2021-12-09: Our nomination "Stochastic Gradient Methods: Theory and Applications" has been selected for 2021 IBM Research Accomplishments. Thanks for the great efforts and contributions of the team with Lam M. Nguyen, Dzung Phan, Pin-Yu Chen, Tsui-Wei Weng, Jayant Kalagnanam
2021-12-03: I will serve as an Area Chair for ICML 2022 for the third consecutive year.
2021-01-24: Our paper was accepted to The 2021 American Control Conference (ACC 2021).
- "Regression Optimization for System-level Production Control" - joint work with Dzung T. Phan (IBM Research), Pavankumar Murali (IBM Research), Nhan H. Pham (UNC), Hongsheng Liu (UNC), and Jayant R. Kalagnanam (IBM Research).
2020-09-08: Our MIT-IBM proposal "Hierarchical Disentangled Representations for Scalable Multi-agent Reinforcement Learning" (with Cathy Wu (MIT) and Lily Weng (MIT-IBM Lab)) has been accepted for a one year award.
2020-08-20: One paper was accepted to ICDM 2020.
- "Pruning Deep Neural Networks with L0-constrained Optimization" - joint work with Dzung T. Phan (IBM Research), Nam H. Nguyen (IBM Research), and Jayant R. Kalagnanam (IBM Research).
2019-05-08: Won Elizabeth V. Stout Dissertation Award for my PhD thesis.
I have won the 2019 P.C. Rossin College of Engineering and Applied Science Elizabeth V. Stout Dissertation Award for my PhD thesis "A Service System with On-Demand Agents, Stochastic Gradient Algorithms and the SARAH Algorithm".
Thank for my PhD advisors Katya Scheinberg and Martin Takáč, and my previous advisor Alexander Stolyar. Also, thank for the supports of Marten van Dijk, Luis Vicente, Frank E. Curtis, and George Wilson.
2019-01-20: New paper!
- "Finite-Sum Smooth Optimization with SARAH" - joint work with Marten van Dijk (Uconn), Dzung T. Phan (IBM Research), Phuong Ha Nguyen (Uconn), Tsui-Wei (Lily) Weng (MIT), and Jayant R. Kalagnanam (IBM Research).