Multimodal Intelligence
Multimodal understanding and generation through visual representation learning and unified models.
TokBench · UniTok · Liquid
Senior Research Scientist01 / About
I am a Senior Research Scientist at ByteDance, US, working on multimodal intelligence and agent learning. My current interests include multimodal understanding and generation, post-training for LLM-based agents, and self-evolving agents that learn from interaction and experience. My long-term goal is to build general-purpose AI that understands, reasons, creates, and acts.
I earned my bachelor's degree and Ph.D. at Huazhong University of Science and Technology, completing my doctoral research in the VLR Group with Prof. Xiang Bai as my advisor. From 2021 to 2025, I was a research intern at ByteDance AI Lab, working closely with Yi Jiang and Song Bai.
I’m looking for research interns interested in multimodal intelligence, agent post-training, and self-evolving agents, with opportunities in China and the US. If these directions excite you, feel free to reach out!
02 / Research
InstMove at CVPR.
Multimodal understanding and generation through visual representation learning and unified models.
TokBench · UniTok · Liquid
Post-training LLM-based agents for reasoning, tool use, and long-horizon tasks.
Agents that continually improve through interaction, feedback, and accumulated experience.
03 / Publications
ACM MM 2026 · Oral
arXiv 2026 · Preprint
NeurIPS 2025 · Spotlight
IJCV 2026 · Accepted 2025
CVPR 2024 · Highlight
ECCV 2024
CVPR 2023
ECCV 2022 · Oral
ECCV 2022 · Oral04 / Community
Contributing to the computer vision and machine learning community.
Reviewer, 2023–2025
Reviewer, 2024–2025
Journal reviewer
05 / Contact