Mar 2023: Featured in NUS News as part of the International Day of Mathematics.
Mar 2023: Paper on Covert Communication with Mismatched Decoders accepted to the IEEE Transactions on Information Theory. Joint work with former postdoc Qiaosheng Zhang. In this paper, we derive the fundamental limits of communication in the presence of covertness constraints and under mismatched decoding. Under some conditions, the achievability and converse bounds match.
Mar 2023: Invited to be an Area Chair of NeurIPS 2023.
Feb 2023: Paper on Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation accepted to CVPR 2023. Joint work with Ph.D. students Jiawei Du and Yidi Jiang. In this paper, to alleviate the adverse impact of this accumulated trajectory error in gradient matching methods in dataset distillation, we propose a novel approach that encourages the optimization algorithm to seek a flat trajectory.
Jan 2023: Posted a paper on Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits. Joint work with Ph.D. student Yunlong Hou and former Ph.D. student Zixin Zhong. In this paper, we consider the stochastic combinatorial semi-bandit problem where at each time, the agent's choices at every time instant should contain items whose sum of risks does not exceed a certain risk budget.
Dec 2022: Received 4.8/5.0 for my teaching of some tutorials of the B.Tech. module TG1401 Engineering Mathematics. See review quotes here.
Dec 2022: Paper on establishing the asymptotic Nash equilibrium for the M-ary sequential adversarial hypothesis testing game accepted to the IEEE Transactions on Information Forensics and Security. Joint work with Ph.D. student Jiachun Pan and postdoc Yonglong Li. In this paper, we derive a pair of strategies under which the asymptotic Nash equilibrium of the sequential hypothesis testing game is attained.
Dec 2022: Paper on best arm identification in restless Markov multi-armed bandits accepted to the IEEE Transactions on Information Theory. Joint work with postdocs P. N. Karthik and Srinivas Kota Reddy. In this work, we provide problem instance-dependent asymptotic bounds on the growth rate of the expected time required to find the index of the best arm where the arms evolve according to Markov chains.
Research Interests and Open Positions
Information Theory Machine Learning Statistical Signal Processing
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.