Guorui Zhou

According to our database, Guorui Zhou authored at least 41 papers between 2016 and 2024.

Collaborative distances:

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

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

A Unified Framework for Cross-Domain Recommendation.

Jiangxia Cao, Shen Wang, Gaode Chen, Rui Huang, Shuang Yang, Zhaojie Liu, Guorui Zhou

CoRR, 2024

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

CoRR, 2024

Moment&Cross: Next-Generation Real-Time Cross-Domain CTR Prediction for Live-Streaming Recommendation at Kuaishou.

Jiangxia Cao, Shen Wang, Yue Li, Shenghui Wang, Jian Tang, Shiyao Wang, Shuang Yang, Zhaojie Liu, Guorui Zhou

CoRR, 2024

HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou.

Xu Wang, Jiangxia Cao, Zhiyi Fu, Kun Gai, Guorui Zhou

CoRR, 2024

End-to-end training of Multimodal Model and ranking Model.

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

CoRR, 2024

Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model.

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

CoRR, 2024

Ensure Timeliness and Accuracy: A Novel Sliding Window Data Stream Paradigm for Live Streaming Recommendation.

Fengqi Liang, Baigong Zheng, Liqin Zhao, Guorui Zhou, Qian Wang, Yanan Niu

CoRR, 2024

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Contextual Distillation Model for Diversified Recommendation.

Fan Li, Xu Si, Shisong Tang, Dingmin Wang, Kunyan Han, Bing Han, Guorui Zhou, Yang Song, Hechang Chen

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

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

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

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Multimodal Transformer for Live Streaming Highlight Prediction.

Jiaxin Deng, Shiyao Wang, Dong Shen, Liqin Zhao, Fan Yang, Guorui Zhou, Gaofeng Meng

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

ContentCTR: Frame-level Live Streaming Click-Through Rate Prediction with Multimodal Transformer.

Jiaxin Deng, Dong Shen, Shiyao Wang, Xiangyu Wu, Fan Yang, Guorui Zhou, Gaofeng Meng

CoRR, 2023

An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint.

Ziang Yan, Shusen Wang, Guorui Zhou, Jingjian Lin, Peng Jiang

CoRR, 2023

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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

A Novel Airborne Molecular Contaminants Sensor Based on Sagnac Microfiber Structure.

Guorui Zhou, Siheng Xiang, Hui You, Chunling Li, Longfei Niu, Yilan Jiang, Xin-Xiang Miao, Xiufang Xie

Sensors, 2022

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

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

An Ultra-Sensitive Multi-Functional Optical Micro/Nanofiber Based on Stretchable Encapsulation.

Siheng Xiang, Hui You, Xin-Xiang Miao, Longfei Niu, Caizhen Yao, Yilan Jiang, Guorui Zhou

Sensors, 2021

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, Xiaoqiang Zhu

CoRR, 2021

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling.

Siyu Gu, Xiang-Rong Sheng, Ying Fan, Guorui Zhou, Xiaoqiang Zhu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction.

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

CoRR, 2020

COLD: Towards the Next Generation of Pre-Ranking System.

Zhe Wang, Liqin Zhao, Biye Jiang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai

CoRR, 2020

DCAF: A Dynamic Computation Allocation Framework for Online Serving System.

Biye Jiang, Pengye Zhang, Rihan Chen, Binding Dai, Xinchen Luo, Yin Yang, Guan Wang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai

CoRR, 2020

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

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

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

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

2019

Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling.

Guorui Zhou, Kailun Wu, Weijie Bian, Zhao Yang, Xiaoqiang Zhu, Kun Gai

CoRR, 2019

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

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction.

Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu, Kun Gai

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

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

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

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

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

High Sensitivity Refractometer Based on Reflective Smf-Small Diameter No Core Fiber Structure.

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

Sensors, 2017

An effective on-line surface particles inspection instrument for large aperture optical element.

Wendong Ding, Zhengtao Zhang, Da-Peng Zhang, De Xu, Hai-Bing Lv, Xin-Xiang Miao, Guorui Zhou, Hao Liu

Int. J. Autom. Comput., 2017

Image Matters: Jointly Train Advertising CTR Model with Image Representation of Ad and User Behavior.

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

CoRR, 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

2016

Hierarchical Latent Semantic Mapping for Automated Topic Generation.

Guorui Zhou, Guang Chen

Int. J. Networked Distributed Comput., 2016