Computer Vision
Reasoning about complete scenes when observations are occluded, ambiguous, or incomplete.
- Amodal segmentation and complex occlusion understanding
- Vision-language models for visual reasoning
Computer Vision · AI for Science
Singapore
I am a Research Fellow in the College of Computing and Data Science (CCDS) at Nanyang Technological University, collaborating with Prof. Weisi Lin. I received my Ph.D. degree at the National Engineering Research Center of Visual Technology (NERCVT), Peking University in 2023, supervised by Prof. Tiejun Huang and Assoc. Prof. Tingting Jiang. I received my B.E. degree from Tianjin University in 2018, supervised by Prof. Pengfei Zhu and Prof. Di Jin.
Research map
My research spans artificial intelligence, computer vision, and deep learning across two connected directions.
Reasoning about complete scenes when observations are occluded, ambiguous, or incomplete.
Learning structured signals across time and space for scientific decision-making.
Selected work
Trajectory
2024.03 — Present
College of Computing and Data Science, Nanyang Technological University · Singapore
2018.09 — 2023.07
School of Computer Science, Peking University · Beijing, China
2014.09 — 2018.07
School of Computer Science, Tianjin University · Outstanding Graduates · Tianjin, China
Academic community
Journal reviewer
IEEE TNNLS · IEEE TCSVT · ACM JATS · JVCI · IMAVIS
Conference reviewer
CVPR · ICCV · ECCV · AAAI · ICLR · ACM MM · ICASSP · ICPR