Blindly separating mixtures of multiple layers with spatial shifts. - Kun Gai; Zhenwei Shi; Changshui Zhang (CVPR, 2008)

Blind separation of superimposed images with unknown motions. - Kun Gai; Zhenwei Shi; Changshui Zhang (CVPR, 2009)

Learning Discriminative Piecewise Linear Models with Boundary Points. - Kun Gai; Changshui Zhang (AAAI, 2010)

Learning Kernels with Radiuses of Minimum Enclosing Balls. - Kun Gai; Guangyun Chen; Changshui Zhang (NIPS, 2010)

Efficient Euclidean projections via Piecewise Root Finding and its application in gradient projection. - Pinghua Gong; Kun Gai; Changshui Zhang (Neurocomputing, 2011)

Efficient Superimposition Recovering Algorithm - Han Li 005; Kun Gai; Pinghua Gong; Changshui Zhang (CoRR, 2012)

Blind Separation of Superimposed Moving Images Using Image Statistics. - Kun Gai; Zhenwei Shi; Changshui Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Efficient blind separation of reflection layers with nonparametric transformations. - Han Li 005; Kun Gai; Pinghua Gong; Changshui Zhang (ICASSP, 2013)

Optimized Cost per Click in Taobao Display Advertising. - Han Zhu 001; Junqi Jin; Chang Tan; Fei Pan; Yifan Zeng; Han Li 005; Kun Gai (KDD, 2017)

Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction. - Kun Gai; Xiaoqiang Zhu; Han Li 005; Kai Liu; Zhe Wang (CoRR, 2017)

Deep Interest Network for Click-Through Rate Prediction. - Guorui Zhou; Chengru Song; Xiaoqiang Zhu; Xiao Ma 028; Yanghui Yan; Xingya Dai; Han Zhu 001; Junqi Jin; Han Li 005; Kun Gai (CoRR, 2017)

Image Matters: Jointly Train Advertising CTR Model with Image Representation of Ad and User Behavior. - Tiezheng Ge; Liqin Zhao; Guorui Zhou; Keyu Chen; Shuying Liu; Huiming Yi; Zelin Hu; Bochao Liu; Peng Sun; Haoyu Liu; Pengtao Yi; Sui Huang; et al. (CoRR, 2017)

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, 2018)

Image Matters: Visually Modeling User Behaviors Using Advanced Model Server. - Tiezheng Ge; Liqin Zhao; Guorui Zhou; Keyu Chen; Shuying Liu; Huiming Yi; Zelin Hu; Bochao Liu; Peng Sun; Haoyu Liu; Pengtao Yi; Sui Huang; et al. (CIKM, 2018)

Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. - Junqi Jin; Chengru Song; Han Li 005; Kun Gai; Jun Wang 012; Weinan Zhang 001 (CIKM, 2018)

Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising. - Di Wu 035; Xiujun Chen; Xun Yang 004; Hao Wang 003; Qing Tan; Xiaoxun Zhang; Jian Xu 015; Kun Gai (CIKM, 2018)

Deep Interest Network for Click-Through Rate Prediction. - Guorui Zhou; Xiaoqiang Zhu; Chengru Song; Ying Fan; Han Zhu 001; Xiao Ma 028; Yanghui Yan; Junqi Jin; Han Li 005; Kun Gai (KDD, 2018)

Learning Tree-based Deep Model for Recommender Systems. - Han Zhu 001; Xiang Li; Pengye Zhang; Guozheng Li; Jie He 005; Han Li 005; Kun Gai (KDD, 2018)

Semantic Human Matting. - Quan Chen 006; Tiezheng Ge; Yanyu Xu; Zhiqiang Zhang 011; Xinxin Yang; Kun Gai (ACM Multimedia, 2018)

Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate. - Xiao Ma 028; Liqin Zhao; Guan Huang; Zhi Wang; Zelin Hu; Xiaoqiang Zhu; Kun Gai (SIGIR, 2018)

Learning Tree-based Deep Model for Recommender Systems. - Han Zhu 001; Pengye Zhang; Guozheng Li; Jie He 005; Han Li 005; Kun Gai (CoRR, 2018)

Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising. - Di Wu 035; Xiujun Chen; Xun Yang 004; Hao Wang 003; Qing Tan; Xiaoxun Zhang; Kun Gai (CoRR, 2018)

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning. - Weixun Wang; Junqi Jin; Jianye Hao; Chunjie Chen 004; Chuan Yu; Weinan Zhang 001; Jun Wang 012; Yixi Wang; Han Li 005; Jian Xu 015; Kun Gai (CoRR, 2018)

A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising. - Di Wu 035; Cheng Chen; Xun Yang 004; Xiujun Chen; Qing Tan; Jian Xu 015; Kun Gai (CoRR, 2018)

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 (AAAI, 2019)

Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. - Dagui Chen; Junqi Jin; Weinan Zhang 001; Fei Pan; Lvyin Niu; Chuan Yu; Jun Wang 012; Han Li 005; Jian Xu 015; Kun Gai (CIKM, 2019)

Learning Adaptive Display Exposure for Real-Time Advertising. - Weixun Wang; Junqi Jin; Jianye Hao; Chunjie Chen 004; Chuan Yu; Weinan Zhang 001; Jun Wang 012; Xiaotian Hao; Yixi Wang; Han Li 005; Jian Xu 015; Kun Gai (CIKM, 2019)

Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation. - Zhangming Chan; Xiuying Chen; Yongliang Wang; Juntao Li; Zhiqiang Zhang 011; Kun Gai; Dongyan Zhao 001; Rui Yan 001 (EMNLP/IJCNLP (1), 2019)

Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder. - Yuchi Zhang; Yongliang Wang; Liping Zhang; Zhiqiang Zhang 011; Kun Gai (ICASSP, 2019)

Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. - Qi Pi; Weijie Bian; Guorui Zhou; Xiaoqiang Zhu; Kun Gai (KDD, 2019)

Bid Optimization by Multivariable Control in Display Advertising. - Xun Yang 004; Yasong Li; Hao Wang 003; Di Wu 035; Qing Tan; Jian Xu 015; Kun Gai (KDD, 2019)

Joint Optimization of Tree-based Index and Deep Model for Recommender Systems. - Han Zhu 001; Daqing Chang; Ziru Xu; Pengye Zhang; Xiang Li; Jie He 005; Han Li 005; Jian Xu 015; Kun Gai (NeurIPS, 2019)

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. - Kan Ren; Jiarui Qin; Yuchen Fang; Weinan Zhang 001; Lei Zheng; Weijie Bian; Guorui Zhou; Jian Xu 015; Yong Yu 001; Xiaoqiang Zhu; Kun Gai (SIGIR, 2019)

Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling. - Guorui Zhou; Kailun Wu; Weijie Bian; Zhao Yang; Xiaoqiang Zhu; Kun Gai (CoRR, 2019)

Progressive Feature Polishing Network for Salient Object Detection. - Bo Wang 011; Quan Chen 006; Min Zhou; Zhiqiang Zhang 011; Xiaogang Jin 001; Kun Gai (CoRR, 2019)

Progressive Feature Polishing Network for Salient Object Detection. - Bo Wang 071; Quan Chen 006; Min Zhou; Zhiqiang Zhang 011; Xiaogang Jin 001; Kun Gai (AAAI, 2020)

Sequential Advertising Agent with Interpretable User Hidden Intents. - Zhaoqing Peng; Junqi Jin; Lan Luo; Yaodong Yang 001; Rui Luo 001; Jun Wang 012; Weinan Zhang 001; Miao Xu; Chuan Yu; Tiejian Luo; Han Li 005; Jian Xu 015; et al. (AAMAS, 2020)

A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction. - Liyi Guo; Rui Lu; Haoqi Zhang; Junqi Jin; Zhenzhe Zheng; Fan Wu 006; Jin Li; Haiyang Xu; Han Li 005; Wenkai Lu; Jian Xu 015; Kun Gai (CIKM, 2020)

Learning to Infer User Hidden States for Online Sequential Advertising. - Zhaoqing Peng; Junqi Jin; Lan Luo; Yaodong Yang 001; Rui Luo 001; Jun Wang 012; Weinan Zhang 001; Haiyang Xu; Miao Xu; Chuan Yu; Tiejian Luo; Han Li 005; et al. (CIKM, 2020)

Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction. - Qi Pi; Guorui Zhou; Yujing Zhang; Zhe Wang; Lejian Ren; Ying Fan; Xiaoqiang Zhu; Kun Gai (CIKM, 2020)

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. - Xiaotian Hao; Zhaoqing Peng; Yi Ma 005; Guan Wang; Junqi Jin; Jianye Hao; Shan Chen; Rongquan Bai; Mingzhou Xie; Miao Xu; Zhenzhe Zheng; Chuan Yu; et al. (ICML, 2020)

Learning Optimal Tree Models under Beam Search. - Jingwei Zhuo; Ziru Xu; Wei Dai; Han Zhu 001; Han Li 005; Jian Xu 015; Kun Gai (ICML, 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 005; Zhenzhe Zheng; Han Li 005; Jian Xu 015; Kun Gai (IJCAI, 2020)

Calibrating User Response Predictions in Online Advertising. - Chao Deng; Hao Wang 003; Qing Tan; Jian Xu 015; Kun Gai (ECML/PKDD (4), 2020)

A Deep Recurrent Survival Model for Unbiased Ranking. - Jiarui Jin; Yuchen Fang; Weinan Zhang 001; Kan Ren; Guorui Zhou; Jian Xu 015; Yong Yu 001; Jun Wang 012; Xiaoqiang Zhu; Kun Gai (SIGIR, 2020)

DCAF: A Dynamic Computation Allocation Framework for Online Serving System. - Biye Jiang; Pengye Zhang; Rihan Chen; Binding Dai; Xinchen Luo; Yin Yang; Guan Wang; Guorui Zhou; Xiaoqiang Zhu; Kun Gai (CoRR, 2020)

COLD: Towards the Next Generation of Pre-Ranking System. - Zhe Wang; Liqin Zhao; Biye Jiang; Guorui Zhou; Xiaoqiang Zhu; Kun Gai (CoRR, 2020)

CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction. - Guorui Zhou; Weijie Bian; Kailun Wu; Lejian Ren; Qi Pi; Yujing Zhang; Can Xiao; Xiang-Rong Sheng; Na Mou; Xinchen Luo; Chi Zhang; Xianjie Qiao; et al. (CoRR, 2020)

Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. - Chao Du; Yifan Zeng; Zhifeng Gao; Shuo Yuan; Lining Gao; Ziyan Li; Xiaoqiang Zhu; Jian Xu 015; Kun Gai (CoRR, 2020)

Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. - Chao Du; Zhifeng Gao; Shuo Yuan; Lining Gao; Ziyan Li; Yifan Zeng; Xiaoqiang Zhu; Jian Xu 015; Kun Gai; Kuang-Chih Lee (KDD, 2021)

Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. - Zhilin Zhang 003; Xiangyu Liu; Zhenzhe Zheng; Chenrui Zhang; Miao Xu; Junwei Pan; Chuan Yu; Fan Wu 006; Jian Xu 015; Kun Gai (WSDM, 2021)

Truncation-Free Matching System for Display Advertising at Alibaba. - Jin Li; Jie Liu 047; Shangzhou Li; Yao Xu; Ran Cao; Qi Li; Biye Jiang; Guan Wang; Han Zhu 001; Kun Gai; Xiaoqiang Zhu (CoRR, 2021)

