I am a machine learning engineer at TuSimple, and our goal is to bring the first self-driving truck to market. Before that, I was a master student of Department of Electrical & Computer Engineering at University of Washington.
I am a quick learner, problem solver and team worker who has a strong passion in machine learning and computer vision, as well as system development.
05/2019, My first journal paper, Group Re-Identification with Multi-grained Matching and Integration, was accepted by IEEE Transactions on Cybernetics.
03/2019, I started my career at TuSimple as a Machine Learning Engineer.
12/2018, I got my master degree in Electrical Engineering from University of Washington.
09/2018, I received Student Travel Grant for ACM Multimedia 2018 conference, which is funded by US National Science Foundation(NSF).
07/2018, My first ‘First-Author’ paper, Group Re-Identification: Leveraging and Integrating Multi-Grain Information, was accepted as poster at ACM Multimedia 2018.
06/2018, I started my intership at TuSimple as a Machine Learning Engineer in Perception team.
06/2018, 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]
09/2017, I started my master study at University of Washington.
06/2017, I got my bachelor degree in Electrical Engineering from Shanghai Jiao Tong University.