Han Li

According to our database, Han Li authored at least 132 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

VCap: Hypergeometric Rewards for Weak-to-Strong Visual Captioning.

Xingyu Lu, Jinpeng Wang, Yifan Zhang, Yankai Yang, Yancheng Long, Yiyang Fan, Xuanyu Zheng, Haonan Fan, Kaiyu Jiang, Tianke Zhang, Changyi Liu, Bin Wen, Fan Yang, Tingting Gao, Han Li, Chun Yuan

CoRR, May, 2026

Counteraction-Aware Multi-Teacher On-Policy Distillation for General Capability Recovery with Domain Preservation.

Tianlei Chen, Jiao Ou, Ziyuan Liu, Ruiming Tang, Jian Liang, Han Li

CoRR, May, 2026

MetaphorVU: Towards Metaphorical Video Understanding.

Zhuoqun Li, Boxi Cao, Guiping Jiang, Fangrui Lv, Ruotong Pan, Jianan Wang, Xiangyu Wu, Hongyu Lin, Yaojie Lu, Yong Du, Ruyin Jia, Liyan, Tingting Gao, Han Li, Xianpei Han, Le Sun

CoRR, May, 2026

GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment.

Minxuan Lv, Tiehua Mei, Tanlong Du, Junmin Chen, Zhenpeng Su, Ziyang Chen, Ziqi Wang, Zhennan Wu, Ruotong Pan, Jian Liang, Ruiming Tang, Han Li

CoRR, May, 2026

DADF: A Distribution-Aware Debiasing Framework for Watch-Time Regression in Recommender Systems.

Yiqing Yang, Xinlong Zhao, Zhao Liu, Xiao Lv, Ruiming Tang, Han Li, Kun Gai

CoRR, May, 2026

UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence.

Hongwei Zhang, Qiqiang Zhong, Jiangxia Cao, Yiyang Lv, Huanjie Wang, Liwei Guan, Jing Yao, Yiyu Wang, Junfeng Shu, Zhaojie Liu, Han Li

CoRR, May, 2026

ALM-MTA:Front-Door Causal Multi-Touch Attribution Method for Creator-Ecosystem Optimization.

Yuguang Liu, Luyao Xia, Hu Liu, Zhangxi Yan, Jian Liang, Han Li, Kun Gai

CoRR, May, 2026

Break the Inaccessible Boundary: Distilling Post-Conversion Content for User Retention Modeling.

Tianbao Ma, Ruochen Yang, Chengen Li, Yuexin Shi, Jiangxia Cao, Linxun Chen, Zhaojie Liu, Yanan Niu, Han Li, Kun Gai

CoRR, April, 2026

Action-Aware Generative Sequence Modeling for Short Video Recommendation.

Wenhao Li, Zihan Lin, Zhengxiao Guo, Jie Zhou, Shukai Liu, Yongqi Liu, Chuan Luo, Chaoyi Ma, Ruiming Tang, Han Li

CoRR, April, 2026

Kwai Summary Attention Technical Report.

Chenglong Chu, Guorui Zhou, Guowang Zhang, Han Li, Hao Peng, Hongtao Cheng, Jian Liang, Jiangxia Cao, Kun Gai, Lingzhi Zhou, Lu Ren, Qi Zhang, Ruiming Tang, Ruitao Wang, Xinchen Luo, Yi Su, Zhiyuan Liang, Ziqi Wang, Boyang Ding, Chengru Song, Dunju Zang, Hui Wang, Jiao Ou, Jiaxin Deng, Jijun Shi, Jinghao Zhang, Junmin Chen, Lejian Ren, Minxuan Lv, Qianqian Wang, Qigen Hu, Shiyao Wang, Siyang Mao, Tao Wang, Xingmei Wang, Zhixin Ling, Ziming Li, Zixing Zhang

CoRR, April, 2026

On the Equivalence Between Auto-Regressive Next Token Prediction and Full-Item-Vocabulary Maximum Likelihood Estimation in Generative Recommendation-A Short Note.

Yusheng Huang, Shuang Yang, Zhaojie Liu, Han Li

CoRR, April, 2026

Scale over Preference: The Impact of AI-Generated Content on Online Content Ecology.

Tianhao Shi, Yang Zhang, Xiaoyan Zhao, Fengbin Zhu, Chenyi Lei, Han Li, Wenwu Ou, Yang Song, Yongdong Zhang, Fuli Feng

CoRR, April, 2026

UniMixer: A Unified Architecture for Scaling Laws in Recommendation Systems.

