Laixi Shi - Carnegie Mellon University

Laixi Shi

Ph.D. Candidate, CMU ECE

Email: laixis AT andrew DOT cmu DOT edu

Hello, I'm a fifth-year Ph.D. student in the Department of Electrical and Computer Engineering from Carnegie Mellon University (CMU). I am fortunate to be advised by Prof. Yuejie Chi. Before joining CMU, I received my bachelor's degree from Electronic Engineering, Tsinghua University in July 2018.

[2022/10/14] Selected as Rising Stars in Data Science by U Chicago, 2022.

[2022/06/13-12/16] Research Intern/Student researcher in Google Brain.

[2021/09/28] One paper accepted as NeurIPS Spotlight.

Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity

Laixi Shi and Yuejie Chi


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.
International Conference on Machine Learning (ICML), 2022.


Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation

Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
Conference on Neural Information Processing Systems (NeurIPS), 2022


Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning

Gen Li, Laixi Shi, Yuxin Chen, Yuejie Chi
Information and Inference: A Journal of the IMA. A short version accepted as [NeurIPS Spotlight] Conference on Neural Information Processing Systems (NeurIPS), 2021

[Paper] [Arxiv] [Talk] [Slides] [Poster]

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.

[Paper] [Slides] [Poster]

Robust camera pose estimation for image stitching

Laixi Shi, Dehong Liu, Jay Thornton
IEEE International Conference on Image Processing (ICIP), 2021.

[Paper] [Slides]

Latent Goal Allocation for Multi-Agent Goal-Conditioned Self-Supervised Imitation Learning

Laixi Shi*, Peide Huang*, Rui Chen*
NeurIPS Workshop on Bayesian Deep Learning, 2021 ( * = equal contribution)


Fusion-Based Digital Image Correlation Framework for Strain Measurement

Laixi Shi, Dehong Liu, Masaki Umeda, and Norihiko Hana
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021.

[Paper] [Slides]

Device-free Multiple People Localization through Floor Vibration

Laixi Shi, Mostafa Mirshekari, Jonathon Fagert, Yuejie Chi, Hae Young Noh, Pei Zhang, and Shijia Pan
First ACM Workshop on Device-Free Human Sensing, 2019.

[Paper] [Slides]

Micro Hand Gesture Recognition System Using Ultrasonic Active Sensing

Yu Sang, Laixi Shi, Yimin Liu
IEEE Access, vol. 6, pp. 49339-49347, 2018.

[Paper] [Video]

Computer Graphics: 3D Interaction Cube
Collaborative Distributed Robot Swarm
Air Hockey Robot

Non-Wearable Three-Dimensional Display and Interaction Cube Based on Multi-Screen

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.


Collaborative Distributed Formation System based on Cars/Unmanned Aerial Vehicle

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)

Air Hockey Robot

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)

Honors / Awards / Fellowships
  • UT Austin Rising Stars in Computational and Data Sciences (2023)
  • UChicago Rising Stars in Data Science (2022)
  • NeurIPS 2022 Top Reviewer (2022)
  • Leo Finzi Memorial Fellowship (2022)
  • Wei Shen and Xuehong Zhang Presidential Fellowship (2022)
  • Liang Ji-Dian Graduate Fellowship (2021)
  • Presidential Fellowship (2018)
  • Carnegie Institute of Technology Dean’s Fellowship (2018)
  • Excellent Honors Graduate granted by Tsinghua University (2018)
  • The First Prize in 35th Tsinghua University Academic Challenge Cup (2017)
  • Technology Innovation Excellence Award granted by Tsinghua University (2015-2017)
  • Enterprise Sponsored Scholarship granted by Tsinghua University (2017)
  • National Scholarship granted by the government of China (2016)
  • Qualcomm Scholarship granted by Tsinghua University (2016)
  • Outstanding Project of Undergraduate Research Competition of Tsinghua University (2016)
  • The First Prize in National Physics Contest for College Student (2015)
  • The Silver Medal of Chinese Physics Olympiad (2014)
Travel Awards
  • IAS WAM Mathematics in Machine Learning Travel Support (2022)
  • National Science Foundation (NSF) Student Travel Grants for ICASSP (2020)
  • Computing Research Association Grad Cohort for Women Travel Support (2020)
  • The ACM International Workshop on Device-Free Human Sensing Travel Grant (2019)
  • Women in Machine Learning Scholarship (2019)
  • Women in Data Science and Mathematics Travel Support (2019)