I'm Sizhe Wei, a visiting research student at New York University (NYU), supervised by Prof. Chen Feng.

I am completing my M.Eng in Information and Communication Engineering under the guidance of Prof. Siheng Chen and Prof. Ya Zhang at Shanghai Jiao Tong University (SJTU), where I obtained my B.Eng in Information Engineering in 2021 with the honor of outstanding graduate.

My research focuses on multi-agent cooperative perception improving teamwork among self-driving vehicles and robots. My project experience includes object detection, tracking, and multi-agent prediction. I also possess expertise in graph signal processing and graph neural networks.

News

Education

New York University Brooklyn, NY, USA | Aug 2023 - Present

Visiting Research Student, Advisor: Prof. Chen Feng

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

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

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.

Robust Asynchronous Collaborative 3D Detection 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
Paper and Code (Comming Soon)

Professional Experiences

Tencent GY-LAB

Applied Research Intern

Jan 2021 - Jun 2021 | Shanghai, China

Cooperative Medianet Innovation Center

Undergrad Research Assistant, supervised by Prof. Ya Zhang

Sep 2020 - Jun 2021 | Shanghai Jiao Tong University, China

Google ML Winter Camp, Shanghai

Selected as one of 102 participants nationwide for Google Machine Learning Winter Camp

Jan 2020 | Google Information Technology (China) Company Limited, 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

  • Propose iCE, which innovatively includes WKmeans in the pipeline of generating counterfactual explanations.
  • Provide a set of counterfactual instances with necessary desiderata of counterfactuals.
  • Perform extensive evaluation on six datasets to demonstrate that iCE outperforms the existing solutions.

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.

Honors and Scholarships

First-Class Master's Academic Scholarship

2022 | 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 (Third-Class) of Shanghai Jiao Tong University [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

Teaching Assistant

Shanghai Jiao Tong University