Weijie Lyu

I am a first year EECS Ph.D. student at University of California, Merced, advised by Prof. Ming-Hsuan Yang.

I obtained my Master of Science in Computer Science degree from University of Illinois at Urbana-Champaign, advised by Prof. Derek Hoiem. I was also fortunate to work with Prof. Bo Li.

I received my Bachelor of Engineering degree from ShanghaiTech University, majoring in Computer Science and Technology. I spent my junior year as an exchange student and undergraduate researcher at UC Berkeley.

Email  /  Google Scholar  /  GitHub  /  LinkedIn

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Research
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
Chejian Xu*, Wenhao Ding*, Weijie Lyu, Zuxin Liu,
Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li
NeurIPS 2022
project page / arXiv / poster / code

A benchmark which systematically evaluates the safety and robustness of autonomous driving algorithms under diverse testing scenarios and provides comprehensive evaluation metrics.

CircuitBot: Learning to survive with robotic circuit drawing
Xianglong Tan, Weijie Lyu, Andre Rosendo
PLOS ONE
paper

A robot which can construct an electrical path to access energy from a power source while avoiding potential obstacles and controlling the charging voltage.

Academic Services

Reviewer for NeurIPS 2022

Teaching

CSE 158 Introduction to Computer Vision, Fall 2023

CS 441 Applied Machine Learning, Spring 2023

CS 100 Computer Science Orientation, Fall 2022

CS 150 Database and Data Mining, Fall 2020

 

Updated in Oct. 2022. Template from Jon Barron