Kun Gai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
114
Venues
21
Active years
2008–2026
Best venue rank
A*
Where they publish
- A*WWW17 papers
- ACIKM15 papers
- A*KDD15 papers
- A*SIGIR13 papers
- A*AAAI9 papers
- A*ACL7 papers
- AWSDM6 papers
- A*ICML5 papers
- ARecSys5 papers
- A*EMNLP4 papers
- A*ICLR4 papers
- A*CVPR3 papers
- A*ICCV2 papers
- MulticonferenceICASSP2 papers
- A*SIGGRAPH1 paper
- A*SiggraphA1 paper
- BCOLING1 paper
- BDASFAA1 paper
- ANAACL1 paper
- BIJCNN1 paper
- A*IJCAI1 paper
Papers
114 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings. | Liang Hou, Cong Liu, Mingwu Zheng, Xin Tao, Pengfei Wan, Di Zhang, Kun Gai |
| 2026 | AAAI | LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation. | Hao Jiang, Guoquan Wang, Donglin Zhou, Sheng Yu, Yang Zeng, Wencong Zeng, Kun Gai, Guorui Zhou |
| 2026 | AAAI | FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion. | Xiangyang Luo, Qingyu Li, Xiaokun Liu, Wenyu Qin, Miao Yang, Meng Wang, Pengfei Wan, Di Zhang, Kun Gai, Shao-Lun Huang |
| 2026 | ACL | OneRec-Think: In-Text Reasoning for Generative Recommendation. | Zhanyu Liu, Shiyao Wang, Xingmei Wang, Rongzhou Zhang, Jiaxin Deng, Honghui Bao, Jinghao Zhang, Wuchao Li, Penggei Zheng, Xiangyu Wu, Yifei Hu, Qigen Hu, Xinchen Luo, Lejian Ren, Zixing Zhang, Qianqian Wang, Kuo Cai, Yunfan Wu, Hongtao Cheng, Zexuan Cheng, Lu Ren, Huanjie Wang, Yi Su, Ruiming Tang, Kun Gai, Guorui Zhou |
| 2026 | ACL | CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning. | Zhenpeng Su, Leiyu Pan, Minxuan Lv, Yuntao Li, Wenping Hu, Fuzheng Zhang, Kun Gai, Guorui Zhou |
| 2026 | ACL | Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning. | Zhenpeng Su, Leiyu Pan, Minxuan Lv, Tiehua Mei, Zijia Lin, Yuntao Li, Wenping Hu, Ruiming Tang, Kun Gai, Guorui Zhou |
| 2026 | ACL | DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing. | Hongzhi Zhang, Yuanze Hu, Tinghai Zhang, Jia Fu, Tao Wang, Junwei Jing, Zhaoxin Fan, Wei Bi, Ruiming Tang, Han Li, Guorui Zhou, Kun Gai |
| 2026 | ACL | 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 |
| 2026 | WWW | Toward Generalized Web Agent Training: A Deep Dive into Entropy-Balanced Reinforcement Learning. | Guanting Dong, Licheng Bao, Zhongyuan Wang, Kangzhi Zhao, Xiaoxi Li, Jiajie Jin, Jinghan Yang, Hangyu Mao, Fuzheng Zhang, Kun Gai, Guorui Zhou, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou |
| 2026 | WWW | 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 |
| 2026 | WWW | GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework. | Yijia Sun, Shanshan Huang, Zhiyuan Guan, Qiang Luo, Ruiming Tang, Kun Gai, Guorui Zhou |
| 2026 | SIGIR | 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 |
| 2026 | WSDM | PushGen: Push Notifications Generation with LLM. | Shifu Bie, Jiangxia Cao, Zixiao Luo, Yichuan Zou, Lei Liang, Lu Zhang, Linxun Chen, Zhaojie Liu, Xuanping Li, Guorui Zhou, Kaiqiao Zhan, Kun Gai |
| 2026 | WSDM | 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 |
| 2026 | WSDM | 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 |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | CIKM | 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 |
| 2025 | CIKM | MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation. | Chengcheng Guo, Junda She, Kuo Cai, Shiyao Wang, Qigen Hu, Qiang Luo, Guorui Zhou, Kun Gai |
| 2025 | CIKM | MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever. | Yijia Sun, Shanshan Huang, Linxiao Che, Haitao Lu, Qiang Luo, Kun Gai, Guorui Zhou |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs. | Minxuan Lv, Zhenpeng Su, Leiyu Pan, Yizhe Xiong, Zijia Lin, Hui Chen, Wei Zhou, Jungong Han, Guiguang Ding, Wenwu Ou, Di Zhang, Kun Gai, Songlin Hu |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICLR | Making Transformer Decoders Better Differentiable Indexers. | Wuchao Li, Kai Zheng, Defu Lian, Qi Liu, Wentian Bao, Yunen Yu, Yang Song, Han Li, Kun Gai |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | Learning Cascade Ranking as One Network. | Yunli Wang, Zhen Zhang, Zhiqiang Wang, Zixuan Yang, Yu Li, Jian Yang, Shiyang Wen, Peng Jiang, Kun Gai |
