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2020 – today
- 2025
[c26]Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang:
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. AAAI 2025: 13197-13205- [c25]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:
RecFlow: An Industrial Full Flow Recommendation Dataset. ICLR 2025 - [c24]Xu Wang
, Jiangxia Cao, Zhiyi Fu, Kun Gai, Guorui Zhou:
HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou. KDD (1) 2025: 2638-2647 - [c23]Guoquan Wang, Qiang Luo, Weisong Hu, Pengfei Yao, Wencong Zeng, Guorui Zhou, Kun Gai:
FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation. SIGIR 2025: 1748-1757 - [c22]Zhiyu He, Zhixin Ling, Jiayu Li, Zhiqiang Guo, Weizhi Ma, Xinchen Luo, Min Zhang, Guorui Zhou:
Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation. SIGIR 2025: 1880-1890 - [c21]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:
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. WSDM 2025: 726-734 - [i67]Wei Cheng, Yucheng Lu, Boyang Xia, Jiangxia Cao, Kuan Xu, Mingxing Wen, Wei Jiang, Jiaming Zhang, Zhaojie Liu, Liyin Hong, Kun Gai, Guorui Zhou:
ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling. CoRR abs/2502.08277 (2025) - [i66]Jiaxin Deng, Shiyao Wang, Kuo Cai, Lejian Ren, Qigen Hu, Weifeng Ding, Qiang Luo, Guorui Zhou:
OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment. CoRR abs/2502.18965 (2025) - [i65]Zhiyu He, Zhixin Ling, Jiayu Li, Zhiqiang Guo, Weizhi Ma, Xinchen Luo, Min Zhang, Guorui Zhou:
Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation. CoRR abs/2504.04237 (2025) - [i64]Yueyang Liu, Jiangxia Cao, Shen Wang, Shuang Wen, Xiang Chen, Xiangyu Wu, Shuang Yang, Zhaojie Liu, Kun Gai, Guorui Zhou:
LLM-Alignment Live-Streaming Recommendation. CoRR abs/2504.05217 (2025) - [i63]Jingyuan Zhang, Qi Wang, Xingguang Ji, Yahui Liu, Yang Yue, Fuzheng Zhang, Di Zhang, Guorui Zhou, Kun Gai:
Leanabell-Prover: Posttraining Scaling in Formal Reasoning. CoRR abs/2504.06122 (2025) - [i62]Guoquan Wang, Qiang Luo, Weisong Hu, Pengfei Yao, Wencong Zeng, Guorui Zhou, Kun Gai:
FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation. CoRR abs/2504.17814 (2025) - [i61]Jiangxia Cao, Pengbo Xu, Yin Cheng, Kaiwei Guo, Jian Tang, Shijun Wang, Dewei Leng, Shuang Yang, Zhaojie Liu, Yanan Niu, Guorui Zhou, Kun Gai:
Pantheon: Personalized Multi-objective Ensemble Sort via Iterative Pareto Policy Optimization. CoRR abs/2505.13894 (2025) - [i60]Guanting Dong, Yifei Chen, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Yutao Zhu, Hangyu Mao, Guorui Zhou, Zhicheng Dou, Ji-Rong Wen:
Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning. CoRR abs/2505.16410 (2025) - [i59]Fanheng Kong, Jingyuan Zhang, Yahui Liu, Hongzhi Zhang, Shi Feng, Xiaocui Yang, Daling Wang, Yu Tian, Victoria W., Fuzheng Zhang, Guorui Zhou:
Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval. CoRR abs/2505.19650 (2025) - [i58]Xiao Hu, Xingyu Lu, Liyuan Mao, Yifan Zhang, Tianke Zhang, Bin Wen, Fan Yang, Tingting Gao, Guorui Zhou:
Why Distillation can Outperform Zero-RL: The Role of Flexible Reasoning. CoRR abs/2505.21067 (2025) - [i57]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:
