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 and image/video generation. I have published 10+ papers at top-tier venues including CVPR, ICML, ECCV, and AAAI.
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。
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 a diffusion-based generative large video 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 enhancing video quality during playback.
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 Artificial Analysis Coding Index 中位列全球第六、国产第一(截至 2026.03.31)。