Mingming Ha, Guanchen Wang, Linxun Chen, Xuan Rao, Yuexin Shi, Tianbao Ma, Zhaojie Liu, Yunqian Fan, Zilong Lu, Yanan Niu, Han Li, Kun Gai

CoRR, April, 2026

WebTestBench: Evaluating Computer-Use Agents towards End-to-End Automated Web Testing.

Fanheng Kong, Jingyuan Zhang, Yang Yue, Chenxi Sun, Yang Tian, Shi Feng, Xiaocui Yang, Daling Wang, Yu Tian, Jun Du, Wenchong Zeng, Han Li, Kun Gai

CoRR, March, 2026

OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework.

Ben Chen, Siyuan Wang, Yufei Ma, Zihan Liang, Xuxin Zhang, Yue Lv, Ying Yang, Huangyu Dai, Lingtao Mao, Tong Zhao, Zhipeng Qian, Xinyu Sun, Zhixin Zhai, Yang Zhao, Bochao Liu, Jingshan Lv, Xiao Liang, Hui Kong, Jing Chen, Han Li, Chenyi Lei, Wenwu Ou, Kun Gai

CoRR, March, 2026

FlashEvaluator: Expanding Search Space with Parallel Evaluation.

Chao Feng, Yuanhao Pu, Chenghao Zhang, Shanqi Liu, Shuchang Liu, Xiang Li, Yongqi Liu, Lantao Hu, Kaiqiao Zhan, Han Li, Kun Gai

CoRR, March, 2026

SOLAR: SVD-Optimized Lifelong Attention for Recommendation.

Chenghao Zhang, Chao Feng, Yuanhao Pu, Xunyong Yang, Wenhui Yu, Xiang Li, Yongqi Liu, Lantao Hu, Kaiqiao Zhan, Han Li, Kun Gai

CoRR, March, 2026

MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation.

Rong Shan, Aofan Yu, Bo Chen, Kuo Cai, Qiang Luo, Ruiming Tang, Han Li, Weiwen Liu, Weinan Zhang, Jianghao Lin

CoRR, March, 2026

MaRI: Accelerating Ranking Model Inference via Structural Re-parameterization in Large Scale Recommendation System.

Yusheng Huang, Pengbo Xu, Shen Wang, Changxin Lao, Jiangxia Cao, Shuang Wen, Shuang Yang, Zhaojie Liu, Han Li, Kun Gai

CoRR, February, 2026

Generative Recommendation for Large-Scale Advertising.

Ben Xue, Dan Liu, Lixiang Wang, Mingjie Sun, Peng Wang, Pengfei Zhang, Shaoyun Shi, Tianyu Xu, Yunhao Sha, Zhiqiang Liu, Bo Kong, Bo Wang, Hang Yang, Jieting Xue, Junhao Wang, Shengyu Wang, Shuping Hui, Wencai Ye, Xiao Lin, Yongzhi Li, Yuhang Chen, Zhihui Yin, Quan Chen, Shiyang Wen, Wenjin Wu, Han Li, Guorui Zhou, Changcheng Li, Peng Jiang

CoRR, February, 2026

ContextRL: Enhancing MLLM's Knowledge Discovery Efficiency with Context-Augmented RL.

Xingyu Lu, Jinpeng Wang, Yifan Zhang, Shijie Ma, Xiao Hu, Tianke Zhang, Haonan Fan, Kaiyu Jiang, Changyi Liu, Kaiyu Tang, Bin Wen, Fan Yang, Tingting Gao, Han Li, Chun Yuan

CoRR, February, 2026

GEMs: Breaking the Long-Sequence Barrier in Generative Recommendation with a Multi-Stream Decoder.

Yu Zhou, Chengcheng Guo, Kuo Cai, Ji Liu, Qiang Luo, Ruiming Tang, Han Li, Kun Gai, Guorui Zhou

CoRR, February, 2026

Kelix Technical Report.