OneRec Technical Report. CoRR abs/2506.13695 (2025) - [i56]Kwai Keye Team, Biao Yang, Bin Wen, Changyi Liu, Chenglong Chu, Chengru Song, Chongling Rao, Chuan Yi, Da Li, Dunju Zang, Fan Yang, Guorui Zhou, Hao Peng, Haojie Ding, Jiaming Huang, Jiangxia Cao, Jiankang Chen, Jingyun Hua, Jin Ouyang, Kaibing Chen, Kaiyu Jiang, Kaiyu Tang, Kun Gai, Shengnan Zhang, Siyang Mao, Sui Huang, Tianke Zhang, Tingting Gao, Wei Chen, Wei Yuan, Xiangyu Wu, Xiao Hu, Xingyu Lu, Yang Zhou, Yifan Zhang, Yiping Yang, Yulong Chen, Zhenhua Wu, Zhenyu Li, Zhixin Ling, Ziming Li, Dehua Ma, Di Xu, Haixuan Gao, Hang Li, Jiawei Guo, Jing Wang, Lejian Ren, Muhao Wei, Qianqian Wang, Qigen Hu, Shiyao Wang, Tao Yu, Xinchen Luo, Yan Li, Yiming Liang, Yuhang Hu, Zeyi Lu, Zhuoran Yang, Zixing Zhang:
Kwai Keye-VL Technical Report. CoRR abs/2507.01949 (2025) - [i55]Hongzhi Zhang, Jia Fu, Jingyuan Zhang, Kai Fu, Qi Wang, Fuzheng Zhang, Guorui Zhou:
RLEP: Reinforcement Learning with Experience Replay for LLM Reasoning. CoRR abs/2507.07451 (2025) - [i54]Xingguang Ji, Yahui Liu, Qi Wang, Jingyuan Zhang, Yang Yue, Rui Shi, Chenxi Sun, Fuzheng Zhang, Guorui Zhou, Kun Gai:
Leanabell-Prover-V2: Verifier-integrated Reasoning for Formal Theorem Proving via Reinforcement Learning. CoRR abs/2507.08649 (2025) - [i53]Jiakang Wang, Runze Liu, Fuzheng Zhang, Xiu Li, Guorui Zhou:
Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR. CoRR abs/2507.15778 (2025) - [i52]Guanting Dong, Hangyu Mao, Kai Ma, Licheng Bao, Yifei Chen, Zhongyuan Wang, Zhongxia Chen, Jiazhen Du, Huiyang Wang, Fuzheng Zhang, Guorui Zhou, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou:
Agentic Reinforced Policy Optimization. CoRR abs/2507.19849 (2025) - [i51]Jia Fu, Xinyu Yang, Hongzhi Zhang, Yahui Liu, Jingyuan Zhang, Qi Wang, Fuzheng Zhang, Guorui Zhou:
Klear-CodeTest: Scalable Test Case Generation for Code Reinforcement Learning. CoRR abs/2508.05710 (2025) - [i50]Shihao Yuan, Yahui Liu, Yang Yue, Jingyuan Zhang, Wangmeng Zuo, Qi Wang, Fuzheng Zhang, Guorui Zhou:
AR-GRPO: Training Autoregressive Image Generation Models via Reinforcement Learning. CoRR abs/2508.06924 (2025) - [i49]Guanchen Wang, Mingming Ha, Tianbao Ma, Linxun Chen, Zhaojie Liu, Guorui Zhou, Kun Gai:
Selection and Exploitation of High-Quality Knowledge from Large Language Models for Recommendation. CoRR abs/2508.07223 (2025) - [i48]Zhenpeng Su, Leiyu Pan, Xue Bai, Dening Liu, Guanting Dong, Jiaming Huang, Wenping Hu, Fuzheng Zhang, Kun Gai, Guorui Zhou:
Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization. CoRR abs/2508.07629 (2025) - [i47]Yunxiao Wang, Meng Liu, Wenqi Liu, Kaiyu Jiang, Bin Wen, Fan Yang, Tingting Gao, Guorui Zhou, Liqiang Nie:
COMPEER: Controllable Empathetic Reinforcement Reasoning for Emotional Support Conversation. CoRR abs/2508.09521 (2025) - [i46]Yifan Zhang, Xingyu Lu, Shukang Yin, Chaoyou Fu, Wei Chen, Xiao Hu, Bin Wen, Kaiyu Jiang, Changyi Liu, Tianke Zhang, Haonan Fan, Kaibing Chen, Jiankang Chen, Haojie Ding, Kaiyu Tang, Zhang Zhang, Liang Wang, Fan Yang, Tingting Gao, Guorui Zhou:
Thyme: Think Beyond Images. CoRR abs/2508.11630 (2025) - [i45]Chengcheng Guo, Junda She, Kuo Cai, Shiyao Wang, Qigen Hu, Qiang Luo, Kun Gai, Guorui Zhou:
MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation. CoRR abs/2508.14515 (2025) - [i44]Zhipeng Wei, Kuo Cai, Junda She, Jie Chen, Minghao Chen, Yang Zeng, Qiang Luo, Wencong Zeng, Ruiming Tang, Kun Gai, Guorui Zhou:
OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service. CoRR abs/2508.14646 (2025) - [i43]Yalong Guan, Xiang Chen, Mingyang Wang, Xiangyu Wu, Lihao Liu, Chao Qi, Shuang Yang, Tingting Gao, Guorui Zhou, Changjian Chen:
Multimodal Recommendation via Self-Corrective Preference Alignmen. CoRR abs/2508.14912 (2025) - [i42]Yijia Sun, Shanshan Huang, Linxiao Che, Haitao Lu, Qiang Luo, Kun Gai, Guorui Zhou:
MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever. CoRR abs/2508.20400 (2025) - [i41]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:
OneRec-V2 Technical Report. CoRR abs/2508.20900 (2025) - [i40]Biao Yang, Bin Wen, Boyang Ding, Changyi Liu, Chenglong Chu, Chengru Song, Chongling Rao, Chuan Yi, Da Li, Dunju Zang, Fan Yang, Guorui Zhou, Guowang Zhang, Han Shen, Hao Peng, Haojie Ding, Hao Wang, Haonan Fan, Hengrui Ju, Jiaming Huang, Jiangxia Cao, Jiankang Chen, Jingyun Hua, Kaibing Chen, Kaiyu Jiang, Kaiyu Tang, Kun Gai, Muhao Wei, Qiang Wang, Ruitao Wang, Sen Na, Shengnan Zhang, Siyang Mao, Sui Huang, Tianke Zhang, Tingting Gao, Wei Chen, Wei Yuan, Xiangyu Wu, Xiao Hu, Xingyu Lu, Yifan Zhang, Yiping Yang, Yulong Chen, Zeyi Lu, Zhenhua Wu, Zhixin Ling, Zhuoran Yang, Ziming Li, Di Xu, Haixuan Gao, Hang Li, Jing Wang, Lejian Ren, Qigen Hu, Qianqian Wang, Shiyao Wang, Xinchen Luo, Yan Li, Yuhang Hu, Zixing Zhang:
Kwai Keye-VL 1.5 Technical Report. CoRR abs/2509.01563 (2025) - [i39]Zhenpeng Su, Leiyu Pan, Minxuan Lv, Yuntao Li, Wenping Hu, Fuzheng Zhang, Kun Gai, Guorui Zhou:
CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning. CoRR abs/2509.20712 (2025) - [i38]Runze Liu, Jiakang Wang, Yuling Shi, Zhihui Xie, Chenxin An, Kaiyan Zhang, Jian Zhao, Xiaodong Gu, Lei Lin, Wenping Hu, Xiu Li, Fuzheng Zhang, Guorui Zhou, Kun Gai:
Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models. CoRR abs/2509.26628 (2025) - [i37]Jiakang Wang, Runze Liu, Lei Lin, Wenping Hu, Xiu Li, Fuzheng Zhang, Guorui Zhou, Kun Gai:
ASPO: Asymmetric Importance Sampling Policy Optimization. CoRR abs/2510.06062 (2025) - 2024
- [c20]Jiaxin Deng, Shiyao Wang, Dong Shen, Liqin Zhao, Fan Yang, Guorui Zhou, Gaofeng Meng:
A Multimodal Transformer for Live Streaming Highlight Prediction. ICME 2024: 1-6 - [c19]Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang:
Federated Adaptation for Foundation Model-based Recommendations. IJCAI 2024: 5453-5461 - [c18]Jiaxin Deng, Shiyao Wang, Yuchen Wang, Jiansong Qi, Liqin Zhao, Guorui Zhou, Gaofeng Meng:
MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion. KDD 2024: 4896-4905 - [c17]Fan Li, Xu Si, Shisong Tang, Dingmin Wang, Kunyan Han, Bing Han, Guorui Zhou, Yang Song, Hechang Chen:
Contextual Distillation Model for Diversified Recommendation. KDD 2024: 5307-5316 - [c16]Hongzun Liu, Kang Yin, Tianyu Sun, Rui Huang, Yunsong Li, Xiao Fang, Zhaojie Liu, Weidong Liu, Guorui Zhou:
De-Anchor: Mitigating Attention Polarization for Lifelong User Behavior Modeling in Click-Through Rate Prediction. WWW (Companion Volume) 2024: 694-697 - [i36]Fengqi Liang, Baigong Zheng, Liqin Zhao, Guorui Zhou, Qian Wang, Yanan Niu:
Ensure Timeliness and Accuracy: A Novel Sliding Window Data Stream Paradigm for Live Streaming Recommendation. CoRR abs/2402.14399 (2024) - [i35]Xinrun Du, Zhouliang Yu, Songyang Gao, Ding Pan, Yuyang Cheng, Ziyang Ma, Ruibin Yuan, Xingwei Qu, Jiaheng Liu, Tianyu Zheng, Xinchen Luo, Guorui Zhou, Binhang Yuan, Wenhu Chen, Jie Fu, Ge Zhang:
Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model. CoRR abs/2404.04167 (2024) - [i34]Xiuqi Deng, Lu Xu, Xiyao Li, Jinkai Yu, Erpeng Xue, Zhongyuan Wang, Di Zhang, Zhaojie Liu, Guorui Zhou, Yang Song, Na Mou, Shen Jiang, Han Li:
End-to-end training of Multimodal Model and ranking Model. CoRR abs/2404.06078 (2024) - [i33]Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang:
Federated Adaptation for Foundation Model-based Recommendations. CoRR abs/2405.04840 (2024) - [i32]Fan Li, Xu Si, Shisong Tang, Dingmin Wang, Kunyan Han, Bing Han, Guorui Zhou, Yang Song, Hechang Chen:
Contextual Distillation Model for Diversified Recommendation. CoRR abs/2406.09021 (2024) - [i31]Jiaxin Deng, Shiyao Wang, Yuchen Wang, Jiansong Qi, Liqin Zhao, Guorui Zhou, Gaofeng Meng:
MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion. CoRR abs/2407.00056 (2024) - [i30]Jiaxin Deng, Shiyao Wang, Dong Shen, Liqin Zhao, Fan Yang, Guorui Zhou, Gaofeng Meng:
A Multimodal Transformer for Live Streaming Highlight Prediction. CoRR abs/2407.12002 (2024) - [i29]Xu Wang, Jiangxia Cao, Zhiyi Fu, Kun Gai, Guorui Zhou:
HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou. CoRR abs/2408.05430 (2024) - [i28]Jiangxia Cao, Shen Wang, Yue Li, Shenghui Wang, Jian Tang, Shiyao Wang, Shuang Yang, Zhaojie Liu, Guorui Zhou:
Moment&Cross: Next-Generation Real-Time Cross-Domain CTR Prediction for Live-Streaming Recommendation at Kuaishou. CoRR abs/2408.05709 (2024) - [i27]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:
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. CoRR abs/2408.12153 (2024) - [i26]Jiangxia Cao, Shen Wang, Gaode Chen, Rui Huang, Shuang Yang, Zhaojie Liu, Guorui Zhou:
A Unified Framework for Cross-Domain Recommendation. CoRR abs/2409.04540 (2024) - [i25]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:
RecFlow: An Industrial Full Flow Recommendation Dataset. CoRR abs/2410.20868 (2024) - [i24]Xiao Lv, Jiangxia Cao, Shijie Guan, Xiaoyou Zhou, Zhiguang Qi, Yaqiang Zang, Ming Li, Ben Wang, Kun Gai, Guorui Zhou:
MARM: Unlocking the Future of Recommendation Systems through Memory Augmentation and Scalable Complexity. CoRR abs/2411.09425 (2024) - [i23]Chi Liu, Jiangxia Cao, Rui Huang, Kai Zheng, Qiang Luo, Kun Gai, Guorui Zhou:
KuaiFormer: Transformer-Based Retrieval at Kuaishou. CoRR abs/2411.10057 (2024) - [i22]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, Kun Gai, Guorui Zhou:
QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou. CoRR abs/2411.11739 (2024) - [i21]Chi Liu, Jiangxia Cao, Rui Huang, Kuo Cai, Weifeng Ding, Qiang Luo, Kun Gai, Guorui Zhou:
CRM: Retrieval Model with Controllable Condition. CoRR abs/2412.13844 (2024) - [i20]Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang:
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. CoRR abs/2412.16969 (2024) - 2023
- [c15]Cheng Wu, Chaokun Wang, Jingcao Xu, Ziwei Fang, Tiankai Gu, Changping Wang, Yang Song, Kai Zheng, Xiaowei Wang, Guorui Zhou:
Instant Representation Learning for Recommendation over Large Dynamic Graphs. ICDE 2023: 82-95 - [c14]Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai:
