I am a Research Engineer working on foundation models at Kling AI, Kuaishou Technology. I received my Ph.D. in Fluid Mechanics from Peking University in 2020 under the supervision of Prof. Yue Yang, and was named an Outstanding Graduate. Admitted to Peking University through the Chinese Physics Olympiad (CPhO), I earned B.S. degrees in Mechanics and Economics in 2015.

I joined Kuaishou through its KuaiStar Top Talent Program in 2020 and have received top performance ratings for five consecutive years. I have end-to-end experience training hundred-billion-parameter foundation models and have published 15+ papers at leading venues, including ICML, CVPR, ECCV, and AAAI. My research interests include agentic coding LLMs, video generation models, and Physical AI and embodied intelligence, building on my earlier work in image/video processing, restoration, and enhancement. For detailed explanations of my research, models, and paper results, explore my Research Notes.

现任快手可灵 AI 大模型算法工程师。2020 年通过快Star顶尖人才计划加入快手,连续五年取得 Top 绩效。在 ICML、CVPR、ECCV、AAAI 等顶级会议发表论文 15+ 篇。关于研究工作、模型与论文结果的详细介绍,请参阅 研究。

News

  • 2026.09: Explore my new Research Notes: paper stories on language models, generative AI, image restoration, and fluid dynamics.
  • 2026.07: Open-sourced KAT-Coder-V2.5-Dev, a lightweight 35B-A3B MoE model with over 3M cumulative Hugging Face downloads.
  • 2026.07: Released KAT-Coder-Pro V2.5, a trillion-parameter coding LLM approaching GLM-5.2 and Claude Opus 4.8.
  • 2026.06: One paper accepted to ECCV 2026.
  • 2026.05: One paper accepted to ICML 2026.
  • 2026.03: KAT-Coder-Pro V2 released, ranked Top 10 on the Artificial Analysis Coding Index.
  • 2026.02: Two papers accepted to CVPR 2026, one selected as Highlight.
  • 2025.05: One paper accepted to ICML 2025.
  • 2025.01: One paper accepted to AAAI 2025.
  • 2024.07: Two papers accepted to ECCV 2024.
  • 2024.02: Two papers accepted to CVPR 2024.

Models

KAT-Coder-V2.5

Trillion-parameter coding intelligence.

  • Trillion-parameter coding model, surpassing GLM-5.1 and approaching GLM-5.2.
  • 65.2% on SWE-bench Pro, compared with Claude Opus 4.8 at 69.2%.
  • 94.2% on PinchBench, compared with Claude Opus 4.8 at 93.5%.
Explore model

KAT-Coder-V2

Reliable software engineering.

  • Ranked 6th on the Artificial Analysis Coding Index in March 2026.
  • 79.6% on SWE-bench Verified, close to Claude Opus 4.6 at 80.8%.
  • 88.7% on PinchBench, surpassing GLM-5 and MiniMax M2.7.
Explore model

Publications

* denotes corresponding author; † denotes project leader.

Competitions

Projects

  • 2026.07: 研发并上线代码大语言模型 KAT-Coder-V2.5,性能接近 GLM-5.2 和 Claude Opus 4.8;同步开源轻量版 KAT-Coder-V2.5-Dev,原模型与社区量化版累计下载超 300 万(截至 2026 年 9 月 28 日),获得了积极的社区反馈。Developed and deployed KAT-Coder-V2.5, a coding LLM with performance approaching GLM-5.2 and Claude Opus 4.8, and open-sourced its lightweight variant, KAT-Coder-V2.5-Dev. Cumulative Hugging Face downloads across the original model and community quantizations surpassed 3M (verified September 28, 2026), and the release received positive community feedback. Hugging Face News
  • 2026.03: 研发并上线大语言模型 KAT-Coder V2,在 Artificial Analysis Coding Index 中位列全球第六、国产模型第一(截至 2026 年 3 月 31 日)。Developed and deployed KAT-Coder V2, an agentic coding LLM that ranked sixth globally and first among Chinese models on the Artificial Analysis Coding Index (as of March 31, 2026). News
  • 2025.08: 研发并上线生成式视频处理大模型 LPM,在保持保真度的同时提升视频清晰度并生成纹理细节,取得带宽效率与用户观看时长的双重收益。Developed and deployed LPM, a diffusion-based generative video processing model that improves video clarity and generates texture detail while preserving fidelity, delivering gains in both bandwidth efficiency and user watch time. News
  • 2023.01: 研发并上线服务端预处理算法,将低质视频智能重塑为高清输出,提升用户观看体验和整体 QoE。Developed and deployed server-side preprocessing algorithms that intelligently restore low-quality videos to high-definition outputs, improving the viewing experience and overall QoE. News
  • 2022.07: 研发并上线移动端后处理算法,提升用户播放视频清晰度;面向 NPU/GPU 芯片优化算法,兼顾视觉效果与功耗。Developed and deployed on-device post-processing algorithms optimized for mobile NPU/GPU hardware, improving playback clarity while balancing visual quality and power efficiency. News
  • 2021.12: 研发并上线视频质量评估算法,实现对视频画质的多维度感知、理解与评估。Developed and deployed video quality assessment algorithms that analyze video quality across multiple perceptual dimensions. News

Honors

  • 2024, 2026: 快手优秀项目奖(2 次)Kuaishou Outstanding Project Award (twice)
  • 2023, 2024, 2025: 快手音视频个人荣誉奖(3 次)Kuaishou Audio and Video Outstanding Individual Award (three times)
  • 2023: 快手洛子峰奖(2 次)Kuaishou Lhotse Award (twice)
  • 2022, 2023: 快手乔戈里奖(2 次)Kuaishou Chogori Award (twice)
  • 2020: 快手“快Star”特别技术人才计划(Top 1%)Kuaishou “KuaiStar” Special Technical Talent Program (Top 1%)
  • 2020: 北京大学优秀毕业生(Top 1%)Peking University Outstanding Graduate (Top 1%)
  • 2015, 2016, 2017, 2019: 北京大学校长奖学金(Top 1%)Peking University President’s Scholarship (Top 1%)

Education

  • 2015.09 - 2020.06, Ph.D. in Fluid Mechanics, Peking University, Beijing.
  • 2011.09 - 2015.06, B.S. in Mechanics, Peking University, Beijing.