Boyang Ding, Chenglong Chu, Dunju Zang, Han Li, Jiangxia Cao, Kun Gai, Muhao Wei, Ruiming Tang, Shiyao Wang, Siyang Mao, Xinchen Luo, Yahui Liu, Zhixin Ling, Zhuoran Yang, Ziming Li, Chengru Song, Guorui Zhou, Guowang Zhang, Hao Peng, Hao Wang, Jiaxin Deng, Jin Ouyang, Jinghao Zhang, Lejian Ren, Qianqian Wang, Qigen Hu, Tao Wang, Xing-wei Wang, Yiping Yang, Zixing Zhang, Ziqi Wang

CoRR, February, 2026

SARM: LLM-Augmented Semantic Anchor for End-to-End Live-Streaming Ranking.

Ruochen Yang, Yueyang Liu, Zijie Zhuang, Changxin Lao, Yuhui Zhang, Jiangxia Cao, Xu Jia, Xiang Chen, Haoke Xiao, Xiangyu Wu, Xiaoyou Zhou, Xiao Lv, Shuang Yang, Tingwen Liu, Zhaojie Liu, Han Li, Kun Gai

CoRR, February, 2026

SMES: Towards Scalable Multi-Task Recommendation via Expert Sparsity.

Yukun Zhang, Si Dong, Xu Wang, Bo Chen, Qinglin Jia, Shengzhe Wang, Jinlong Jiao, Runhan Li, Jiaqing Liu, Chaoyi Ma, Ruiming Tang, Guorui Zhou, Han Li, Kun Gai

CoRR, February, 2026

OneLive: Dynamically Unified Generative Framework for Live-Streaming Recommendation.

Shen Wang, Yusheng Huang, Ruochen Yang, Shuang Wen, Pengbo Xu, Jiangxia Cao, Yueyang Liu, Kuo Cai, Chengcheng Guo, Shiyao Wang, Xinchen Luo, Qiang Luo, Ruiming Tang, Shuang Yang, Zhaojie Liu, Guorui Zhou, Han Li, Kun Gai

CoRR, February, 2026

QARM V2: Quantitative Alignment Multi-Modal Recommendation for Reasoning User Sequence Modeling.

Tian Xia, Jiaqi Zhang, Yueyang Liu, Hongjian Dou, Tingya Yin, Jiangxia Cao, Xulei Liang, Tianlu Xie, Lihao Liu, Xiang Chen, Shen Wang, Changxin Lao, Haixiang Gan, Jinkai Yu, Keting Cen, Lu Hao, Xu Zhang, Qiqiang Zhong, Zhongbo Sun, Yiyu Wang, Shuang Yang, Mingxin Wen, Xiangyu Wu, Shaoguo Liu, Tingting Gao, Zhaojie Liu, Han Li, Kun Gai

CoRR, February, 2026

GISA: A Benchmark for General Information-Seeking Assistant.

Yutao Zhu, Xingshuo Zhang, Maosen Zhang, Jiajie Jin, Liancheng Zhang, Xiaoshuai Song, Kangzhi Zhao, Wencong Zeng, Ruiming Tang, Han Li, Ji-Rong Wen, Zhicheng Dou

CoRR, February, 2026

VideoTemp-o3: Harmonizing Temporal Grounding and Video Understanding in Agentic Thinking-with-Videos.

Wenqi Liu, Yunxiao Wang, Shijie Ma, Meng Liu, Qile Su, Tianke Zhang, Haonan Fan, Changyi Liu, Kaiyu Jiang, Jiankang Chen, Kaiyu Tang, Bin Wen, Fan Yang, Tingting Gao, Han Li, Yinwei Wei, Xuemeng Song

CoRR, February, 2026

GLASS: A Generative Recommender for Long-sequence Modeling via SID-Tier and Semantic Search.

Shiteng Cao, Junda She, Ji Liu, Bing Zeng, Chengcheng Guo, Kuo Cai, Qiang Luo, Ruiming Tang, Han Li, Kun Gai, Zhiheng Li, Cheng Yang

CoRR, February, 2026

ALPBench: A Benchmark for Attribution-level Long-term Personal Behavior Understanding.

Lu Ren, Junda She, Xinchen Luo, Tao Wang, Xin Ye, Xu Zhang, Muxuan Wang, Xiao Yang, Chenguang Wang, Fei Xie, Yiwei Zhou, Danjun Wu, Guodong Zhang, Yifei Hu, Guoying Zheng, Shujie Yang, Xingmei Wang, Shiyao Wang, Yukun Zhou, Fan Yang, Size Li, Kuo Cai, Qiang Luo, Ruiming Tang, Han Li, Kun Gai

CoRR, February, 2026

OneMall: One Architecture, More Scenarios - End-to-End Generative Recommender Family at Kuaishou E-Commerce.

