Real-time audio-video understanding
Algorithms for understanding live media under strict real-time constraints, with emphasis on robustness and practical utility.
I am a researcher and algorithm engineer with a background that combines academic research, industrial R&D, and product-facing algorithm work in large-scale real-time audio-video understanding, computer vision, and multimodal AI.
Experience
Current
Algorithm Engineer, TikTok
Leading core algorithm work in large-scale audio-video understanding and multimodal intelligence for global content products.
Previous role
Senior Computer Vision Algorithm Engineer, YY Live (Baidu Group)
Led key algorithm directions in livestream understanding, real-time media AI, and creator-facing visual intelligence.
Earlier role
Staff Researcher, Lenovo Machine Intelligence Center
Applied computer vision research, reusable vision platforms, and intelligent system prototyping.
Selected Algorithm Areas
A high-level summary of the algorithm areas I have worked on, without exposing sensitive implementation details.
Multimodal content understanding
Methods for richer interpretation of audio-video content through multimodal reasoning and perception.
Generative media directions
Selected work on problems where generation, understanding, and visual media enhancement need to work together.
Applied computer vision research
Research and development across visual understanding, multimedia intelligence, and related perception problems.
Education
Hong Kong Baptist University
Ph.D. in Computer Science, 2018
South China University of Technology
B.Eng. in Computer Science and Technology, 2013
Michigan State University
Visiting Scholar, Pattern Recognition and Image Processing Lab
Research areas
Real-time audio-video understanding, multimodal LLMs, livestream intelligence, generative design, and applied computer vision.
Professional Service
- IEEE TPAMI
- IEEE TIFS
- IEEE TIP
- IEEE TCYB
- Pattern Recognition
- IEEE/CAA Journal of Automatica Sinica
- ICME
- ICPR
- ICASSP
Teaching and Recognition
Teaching assistance
Courses include Web Intelligence and Information & Knowledge Management at Hong Kong Baptist University.
Selected recognition
Excellent Teaching Assistant Performance Award, 2017.
Programming contest
Third Runner-up Award, ACM Hong Kong Collegiate Programming Contest, 2014.
Research profiles
Google Scholar, OpenReview, ORCID, and LinkedIn provide the most current public record.