Real-time Short Video Recommendation on Mobile Devices. - Xudong Gong; Qinlin Feng; Yuan Zhang 024; Jiangling Qin; Weijie Ding; Biao Li; Peng Jiang 002; Kun Gai (CIKM, 2022)

Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. - Ruohan Zhan; Changhua Pei; Qiang Su; Jianfeng Wen; Xueliang Wang; Guanyu Mu; Dong Zheng; Peng Jiang 002; Kun Gai (KDD, 2022)

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. - Wanqi Xue; Qingpeng Cai 001; Ruohan Zhan; Dong Zheng; Peng Jiang 002; Kun Gai; Bo An 001 (ICLR, 2023)

A Multi-Agent Framework for Recommendation with Heterogeneous Sources. - Yabin Zhang 005; Weiqi Shao; Xu Chen 017; Yali Du 001; Xiaoxiao Xu; Dong Zheng; Changhua Pei; Shuai Zhang; Peng Jiang 002; Kun Gai (IJCNN, 2023)

Generative Flow Network for Listwise Recommendation. - Shuchang Liu 006; Qingpeng Cai 001; Zhankui He; Bowen Sun; Julian J. McAuley; Dong Zheng; Peng Jiang 002; Kun Gai (KDD, 2023)

TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou. - Jianxin Chang; Chenbin Zhang; Zhiyi Fu; Xiaoxue Zang; Lin Guan 005; Jing Lu; Yiqun Hui; Dewei Leng; Yanan Niu; Yang Song 008; Kun Gai (KDD, 2023)

PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information. - Jianxin Chang; Chenbin Zhang; Yiqun Hui; Dewei Leng; Yanan Niu; Yang Song 008; Kun Gai (KDD, 2023)

Graph Contrastive Learning with Generative Adversarial Network. - Cheng Wu; Chaokun Wang; Jingcao Xu; Ziyang Liu 004; Kai Zheng 001; Xiaowei Wang; Yang Song 008; Kun Gai (KDD, 2023)

PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. - Wanqi Xue; Qingpeng Cai 001; Zhenghai Xue; Shuo Sun; Shuchang Liu 006; Dong Zheng; Peng Jiang 002; Kun Gai; Bo An 001 (KDD, 2023)

State Regularized Policy Optimization on Data with Dynamics Shift. - Zhenghai Xue; Qingpeng Cai 001; Shuchang Liu 006; Dong Zheng; Peng Jiang 002; Kun Gai; Bo An 001 (NeurIPS, 2023)

KuaiSim: A Comprehensive Simulator for Recommender Systems. - Kesen Zhao; Shuchang Liu 006; Qingpeng Cai 001; Xiangyu Zhao 001; Ziru Liu; Dong Zheng; Peng Jiang 002; Kun Gai (NeurIPS, 2023)

Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. - Yunzhu Pan; Chen Gao 001; Jianxin Chang; Yanan Niu; Yang Song 008; Kun Gai; Depeng Jin; Yong Li 008 (RecSys, 2023)

When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. - Zihua Si; Zhongxiang Sun; Xiao Zhang 034; Jun Xu 001; Xiaoxue Zang; Yang Song 008; Kun Gai; Ji-Rong Wen (SIGIR, 2023)

Multi-behavior Self-supervised Learning for Recommendation. - Jingcao Xu; Chaokun Wang; Cheng Wu; Yang Song 008; Kai Zheng 001; Xiaowei Wang; Changping Wang; Guorui Zhou; Kun Gai (SIGIR, 2023)

Reinforcing User Retention in a Billion Scale Short Video Recommender System. - Qingpeng Cai 001; Shuchang Liu 006; Xueliang Wang; Tianyou Zuo; Wentao Xie 002; Bin Yang 042; Dong Zheng; Peng Jiang 002; Kun Gai (WWW (Companion Volume), 2023)

Two-Stage Constrained Actor-Critic for Short Video Recommendation. - Qingpeng Cai 001; Zhenghai Xue; Chi Zhang; Wanqi Xue; Shuchang Liu 006; Ruohan Zhan; Xueliang Wang; Tianyou Zuo; Wentao Xie 002; Dong Zheng; Peng Jiang 002; Kun Gai (WWW, 2023)

Exploration and Regularization of the Latent Action Space in Recommendation. - Shuchang Liu 006; Qingpeng Cai 001; Bowen Sun; Yuhao Wang 006; Ji Jiang; Dong Zheng; Peng Jiang 002; Kun Gai; Xiangyu Zhao 001; Yongfeng Zhang (WWW, 2023)

Multi-Task Recommendations with Reinforcement Learning. - Ziru Liu; Jiejie Tian; Qingpeng Cai 001; Xiangyu Zhao 001; Jingtong Gao; Shuchang Liu 006; Dayou Chen; Tonghao He; Dong Zheng; Peng Jiang 002; Kun Gai (WWW, 2023)

Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective. - Yuan Zhang 024; Xue Dong; Weijie Ding; Biao Li; Peng Jiang 002; Kun Gai (WWW (Companion Volume), 2023)

Disentangled Causal Embedding With Contrastive Learning For Recommender System. - Weiqi Zhao; Dian Tang; Xin Chen 073; Dawei Lv; Daoli Ou; Biao Li; Peng Jiang 002; Kun Gai (WWW (Companion Volume), 2023)

PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation. - Ziyang Liu 004; Chaokun Wang; Jingcao Xu; Cheng Wu; Kai Zheng 001; Yang Song 008; Na Mou; Kun Gai (CoRR, 2023)

A Large Language Model Enhanced Conversational Recommender System. - Yue Feng; Shuchang Liu 006; Zhenghai Xue; Qingpeng Cai 001; Lantao Hu; Peng Jiang 002; Kun Gai; Fei Sun 001 (CoRR, 2023)