Kun Zhang, Jingming Zhang, Wei Cheng, Yansong Cheng, Jiaqi Zhang, Hao Lu, Xu Zhang, Haixiang Gan, Jiangxia Cao, Tenglong Wang, Ximing Zhang, Boyang Xia, Kuo Cai, Shiyao Wang, Hongjian Dou, Jinkai Yu, Mingxing Wen, Qiang Luo, Dongxu Liang, Chenyi Lei, Jun Wang, Runan Liu, Zhaojie Liu, Ruiming Tang, Tingting Gao, Shaoguo Liu, Yuqing Ding, Hui Kong, Han Li, Guorui Zhou, Wenwu Ou, Kun Gai

CoRR, January, 2026

Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation.

Na Li, Jiaqi Yu, Minzhi Xie, Tiantian He, Xiaoxiao Xu, Zixiu Wang, Lantao Hu, Yongqi Liu, Han Li, Kaiqiao Zhan, Kun Gai

CoRR, January, 2026

DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing.

Qian Cao, Yahui Liu, Wei Bi, Yi Zhao, Ruihua Song, Xiting Wang, Ruiming Tang, Guorui Zhou, Han Li

CoRR, January, 2026

Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers.

Zhiyang Zhang, Junda She, Kuo Cai, Bo Chen, Shiyao Wang, Xinchen Luo, Qiang Luo, Ruiming Tang, Han Li, Kun Gai, Guorui Zhou

CoRR, January, 2026

PROMISE: Process Reward Models Unlock Test-Time Scaling Laws in Generative Recommendations.

Chengcheng Guo, Kuo Cai, Yu Zhou, Qiang Luo, Ruiming Tang, Han Li, Kun Gai, Guorui Zhou

CoRR, January, 2026

CSMCIR: CoT-Enhanced Symmetric Alignment with Memory Bank for Composed Image Retrieval.

Zhipeng Qian, Zihan Liang, Yufei Ma, Ben Chen, Huangyu Dai, Yiwei Ma, Jiayi Ji, Chenyi Lei, Han Li, Xiaoshuai Sun

CoRR, January, 2026

DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing.

Hongzhi Zhang, Yuanze Hu, Tinghai Zhang, Jia Fu, Tao Wang, Junwei Jing, Zhaoxin Fan, Qi Wang, Ruiming Tang, Han Li, Guorui Zhou, Kun Gai

CoRR, January, 2026

ASR-Enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval.

Ruixiang Zhao, Jian Jia, Yan Li, Xuehan Bai, Quan Chen, Han Li, Peng Jiang, Xirong Li

IEEE Trans. Multim., 2026

Prediction model of liver function through facial images using deep learning for liver cancer patients.

Ai-xian Zhang, Yang Yang, Bo Yang, Qing-lun Gao, Yu-xuan Wang, Di Jing, Han Li, Jia-rui Chen, Li-zhao Yu, Yan-peng Li, Tao Zeng, Bo-yuan Liu, Shuo Zhao, Xue-ling Zu, Xiu-ping Zhang, Zhen Lei, Ming-gen Hu

Biomed. Signal Process. Control., 2026

DualGR: Generative Retrieval with Long and Short-Term Interests Modeling.

Zhongchao Yi, Kai Feng, Xiaojian Ma, Yalong Wang, Yongqi Liu, Han Li, Zhengyang Zhou, Yang Wang

Proceedings of the ACM Web Conference 2026, 2026

Generative Regression Based Watch Time Prediction for Short-Video Recommendation.

Hongxu Ma, Kai Tian, Tao Zhang, Xuefeng Zhang, Han Zhou, Chenghou Jin, Chunjie Chen, Han Li, Jihong Guan, Shuigeng Zhou

Proceedings of the ACM Web Conference 2026, 2026

Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce.

Zhiding Liu, Ben Chen, Mingyue Cheng, Enhong Chen, Li Li, Chenyi Lei, Wenwu Ou, Han Li, Kun Gai

Proceedings of the ACM Web Conference 2026, 2026

DiffusionGS: Generative Search with Query Conditioned Diffusion in Kuaishou.

Qinyao Li, Xiaoyang Zheng, Qihang Zhao, Ke Xu, Zhongbo Sun, Chao Wang, Chenyi Lei, Han Li, Wenwu Ou

Proceedings of the ACM Web Conference 2026, 2026

GRADE: Personalized Multi-Task Fusion via Group-Relative Reinforcement Learning with Adaptive Dirichlet Exploration.

