Laixi Shi - Carnegie Mellon University


Laixi Shi

Ph.D. Candidate, CMU ECE

Email: laixis AT andrew DOT cmu DOT edu

Bio

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.

News

[2023/08/21] Computing, Data, and Society Postdoctoral Fellow at Caltech.

[2023/05/25] A new preprint about robust RL has been released.

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

Research Interests

Selected Preprints & Publications

The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model

Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi

[Paper]

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

Laixi Shi and Yuejie Chi

[Paper]

Settling the Sample Complexity of Model-Based Offline Reinforcement Learning

Gen Li, Laixi Shi, Yuxin Chen, Yuejie Chi, Yuting Wei

[Paper]

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.

[Paper]

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

[Paper]

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)

[Paper]

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]

Projects

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.

[Video]


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)


Awards

Honors / Awards / Fellowships
  • Computing, Data, and Society Postdoctoral Fellow by Caltech (2023)
  • ICASSP Rising Stars in Signal Processing (2023)
  • 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 granted by Carnegie Mellon University (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)