About me
I’m a final-year PhD student at the Chinese University of Hong Kong, Shenzhen, under the supervision of Prof. Xiaoying Tang. I’m also co-supervised (remotely) by Prof. Tao Lin at Westlake University. Prior to this, I received my Bachelor of Engineering degree from the College of Software Engineering at Nankai University.
Research Interests
- Learning in Non-stationary and Heterogeneous Environments (2020 - 2023, at CUHKSZ);
- Federated Learning;
- Domain Generalization and Adaptation;
- Distributed Optimization;
- Training and Inference Efficiency of Transformer Models (2023 - present, at CUHKSZ);
- Mixture of Experts
- Multi-Modal Large Language Models (2024 - present, at Tencent PCG);
- Video Temporal Grounding;
- Video Captioning;
- Any-Modal to Any Modal Models;
News
Jan 23, 2025, Three papers about clustered FL, mixture of experts, and video temporal grounding were accepted to ICLR 2025.
Mar 18, 2024, Join tencent as research intern.
Sep 22, 2023, One co-authored paper was accepted to NeurIPS 2023.
Contact
- Email: yongxinguo@link.cuhk.edu.cn