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. - Yang Jin; Kun Xu 005; Liwei Chen; Chao Liao; Jianchao Tan; Quzhe Huang; Bin Chen; Chenyi Lei; An Liu; Chengru Song; Xiaoqiang Lei; Di Zhang; et al. (CoRR, 2023)

AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement. - Zhenghai Xue; Qingpeng Cai 001; Tianyou Zuo; Bin Yang 042; Lantao Hu; Peng Jiang 002; Kun Gai; Bo An 001 (CoRR, 2023)

Parrot: Enhancing Multi-Turn Chat Models by Learning to Ask Questions. - Yuchong Sun; Che Liu; Jinwen Huang; Ruihua Song; Fuzheng Zhang; Di Zhang; Zhongyuan Wang 006; Kun Gai (CoRR, 2023)

KwaiYiiMath: Technical Report. - Jia-Yi Fu; Lei Lin; Xiaoyang Gao; Pengli Liu; Zhengzong Chen; Zhirui Yang; Shengnan Zhang; Xue Zheng; Yan Li 043; Yuliang Liu; Xucheng Ye; Yiqiao Liao; et al. (CoRR, 2023)

DialogBench: Evaluating LLMs as Human-like Dialogue Systems. - Jiao Ou; Junda Lu; Che Liu; Yihong Tang; Fuzheng Zhang; Di Zhang; Zhongyuan Wang 006; Kun Gai (CoRR, 2023)

Ask One More Time: Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios. - Lei Lin; Jia-Yi Fu; Pengli Liu; Junchen Wan; Fuzheng Zhang; Zhongyuan Wang 006; Di Zhang; Kun Gai (CoRR, 2023)

Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios. - Lei Lin; Jia-Yi Fu; Pengli Liu; Qingyang Li 001; Yan Gong; Junchen Wan; Fuzheng Zhang; Zhongyuan Wang 006; Di Zhang; Kun Gai (ACL (Findings), 2024)

Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models. - Yuchong Sun; Che Liu; Kun Zhou 002; Jinwen Huang; Ruihua Song; Xin Zhao 018; Fuzheng Zhang; Di Zhang; Kun Gai (ACL (1), 2024)

Missing Interest Modeling with Lifelong User Behavior Data for Retrieval Recommendation. - Gaode Chen; Yuezihan Jiang; Rui Huang; Kuo Cai; Yunze Luo; Ruina Sun; Qi Zhang 010; Han Li 005; Kun Gai (CIKM, 2024)

A Self-Adaptive Fairness Constraint Framework for Industrial Recommender System. - Zhiqiang Liu; Xiaoxiao Xu; Jiaqi Yu; Han Xu; Lantao Hu; Han Li 005; Kun Gai (CIKM, 2024)

TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou. - Zihua Si; Lin Guan 005; Zhongxiang Sun; Xiaoxue Zang; Jing Lu; Yiqun Hui; Xingchao Cao; Zeyu Yang; Yichen Zheng; Dewei Leng; Kai Zheng 001; Chenbin Zhang; et al. (CIKM, 2024)

Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs. - Chenxi Sun; Hongzhi Zhang; Zijia Lin; Jingyuan Zhang; Fuzheng Zhang; Zhongyuan Wang 006; Bin Chen; Chengru Song; Di Zhang; Kun Gai; Deyi Xiong (LREC/COLING, 2024)

RecGPT. - Yabin Zhang 005; Wenhui Yu; Erhan Zhang; Xu Chen 017; Lantao Hu; Peng Jiang 002; Kun Gai (DASFAA (5), 2024)

Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector. - Xiaoxue Cheng; Junyi Li; Xin Zhao 018; Hongzhi Zhang; Fuzheng Zhang; Di Zhang; Kun Gai; Ji-Rong Wen (EMNLP, 2024)

Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues. - Jiao Ou; Jiayu Wu; Che Liu; Fuzheng Zhang; Di Zhang; Kun Gai (EMNLP, 2024)

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. - Yang Jin; Kun Xu 005; Kun Xu 005; Liwei Chen; Chao Liao; Jianchao Tan; Quzhe Huang; Bin Chen; Chengru Song; Dai Meng; Di Zhang; Wenwu Ou; et al. (ICLR, 2024)

Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization. - Yang Jin; Zhicheng Sun 001; Kun Xu 005; Kun Xu 005; Liwei Chen; Hao Jiang; Quzhe Huang; Chengru Song; Yuliang Liu; Di Zhang; Yang Song 008; Kun Gai; et al. (ICML, 2024)

Future Impact Decomposition in Request-level Recommendations. - Xiaobei Wang; Shuchang Liu 006; Xueliang Wang; Qingpeng Cai 001; Lantao Hu; Han Li 005; Peng Jiang 002; Kun Gai; Guangming Xie (KDD, 2024)

Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation. - Yuting Zhang; Zhao Zhang 011; Yiqing Wu; Ying Sun 006; Fuzhen Zhuang; Wenhui Yu; Lantao Hu; Han Li 005; Kun Gai; Zhulin An; Yongjun Xu 001 (ACM Multimedia, 2024)

DialogBench: Evaluating LLMs as Human-like Dialogue Systems. - Jiao Ou; Junda Lu; Che Liu; Yihong Tang; Fuzheng Zhang; Di Zhang; Kun Gai (NAACL-HLT, 2024)

RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance. - Zhicheng Sun 001; Zhenhao Yang; Yang Jin; Haozhe Chi; Kun Xu 005; Liwei Chen; Hao Jiang; Yang Song 008; Kun Gai; Yadong Mu (NeurIPS, 2024)