Tingfeng Hong, Pingye Ren, Xinlong Xiao, Chao Wang, Chenyi Lei, Wenwu Ou, Han Li

Proceedings of the ACM Web Conference 2026, 2026

OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion.

Xian Guo, Ben Chen, Siyuan Wang, Ying Yang, Mingyue Cheng, Chenyi Lei, Yuqing Ding, Han Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

UniDGF: A Unified Detection-to-Generation Framework for Hierarchical Object Visual Recognition.

Xinyu Nan, Lingtao Mao, Huangyu Dai, Zexin Zheng, Xinyu Sun, Zihan Liang, Ben Chen, Yuqing Ding, Chenyi Lei, Wenwu Ou, Han Li

CoRR, November, 2025

Breaking the Likelihood Trap: Consistent Generative Recommendation with Graph-structured Model.

Qiya Yang, Xiaoxi Liang, Zeping Xiao, Yingjie Deng, Yalong Wang, Yongqi Liu, Han Li

CoRR, October, 2025

OneVision: An End-to-End Generative Framework for Multi-view E-commerce Vision Search.

Zexin Zheng, Huangyu Dai, Lingtao Mao, Xinyu Sun, Zihan Liang, Ben Chen, Yuqing Ding, Chenyi Lei, Wenwu Ou, Han Li, Kun Gai

CoRR, October, 2025

GoalRank: Group-Relative Optimization for a Large Ranking Model.

Kaike Zhang, Xiaobei Wang, Shuchang Liu, Hailan Yang, Xiang Li, Lantao Hu, Han Li, Qi Cao, Fei Sun, Kun Gai

CoRR, September, 2025

Denoising Neural Reranker for Recommender Systems.

Wenyu Mao, Shuchang Liu, Hailan Yang, Xiaobei Wang, Xiaoyu Yang, Xu Gao, Xiang Li, Lantao Hu, Han Li, Kun Gai, An Zhang, Xiang Wang

CoRR, September, 2025

InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering.

Zihan Wang, Zihan Liang, Zhou Shao, Yufei Ma, Huangyu Dai, Ben Chen, Lingtao Mao, Chenyi Lei, Yuqing Ding, Han Li

CoRR, September, 2025

OneSearch: A Preliminary Exploration of the Unified End-to-End Generative Framework for E-commerce Search.

Ben Chen, Xian Guo, Siyuan Wang, Zihan Liang, Yue Lv, Yufei Ma, Xinlong Xiao, Bowen Xue, Xuxin Zhang, Ying Yang, Huangyu Dai, Xing Xu, Tong Zhao, Mingcan Peng, Xiaoyang Zheng, Chao Wang, Qihang Zhao, Zhixin Zhai, Yang Zhao, Bochao Liu, Jingshan Lv, Xiao Liang, Yuqing Ding, Jing Chen, Chenyi Lei, Wenwu Ou, Han Li, Kun Gai

CoRR, September, 2025

OneRec-V2 Technical Report.

Guorui Zhou, Hengrui Hu, Hongtao Cheng, Huanjie Wang, Jiaxin Deng, Jinghao Zhang, Kuo Cai, Lejian Ren, Lu Ren, Liao Yu, Pengfei Zheng, Qiang Luo, Qianqian Wang, Qigen Hu, Rui Huang, Ruiming Tang, Shiyao Wang, Shujie Yang, Tao Wu, Wuchao Li, Xinchen Luo, Xingmei Wang, Yi Su, Yunfan Wu, Zexuan Cheng, Zhanyu Liu, Zixing Zhang, Bin Zhang, Boxuan Wang, Chaoyi Ma, Chengru Song, Chenhui Wang, Chenglong Chu, Di Wang, Dongxue Meng, Dunju Zang, Fan Yang, Fangyu Zhang, Feng Jiang, Fuxing Zhang, Gang Wang, Guowang Zhang, Han Li, Honghui Bao, Hongyang Cao, Jiaming Huang, Jiapeng Chen, Jiaqiang Liu, Jinghui Jia, Kun Gai, Lantao Hu, Liang Zeng, Qiang Wang, Qidong Zhou, Rongzhou Zhang, Shengzhe Wang, Shihui He, Shuang Yang, Siyang Mao, Sui Huang, Tiantian He, Tingting Gao, Wei Yuan, Xiao Liang, Xiaoxiao Xu, Xugang Liu, Yan Wang, Yang Zhou, Yi Wang, Yiwu Liu, Yue Song, Yufei Zhang, Yunfeng Zhao, Zhixin Ling, Ziming Li

CoRR, August, 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, Kun Gai, Kaigui Bian

CoRR, August, 2025

UMRE: A Unified Monotonic Transformation for Ranking Ensemble in Recommender Systems.

