👋 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

Education

Shanghai Jiao Tong University   Shanghai, China   |   Sep 2021 - Mar 2024

M.Eng. in Information and Communication Engineering
Advisor: Prof. Siheng Chen and Prof. Ya Zhang

New York University   Brooklyn, NY, USA   |   Aug 2023 - Jan 2024

Visiting Research Student, Advisor: Prof. Chen Feng

Shanghai Jiao Tong University   Shanghai, China   |   Sep 2017 - Jun 2021

B.Eng. in Information Engineering, Advisor: Prof. Ya Zhang
Zhiyuan Honors Program of Engineering (Elite program for Top 5% students)

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.

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

Professional Experiences

Tencent Inc Guangying-Lab

Applied Research Intern

Jan 2021 - Jun 2021 | Shanghai, China

Related Projects

MAUC Explainable AI System: a Model-Agnostic and User-Centic Approach

Jun 2019 - Sep 2019 | Advisor: Prof. Bingsheng He & Prof. Zeyi Wen

  • Address limitations in existing Counterfactual Explanation methods on comprehensiveness, typicality, and computation efficiency.
  • Introduce iCE, which incorporates weighted k-means clustering into the CE process to generate comprehensive explanations with multiple counterfactual instances and global insights.
  • Experiments on six datasets show that iCE outperforms existing methods in terms of comprehensiveness, typicality, and computation efficiency.

AI One Image (爱玩图)

Project for Google Machine Learning Winter Camp [code] [certificate1] [certificate2]

Designed a demo named AI One Image, which contributes to matting, auto-beauty and style transfer. Completed the project using PyTorch based on U-Net, VGG, and generative CNN. Won the prize for People's Choice of Google Machine Learning Winter Camp.

Talks

Honors and Awards

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 [certificate]

2023 & 2022 | Shanghai Jiao Tong University

Second-Class Master's Academic Scholarship for the academic year 2021

2021 | Shanghai Jiao Tong University

Outstanding Graduate of Shanghai Jiao Tong University [certificate]

2021 | Shanghai Jiao Tong University

Zhiyuan Honors Scholarship [certificate]

2020 & 2019 & 2018 & 2017 | Top 5%, Zhiyuan College, Shanghai Jiao Tong University

Academic Excellence Scholarship [certificate]

2020 & 2019 & 2018 | Top 10%, Shanghai Jiao Tong University

People's Choice of Google Machine Learning Winter Camp [certificate]

2020 | China Talent & Outreach Program Team, Google

Meritorious Winner of 2018 Interdisciplinary Contest In Modeling [certificate]

2018 | Consortium for Mathematics and Its Applications

Service

Academic Reviewer
Journal: IEEE RA-L

Teaching Assistant @ Shanghai Jiao Tong University