| 2025 | KDD | VLM as Policy: Common-Law Content Moderation Framework for Short Video Platform. | Xingyu Lu, Tianke Zhang, Chang Meng, Xiaobei Wang, Jinpeng Wang, Yifan Zhang, Shisong Tang, Changyi Liu, Haojie Ding, Kaiyu Jiang, Kaiyu Tang, Bin Wen, Hai-Tao Zheng, Fan Yang, Tingting Gao, Di Zhang, Kun Gai |
| 2025 | KDD | HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou. | Xu Wang, Jiangxia Cao, Zhiyi Fu, Kun Gai, Guorui Zhou |
| 2025 | RecSys | Untitled record | Hao Gu, Rui Zhong, Yu Xia, Wei Yang, Chi Lu, Peng Jiang, Kun Gai |
| 2025 | RecSys | 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 |
| 2025 | SIGGRAPH | CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation. | Qinghe Wang, Yawen Luo, Xiaoyu Shi, Xu Jia, Huchuan Lu, Tianfan Xue, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai |
| 2025 | WWW | 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 |
| 2025 | WWW | Creator-Side Recommender System: Challenges, Designs, and Applications. | Xiaoshuang Chen, Yibo Wang, Yao Wang, Husheng Liu, Kaiqiao Zhan, Ben Wang, Kun Gai |
| 2025 | WWW | AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems. | Zhenghai Xue, Qingpeng Cai, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An |
| 2025 | WWW | Hierarchical Sequence ID Representation of Large Language Models for Large-scale Recommendation Systems. | Rui Zhao, Rui Zhong, Haoran Zheng, Wei Yang, Chi Lu, Beihong Jin, Peng Jiang, Kun Gai |
| 2025 | SIGIR | Generative Auto-Bidding with Value-Guided Explorations. | Jingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Peng Jiang, Kun Gai, Bo An, Xiangyu Zhao |
| 2025 | SIGIR | 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 |
| 2025 | SIGIR | Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model. | Yu Xia, Rui Zhong, Hao Gu, Wei Yang, Chi Lu, Peng Jiang, Kun Gai |
| 2025 | SIGIR | 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 |
| 2025 | SiggraphA | CamCloneMaster: Enabling Reference-based Camera Control for Video Generation. | Yawen Luo, Xiaoyu Shi, Jianhong Bai, Menghan Xia, Tianfan Xue, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai |
| 2024 | ACL | 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, Yan Gong, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Di Zhang, Kun Gai |
| 2024 | ACL | Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models. | Yuchong Sun, Che Liu, Kun Zhou, Jinwen Huang, Ruihua Song, Xin Zhao, Fuzheng Zhang, Di Zhang, Kun Gai |
| 2024 | CIKM | 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 |
| 2024 | CIKM | A Self-Adaptive Fairness Constraint Framework for Industrial Recommender System. | Zhiqiang Liu, Xiaoxiao Xu, Jiaqi Yu, Han Xu, Lantao Hu, Han Li, Kun Gai |
| 2024 | CIKM | TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou. | Zihua Si, Lin Guan, Zhongxiang Sun, Xiaoxue Zang, Jing Lu, Yiqun Hui, Xingchao Cao, Zeyu Yang, Yichen Zheng, Dewei Leng, Kai Zheng, Chenbin Zhang, Yanan Niu, Yang Song, Kun Gai |
| 2024 | COLING | 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, Bin Chen, Chengru Song, Di Zhang, Kun Gai, Deyi Xiong |
| 2024 | DASFAA | RecGPT. | Yabin Zhang, Wenhui Yu, Erhan Zhang, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai |
| 2024 | EMNLP | Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector. | Xiaoxue Cheng, Junyi Li, Xin Zhao, Hongzhi Zhang, Fuzheng Zhang, Di Zhang, Kun Gai, Ji-Rong Wen |
| 2024 | EMNLP | Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues. | Jiao Ou, Jiayu Wu, Che Liu, Fuzheng Zhang, Di Zhang, Kun Gai |