Zhengrui Xu, Zhe Yang, Zhengxiao Guo, Shukai Liu, Luocheng Lin, Xiaoyan Liu, Yongqi Liu, Han Li

CoRR, August, 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, Kun Gai

CoRR, August, 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

CoRR, July, 2025

OneRec Technical Report.

Guorui Zhou, Jiaxin Deng, Jinghao Zhang, Kuo Cai, Lejian Ren, Qiang Luo, Qianqian Wang, Qigen Hu, Rui Huang, Shiyao Wang, Weifeng Ding, Wuchao Li, Xinchen Luo, Xingmei Wang, Zexuan Cheng, Zixing Zhang, Bin Zhang, Boxuan Wang, Chaoyi Ma, Chengru Song, Chenhui Wang, Di Wang, Dongxue Meng, Fan Yang, Fangyu Zhang, Feng Jiang, Fuxing Zhang, Gang Wang, Guowang Zhang, Han Li, Hengrui Hu, Hezheng Lin, Hongtao Cheng, Hongyang Cao, Huanjie Wang, Jiaming Huang, Jiapeng Chen, Jiaqiang Liu, Jinghui Jia, Kun Gai, Lantao Hu, Liang Zeng, Liao Yu, Qiang Wang, Qidong Zhou, Shengzhe Wang, Shihui He, Shuang Yang, Shujie Yang, Sui Huang, Tao Wu, Tiantian He, Tingting Gao, Wei Yuan, Xiao Liang, Xiaoxiao Xu, Xugang Liu, Yan Wang, Yi Wang, Yiwu Liu, Yue Song, Yufei Zhang, Yunfan Wu, Yunfeng Zhao, Zhanyu Liu

CoRR, June, 2025

Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation.

Qing Yu, Xiaobei Wang, Shuchang Liu, Yandong Bai, Xiaoyu Yang, Xueliang Wang, Chang Meng, Shanshan Wu, Hailan Yang, Huihui Xiao, Xiang Li, Fan Yang, Xiaoqiang Feng, Lantao Hu, Han Li, Kun Gai, Lixin Zou

CoRR, May, 2025

Explicit Uncertainty Modeling for Video Watch Time Prediction.

Shanshan Wu, Shuchang Liu, Shuai Zhang, Xiaoyu Yang, Xiang Li, Lantao Hu, Han Li

CoRR, April, 2025

QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors.

Kepu Zhang, Zhongxiang Sun, Weijie Yu, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li, Jun Xu

CoRR, April, 2025

Comment Staytime Prediction with LLM-enhanced Comment Understanding.

Changshuo Zhang, Zihan Lin, Shukai Liu, Yongqi Liu, Han Li

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Value Function Decomposition in Markov Recommendation Process.

Xiaobei Wang, Shuchang Liu, Qingpeng Cai, Xiang Li, Lantao Hu, Han Li, Guangming Xie

Proceedings of the ACM on Web Conference 2025, 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, Jiang Liang, Han Li, Kun Gai

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions.

Hongtao Liu, Luxi Chen, Yiming Ding, Changcheng Li, Han Li, Peng Jiang, Weiran Shen

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Comprehensive List Generation for Multi-Generator Reranking.

Hailan Yang, Zhenyu Qi, Shuchang Liu, Xiaoyu Yang, Xiaobei Wang, Xiang Li, Lantao Hu, Han Li, Kun Gai

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding.

Zhongxiang Sun, Qipeng Wang, Weijie Yu, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Yang Song, Han Li

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation.

Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Generative Recommender with End-to-End Learnable Item Tokenization.

Enze Liu, Bowen Zheng, Cheng Ling, Lantao Hu, Han Li, Wayne Xin Zhao

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Enhancing Online Video Recommendation via a Coarse-to-fine Dynamic Uplift Modeling Framework.