A Multi-modal Modeling Framework for Cold-start Short-video Recommendation. - Gaode Chen; Ruina Sun; Yuezihan Jiang; Jiangxia Cao; Qi Zhang 010; Jingjian Lin; Han Li 005; Kun Gai; Xinghua Zhang 001 (RecSys, 2024)

RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems. - Shuo Su; Xiaoshuang Chen; Yao Wang 020; Yulin Wu; Ziqiang Zhang; Kaiqiao Zhan; Ben Wang 006; Kun Gai (RecSys, 2024)

Generative Retrieval with Semantic Tree-Structured Identifiers and Contrastive Learning. - Zihua Si; Zhongxiang Sun; Jiale Chen; Guozhang Chen; Xiaoxue Zang; Kai Zheng 001; Yang Song 008; Xiao Zhang 034; Jun Xu 001; Kun Gai (SIGIR-AP, 2024)

Modeling User Fatigue for Sequential Recommendation. - Nian Li; Xin Ban; Cheng Ling; Chen Gao 001; Lantao Hu; Peng Jiang 002; Kun Gai; Yong Li 008; Qingmin Liao (SIGIR, 2024)

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. - Ziru Liu; Shuchang Liu 006; Zijian Zhang 009; Qingpeng Cai 001; Xiangyu Zhao 001; Kesen Zhao; Lantao Hu; Peng Jiang 002; Kun Gai (SIGIR, 2024)

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. - Zijian Zhang 009; Shuchang Liu 006; Jiaao Yu; Qingpeng Cai 001; Xiangyu Zhao 001; Chunxu Zhang; Ziru Liu; Qidong Liu 002; Hongwei Zhao; Lantao Hu; Peng Jiang 002; Kun Gai (SIGIR, 2024)

Mixed Attention Network for Cross-domain Sequential Recommendation. - Guanyu Lin; Chen Gao 001; Yu Zheng 010; Jianxin Chang; Yanan Niu; Yang Song 008; Kun Gai; Zhiheng Li 001; Depeng Jin; Yong Li 008; Meng Wang 001 (WSDM, 2024)

Inverse Learning with Extremely Sparse Feedback for Recommendation. - Guanyu Lin; Chen Gao 001; Yu Zheng 010; Yinfeng Li; Jianxin Chang; Yanan Niu; Yang Song 008; Kun Gai; Zhiheng Li 001; Depeng Jin; Yong Li 008 (WSDM, 2024)

Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems. - Yunli Wang; Zhiqiang Wang; Jian Yang 030; Shiyang Wen; Dongying Kong; Han Li 005; Kun Gai (WWW, 2024)

Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework. - Cheng Wu; Shaoyun Shi; Chaokun Wang; Ziyang Liu 004; Wang Peng; Wenjin Wu; Dongying Kong; Han Li 005; Kun Gai (WWW, 2024)

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples. - Xiaoxiao Xu; Hao Wu; Wenhui Yu; Lantao Hu; Peng Jiang 002; Kun Gai (WWW (Companion Volume), 2024)

Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. - Kai Zheng 001; Haijun Zhao; Rui Huang; Beichuan Zhang 002; Na Mou; Yanan Niu; Yang Song 008; Hongning Wang; Kun Gai (WWW, 2024)

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm. - Yabin Zhang 005; Wenhui Yu; Erhan Zhang; Xu Chen 017; Lantao Hu; Peng Jiang 002; Kun Gai (CoRR, 2024)

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. - Zijian Zhang 009; Shuchang Liu 006; Jiaao Yu; Qingpeng Cai 001; Xiangyu Zhao 001; Chunxu Zhang; Ziru Liu; Qidong Liu 002; Hongwei Zhao; Lantao Hu; Peng Jiang 002; Kun Gai (CoRR, 2024)

Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. - Jian Jia; Yipei Wang; Yan Li 043; Honggang Chen; Xuehan Bai; Zhaocheng Liu; Jian Liang 001; Quan Chen 006; Han Li 005; Peng Jiang 002; Kun Gai (CoRR, 2024)

RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance. - Zhicheng Sun 001; Zhenhao Yang; Yang Jin; Haozhe Chi; Kun Xu 005; Kun Xu 005; Liwei Chen; Hao Jiang; Di Zhang; Yang Song 008; Kun Gai; Yadong Mu (CoRR, 2024)

Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction. - Zhongxiang Fan; Zhaocheng Liu; Jian Liang 002; Dongying Kong; Han Li 005; Peng Jiang 002; Shuang Li 008; Kun Gai (CoRR, 2024)

ERABAL: Enhancing Role-Playing Agents through Boundary-Aware Learning. - Yihong Tang; Jiao Ou; Che Liu; Fuzheng Zhang; Di Zhang; Kun Gai (CoRR, 2024)

Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation. - Chang Meng; Chenhao Zhai; Xueliang Wang; Shuchang Liu 006; Xiaoqiang Feng; Lantao Hu; Xiu Li 001; Han Li 005; Kun Gai (CoRR, 2024)

RecFlow: An Industrial Full Flow Recommendation Dataset. - Qi Liu 003; Kai Zheng 001; Rui Huang; Wuchao Li; Kuo Cai; Yuan Chai; Yanan Niu; Yiqun Hui; Bing Han; Na Mou; Hongning Wang; Wentian Bao; et al. (CoRR, 2024)

MARM: Unlocking the Future of Recommendation Systems through Memory Augmentation and Scalable Complexity. - Xiao Lv; Jiangxia Cao; Shijie Guan; Xiaoyou Zhou; Zhiguang Qi; Yaqiang Zang; Ming Li; Ben Wang 006; Kun Gai; Guorui Zhou (CoRR, 2024)

KuaiFormer: Transformer-Based Retrieval at Kuaishou. - Chi Liu; Jiangxia Cao; Rui Huang; Kai Zheng 001; Qiang Luo; Kun Gai; Guorui Zhou (CoRR, 2024)

QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou. - Xinchen Luo; Jiangxia Cao; Tianyu Sun; Jinkai Yu; Rui Huang; Wei Yuan; Hezheng Lin; Yichen Zheng; Shiyao Wang 001; Qigen Hu; Changqing Qiu; Jiaqi Zhang; et al. (CoRR, 2024)

Scaling Laws for Online Advertisement Retrieval. - Yunli Wang; Zixuan Yang; Zhen Zhang; Zhiqiang Wang; Jian Yang 030; Shiyang Wen; Peng Jiang 002; Kun Gai (CoRR, 2024)

Enhancing Instruction-Following Capability of Visual-Language Models by Reducing Image Redundancy. - Te Yang; Jian Jia; Xiangyu Zhu 001; Weisong Zhao; Bo Wang 011; Yanhua Cheng; Yan Li 043; Shengyuan Liu; Quan Chen 006; Peng Jiang 002; Kun Gai; Zhen Lei 001 (CoRR, 2024)

Adaptive2: Adaptive Domain Mining for Fine-grained Domain Adaptation Modeling. - Wenxuan Sun; Zixuan Yang; Yunli Wang; Zhen Zhang; Zhiqiang Wang; Yu Li; Jian Yang 030; Yiming Yang; Shiyang Wen; Peng Jiang 002; Kun Gai (CoRR, 2024)

CRM: Retrieval Model with Controllable Condition. - Chi Liu; Jiangxia Cao; Rui Huang; Kuo Cai; Weifeng Ding; Qiang Luo; Kun Gai; Guorui Zhou (CoRR, 2024)

Soft Contrastive Sequential Recommendation. - Yabin Zhang 005; Zhenlei Wang; Wenhui Yu; Lantao Hu; Peng Jiang 002; Kun Gai; Xu Chen 017 (ACM Trans. Inf. Syst., 2024)

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. - Jian Jia; Yipei Wang; Yan Li 043; Honggang Chen; Xuehan Bai; Zhaocheng Liu; Jian Liang 001; Quan Chen 006; Han Li 005; Peng Jiang 002; Kun Gai (AAAI, 2025)

Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering. - Hao Jiang; Yang Jin; Zhicheng Sun 001; Kun Xu 005; Kun Xu 005; Liwei Chen; Yang Song 008; Kun Gai; Yadong Mu (AAAI, 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 001; Pengfei Wan 001; Di Zhang; Baoqun Yin; et al. (CVPR, 2025)

Making Transformer Decoders Better Differentiable Indexers. - Wuchao Li; Kai Zheng 001; Defu Lian; Qi Liu 003; Wentian Bao; Yunen Yu; Yang Song 008; Han Li 005; Kun Gai (ICLR, 2025)

RecFlow: An Industrial Full Flow Recommendation Dataset. - Qi Liu 003; Kai Zheng 007; Rui Huang; Wuchao Li; Kuo Cai; Yuan Chai; Yanan Niu; Yiqun Hui; Bing Han; Na Mou; Hongning Wang; Wentian Bao; et al. (ICLR, 2025)

HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou. - Xu Wang; Jiangxia Cao; Zhiyi Fu; Kun Gai; Guorui Zhou (KDD (1), 2025)

Generative Auto-Bidding with Value-Guided Explorations. - Jingtong Gao; Yewen Li; Shuai Mao; Peng Jiang 008; Nan Jiang 023; Yejing Wang; Qingpeng Cai 001; Fei Pan; Peng Jiang 002; Kun Gai; Bo An 001; Xiangyu Zhao 001 (SIGIR, 2025)

FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation. - Guoquan Wang; Qiang Luo; Weisong Hu; Pengfei Yao; Wencong Zeng; Guorui Zhou; Kun Gai (SIGIR, 2025)

Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model. - Yu Xia; Rui Zhong; Hao Gu; Wei Yang 041; Chi Lu; Peng Jiang 002; Kun Gai (SIGIR, 2025)

Comprehensive List Generation for Multi-Generator Reranking. - Hailan Yang; Zhenyu Qi; Shuchang Liu 006; Xiaoyu Yang; Xiaobei Wang; Xiang Li; Lantao Hu; Han Li 005; Kun Gai (SIGIR, 2025)

A Cold-start Recommendation System at Kuaishou Designed from the Short-video Perspective. - Gaode Chen; Ruina Sun; Yinjie Jiang; Tianxiang Li; Yinlong Dai; Qifan Shi; Xiaojie Qin; Jialong Fu; Piaoyi Chen; Ronggeng Huang; Na Li; Qi Zhang 010; et al. (WWW (Companion Volume), 2025)

Creator-Side Recommender System: Challenges, Designs, and Applications. - Xiaoshuang Chen; Yibo Wang; Yao Wang 020; Husheng Liu; Kaiqiao Zhan; Ben Wang 006; Kun Gai (WWW (Companion Volume), 2025)

AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems. - Zhenghai Xue; Qingpeng Cai 001; Bin Yang 042; Lantao Hu; Peng Jiang 002; Kun Gai; Bo An 001 (WWW, 2025)

Hierarchical Sequence ID Representation of Large Language Models for Large-scale Recommendation Systems. - Rui Zhao; Rui Zhong; Haoran Zheng; Wei Yang 041; Chi Lu; Beihong Jin; Peng Jiang 002; Kun Gai (WWW (Companion Volume), 2025)

ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning. - Yuzhou Huang; Ziyang Yuan; Quande Liu; Qiulin Wang; Xintao Wang 002; Ruimao Zhang; Pengfei Wan 001; Di Zhang; Kun Gai (CoRR, 2025)

