Awards include AAAI New Faculty Highlights, Cisco Faculty Research Award, and Amazon Research Award. Papers accepted at top conferences such as AAAI 2026, TMLR, NeurIPS 2025, IJCV, EMNLP 2025 Findings, ACM MM 2025, UIST 2025, BMVC 2025, ICCV 2025, ACL 2025. Served as Area Chair for multiple top conferences including ACL ARR, AAAI/CVPR/ICLR 2026.
Research Experience
Currently an Assistant Professor in the Computer Science Department at The University of Texas at Dallas, leading the Computer Vision and Multimodal Computing (CVMC) Lab. Research highlights include: audio-visual scene understanding, audio-visual scene generation, AI for accessibility and healthcare, image and video processing.
Education
PhD from the University of Rochester, advised by Chenliang Xu; Master's degree from Tsinghua University, working with Wenming Yang; B.E. degree from Xidian University. Visiting student at SIAT, advised by Yu Qiao; internships at Adobe Research with Dingzeyu Li and Meta with Alexander Richard.
Background
Research interests include computer vision, computer audition, and machine learning. Committed to solving core problems in computer vision, computer audition, and machine learning, and applying the developed learning approaches to broad AI applications such as multisensory perception, computational photography, AR/VR, accessibility, and healthcare.
Miscellany
Personal interests include building computer vision algorithms to improve image and video quality in both automated and creative ways.