| 2024 | ICLR | Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. | Yang Jin, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chengru Song, Dai Meng, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu |
| 2024 | ICML | 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 |
| 2024 | KDD | 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 |
| 2024 | NAACL | DialogBench: Evaluating LLMs as Human-like Dialogue Systems. | Jiao Ou, Junda Lu, Che Liu, Yihong Tang, Fuzheng Zhang, Di Zhang, Kun Gai |
| 2024 | RecSys | 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 |
| 2024 | RecSys | RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems. | Shuo Su, Xiaoshuang Chen, Yao Wang, Yulin Wu, Ziqiang Zhang, Kaiqiao Zhan, Ben Wang, Kun Gai |
| 2024 | WWW | 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 |
| 2024 | WWW | 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 |
| 2024 | WWW | 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, Kun Gai |
| 2024 | WWW | Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. | Kai Zheng, Haijun Zhao, Rui Huang, Beichuan Zhang, Na Mou, Yanan Niu, Yang Song, Hongning Wang, Kun Gai |
| 2024 | SIGIR | Modeling User Fatigue for Sequential Recommendation. | Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao |
| 2024 | SIGIR | Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. | Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai |
| 2024 | SIGIR | M | Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai |
| 2024 | WSDM | Mixed Attention Network for Cross-domain Sequential Recommendation. | Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang |
| 2024 | WSDM | Inverse Learning with Extremely Sparse Feedback for Recommendation. | Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li |
| 2023 | ICLR | 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 |
| 2023 | IJCNN | A Multi-Agent Framework for Recommendation with Heterogeneous Sources. | Yabin Zhang, Weiqi Shao, Xu Chen, Yali Du, Xiaoxiao Xu, Dong Zheng, Changhua Pei, Shuai Zhang, Peng Jiang, Kun Gai |
| 2023 | KDD | Generative Flow Network for Listwise Recommendation. | Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai |
| 2023 | KDD | 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, Jing Lu, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, Kun Gai |
| 2023 | KDD | PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information. | Jianxin Chang, Chenbin Zhang, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, Kun Gai |
| 2023 | KDD | Graph Contrastive Learning with Generative Adversarial Network. | Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai |
| 2023 | KDD | PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. | Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An |
| 2023 | RecSys | Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. | Yunzhu Pan, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Depeng Jin, Yong Li |
| 2023 | WWW | Reinforcing User Retention in a Billion Scale Short Video Recommender System. | Qingpeng Cai, Shuchang Liu, Xueliang Wang, Tianyou Zuo, Wentao Xie, Bin Yang, Dong Zheng, Peng Jiang, Kun Gai |
| 2023 | WWW | Two-Stage Constrained Actor-Critic for Short Video Recommendation. | Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai |
| 2023 | WWW | Exploration and Regularization of the Latent Action Space in Recommendation. | Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang |
| 2023 | WWW | Multi-Task Recommendations with Reinforcement Learning. | Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai |
| 2023 | WWW | Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective. | Yuan Zhang, Xue Dong, Weijie Ding, Biao Li, Peng Jiang, Kun Gai |
| 2023 | WWW | Disentangled Causal Embedding With Contrastive Learning For Recommender System. | Weiqi Zhao, Dian Tang, Xin Chen, Dawei Lv, Daoli Ou, Biao Li, Peng Jiang, Kun Gai |
| 2023 | SIGIR | When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. | Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen |
| 2023 | SIGIR | Multi-behavior Self-supervised Learning for Recommendation. | Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai |
| 2022 | CIKM | Real-time Short Video Recommendation on Mobile Devices. | Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang, Kun Gai |
| 2022 | KDD | 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, Kun Gai |
| 2021 | KDD | 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, Kun Gai, Kuang-Chih Lee |
| 2021 | WSDM | Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. | Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai |
| 2020 | AAAI | Progressive Feature Polishing Network for Salient Object Detection. | Bo Wang, Quan Chen, Min Zhou, Zhiqiang Zhang, Xiaogang Jin, Kun Gai |
| 2020 | CIKM | 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 |
| 2020 | CIKM | 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 |
| 2020 | CIKM | 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 |
| 2020 | ICML | 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 |
| 2020 | ICML | Learning Optimal Tree Models under Beam Search. | Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai |
| 2020 | IJCAI | 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 |
| 2020 | SIGIR | A Deep Recurrent Survival Model for Unbiased Ranking. | Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai |
| 2019 | AAAI | 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 |
| 2019 | CIKM | 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 |
| 2019 | CIKM | 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 |
| 2019 | EMNLP | Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation. | Zhangming Chan, Xiuying Chen, Yongliang Wang, Juntao Li, Zhiqiang Zhang, Kun Gai, Dongyan Zhao, Rui Yan |
| 2019 | ICASSP | Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder. | Yuchi Zhang, Yongliang Wang, Liping Zhang, Zhiqiang Zhang, Kun Gai |
| 2019 | KDD | Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. | Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu, Kun Gai |
| 2019 | KDD | Bid Optimization by Multivariable Control in Display Advertising. | Xun Yang, Yasong Li, Hao Wang, Di Wu, Qing Tan, Jian Xu, Kun Gai |
| 2019 | SIGIR | Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. | Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai |
| 2018 | AAAI | 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 |
| 2018 | CIKM | 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, Zhiqiang Zhang, Xiaoqiang Zhu, Yu Zhang, Kun Gai |
| 2018 | CIKM | Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. | Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang |
| 2018 | CIKM | Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising. | Di Wu, Xiujun Chen, Xun Yang, Hao Wang, Qing Tan, Xiaoxun Zhang, Jian Xu, Kun Gai |
| 2018 | KDD | 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 |
| 2018 | KDD | Learning Tree-based Deep Model for Recommender Systems. | Han Zhu, Xiang Li, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai |
| 2018 | SIGIR | Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate. | Xiao Ma, Liqin Zhao, Guan Huang, Zhi Wang, Zelin Hu, Xiaoqiang Zhu, Kun Gai |
| 2017 | KDD | Optimized Cost per Click in Taobao Display Advertising. | Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai |
| 2013 | ICASSP | Efficient blind separation of reflection layers with nonparametric transformations. | Han Li, Kun Gai, Pinghua Gong, Changshui Zhang |
| 2010 | AAAI | Learning Discriminative Piecewise Linear Models with Boundary Points. | Kun Gai, Changshui Zhang |
| 2009 | CVPR | Blind separation of superimposed images with unknown motions. | Kun Gai, Zhenwei Shi, Changshui Zhang |
| 2008 | CVPR | Blindly separating mixtures of multiple layers with spatial shifts. | Kun Gai, Zhenwei Shi, Changshui Zhang |