I am a senior research engineer specializing in computer vision and machine learning, with over five years of experience in autonomous driving technology. Currently, I work at NVIDIA, where I focus on developing state-of-the-art 3D bird’s-eye view detection and object tracking algorithms for autonomous vehicles. Previously, I was a Senior Research Engineer at TuSimple, where I built the company’s first motion prediction system and led projects that achieved the world’s first “driver out” pilot program.

I hold a Master’s degree in Electrical Engineering from the University of Washington, where I worked under Prof. Jenq-Neng Hwang, and a Bachelor’s degree from Shanghai Jiao Tong University, where I was guided by Prof. Weiyao Lin. My research has been published in leading conferences and journals, including CVPR, ICRA and ACM MM, and I have several pending patents in autonomous vehicle technology.

My expertise includes computer vision, deep learning, perception, prediction, and planning systems. I have a strong track record of developing innovative solutions and leading projects that push the boundaries of autonomous driving. My goal is to continue advancing the field of autonomous technology, making transportation safer and more efficient for everyone.

What’s new

[Feb. 2024] I started a new career as a Senior Machine Learning Engineer at NVIDIA.

[Jan. 2024] My paper Multi-Granular Transformer for Motion Prediction with LiDAR was accepted by ICRA 2024.

[Sep. 2023] The team I led achieved the 1st place of Motion Prediction track of the 2023 Waymo Open Dataset Challenge. Method name: MGTR_ens (Our emsemble model) & MGTR (Our single model) Challenge leaderboard

[Dec. 2021] TuSimple successfully completed the world’s first fully autonomous semi-truck run on open public roads without a human in the vehicle and without human intervention. Link

[Apr. 2021] TuSimple went public on Nasdaq! Link

[May. 2019] My first journal paper, Group Re-Identification with Multi-grained Matching and Integration, was accepted by IEEE Transactions on Cybernetics.

[Mar. 2019] I started my first career at TuSimple as a Machine Learning Engineer.

[Dec. 2018] I got my master degree in Electrical Engineering from University of Washington.

[Sep. 2018] I received Student Travel Grant for ACM Multimedia 2018 conference, which is funded by US National Science Foundation(NSF).

[Jul. 2018] My first ‘First-Author’ paper, Group Re-Identification: Leveraging and Integrating Multi-Grain Information, was accepted as poster at ACM Multimedia 2018.

[Jun. 2018] I started my intership at TuSimple as a Machine Learning Engineer in Perception team.

[Jun. 2018] Our UW team won Track 1 & Track 3 at the NVIDIA AI City Challenge Workshop at CVPR 2018. My first paper, Single-camera and inter-camera vehicle tracking and 3D speed estimation based on fusion of visual and semantic features, was accepted. [Link]

[Sep. 2017] I started my master study at University of Washington.

[Jun. 2017] I got my bachelor degree in Electrical Engineering from Shanghai Jiao Tong University.