👋 Hello, I'm Sizhe Wei, an incoming Robotics PhD student advised by Prof. Lu Gan at Georgia Tech, starting in Fall 2024.
My academic journey began with a B.Eng in Information Engineering and continued with an M.Eng in Information and Communication Engineering, both from Shanghai Jiao Tong University (SJTU). I graduated with honors as an outstanding graduate in 2021 and 2024. During my master's, I delved into multi-agent collaboration under the guidance of Siheng Chen and Ya Zhang. My research journey has been enriched by two visiting experiences; in summer 2019, I explored explainable AI at National University of Singapore (NUS) with Bingsheng He and Zeyi Wen, and in fall 2023, I worked on weakly-supervised 3D perception at New York University (NYU), advised by Chen Feng.
My research is dedicated to collaborative perception and prediction, aiming to improve teamwork among autonomous vehicles and robots. I am also venturing into multi-modal Large Language Models (MLLMs) and their applications in robotics. For discussions or collaborations, feel free to drop me an email!
News
- 01/2024: 🐝 I've accepted my Robotics PhD offer at Georgia Tech, see you at Atlanta this fall!!!
- 10/2023: Recipient of the NeurIPS 2023 Scholar Award. Many thanks!
- 09/2023: 🔥 Our work on "Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow" is accepted to NeurIPS 2023.
Education
![](assets/images/sjtu.png)
Shanghai Jiao Tong University Shanghai, China | Sep 2021 - Mar 2024
M.S. in Information and Communication Engineering
Advisor: Prof. Siheng Chen and Prof. Ya Zhang
![](assets/images/nyu.png)
New York University Brooklyn, NY, USA | Aug 2023 - Jan 2024
Visiting Research Student, Advisor: Prof. Chen Feng
![](assets/images/sjtu.png)
Shanghai Jiao Tong University Shanghai, China | Sep 2017 - Jun 2021
B.Eng. in Information Engineering, Advisor: Prof. Ya Zhang
![](assets/images/nus.jpg)
National University of Singapore Singapore | Jun 2019 - Oct 2019
Visiting Research Student, Advisor: Prof. Bingsheng He and Prof. Zeyi Wen
Publications
† : Equal contribution. * : Corresponding author.
![](assets/files/pubs/cobevflow/teaser.png)
Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow
Sizhe Wei†,
Yuxi Wei†,
Yue Hu,
Yifan Lu,
Yiqi Zhong,
Siheng Chen*,
Ya Zhang*
Conference on Neural Information Processing Systems (NeurIPS), 2023
Project Page | Model & Code | Paper
Talks
- [Dec 2023] CoBEVFlow:解决车-车/路协同感知的时序异步问题 at TechBeat (Chinese) [YouTube]
- [Oct 2023] Paper Sharing at AI Time (Chinese) [Bilibili]
Honors and Awards
- Outstanding Graduate of Shanghai Jiao Tong University
2024 | Shanghai Jiao Tong University - China's Optics Valley Scholarship
2023 | 3/160, Donghu New Technology Development Zone - NeurIPS Scholar Award
2023 | Neural Information Processing Systems - First-Class Master's Academic Scholarship
2023 & 2022 | Shanghai Jiao Tong University - Second-Class Master's Academic Scholarship
2021 | Shanghai Jiao Tong University - Outstanding Graduate of Shanghai Jiao Tong University
2021 | Shanghai Jiao Tong University - Zhiyuan Honors Scholarship
2020 & 2019 & 2018 & 2017 | Top 5%, Zhiyuan College, Shanghai Jiao Tong University - Academic Excellence Scholarship
2020 & 2019 & 2018 | Top 10%, Shanghai Jiao Tong University - People's Choice of Google Machine Learning Winter Camp
2020 | China Talent & Outreach Program Team, Google - Meritorious Winner of 2018 Interdisciplinary Contest In Modeling
2018 | Consortium for Mathematics and Its Applications
Service
Academic ReviewerJournal: IEEE RA-L
Teaching Assistant @ Shanghai Jiao Tong University
- CS 0501H: Data Structures (Honors), 2023 Spring
- CS 1581H: Computer Programming (Honors), 2022 Fall
- CS 1501: Thinking and Methodology in Programming(C++), 2021 Fall
- CS 157: Thinking and Approach of Programming (Honors), 2020 Fall
- CS 158: Data Structures (Honors), 2019 Spring