Chang Meng, Chenhao Zhai, Xueliang Wang, Shuchang Liu, Xiaoqiang Feng, Lantao Hu, Xiu Li, Han Li, Kun Gai

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Lasso: Large Language Model-based User Simulator for Cross-Domain Recommendation.

Yue Chen, Susen Yang, Tong Zhang, Chao Wang, Mingyue Cheng, Chenyi Lei, Han Li

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation.

Bowen Zheng, Zihan Lin, Enze Liu, Chen Yang, Enyang Bai, Cheng Ling, Han Li, Wayne Xin Zhao, Ji-Rong Wen

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability.

Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Weijie Yu, Yang Song, Han Li

Proceedings of the Thirteenth International Conference on Learning Representations, 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, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Making Transformer Decoders Better Differentiable Indexers.

Wuchao Li, Kai Zheng, Defu Lian, Qi Liu, Wentian Bao, Yunen Yu, Yang Song, Han Li, Kun Gai

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

InfoGain-RAG: Boosting Retrieval-Augmented Generation through Document Information Gain-based Reranking and Filtering.

Zihan Wang, Zihan Liang, Zhou Shao, Yufei Ma, Huangyu Dai, Ben Chen, Lingtao Mao, Chenyi Lei, Yuqing Ding, Han Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Stratified Expert Cloning for Retention-Aware Recommendation at Scale.

Chengzhi Lin, Annan Xie, Shuchang Liu, Wuhong Wang, Chuyuan Wang, Yongqi Liu, Han Li

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

UniECS: Unified Multimodal E-Commerce Search Framework with Gated Cross-modal Fusion.

Zihan Liang, Yufei Ma, Zhipeng Qian, Huangyu Dai, Zihan Wang, Ben Chen, Chenyi Lei, Yuqing Ding, Han Li

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

H-PRM: A Pluggable Hotword Pre-Retrieval Module for Various Speech Recognition Systems.

Huangyu Dai, Lingtao Mao, Ben Chen, Zihan Wang, Zihan Liang, Ying Han, Chenyi Lei, Han Li

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Generative Regression Based Watch Time Prediction for Video Recommendation: Model and Performance.

Hongxu Ma, Kai Tian, Tao Zhang, Xuefeng Zhang, Chunjie Chen, Han Li, Jihong Guan, Shuigeng Zhou

CoRR, 2024

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, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai

CoRR, 2024

Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation.

Chang Meng, Chenhao Zhai, Xueliang Wang, Shuchang Liu, Xiaoqiang Feng, Lantao Hu, Xiu Li, Han Li, Kun Gai

CoRR, 2024

End-to-End Learnable Item Tokenization for Generative Recommendation.

Enze Liu, Bowen Zheng, Cheng Ling, Lantao Hu, Han Li, Wayne Xin Zhao

CoRR, 2024

Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction.

Zhongxiang Fan, Zhaocheng Liu, Jian Liang, Dongying Kong, Han Li, Peng Jiang, Shuang Li, Kun Gai

CoRR, 2024

IFA: Interaction Fidelity Attention for Entire Lifelong Behaviour Sequence Modeling.

Wenhui Yu, Chao Feng, Yanze Zhang, Lantao Hu, Peng Jiang, Han Li

CoRR, 2024

Training-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation.

Shengyuan Liu, Bo Wang, Ye Ma, Te Yang, Xipeng Cao, Quan Chen, Han Li, Di Dong, Peng Jiang

CoRR, 2024

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

CoRR, 2024

A Model-based Multi-Agent Personalized Short-Video Recommender System.

Peilun Zhou, Xiaoxiao Xu, Lantao Hu, Han Li, Peng Jiang

CoRR, 2024

Knowledge Condensation and Reasoning for Knowledge-based VQA.

Dongze Hao, Jian Jia, Longteng Guo, Qunbo Wang, Te Yang, Yan Li, Yanhua Cheng, Bo Wang, Quan Chen, Han Li, Jing Liu

CoRR, 2024

Future Impact Decomposition in Request-level Recommendations.

Xiaobei Wang, Shuchang Liu, Xueliang Wang, Qingpeng Cai, Lantao Hu, Han Li, Peng Jiang, Guangming Xie

CoRR, 2024

Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework.

Cheng Wu, Shaoyun Shi, Chaokun Wang, Ziyang Liu, Wang Peng, Wenjin Wu, Dongying Kong, Han Li, Kun Gai

Proceedings of the ACM on Web Conference 2024, 2024

Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems.

