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Guorui Zhou
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2020 – today
- 2024
- [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 - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - 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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last updated on 2024-08-28 23:32 CEST by the dblp team
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