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

Vincent Tan

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

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

On Sabbatical at IORA in AY 2022/23

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

My Curriculum Vitae.
My Google Scholar Profile.
My Erdős number is 3 (Tan -> Willsky -> Bollobás -> Erdős).

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. Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
    Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, and Zhaoran Wang
    Proc. of the 36th Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, Dec 2022

  2. Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits
    Junwen Yang and Vincent Y. F. Tan
    Proc. of the 36th Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, Dec 2022

  3. Sharpness-Aware Training for Free
    Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, and Joey Tianyi Zhou
    Proc. of the 36th Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, Dec 2022

  4. Exact Recovery in the General Hypergraph Stochastic Block Model
    Qiaosheng (Eric) Zhang and Vincent Y. F. Tan
    IEEE Transactions on Information Theory, 2022+

  5. Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning
    Haiyun He, Hanshu Yan, and Vincent Y. F. Tan
    Journal of Machine Learning Research, Vol. 23, No. 287, Pages 1 - 52, 2022

Oldies But Goldies

  1. Information Spectrum Approach to Strong Converse Theorems for Degraded Wiretap Channels
    Vincent Y. F. Tan and Matthieu R. Bloch
    IEEE Transactions on Information Forensics and Security, Vol. 10, No. 9, Pages 1891 - 1904, Sep 2015

  2. Asymptotic Estimates in Information Theory with Non-Vanishing Error Probabilities
    Vincent Y. F. Tan
    Foundations and Trends® in Communications and Information Theory, Vol. 11, Nos. 1-2, Pages 1 – 184, 2014

  3. Automatic Relevance Determination in Nonnegative Matrix Factorization with the β-Divergence [Slides] [Code]
    Vincent Y. F. Tan and Cédric Févotte
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, No. 7, Pages 1592 - 1605, Jul 2013

  4. A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures [Slides]
    Vincent Y. F. Tan, Animashree Anandkumar, Lang Tong and Alan S. Willsky
    IEEE Transactions on Information Theory, Vol. 57, No. 3, Pages 1714 - 1735, Mar 2011

  5. Estimating Signals with Finite Rate of Innovation from Noisy Samples: A Stochastic Algorithm [Code]
    Vincent Y. F. Tan and Vivek K Goyal
    IEEE Transactions on Signal Processing, Vol. 56, Issue 10, No. 5135 - 5145, Oct 2008