Yunli Wang, Zhiqiang Wang, Jian Yang, Shiyang Wen, Dongying Kong, Han Li, Kun Gai

Proceedings of the ACM on Web Conference 2024, 2024

A Multi-modal Modeling Framework for Cold-start Short-video Recommendation.

Gaode Chen, Ruina Sun, Yuezihan Jiang, Jiangxia Cao, Qi Zhang, Jingjian Lin, Han Li, Kun Gai, Xinghua Zhang

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation.

Yuting Zhang, Zhao Zhang, Yiqing Wu, Ying Sun, Fuzhen Zhuang, Wenhui Yu, Lantao Hu, Han Li, Kun Gai, Zhulin An, Yongjun Xu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Spatiotemporal Fine-grained Video Description for Short Videos.

Te Yang, Jian Jia, Bo Wang, Yanhua Cheng, Yan Li, Dongze Hao, Xipeng Cao, Quan Chen, Han Li, Peng Jiang, Xiangyu Zhu, Zhen Lei

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Spatiotemporal Graph Guided Multi-modal Network for Livestreaming Product Retrieval.

Xiaowan Hu, Yiyi Chen, Yan Li, Minquan Wang, Haoqian Wang, Quan Chen, Han Li, Peng Jiang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Natural Language Explainable Recommendation with Robustness Enhancement.

Jingsen Zhang, Jiakai Tang, Xu Chen, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Future Impact Decomposition in Request-level Recommendations.

Xiaobei Wang, Shuchang Liu, Xueliang Wang, Qingpeng Cai, Lantao Hu, Han Li, Peng Jiang, Kun Gai, Guangming Xie

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning.

Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Modeling User Retention through Generative Flow Networks.

Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Self-Adaptive Fairness Constraint Framework for Industrial Recommender System.

Zhiqiang Liu, Xiaoxiao Xu, Jiaqi Yu, Han Xu, Lantao Hu, Han Li, Kun Gai

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 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, Han Li, Kun Gai

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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, Han Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cross-view Semantic Alignment for Livestreaming Product Recognition.

Wenjie Yang, Yiyi Chen, Yan Li, Yanhua Cheng, Xudong Liu, Quan Chen, Han Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Cross-Domain Product Representation Learning for Rich-Content E-Commerce.

Xuehan Bai, Yan Li, Yanhua Cheng, Wenjie Yang, Quan Chen, Han Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Incentive Compatible Pareto Alignment for Multi-Source Large Graphs.

Jian Liang, Fangrui Lv, Di Liu, Zehui Dai, Xu Tian, Shuang Li, Fei Wang, Han Li

CoRR, 2021

Context-aware Tree-based Deep Model for Recommender Systems.

Daqing Chang, Jintao Liu, Ziru Xu, Han Li, Han Zhu, Xiaoqiang Zhu

CoRR, 2021

Pareto Domain Adaptation.

Fangrui Lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Optimal Tree Models under Beam Search.

Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai

Proceedings of the 37th International Conference on Machine Learning, 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

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Infer User Hidden States for Online Sequential Advertising.

Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction.

Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Sequential Advertising Agent with Interpretable User Hidden Intents.

Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Spectral-based Graph Convolutional Network for Directed Graphs.

Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Adaptive Display Exposure for Real-Time Advertising.

Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds.

Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning.

Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Yixi Wang, Han Li, Jian Xu, Kun Gai

CoRR, 2018

Learning Tree-based Deep Model for Recommender Systems.

Han Zhu, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai

CoRR, 2018

Learning Tree-based Deep Model for Recommender Systems.

Han Zhu, Xiang Li, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep Interest Network for Click-Through Rate Prediction.

Guorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising.

Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Deep Interest Network for Click-Through Rate Prediction.

Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Xiao Ma, Yanghui Yan, Xingya Dai, Han Zhu, Junqi Jin, Han Li, Kun Gai

CoRR, 2017

Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction.

Kun Gai, Xiaoqiang Zhu, Han Li, Kai Liu, Zhe Wang

CoRR, 2017

Optimized Cost per Click in Taobao Display Advertising.

Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2013

Efficient blind separation of reflection layers with nonparametric transformations.

Han Li, Kun Gai, Pinghua Gong, Changshui Zhang

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Efficient Superimposition Recovering Algorithm

Han Li, Kun Gai, Pinghua Gong, Changshui Zhang

CoRR, 2012