Engineer, Researcher, and Entrepreneur
New
Try Everlyn.ai
The fastest video generation model we built, featuring state-of-the-art motion, long and multi-shot video, audio support, and free text-to-image generation.
I am a Professor at HKUST AMC and a Visiting Professor at Yale University. My research focuses on advancing AGI, particularly in image and video generation. I am also interested in distributed systems, privacy, efficiency, and the intersection of AI and Web3. Previously, I worked at Meta as a Research Scientist. I am also the co-founder of Everlyn. I earned PhD in computer science from USC and completed my undergraduate studies at USTC (SCGY). I am honored to be a recipient of the USC Distinguished Alumni Award.
News
Students & Interns
Team & Collaborators
July 2025
- “Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments”, first-authored by my PhD student Zihao Wang, has been accepted to COLM 2025.
- Internship placements: Congratulations to my first-year PhD students for securing research internships at Kuaishou (Kling), Tencent, and Bytedance.
June 2025
- “An Integrated Framework for Autoregressive Video Generation and Understanding”, for which I serve as Principal Investigator, has been awarded funding under the GRF/ECS 2025-26 scheme.
- Two papers accepted to ICCV 2025:
- “DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Poses” (with Yatian as my intern)
- “Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models” (with my PhD students Xuran, Yexin, and Yaofu)
- Serving as Area Chair for AAAI-26.
- Serving as Associate Editor for APSCNNIPA Transactions on Signal and Information Processing.
- Visiting Meta AI, New York.
- Interviewed by RTHK on GenAI and video generation, discussing applications in Hong Kong local community. (Cantonese)
- Interviewed by CNN on Embodied AI, discussing the current status, challenges, and future directions.
February 2025
January 2025
Paper Highlights
December 2024
- Our video project was approved for the HKSTP Incubation Program (3 years).
- Meta-Learning for Speeding Up Large Model Inference (AAAI DAI Workshop)
- Project funded by TSSSU-O.
- Towards Secure and Private AI: A Framework for Decentralized Inference (NeurIPS Workshop on RBFM)
November 2024
- Delivered a talk at DevCon Bangkok.
September 2024
- Visited Abu Dhabi and met with the Royal Family to discuss collaboration.
- Delivered a talk in Singapore at Token2049.
August 2024
- Hosted a roundtable at Foresight 2024 in Hong Kong.
- Invited as a panel speaker at ABS 2024 in Taipei.
- Visited CUHKSZ.
April 2024
- Foresight interview.
- Invited as a panel speaker at the Harvard Blockchain Conference 2024.
March 2024
- Our project was selected by Binance Labs for incubation.
Zihao Wang
Yexin Liu
Xuran Ma
Weixiao Wang
Mingzhe Zheng
Xianfeng Wu
Yajing Bai
Wenjie Shu
Haoze Zheng
Harold Chen
Yatian Pang (with Li Yuan)
Feilong Tang
Bin Ma
Sen Liang
Yuxiang Lin
Zhefan Rao (with Qifeng Chen)
Xin Yang (with Qifeng Chen)
Yiyu Zhuang
Dongli Xu
Qiang Sun
Ser-Nam Lim
Xiaofeng Liu
Yue Zhao
Hongyang Zhang
Xiaofan Liu
Yaoheng Yang
Benyou Wang
Ailing Zeng
Li Yuan
Hao Li
Qifeng Chen