Vincent Y. F. Tan is affiliated with the National University of Singapore in Singapore. Their research primarily spans the field of Computer Science, with a focus on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Electrical and Electronic Engineering, and Computer Vision and Pattern Recognition.
The scientist's research encompasses several key topics including Advanced Bandit Algorithms Research, Wireless Communication Security Techniques, Machine Learning and Algorithms, Distributed Sensor Networks and Detection Algorithms, Adversarial Robustness in Machine Learning, Age of Information Optimization, and DNA and Biological Computing.
Vincent Y. F. Tan has authored numerous papers, including recent publications such as "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning" (2022) published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), "Efficient Sharpness-aware Minimization for Improved Training of Neural Networks" (2021) in arXiv (Cornell University), "On Exact and ∞-Rényi Common Informations" (2020) in IEEE Transactions on Information Theory, "Common Information, Noise Stability, and Their Extensions" (2022) in Foundations and Trends® in Communications and Information Theory, and "A hybrid genetic search and dynamic programming-based split algorithm for the multi-trip time-dependent vehicle routing problem" (2024) in the European Journal of Operational Research.
Frequent coauthors of Vincent Y. F. Tan include Jiashi Feng, Qiaosheng Zhang, Yonglong Li, P. N. Karthik, and Hanshu Yan.
The scientist has published extensively in venues such as arXiv (Cornell University), IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, Proceedings of the AAAI Conference on Artificial Intelligence, and the 2022 IEEE International Symposium on Information Theory (ISIT).
Angela Simpson;Vincent Y. F. Tan;John Winn;Markus Svensén
V. Y. F. Tan;C. Fevotte
Myung Jin Choi;Vincent Y. F. Tan;Animashree Anandkumar;Alan S. Willsky
Vincent Y. F. Tan
Vincent Yan Fu Tan;Marco Tomamichel
Vincent Y. F. Tan;Oliver Kosut
Animashree Anandkumar;Vincent Y. F. Tan;Furong Huang;Alan S. Willsky
Animashree Anandkumar;Vincent Y. F. Tan;Furong Huang;Alan S. Willsky
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Marco Tomamichel;Vincent Y. F. Tan
Vincent Y F Tan;Animashree Anandkumar;Lang Tong;Alan S Willsky
Vincent Y. F. Tan;Si-Hyeon Lee
Shun Watanabe;Shigeaki Kuzuoka;Vincent Y. F. Tan
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Gang Yang;Vincent Y. F. Tan;Chin Keong Ho;See Ho Ting
Vincent Y. F. Tan;Cédric Févotte
Jiachun Liao;Lalitha Sankar;Flavio P. Calmon;Vincent Y. F. Tan
Marco Tomamichel;Marco Tomamichel;Vincent Y. F. Tan
Christopher T. Chubb;Vincent Y. F. Tan;Marco Tomamichel
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Mladen Kovacevic;Vincent Y. F. Tan
V.Y.F. Tan;V.K. Goyal
Vincent Y F Tan;Animashree Anandkumar;Alan S Willsky
Mladen Kovacevic;Vincent Y. F. Tan
Jiachun Liao;Lalitha Sankar;Vincent Y. F. Tan;Flavio du Pin Calmon
Animashree Anandkumar;Vincent Y. F. Tan;Furong Huang;Alan S. Willsky
Hanshu Yan;Jiawei Du;Vincent Y. F. Tan;Jiashi Feng
Shun Watanabe;Shigeaki Kuzuoka;Vincent Y. F. Tan
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