Vincent Y. F. Tan 陈延福 (Pronouns: he/him/his/他)

Vincent Tan

Associate Professor (Dean's Chair),
Singapore National Research Foundation (NRF) Fellow,
Department of Mathematics,
Department of Electrical and Computer Engineering (ECE),
National University of Singapore (NUS)

Affiliate,
Institute of Data Science (IDS),
Institute of Operations Research and Analytics (IORA).

On Sabbatical at the Institute of Operations Research and Analytics (IORA)

Office: E4-06-06 (ECE) and S17-05-20 (Mathematics)
Phone: (65) 6516-2133 and (65) 6516-2770
Email: vtan @ nus. edu. sg

My Curriculum Vitae.

My Google Scholar Profile.

News (Archive)

Research Interests and Open Positions

Information Theory
Machine Learning
Statistical Signal Processing

I am actively recruiting graduate students in the areas of my research interest above. There are various channels to be admitted to NUS including to the Faculty of Engineering, the Faculty of Science, the Institute of Operations Research and Analytics, the Institute of Data Science, or the Asian Institute of Digital Finance.

There are also multiple positions for talented postdoctoral scholars. Postdoctoral scholars with strong publication records and showing interest in the above research topics are also encouraged to contact me to check with me if there are available positions. Please see this advertisement as well as this.

Selected Recent Publications

  1. Common Information, Noise Stability, and Their Extensions
    Lei Yu and Vincent Y. F. Tan
    Foundations and Trends® in Communications and Information Theory, Vol. 19, No. 2, Pages 107 - 389, 2022
    [Amazon] [Slides] [Video 1] [Video 2] [Video 3]

  2. Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
    Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip Torr, Song Bai, and Vincent Y. F. Tan
    Proc. of the Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, Jun 2022 (AR: 2067/8161 ≈ 25.33%)

  3. Optimal Adaptive Strategies for Sequential Quantum Hypothesis Testing
    Yonglong Li, Vincent Y. F. Tan, and Marco Tomamichel
    Communications in Mathematical Physics, Vol. 392, Issue 3, 993 - 1027, Jun 2022

  4. Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
    Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, and Vincent Y. F. Tan
    Proc. of the 10th International Conference on Learning Representations (ICLR), Virtual, Apr 2022 (AR: 1095/3391 ≈ 32.3%)

  5. Tight Regret Bounds for Noisy Optimization of a Brownian Motion
    Zexin Wang, Vincent Y. F. Tan, and Jonathan Scarlett
    IEEE Transactions on Signal Processing, Vol. 70, Pages 1072 - 1087, Jan 2022