Guorui Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
53
Venues
11
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
53 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 | Beyond Tokens: Dynamic Latent Reasoning via Semantic Residual Refinement. | Fangrui Lv, Lei Wang, Ruixin Hong, Yong Du, Xiangyu Wu, Tingting Gao, Guorui Zhou, Changshui Zhang |
| 2026 | AAAI | TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs. | Yunxiao Wang, Meng Liu, Wenqi Liu, Xuemeng Song, Bin Wen, Fan Yang, Tingting Gao, Di Zhang, Guorui Zhou, Liqiang Nie |
| 2026 | ACL | 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 |
| 2026 | ACL | Why Can Distillation Work with Limited Resources? A Systematic Study. | Xiao Hu, Xingyu Lu, Liyuan Mao, Yifan Zhang, Tianke Zhang, Bin Wen, Fan Yang, Tingting Gao, Guorui Zhou |
| 2026 | ACL | Compressing then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding. | Da Li, Yuxiao Luo, Keping Bi, Jiafeng Guo, Wei Yuan, Biao Yang, Yan Wang, Fan Yang, Tingting Gao, Guorui Zhou |
| 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 | Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper Reasoning. | Can Xie, Ruotong Pan, Xiangyu Wu, Yunfei Zhang, Jiayi Fu, Tingting Gao, 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 | DiffGRM: Diffusion-based Generative Recommendation Model. | Zhao Liu, Yichen Zhu, Yiqing Yang, Xiao Lv, Guoping Tang, Rui Huang, Qiang Luo, Ruiming Tang, Guorui Zhou |
| 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 | Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learning. | Guanting Dong, Yifei Chen, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Yutao Zhu, Hangyu Mao, Guorui Zhou, Zhicheng Dou, Ji-Rong Wen |
| 2026 | SIGIR | ReST: A Plug-and-Play Spatially-Constrained Representation Enhancement Framework for Local-Life Recommendation. | Hao Jiang, Long Zhang, Guoquan Wang, Sheng Yu, Yang Zeng, Wencong Zeng, Fei Pan, Peng Jiang, Guorui Zhou |
| 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 | Foresight Prediction Enhanced Live-Streaming Recommendation. | Jiangxia Cao, Ruochen Yang, Xiang Chen, Changxin Lao, Yueyang Liu, Yusheng Huang, Yuanhao Tian, Xiangyu Wu, Shuang Yang, Zhaojie Liu, Guorui Zhou |
| 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 | Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. | Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang |
| 2025 | CIKM | Transformers are Good Clusterers for Lifelong User Behavior Sequence Modeling. | Xingmei Wang, Shiyao Wang, Wuchao Li, Jiaxin Deng, Song Lu, Defu Lian, Guorui Zhou |
| 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 | Taming Ultra-Long Behavior Sequence in Session-wise Generative Recommendation. | Wuchao Li, Shiyao Wang, Kuo Cai, Jiaxin Deng, Xingmei Wang, Qigen Hu, Defu Lian, Guorui Zhou |
| 2025 | CIKM | 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, Qigen Hu, Changqing Qiu, Jiaqi Zhang, Xu Zhang, Zhiheng Yan, Jingming Zhang, Simin Zhang, Mingxing Wen, Zhaojie Liu, Guorui Zhou |
| 2025 | CIKM | MARM: Unlocking the Recommendation Cache Scaling-Law through Memory Augmentation and Scalable Complexity. | Xiao Lv, Jiangxia Cao, Shijie Guan, Xiaoyou Zhou, Zhiguang Qi, Yaqiang Zang, Ben Wang, Guorui Zhou |
| 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 | 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 | KDD | HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou. | Xu Wang, Jiangxia Cao, Zhiyi Fu, Kun Gai, Guorui Zhou |
| 2025 | SIGIR | Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation. | Zhiyu He, Zhixin Ling, Jiayu Li, Zhiqiang Guo, Weizhi Ma, Xinchen Luo, Min Zhang, Guorui Zhou |
| 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 | WSDM | DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. | Wuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng, Qi Liu, Na Mou, Guorui Zhou, Defu Lian, Yang Song, Wentian Bao, Enyun Yu, Wenwu Ou |
| 2024 | IJCAI | Federated Adaptation for Foundation Model-based Recommendations. | Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang |
| 2024 | KDD | MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion. | Jiaxin Deng, Shiyao Wang, Yuchen Wang, Jiansong Qi, Liqin Zhao, Guorui Zhou, Gaofeng Meng |
| 2024 | KDD | Contextual Distillation Model for Diversified Recommendation. | Fan Li, Xu Si, Shisong Tang, Dingmin Wang, Kunyan Han, Bing Han, Guorui Zhou, Yang Song, Hechang Chen |
| 2024 | WWW | De-Anchor: Mitigating Attention Polarization for Lifelong User Behavior Modeling in Click-Through Rate Prediction. | Hongzun Liu, Kang Yin, Tianyu Sun, Rui Huang, Yunsong Li, Xiao Fang, Zhaojie Liu, Weidong Liu, Guorui Zhou |
| 2023 | ICDE | Instant Representation Learning for Recommendation over Large Dynamic Graphs. | Cheng Wu, Chaokun Wang, Jingcao Xu, Ziwei Fang, Tiankai Gu, Changping Wang, Yang Song, Kai Zheng, Xiaowei Wang, Guorui Zhou |
| 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 | WSDM | CAN: Feature Co-Action Network for Click-Through Rate Prediction. | Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Yong-Nan Zhu, Zhangming Chan, Na Mou, Xinchen Luo, Shiming Xiang, Guorui Zhou, Xiaoqiang Zhu, Hongbo Deng |
| 2021 | CIKM | One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. | Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Hongbo Deng, Xiaoqiang Zhu |
| 2021 | KDD | Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling. | Siyu Gu, Xiang-Rong Sheng, Ying Fan, Guorui Zhou, Xiaoqiang Zhu |
| 2021 | KDD | 3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. | Xiaoqiang Zhu, Kuang-chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang |
| 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 | 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 | KDD | Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. | Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu, 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 | 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 |
| 2016 | SNPD | Hierarchical Latent Semantic Mapping for automated topic generation. | Guorui Zhou, Guang Chen |