Kun Gai

Instructor, Kuaishou- 快手科技

3 papers at NeurIPS 2025

OpenReview· Semantic Scholar· Google Scholar

Poster Session 2

Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM

Improving Video Generation with Human Feedback

#4301 · Jie Liu, Gongye Liu, Jiajun Liang, Ziyang Yuan, Xiaokun Liu, Mingwu Zheng, Xiele Wu, Qiulin Wang, Menghan Xia, Xintao Wang, Xiaohong Liu, Fei Yang, Pengfei Wan, Di ZHANG, Kun Gai, Yujiu Yang, Wanli Ouyang

This paper presents a systematic pipeline for improving video generation with human feedback, including a large-scale preference dataset, a video reward model, and three alignment algorithms for flow matching models.

Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation

#2413 · Guoqing Hu, An Zhang, Shuchang Liu, Wenyu Mao, Jiancan Wu, Xun Yang, Xiang Li, Lantao Hu, Han Li, Kun Gai, Xiang Wang

preference fading discrete diffusion tailored for recommendation via modeling preference ratios

Poster Session 5

1 paper

Friday, December 5, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation

#4005 · Qing Yu, Xiaobei Wang, Shuchang Liu, cheng.feng, Xiaoyu Yang, Xueliang Wang, Chang Meng, Shanshan Wu, HailanYang, Bin Wen, Huihui Xiao, Xiang Li, Fan Yang, Xiaoqiang Feng, Lantao Hu, Han Li, Kun Gai, Lixin Zou