At present, I'm a Ph.D. student in the Department of Electrical and Computer Engineering of Carnegie Mellon University. I am fortunate to be advised by Prof.Yuejie Chi. I received my bachelor's degree from Electronic Engineering, Tsinghua University in July 2018. Here is my short CV.
My research interests include signal processing, nonconvex optimization, high-dimensional statistical estimation and reinforcement learning, ranging from theory to applications.
News & Updates
[2021/11/01] One paper accepted at NeurIPS Workshop on Bayesian Deep Learning.
[2021/09/28] One paper accepted as NeurIPS Spotlight.
[2020/05/18-08/21] Internship in Mitsubishi Electric Research Laboratories (MERL) from May to August.
Preprints & Publications
Settling the Sample Complexity of Model-Based Offline Reinforcement Learning
Gen Li, Laixi Shi, Yuxin Chen, Yuejie Chi,Yuting Wei
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity
Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
Manifold Gradient Descent Solves Multi-channel Sparse Blind Deconvolution Provably and Efficiently
Laixi Shi, Yuejie Chi
IEEE Transactions on Information Theory, vol. 67, no. 7, pp. 4784-4811, 2021. A short conference version has been accepted by International Conference on Acoustics, Speech, and Signal ProcessingInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.
Nov 1, 2016. Advisor: Huimin Ma, Tsinghua University, Beijing, China.
We designed a real-time virtual reality cubic interaction metaphor, arranged 5 LED panels into a cube to create a 3D object illusion, utilizing binocular vision to track user’s eyes and rendering the perspective of each screen to fit the user’s eyes positions.
Jul 18, 2016. Advisor: Yuan Shen, Tsinghua University, Beijing, China
We developed a multiple robot collaborative localization and navigation system using a self-made mobile robot platform. The robots in our system are equipped with a wireless distributed localization system based on UWB(Ultra Wide Band), which enables them automatically to form a pre-defined formation with mutual localization information. (Image from my collaborator Wenhao Ding)
Jun 13, 2015, Tsinghua University, Beijing, China
We built a robot to play air-hockey game with human, which is a popular table game. This robot consists of a bird-view camera (capturing the images of moving ball) and an executive arm (a striking device with two degrees of freedom). (Image from my collaborator Wenhao Ding)