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

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)

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)

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)

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)

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)

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)

Spectral-based Graph Convolutional Network for Directed Graphs. - Yi Ma 005; Jianye Hao; Yaodong Yang 002; Han Li 005; Junqi Jin; Guangyong Chen (CoRR, 2019)

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)

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)

Pareto Domain Adaptation. - Fangrui Lv; Jian Liang 002; Kaixiong Gong; Shuang Li 008; Chi Harold Liu; Han Li 005; Di Liu; Guoren Wang (NeurIPS, 2021)

Context-aware Tree-based Deep Model for Recommender Systems. - Daqing Chang; Jintao Liu; Ziru Xu; Han Li 005; Han Zhu 001; Xiaoqiang Zhu (CoRR, 2021)

Incentive Compatible Pareto Alignment for Multi-Source Large Graphs. - Jian Liang 002; Fangrui Lv; Di Liu; Zehui Dai; Xu Tian; Shuang Li 008; Fei Wang 001; Han Li 005 (CoRR, 2021)

Cross-Domain Product Representation Learning for Rich-Content E-Commerce. - Xuehan Bai; Yan Li 043; Yanhua Cheng; Wenjie Yang; Quan Chen 006; Han Li 005 (ICCV, 2023)

Cross-view Semantic Alignment for Livestreaming Product Recognition. - Wenjie Yang; Yiyi Chen; Yan Li 043; Yanhua Cheng; Xudong Liu; Quan Chen 006; Han Li 005 (ICCV, 2023)

Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning. - Kaibin Tian; Yanhua Cheng; Yi Liu; Xinglin Hou; Quan Chen 006; Han Li 005 (AAAI, 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)

Modeling User Retention through Generative Flow Networks. - Ziru Liu; Shuchang Liu 006; Bin Yang 042; Zhenghai Xue; Qingpeng Cai 001; Xiangyu Zhao 001; Zijian Zhang 009; Lantao Hu; Han Li 005; Peng Jiang 002 (KDD, 2024)

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. - Jiakai Tang; Sunhao Dai; Zexu Sun; Xu Chen 017; Jun Xu 001; Wenhui Yu; Lantao Hu; Peng Jiang 002; Han Li 005 (KDD, 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)

Natural Language Explainable Recommendation with Robustness Enhancement. - Jingsen Zhang; Jiakai Tang; Xu Chen 017; Wenhui Yu; Lantao Hu; Peng Jiang 002; Han Li 005 (KDD, 2024)

Spatiotemporal Graph Guided Multi-modal Network for Livestreaming Product Retrieval. - Xiaowan Hu; Yiyi Chen; Yan Li 043; Minquan Wang; Haoqian Wang; Quan Chen 006; Han Li 005; Peng Jiang 002 (ACM Multimedia, 2024)

Spatiotemporal Fine-grained Video Description for Short Videos. - Te Yang; Jian Jia; Bo Wang 071; Yanhua Cheng; Yan Li 043; Dongze Hao; Xipeng Cao; Quan Chen 006; Han Li 005; Peng Jiang 002; Xiangyu Zhu 001; Zhen Lei 001 (ACM Multimedia, 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)

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)

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)

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; Guangming Xie (CoRR, 2024)

Knowledge Condensation and Reasoning for Knowledge-based VQA. - Dongze Hao; Jian Jia; Longteng Guo; Qunbo Wang; Te Yang; Yan Li 043; Yanhua Cheng; Bo Wang 011; Quan Chen 006; Han Li 005; Jing Liu 001 (CoRR, 2024)

A Model-based Multi-Agent Personalized Short-Video Recommender System. - Peilun Zhou; Xiaoxiao Xu; Lantao Hu; Han Li 005; Peng Jiang 002 (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)

Training-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation. - Shengyuan Liu; Bo Wang 011; Ye Ma; Te Yang; Xipeng Cao; Quan Chen 006; Han Li 005; Di Dong; Peng Jiang 002 (CoRR, 2024)

IFA: Interaction Fidelity Attention for Entire Lifelong Behaviour Sequence Modeling. - Wenhui Yu; Chao Feng; Yanze Zhang; Lantao Hu; Peng Jiang 002; Han Li 005 (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)

ASR-enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval. - Ruixiang Zhao; Jian Jia; Yan Li 043; Xuehan Bai; Quan Chen 006; Han Li 005; Peng Jiang 002; Xirong Li 001 (CoRR, 2024)

End-to-End Learnable Item Tokenization for Generative Recommendation. - Enze Liu 005; Bowen Zheng 005; Cheng Ling; Lantao Hu; Han Li 005; Wayne Xin Zhao (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)

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)

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)

ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability. - Zhongxiang Sun; Xiaoxue Zang; Kai Zheng 001; Jun Xu 001; Xiao Zhang 034; Weijie Yu 003; Yang Song 008; Han Li 005 (ICLR, 2025)

Generative Recommender with End-to-End Learnable Item Tokenization. - Enze Liu 005; Bowen Zheng 005; Cheng Ling; Lantao Hu; Han Li 005; Wayne Xin Zhao (SIGIR, 2025)

Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation. - Teng Shi; Jun Xu 001; Xiao Zhang 034; Xiaoxue Zang; Kai Zheng 001; Yang Song 008; Han Li 005 (SIGIR, 2025)

ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding. - Zhongxiang Sun; Qipeng Wang; Weijie Yu 003; Xiaoxue Zang; Kai Zheng 001; Jun Xu 001; Xiao Zhang 034; Yang Song 008; Han Li 005 (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)

Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions. - Hongtao Liu; Luxi Chen; Yiming Ding; Changcheng Li; Han Li 005; Peng Jiang 002; Weiran Shen (WSDM, 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)

Value Function Decomposition in Markov Recommendation Process. - Xiaobei Wang; Shuchang Liu 006; Qingpeng Cai 001; Xiang Li; Lantao Hu; Han Li 005; Guangming Xie (WWW, 2025)

QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors. - Kepu Zhang; Zhongxiang Sun; Weijie Yu 003; Xiaoxue Zang; Kai Zheng 001; Yang Song 008; Han Li 005; Jun Xu 001 (CoRR, 2025)

Explicit Uncertainty Modeling for Video Watch Time Prediction. - Shanshan Wu; Shuchang Liu 006; Shuai Zhang; Xiaoyu Yang; Xiang Li; Lantao Hu; Han Li 005 (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)

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)

GREAT: Guiding Query Generation with a Trie for Recommending Related Search about Video at Kuaishou. - Ninglu Shao; Jinshan Wang; Chenxu Wang; Qingbiao Li; Xiaoxue Zang; Han Li 005 (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)

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)