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ORCIDYuan Zhang 0024
Person information
- affiliation: Kuaishou Technology Co., Ltd, Beijing, China
- affiliation: Peking University, Department of Machine Intelligence, Key Laboratory of Machine Perception, Beijng, China
Other persons with the same name
- Yuan Zhang (aka: Yu-an Zhang, Yuan-Zhang) — disambiguation page
- Yuan Zhang 0001 — Google Research, Mountain View, CA, USA (and 2 more)
- Yuan Zhang 0002
![[0000-0002-8842-2691]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8842-2691")
— Southeast University, National Mobile Communications Research Laboratory, Nanjing, China - Yuan Zhang 0003 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Yuan Zhang 0004 — Nanjing University, Computer Science and Technology Department, State Key Laboratory for Novel Software Technology, Nanjing, China (and 1 more)
- Yuan Zhang 0005 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Yuan Zhang 0006 — University of Electronic Science and Technology of China, Center for Cyber Security, Chengdu, China
- Yuan Zhang 0007 — Southwest University, College of Electronic and Information Engineering, Chongqing, China (and 1 more)
- Yuan Zhang 0008 — Arizona State University, Tempe, AZ, USA
- Yuan Zhang 0009 — Fudan University, School of Computer Science, Shanghai, China
- Yuan Zhang 0010 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China (and 3 more)
- Yuan Zhang 0011 — University of New South Wales, School of Electrical Engineering and Telecommunications, Sydney, NSW, Australia
- Yuan Zhang 0012 — University of Texas at Dallas, Naveen Jindal School of Management, Richardson, TX, USA
- Yuan Zhang 0013 — Communication University of China, State Key Laboratory of Media Convergence and Communication, Beijing, China (and 1 more)
- Yuan Zhang 0014 — Communication University of China, TV Engineering Department, Beijing, China (and 3 more)
- Yuan Zhang 0015 — Westlake University, School of Engineering, Hangzhou, China (and 2 more)
- Yuan Zhang 0016 — Beijing Institute of Technology, School of Automation, China (and 1 more)
- Yuan Zhang 0017 — China University of Geosciences, Beijing, China
- Yuan Zhang 0018 — South China University of Technology, School of Mechanical and Automotive Engineering, Guangzhou, China
- Yuan Zhang 0019 — Southeast University, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Nanjing, China
- Yuan Zhang 0020 — Peking University, Center on Frontiers of Computing Studies, Beijing, China
- Yuan Zhang 0022 — Xiangtan University, Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, China (and 1 more)
- Yuan Zhang 0023 — China Telecom Corporation Ltd., China Telecom Research Institute, CTRI, Beijing Research Institute, Shanghai, China
- Yuan Zhang 0025 — Fudan University, Academy for Engineering & Technology, Laboratory for Neural Interface and Brain Computer Interface, State Key Laboratory of Medical Neurobiology, Shanghai Engineering Research Center of AI & Robotics, Shanghai, China
- Yuan Zhang 0026 (aka: Yu-an Zhang 0026) — Qinghai University, Department of Computer Technology and Applications, Xining, China
- Yuan Zhang 0027 — University of Freiburg, Department of Computer Science, Neurorobotics Lab, Freiburg, Germany
- Yuan Zhang 0028 — Apple Inc., Pittsburgh, PA, USA (and 1 more)
- Yuan Zhang 0029 — North Carolina State University, Department of Electrical and Computer Engineering, Advanced Diagnosis, Automation, and Control Laboratory, Raleigh, NC, USA
- Yuan Zhang 0030 — Beijing University of Technology, College of Electronic Information and Control Engineering, Beijing, China
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2020 – today
- 2024
[j2]Chongming Gao, Shiqi Wang, Shijun Li, Jiawei Chen, Xiangnan He, Wenqiang Lei, Biao Li, Yuan Zhang, Peng Jiang:
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. ACM Trans. Inf. Syst. 42(1): 14:1-14:27 (2024)- [c15]Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie:
Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation. WSDM 2024: 1003-1011 - [c14]Yifan Wang, Peijie Sun, Weizhi Ma, Min Zhang, Yuan Zhang, Peng Jiang, Shaoping Ma:
Intersectional Two-sided Fairness in Recommendation. WWW 2024: 3609-3620 - [i14]Yifan Wang, Peijie Sun, Weizhi Ma, Min Zhang, Yuan Zhang, Peng Jiang, Shaoping Ma:
Intersectional Two-sided Fairness in Recommendation. CoRR abs/2402.02816 (2024) - 2023
- [c13]Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He:
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. SIGIR 2023: 238-248 - [c12]Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang:
Measuring Item Global Residual Value for Fair Recommendation. SIGIR 2023: 269-278 - [c11]Yuan Zhang, Xue Dong, Weijie Ding, Biao Li, Peng Jiang, Kun Gai:
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective. WWW (Companion Volume) 2023: 366-370 - [i13]Yuan Zhang, Xue Dong, Weijie Ding, Biao Li, Peng Jiang, Kun Gai:
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective. CoRR abs/2302.02657 (2023) - [i12]Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He:
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. CoRR abs/2307.04571 (2023) - [i11]Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang:
Measuring Item Global Residual Value for Fair Recommendation. CoRR abs/2307.08259 (2023) - [i10]Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie:
Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation. CoRR abs/2311.01056 (2023) - 2022
- [c10]Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang, Kun Gai:
Real-time Short Video Recommendation on Mobile Devices. CIKM 2022: 3103-3112 - [c9]Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He:
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. CIKM 2022: 3953-3957 - [c8]Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang:
Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation. WSDM 2022: 343-352 - [c7]Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang:
LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm. WWW 2022: 2310-2319 - [i9]Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang:
LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm. CoRR abs/2201.12585 (2022) - [i8]Chongming Gao, Wenqiang Lei, Jiawei Chen, Shiqi Wang, Xiangnan He, Shijun Li, Biao Li, Yuan Zhang, Peng Jiang:
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. CoRR abs/2204.01266 (2022) - [i7]Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He:
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. CoRR abs/2208.08696 (2022) - [i6]Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang:
Real-time Short Video Recommendation on Mobile Devices. CoRR abs/2208.09577 (2022) - 2021
- [i5]Meiqi Chen, Yuan Zhang, Xiaoyu Kou, Yuntao Li, Yan Zhang:
r-GAT: Relational Graph Attention Network for Multi-Relational Graphs. CoRR abs/2109.05922 (2021) - [i4]Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang:
Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation. CoRR abs/2112.13197 (2021) - 2020
- [j1]Yuan Zhang, Fei Sun, Xiaoyong Yang, Chen Xu, Wenwu Ou, Yan Zhang:
Graph-based Regularization on Embedding Layers for Recommendation. ACM Trans. Inf. Syst. 39(1): 2:1-2:27 (2020) - [c6]Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang:
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. CVPR 2020: 3950-3959 - [c5]Yuan Zhang, Xiaoran Xu, Hanning Zhou, Yan Zhang:
Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation. WSDM 2020: 735-743 - [i3]Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang:
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. CoRR abs/2003.09108 (2020)
2010 – 2019
- 2019
- [c4]Yuan Zhang, Dong Wang, Yan Zhang:
Neural IR Meets Graph Embedding: A Ranking Model for Product Search. WWW 2019: 2390-2400 - [i2]Yuan Zhang, Dong Wang, Yan Zhang:
Neural IR Meets Graph Embedding: A Ranking Model for Product Search. CoRR abs/1901.08286 (2019) - [i1]Yuan Zhang, Xiaoran Xu, Hanning Zhou, Yan Zhang:
Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation. CoRR abs/1912.08422 (2019) - 2018
- [c3]Yuan Zhang, Tianshu Lyu, Yan Zhang:
COSINE: Community-Preserving Social Network Embedding From Information Diffusion Cascades. AAAI 2018: 2620-2627 - 2017
- [c2]Tianshu Lyu, Yuan Zhang, Yan Zhang:
Enhancing the Network Embedding Quality with Structural Similarity. CIKM 2017: 147-156 - [c1]Yuan Zhang, Tianshu Lyu, Yan Zhang:
Hierarchical Community-Level Information Diffusion Modeling in Social Networks. SIGIR 2017: 753-762
Coauthor Index
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