J. Watson Research Center (New York), Intel Corporation (Arizona), and Sharp Laboratories of America (Washington) before joining Nanyang Technological University (NTU), Singapore, in 1999.
At NTU, he held several leadership roles, including Head of the Division of Information Engineering, Associate Chair (Academic), and Chair of the School of Electrical and Electronic Engineering, Deputy Dean and Interim Dean of the College of Engineering, and Associate Vice President (Lifelong Learning – Postgraduate Programmes by Coursework). He was also the Founding Director of the INFINITUS Infocomm Research Centre and President’s Chair in Electrical & Electronic Engineering. His research interests include image and video processing, computer vision, pattern recognition, machine learning, artificial intelligence, and data analytics.
A Fellow of the IEEE, Dr. Tan has been actively engaged in professional service. He chaired the IEEE Visual Signal Processing and Communications Technical Committee, the IEEE International Conference on Multimedia Expo (ICME) Steering Committee, the Membership Election Subcommittee of the Multimedia Systems and Applications Technical Committee, the Nominations and Elections Subcommittee of the Multimedia Signal Processing Technical Committee, and the IEEE Signal Processing Singapore Chapter. He also served as Associate Editor for the IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Signal Processing Letters, and IEEE Access; and Editorial Board Member for the EURASIP Journal on Advances in Signal Processing and the EURASIP Journal on Image and Video Processing.
Dr. Tan has also taken on major conference leadership roles, including General Co-Chair of ICME 2010 and the 2015 IEEE International Conference on Visual Communications and Image Processing (VCIP 2015), Technical Program Co-Chair of ICME 2015, ICME 2018 and the 2019 IEEE International Conference on Image Processing (ICIP 2019).
- Image and Video Processing
- Computer Vision
- Pattern Recognition
- Machine Learning
- Artificial Intelligence
- Data Analytics
- Image and Video Processing
- Computer Vision and Pattern Recognition
- Artificial Intelligence and Data Mining
- Machine Learning
1. Weipeng Hu, Jiun Tian Hoe, Jianhui Li, Haifeng Hu, Xudong Jiang, and Yap-Peng Tan, “Cascaded Dynamic Memory Refinement and Semantic Alignment for Exo-to-Ego Cross-view Video Generation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
2. Jiaxiang Cheng, Guoqiang Hu, and Yap-Peng Tan, “Deep Mixture Weibull: An Explainable AI Approach for Survival Analysis with Principle Hidden Competing Risks,” IEEE Transactions on Artificial Intelligence, 2025
3. Yang Chen, Yueqi Duan, Haowen Sun, Jiwen Lu, and Yap-Peng Tan, “Ambiguity-aware Point Cloud Segmentation by Adaptive Margin Contrastive Learning,” IEEE Transactions on Multimedia, 2025.
4. Runzhong Zhang, Yueqi Duan, Yang Chen, Weipeng Hu, Chen Cai, Suchen Wang, and Yap-Peng Tan, “Boundary Voting Network for Ambiguity-aware Timestamp-supervised Action Segmentation,” IEEE Transactions on Circuits and Systems for Video Technology, 2025.
5. Runhao Li, Yongming Chen, Zhenyu Weng, Zhiping Lin, and Yap-Peng Tan, “Class-Specific Prompt Learning for Vision-Language Models,” IEEE Transactions on Neural Networks and Learning Systems, 2025.
6. Yi Yu, Song Xia, Xun Lin, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, and Alex C. Kot, “Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation”, IEEE Transactions on Information Forensics & Security, 2025.
7. Yi Yu, Yufei Wang, Wenhan Yang, Lanqing Guo, Shijian Lu, Yap-Peng Tan, and Alex C. Kot, “Robust and Transferable Backdoor Attacks Against Deep Image Compression with Selective Frequency Prior,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
8. Wei Zhou; Kang Lin; Weipeng Hu; Chao Xie; Tao Su; Haifeng Hu, and Yap-Peng Tan “Snippet-inter Difference Attention Network for Weakly-supervised Temporal Action Localization,” IEEE Transactions on Multimedia, 2025.
9. Yi Yu, Song Xia, Siyuan Yang, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, and Alex Kot, “MTL-UE: Learning to Learn Nothing for Multi-Task Learning,” International Conference on Machine Learning (ICML), 2025.
10. Yi Yu, Song Xia, Xun Lin, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot, “Backdoor Attacks against No-Reference Image Quality Assessment Models via A Scalable Trigger”, AAAI Conference on Artificial Intelligence (AAAI), 2025
- 1997: Ph.D. in Electrical Engineering, Princeton University, USA
- 1995: M.A. in Electrical Engineering, Princeton University, USA
- 1993: B.S. in Electrical Engineering, National Taiwan University, Taiwan
- 2025 The Long Service Medal, Singapore National Day Awards
- 2024 Public Administration Medal (Silver), Singapore National Day Awards
- 2023 Best Paper Award, “Deep Learning-Enabled Statistical Model Estimation for Power Transformers with Censoring and Truncation Problems,” 4th Asia Pacific Conference of Prognostics and Health Management Society, Tokyo, Japan
- 2019 Fellow of the IEEE
- 2013 Public Administration Medal (Bronze), Singapore National Day Awards