Improving Video Generation with Human Feedback. - Jie Liu 047; Gongye Liu; Jiajun Liang; Ziyang Yuan; Xiaokun Liu; Mingwu Zheng; Xiele Wu; Qiulin Wang; Wenyu Qin; Menghan Xia; Xintao Wang 002; Xiaohong Liu 001; et al. (CoRR, 2025)

ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling. - Wei Cheng; Yucheng Lu; Boyang Xia; Jiangxia Cao; Kuan Xu; Mingxing Wen; Wei Jiang; Jiaming Zhang; Zhaojie Liu; Liyin Hong; Kun Gai; Guorui Zhou (CoRR, 2025)

CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation. - Qinghe Wang; Yawen Luo; Xiaoyu Shi; Xu Jia 012; Huchuan Lu; Tianfan Xue; Xintao Wang 002; Pengfei Wan 001; Di Zhang; Kun Gai (CoRR, 2025)

From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval. - Jian Jia; Jingtong Gao; Ben Xue; Junhao Wang; Qingpeng Cai 001; Quan Chen 006; Xiangyu Zhao 001; Peng Jiang 002; Kun Gai (CoRR, 2025)

DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs. - Minxuan Lv; Zhenpeng Su; Leiyu Pan; Yizhe Xiong; Zijia Lin; Hui Chen 013; Wei Zhou 019; Jungong Han; Guiguang Ding; Cheng Luo; Di Zhang; Kun Gai; et al. (CoRR, 2025)

Finedeep: Mitigating Sparse Activation in Dense LLMs via Multi-Layer Fine-Grained Experts. - Leiyu Pan; Zhenpeng Su; Minxuan Lv; Yizhe Xiong; Xiangwen Zhang; Zijia Lin; Hui Chen 013; Jungong Han; Guiguang Ding; Cheng Luo; Di Zhang; Kun Gai; et al. (CoRR, 2025)

Stick to Facts: Towards Fidelity-oriented Product Description Generation. - Zhangming Chan; Xiuying Chen; Yongliang Wang; Juntao Li; Zhiqiang Zhang 011; Kun Gai; Dongyan Zhao 001; Rui Yan 001 (CoRR, 2025)

Learning Cascade Ranking as One Network. - Yunli Wang; Zhen Zhang; Zhiqiang Wang; Zixuan Yang; Yu Li; Jian Yang 030; Shiyang Wen; Peng Jiang 002; Kun Gai (CoRR, 2025)

DiffMoE: Dynamic Token Selection for Scalable Diffusion Transformers. - Minglei Shi; Ziyang Yuan; Haotian Yang; Xintao Wang 002; Mingwu Zheng; Xin Tao 001; Wenliang Zhao; Wenzhao Zheng; Jie Zhou 001; Jiwen Lu; Pengfei Wan 001; Di Zhang; et al. (CoRR, 2025)

Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings. - Cong Liu; Liang Hou; Mingwu Zheng; Xin Tao 001; Pengfei Wan 001; Di Zhang; Kun Gai (CoRR, 2025)

FullDiT: Multi-Task Video Generative Foundation Model with Full Attention. - Xuan Ju; Weicai Ye; Quande Liu; Qiulin Wang; Xintao Wang 002; Pengfei Wan 001; Di Zhang; Kun Gai; Qiang Xu 001 (CoRR, 2025)

Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation. - Shengqiong Wu; Weicai Ye; Jiahao Wang; Quande Liu; Xintao Wang 002; Pengfei Wan 001; Di Zhang; Kun Gai; Shuicheng Yan; Hao Fei 001; Tat-Seng Chua (CoRR, 2025)

LLM-Alignment Live-Streaming Recommendation. - Yueyang Liu; Jiangxia Cao; Shen Wang; Shuang Wen 008; Xiang Chen; Xiangyu Wu; Shuang Yang; Zhaojie Liu; Kun Gai; Guorui Zhou (CoRR, 2025)

Leanabell-Prover: Posttraining Scaling in Formal Reasoning. - Jingyuan Zhang; Qi Wang; Xingguang Ji; Yahui Liu; Yang Yue; Fuzheng Zhang; Di Zhang; Guorui Zhou; Kun Gai (CoRR, 2025)

BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation. - Kaiyuan Li; Rui Xiang; Yong Bai; Yongxiang Tang; Yanhua Cheng; Xialong Liu; Peng Jiang 002; Kun Gai (CoRR, 2025)

CHIME: A Compressive Framework for Holistic Interest Modeling. - Yong Bai; Rui Xiang; Kaiyuan Li; Yongxiang Tang; Yanhua Cheng; Xialong Liu; Peng Jiang 002; Kun Gai (CoRR, 2025)

Generative Auto-Bidding with Value-Guided Explorations. - Jingtong Gao; Yewen Li; Shuai Mao; Peng Jiang 002; Nan Jiang 023; Yejing Wang; Qingpeng Cai 001; Fei Pan; Kun Gai; Bo An 001; Xiangyu Zhao 001 (CoRR, 2025)

VLM as Policy: Common-Law Content Moderation Framework for Short Video Platform. - Xingyu Lu; Tianke Zhang; Chang Meng; Xiaobei Wang; Jinpeng Wang; Yifan Zhang 004; Shisong Tang; Changyi Liu; Haojie Ding; Kaiyu Jiang; Kaiyu Tang; Bin Wen; et al. (CoRR, 2025)

A Survey of Interactive Generative Video. - Jiwen Yu; Yiran Qin; Haoxuan Che; Quande Liu; Xintao Wang 002; Pengfei Wan 001; Di Zhang; Kun Gai; Hao Chen 011; Xihui Liu (CoRR, 2025)

Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation. - Qing Yu; Xiaobei Wang; Shuchang Liu 006; Yandong Bai; Xiaoyu Yang; Xueliang Wang; Chang Meng; Shanshan Wu; Hailan Yang; Huihui Xiao; Xiang Li; Fan Yang 094; et al. (CoRR, 2025)

