Gai, Kun

30 publications

NeurIPS 2025 Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation Guoqing Hu, An Zhang, Shuchang Liu, Wenyu Mao, Jiancan Wu, Xun Yang, Xiang Li, Lantao Hu, Han Li, Kun Gai, Xiang Wang

ICCV 2025 FullDiT: Video Generative Foundation Models with Multimodal Control via Full Attention Xuan Ju, Weicai Ye, Quande Liu, Qiulin Wang, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Qiang Xu

AAAI 2025 Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering Hao Jiang, Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Yang Song, Kun Gai, Yadong Mu

ICCV 2025 Imbalance in Balance: Online Concept Balancing in Generation Models Yukai Shi, Jiarong Ou, Rui Chen, Haotian Yang, Jiahao Wang, Xin Tao, Pengfei Wan, Di Zhang, Kun Gai

NeurIPS 2025 Improving Video Generation with Human Feedback 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

AAAI 2025 LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai

ICML 2025 Learning Cascade Ranking as One Network Yunli Wang, Zhen Zhang, Zhiqiang Wang, Zixuan Yang, Yu Li, Jian Yang, Shiyang Wen, Peng Jiang, Kun Gai

ICML 2025 Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains Zhuo He, Shuang Li, Wenze Song, Longhui Yuan, Jian Liang, Han Li, Kun Gai

ICLR 2025 Making Transformer Decoders Better Differentiable Indexers Wuchao Li, Kai Zheng, Defu Lian, Qi Liu, Wentian Bao, Enyun Yu, Yang Song, Han Li, Kun Gai

ICLR 2025 RecFlow: An Industrial Full Flow Recommendation Dataset Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Enyun Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai

CVPR 2025 Towards Precise Scaling Laws for Video Diffusion Transformers Yuanyang Yin, Yaqi Zhao, Mingwu Zheng, Ke Lin, Jiarong Ou, Rui Chen, Victor Shea-Jay Huang, Jiahao Wang, Xin Tao, Pengfei Wan, Di Zhang, Baoqun Yin, Wentao Zhang, Kun Gai

NeurIPS 2025 Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation 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

NeurIPS 2024 RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe Chi, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Yang Song, Kun Gai, Yadong Mu

ICLR 2024 Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chengru Song, Dai Meng, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu

ICML 2024 Video-LaVIT: Unified Video-Language Pre-Training with Decoupled Visual-Motional Tokenization Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Quzhe Huang, Chengru Song, Yuliang Liu, Di Zhang, Yang Song, Kun Gai, Yadong Mu

NeurIPS 2023 KuaiSim: A Comprehensive Simulator for Recommender Systems Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai

ICLR 2023 ResAct: Reinforcing Long-Term Engagement in Sequential Recommendation with Residual Actor Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Kun Gai, Bo An

NeurIPS 2023 State Regularized Policy Optimization on Data with Dynamics Shift Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An

ECML-PKDD 2020 Calibrating User Response Predictions in Online Advertising Chao Deng, Hao Wang, Qing Tan, Jian Xu, Kun Gai

ICML 2020 Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai

ICML 2020 Learning Optimal Tree Models Under Beam Search Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai

IJCAI 2020 Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted B-Matching Problems in Online Advertising Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai

AAAI 2020 Progressive Feature Polishing Network for Salient Object Detection Bo Wang, Quan Chen, Min Zhou, Zhiqiang Zhang, Xiaogang Jin, Kun Gai

AAAI 2019 Deep Interest Evolution Network for Click-Through Rate Prediction Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai

NeurIPS 2019 Joint Optimization of Tree-Based Index and Deep Model for Recommender Systems Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai

AAAI 2018 Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai

AAAI 2010 Learning Discriminative Piecewise Linear Models with Boundary Points Kun Gai, Changshui Zhang

NeurIPS 2010 Learning Kernels with Radiuses of Minimum Enclosing Balls Kun Gai, Guangyun Chen, Chang-shui Zhang

CVPR 2009 Blind Separation of Superimposed Images with Unknown Motions Kun Gai, Zhenwei Shi, Changshui Zhang

CVPR 2008 Blindly Separating Mixtures of Multiple Layers with Spatial Shifts Kun Gai, Zhenwei Shi, Changshui Zhang