About me
I am a second-year Computer Science Ph.D. student at Johns Hopkins University, where I’m fortunate to be advised by Bloomberg Distinguished Professor Alan Yuille.
Before this, I received my B.Eng. degree from Tongji University in 2021. I have also spent great time at NIO, ByteDance and Amazon.
My research interests currently lie in the field of semi-/weakly-supervised learning and vision-and-language learning.
Interests
- Artificial Intelligence
- Computer Vision
- Machine Learning
Education
PhD in Computer Science, 2021 - Now
Johns Hopkins University
BEng in Computer Science, 2016 - 2021
Tongji University
News
03/2023: I’m looking for a summer research intern position in 2023, please contact me if you have positions available and think I’m a good match.
03/20/2022: I will join AWS as an applied scientist intern this summer.
Publications
(2023).
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models.
In ICLR 2023.
(2022).
Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles.
In CVPR 2022.
(2022).
PartImageNet: A Large, High-Quality Dataset of Parts.
In ECCV 2022.
(2021).
Robust Instance Segmentation through Reasoning about Multi-Object Occlusion.
In CVPR 2021.
(2020).
NeuroBiometric: An eye blink based biometric authentication system using an event-based neuromorphic vision sensor.
In IEEE/CAA Journal of Automatica Sinica.