I am currently a Research Engineer at Kuaishou Technology. I received my Ph.D. in Fluid Mechanics from Peking University in 2020, advised by Prof. Yue Yang, and my B.S. in Mechanics and Economics from Peking University in 2015.
Since joining Kuaishou in 2020, my work has focused on three directions: (1) agentic coding large language models (LLMs), (2) AIGC generative video processing large models, and (3) server-side pre-processing and on-device post-processing AI algorithms. My current research focuses on LLMs, particularly agentic coding. Previously, I worked on image/video restoration, image/video generation, and image/video quality assessment. I have published 10+ papers at top-tier venues including CVPR, ICML, and ACL.
自 2020 年加入快手以来,工作聚焦于三个方向:(1)Agentic Coding 大语言模型:主导 KAT-Coder-Pro V2 模型后训练,在 Artificial Analysis Coding Index 中位列全球第六、国产第一;(2)AIGC 生成式视频处理大模型:主导研发并上线基于扩散模型的生成式视频处理大模型,在兼顾保真度的同时,显著提升视频清晰度与纹理细节丰富度,取得显著用户时长增长收益;(3)服务端前处理与移动端后处理 AI 算法:研发上线服务端视频增强修复算法,覆盖去压缩、去模糊、超分等方向;研发上线移动端 NPU/GPU 后处理算法在画质与功耗之间取得有效平衡。
News
- 2026.05: One paper accepted by ICML 2026.
- 2026.03: KAT-Coder-Pro V2 released, ranked Top 10 on the Artificial Analysis Coding Index.
- 2026.02: Two papers accepted by CVPR 2026.
- 2025.05: One paper accepted by ICML 2025.
- 2025.01: One paper accepted by AAAI 2025.
- 2024.07: Two papers accepted by ECCV 2024.
- 2024.02: Two papers accepted by CVPR 2024.
- 2020.07: Joined Kuaishou Technology as a Research Engineer.
Publications
* denotes corresponding author; † denotes project leader.
Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution
Hongbo Wang, Huaibo Huang, Pin Wang, Jinhua Hao†, Chao Zhou, Ran He
ICML 2026
Competitions
Projects
- 2026.03: Researched, developed, and launched agentic coding LLM, KAT-Coder V2, which ranked 6th globally and 1st among Chinese models on the Artificial Analysis Coding Index (as of March 31, 2026).
- 2025.08: Researched, developed, and launched diffusion-based generative large processing model, which significantly improves video clarity and texture details while preserving fidelity and delivers substantial gains in QoE.
- 2023.01: Researched, developed, and launched server-side pre-processing algorithms to intelligently reconstruct low-quality videos into high-definition outputs, improving user viewing experience and overall QoE.
- 2022.07: Researched, developed, and launched on-device post-processing algorithms optimized for mobile NPU/GPU chips, balancing model quality, and power efficiency while improving video clarity during content consumption.
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2021.12: Researched, developed, and launched video quality assessment algorithms for multi-dimensional perception, understanding, and evaluation of video quality.
- 2026.03: 研发上线大语言模型 KAT-Coder V2,在 AA Coding Index 榜单中位列全球第六、国产第一 (截至 26.03.31)。
- 2025.08: 研发上线生成式视频处理大模型 LPM,提升视频清晰度并生成纹理细节,取得了带宽收益与用户时长的双重收益。
- 2023.01: 研发上线服务端前处理算法,对低质视频进行智能高清重塑,提升用户观看体验和大盘QoE。
- 2022.07: 研发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,兼顾效果与功耗。
- 2021.12: 研发上线视频质量评估算法,实现对视频画质的多维度感知、理解和评估。
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 & 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.