Pantheon: Personalized Multi-objective Ensemble Sort via Iterative Pareto Policy Optimization. - Jiangxia Cao; Pengbo Xu; Yin Cheng; Kaiwei Guo; Jian Tang; Shijun Wang; Dewei Leng; Shuang Yang; Zhaojie Liu; Yanan Niu; Guorui Zhou; Kun Gai (CoRR, 2025)

Scaling Image and Video Generation via Test-Time Evolutionary Search. - Haoran He; Jiajun Liang; Xintao Wang 002; Pengfei Wan 001; Di Zhang; Kun Gai; Ling Pan (CoRR, 2025)

CamCloneMaster: Enabling Reference-based Camera Control for Video Generation. - Yawen Luo; Jianhong Bai; Xiaoyu Shi; Menghan Xia; Xintao Wang 002; Pengfei Wan 001; Di Zhang; Kun Gai; Tianfan Xue (CoRR, 2025)

FullDiT2: Efficient In-Context Conditioning for Video Diffusion Transformers. - Xuanhua He; Quande Liu; Zixuan Ye; Weicai Ye; Qiulin Wang; Xintao Wang 002; Qifeng Chen; Pengfei Wan 001; Di Zhang; Kun Gai (CoRR, 2025)

UNIC: Unified In-Context Video Editing. - Zixuan Ye; Xuanhua He; Quande Liu; Qiulin Wang; Xintao Wang 002; Pengfei Wan 001; Di Zhang; Kun Gai; Qifeng Chen; Wenhan Luo (CoRR, 2025)

OneRec Technical Report. - Guorui Zhou; Jiaxin Deng; Jinghao Zhang; Kuo Cai; Lejian Ren; Qiang Luo; Qianqian Wang; Qigen Hu; Rui Huang; Shiyao Wang 001; Weifeng Ding; Wuchao Li; et al. (CoRR, 2025)

Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains. - Zhuo He; Shuang Li 008; Wenze Song; Longhui Yuan; Jian Liang 002; Han Li 005; Kun Gai (CoRR, 2025)

Kling-Foley: Multimodal Diffusion Transformer for High-Quality Video-to-Audio Generation. - Jun Wang 012; Xijuan Zeng; Chunyu Qiang; Ruilong Chen; Shiyao Wang 001; Le Wang; Wangjing Zhou; Pengfei Cai; Jiahui Zhao; Nan Li; Zihan Li; Yuzhe Liang; et al. (CoRR, 2025)

Kwai Keye-VL Technical Report. - Kwai Keye Team; Biao Yang; Bin Wen; Changyi Liu; Chenglong Chu; Chengru Song; Chongling Rao; Chuan Yi; Da Li 003; Dunju Zang; Fan Yang 094; Guorui Zhou; et al. (CoRR, 2025)

Leanabell-Prover-V2: Verifier-integrated Reasoning for Formal Theorem Proving via Reinforcement Learning. - Xingguang Ji; Yahui Liu; Qi Wang; Jingyuan Zhang; Yang Yue; Rui Shi; Chenxi Sun; Fuzheng Zhang; Guorui Zhou; Kun Gai (CoRR, 2025)

Imbalance in Balance: Online Concept Balancing in Generation Models. - Yukai Shi; Jiarong Ou; Rui Chen; Haotian Yang; Jiahao Wang; Xin Tao 001; Pengfei Wan 001; Di Zhang; Kun Gai (CoRR, 2025)

R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems. - Hao Gu; Rui Zhong; Yu Xia; Wei Yang 041; Chi Lu; Peng Jiang 002; Kun Gai (CoRR, 2025)

AudioGen-Omni: A Unified Multimodal Diffusion Transformer for Video-Synchronized Audio, Speech, and Song Generation. - Le Wang; Jun Wang 012; Chunyu Qiang; Feng Deng; Chen Zhang 013; Di Zhang; Kun Gai (CoRR, 2025)

An End-to-End Multi-objective Ensemble Ranking Framework for Video Recommendation. - Tiantian He; Minzhi Xie; Runtong Li; Xiaoxiao Xu; Jiaqi Yu; Zixiu Wang; Lantao Hu; Han Li 005; Kun Gai (CoRR, 2025)

Selection and Exploitation of High-Quality Knowledge from Large Language Models for Recommendation. - Guanchen Wang; Mingming Ha; Tianbao Ma; Linxun Chen; Zhaojie Liu; Guorui Zhou; Kun Gai (CoRR, 2025)

Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization. - Zhenpeng Su; Leiyu Pan; Xue Bai; Dening Liu; Guanting Dong; Jiaming Huang; Wenping Hu; Fuzheng Zhang; Kun Gai; Guorui Zhou (CoRR, 2025)

Score Augmentation for Diffusion Models. - Liang Hou; Yuan Gao; Boyuan Jiang; Xin Tao 001; Qi Yan; Renjie Liao; Pengfei Wan 001; Di Zhang; Kun Gai (CoRR, 2025)

Representation Quantization for Collaborative Filtering Augmentation. - Yunze Luo; Yinjie Jiang; Gaode Chen; Jingchi Wang; Shicheng Wang; Ruina Sun; Yuezihan Jiang; Jun Zhang; Jian Liang; Han Li 005; Kun Gai; Kaigui Bian (CoRR, 2025)

MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation. - Chengcheng Guo; Junda She; Kuo Cai; Shiyao Wang 001; Qigen Hu; Qiang Luo; Kun Gai; Guorui Zhou (CoRR, 2025)

OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service. - Zhipeng Wei; Kuo Cai; Junda She; Jie Chen; Minghao Chen; Yang Zeng; Qiang Luo; Wencong Zeng; Ruiming Tang; Kun Gai; Guorui Zhou (CoRR, 2025)