Multi-behavior Self-supervised Learning for Recommendation. SIGIR 2023: 496-505 - [i19]Ziang Yan, Shusen Wang, Guorui Zhou, Jingjian Lin, Peng Jiang:
An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint. CoRR abs/2302.04477 (2023) - [i18]Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai:
Multi-behavior Self-supervised Learning for Recommendation. CoRR abs/2305.18238 (2023) - [i17]Cheng Wu, Chaokun Wang, Jingcao Xu, Ziwei Fang, Tiankai Gu, Changping Wang, Yang Song, Kai Zheng, Xiaowei Wang, Guorui Zhou:
Instant Representation Learning for Recommendation over Large Dynamic Graphs. CoRR abs/2305.18622 (2023) - [i16]Jiaxin Deng, Dong Shen, Shiyao Wang, Xiangyu Wu, Fan Yang, Guorui Zhou, Gaofeng Meng:
ContentCTR: Frame-level Live Streaming Click-Through Rate Prediction with Multimodal Transformer. CoRR abs/2306.14392 (2023) - 2022
- [j5]Guorui Zhou, Siheng Xiang, Hui You, Chunling Li, Longfei Niu, Yilan Jiang, Xin-Xiang Miao, Xiufang Xie:
A Novel Airborne Molecular Contaminants Sensor Based on Sagnac Microfiber Structure. Sensors 22(4): 1520 (2022) - [c13]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:
CAN: Feature Co-Action Network for Click-Through Rate Prediction. WSDM 2022: 57-65 - 2021
- [j4]Siheng Xiang, Hui You, Xin-Xiang Miao, Longfei Niu, Caizhen Yao, Yilan Jiang, Guorui Zhou:
An Ultra-Sensitive Multi-Functional Optical Micro/Nanofiber Based on Stretchable Encapsulation. Sensors 21(22): 7437 (2021) - [c12]Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Hongbo Deng, Xiaoqiang Zhu:
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. CIKM 2021: 4104-4113 - [c11]Siyu Gu, Xiang-Rong Sheng, Ying Fan, Guorui Zhou, Xiaoqiang Zhu:
Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling. KDD 2021: 2890-2898 - [c10]Xiaoqiang Zhu, Kuang-chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang:
3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. KDD 2021: 4187-4188 - [i15]Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Xiaoqiang Zhu:
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. CoRR abs/2101.11427 (2021) - [i14]Siyu Gu, Xiang-Rong Sheng, Ying Fan, Guorui Zhou, Xiaoqiang Zhu:
Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling. CoRR abs/2104.14121 (2021) - 2020
- [c9]Qi Pi, Guorui Zhou, Yujing Zhang, Zhe Wang, Lejian Ren, Ying Fan, Xiaoqiang Zhu, Kun Gai:
Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction. CIKM 2020: 2685-2692 - [c8]Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai:
A Deep Recurrent Survival Model for Unbiased Ranking. SIGIR 2020: 29-38 - [i13]Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai:
A Deep Recurrent Survival Model for Unbiased Ranking. CoRR abs/2004.14714 (2020) - [i12]Qi Pi, Xiaoqiang Zhu, Guorui Zhou, Yujing Zhang, Zhe Wang, Lejian Ren, Ying Fan, Kun Gai:
Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction. CoRR abs/2006.05639 (2020) - [i11]Biye Jiang, Pengye Zhang, Rihan Chen, Binding Dai, Xinchen Luo, Yin Yang, Guan Wang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai:
DCAF: A Dynamic Computation Allocation Framework for Online Serving System. CoRR abs/2006.09684 (2020) - [i10]Zhe Wang, Liqin Zhao, Biye Jiang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai:
COLD: Towards the Next Generation of Pre-Ranking System. CoRR abs/2007.16122 (2020) - [i9]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, Shiming Xiang, Kun Gai, Xiaoqiang Zhu, Jian Xu:
CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction. CoRR abs/2011.05625 (2020)
2010 – 2019
- 2019
- [c7]Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai:
Deep Interest Evolution Network for Click-Through Rate Prediction. AAAI 2019: 5941-5948 - [c6]Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu, Kun Gai:
Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. KDD 2019: 2671-2679 - [c5]Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai:
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. SIGIR 2019: 565-574 - [i8]Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai:
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. CoRR abs/1905.00758 (2019) - [i7]Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu, Kun Gai:
Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. CoRR abs/1905.09248 (2019) - [i6]Guorui Zhou, Kailun Wu, Weijie Bian, Zhao Yang, Xiaoqiang Zhu, Kun Gai:
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling. CoRR abs/1906.10304 (2019) - 2018
- [c4]Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai:
Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net. AAAI 2018: 4580-4587 - [c3]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:
Image Matters: Visually Modeling User Behaviors Using Advanced Model Server. CIKM 2018: 2087-2095 - [c2]Guorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai:
Deep Interest Network for Click-Through Rate Prediction. KDD 2018: 1059-1068 - [i5]Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai:
Deep Interest Evolution Network for Click-Through Rate Prediction. CoRR abs/1809.03672 (2018) - 2017
- [j3]Wendong Ding, Zhengtao Zhang, Da-Peng Zhang, De Xu, Hai-Bing Lv, Xin-Xiang Miao, Guorui Zhou, Hao Liu:
An effective on-line surface particles inspection instrument for large aperture optical element. Int. J. Autom. Comput. 14(4): 420-431 (2017) - [j2]Guorui Zhou, Qiang Wu, Rahul Kumar, Wai Pang Ng, Hao Liu, Longfei Niu, Nageswara Lalam, Xiaodong Yuan, Yuliya Semenova, Gerald Farrell, Jinhui Yuan, Chongxiu Yu, Jie Zeng, Gui Yun Tian, Yong Qing Fu:
High Sensitivity Refractometer Based on Reflective Smf-Small Diameter No Core Fiber Structure. Sensors 17(6): 1415 (2017) - [i4]Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Xiao Ma, Yanghui Yan, Xingya Dai, Han Zhu, Junqi Jin, Han Li, Kun Gai:
Deep Interest Network for Click-Through Rate Prediction. CoRR abs/1706.06978 (2017) - [i3]Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai:
Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light Net. CoRR abs/1708.04106 (2017) - [i2]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:
Image Matters: Jointly Train Advertising CTR Model with Image Representation of Ad and User Behavior. CoRR abs/1711.06505 (2017) - 2016
- [j1]Guorui Zhou, Guang Chen:
Hierarchical Latent Semantic Mapping for Automated Topic Generation. Int. J. Networked Distributed Comput. 4(2): 127-136 (2016) - [c1]Guorui Zhou, Guang Chen:
Hierarchical Latent Semantic Mapping for automated topic generation. SNPD 2016: 57-63 - 2015
- [i1]Guorui Zhou, Guang Chen:
Hierarchical Latent Semantic Mapping for Automated Topic Generation. CoRR abs/1511.03546 (2015)
Coauthor Index
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