About Me
I am a researcher at NEC America Lab. Previously, I was a Ph.D. student at Texas A&M University supervised by Prof. Zhangyang Wang. My research interests lie in Self-Supervised (SS) Learning, Efficient Training, Indoor Scene Occlusion Reasoning, etc. His works are published at various top conferences such as NeurIPS, ICML, ICLR, CVPR, and ECCV.
Selected Publications
Professional Experience
- May - August, 2022
- Research Intern, Microsoft, Redmond, WA
Mentors: Yinpeng Chen
Research on self-supervised pre-training- Explore self-supervised methods that can combine the benefits of both Mask Image Modeling (MIM) and Contrastive Learning (CL).
- May - August, 2021
- Research Intern, Microsoft, Redmond, WA
Mentors: Luowei Zhou, Yu Cheng
Research on self-supervised transfer learning- Explore self-supervised methods with better few-shot performance via improving both pre-training and fine-tuning.
- June - November, 2020
- Research Intern, Bytedance AI Lab, Mountain View, CA
Mentors: Linjie Yang
Research on video segmentation- Explore efficient approach for video segmentation.
- June - August, 2019
- Research Intern, NEC laboratories america inc, San. Jose, CA
Mentors: Buyu, Liu
Research on indoor scene understanding- Explore better algorithms for semantic segmenation of indoor scene.