I am Xiangtai Li. I work on computer vision, multi-modal learning, and related problems.

I am working as a Senior Staff Research Scientist at ByteDance (Tiktok), Singapore.

Our team works on applications development and research for TikTok Live. Our products and models are used by TT-Live directly and have impact on billions of users.

Topics cover large language models, diffusion models, and LLM agents.

Previously, I worked as a Research Fellow at MMLab@NTU, S-Lab, advised by Prof. Chen Change Loy.

I obtained my PhD degree from Peking University (PKU) under the supervision of Prof. Yunhai Tong, and my bachelor’s degree from Beijing University of Posts and Telecommunications (BUPT).

My current research topics focus on two main aspects, LLMs and AIGC:

• LLMs: unified modeling, benchmarking, dataset pipeline building, RL-based post-training, diffusion language models, agentic learning.

• AIGC: Image/Video Editing, Controllable image/video generation, Streaming video generation.

Moreover, the code and models for my work (about 98%), including the projects I have deeply contributed to, are open-sourced on GitHub.

I serve as a regular reviewer for many conferences and journals, including CVPR, ICCV, ECCV, ICLR, AAAI, NeurIPS, ICML, IJCAI, IEEE-TIP, IEEE-TPAMI, IJCV, IEEE-TSCVT, IEEE-TMM, and IEEE-TGRS.

I also serve as an Area Chair for ICLR-2025/2026, CVPR-2026, ICML-2025/2026, ICCV-2025, NeurIPS-2025/2026, AAAI-2026/2027, WACV-2026/2027, and ECCV-2026.

In addition, I also serve as an Associate Editor for T-PAMI , Pattern Recognition, and Pattern Recognition Letters.

I am looking for strong FTEs/interns with LLM/Diffusion infra and/or AIGC background, location: Beijing and Singapore. Candidates with strong infra ability first. (ByteIntern/筋斗云实习生)

My email addresses are xiangtai94@gmail.com and xiangtai.li@bytedance.com. Feel free to contact me directly.