Chenxin Li | 李宸鑫
Hi! I'm a Research Scientist at Tencent Hunyuan under the Qingyun Talent Program. I received my Ph.D. from The Chinese University of Hong Kong (CUHK).
I build agentic systems for visual coding, computer use, phone use, robot use, etc., working toward general-purpose multimodal agency.
Previously, I worked as a research intern at ByteDance Seed, Meta MSL, etc. Beyond research, I share perspectives on my blog. Feel free to reach out via email (chenxinli@link.cuhk.edu.hk) or wechat (jasonchenxinli).
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小红书
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Visual and Spatial Intelligence through Coding Agents
IR3D-Bench and Struct-to-Reason explore visual understanding through executable code and structured representations. RobotWorld and Thinking in Dynamics evaluate multimodal agents’ capabilities in physical reasoning and robot use.
Struct-to-Reason: [ Paper]
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Agent Foundation Models for Coding and Tool Use
Seed2.0 and Seed1.8 combine multimodal understanding, coding, and tool use for complex real-world workflows. UI-TARS-2 focuses on GUI-centered interaction, augmented with terminal and MCP tools.
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Recursive Self-improvement (RSI) for Agent Evaluation and Data Synthesis
Claw-Eval (Live) and On-policy Data Evolution study real-world workflow evaluation and agent data self-improvement: verifiable live tasks in Claw-Eval, and rollout-driven training-data evolution in On-policy Data Evolution.
On-policy Data Evolution: [ Project]
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Phone-use Agents: Training, Environments, and Safety
PhoneBuddy, HyMobileAgent, PhoneWorld, and PhoneHarness advance phone-use agents through open-model training, data-environment co-scaling, scalable interactive environments, and mixed CLI/GUI/MCP execution. PhoneSafety and PhonePrivacy complement this line with capability-aware safety and privacy evaluation.
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Selected Publications [Google Scholar]
* Equal contribution, † Project Leader, ‡ Corresponding author
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Thinking in Dynamics: How Multimodal Large Language Models Perceive, Track, and Reason Dynamics in Physical 4D World
Yuzhi Huang, Kairun Wen, Rongxin Gao, Dongxuan Liu, Yibin Lou, Jie Wu, …, Chenxin Li, etc.
NeurIPS 2026
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Talks
- Invited Talk at the NICE community. RobotWorld: Benchmarking Multimodal Agents for Robot Use Across Diverse Tasks and Embodiments. Oct 2026. [Post]
- Invited Talk at Shenzhen Research Institute, Tsinghua University. RobotWorld: Benchmarking Multimodal Agents for Robot Use Across Diverse Tasks and Embodiments. Oct 2026. [Post]
- Invited Talk at VALSE Summit. U-KAN Makes Strong Backbone for Visual Understanding and Generation. Jun 2025.
- Invited Talk at DAMTP, University of Cambridge. U-KAN Makes Strong Backbone for Visual Understanding and Generation. Jul 2025.
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Service
- Workshop Organizer: AIM-FM: Advancements In Foundation Models Towards Intelligent Agents (NeurIPS 2024)
- Conference Reviewer: ICLR, NeurIPS, ICML, ACL, CVPR, ICCV, ECCV, EMNLP, AAAI, ACM MM
- Journal Reviewer: Nature Machine Intelligence, PAMI, TIP, DMLR, PR, TNNLS
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Awards / Honors
- Tencent TEG 2026 H1 SEVP Award (core contributor to Agent project),2026
- NSFC Young Student Basic Research Program (Hong Kong and Macao), 国自然博士基金,2026.
- AAAI 2025 Most Influential Paper, selected by PaperDigest (2025).
- National Scholarship ×2 (2021, 2022).
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