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ORCIDXiao Zhang 0034
Person information
- affiliation: Renmin University of China, Gaoling School of Articial Intelligence, China
Other persons with the same name
- Xiao Zhang — disambiguation page
- Xiao Zhang 0001
![[0009-0001-1857-1368]](https://dblp.org/img/orcid-mark.12x12.png "0009-0001-1857-1368")
— Renmin University of China, School of Information, Beijing, China (and 1 more) - Xiao Zhang 0002 — University of Twente, Centre of Telecommunication and Information Technology, Enschede, The Netherlands
- Xiao Zhang 0003 — University of Denver, Department of Electrical and Computer Engineering, CO, USA
- Xiao Zhang 0004 — Beihang University, School of Mathematics and Systems Science, Beijing, China
- Xiao Zhang 0005 — Carnegie Mellon University, Department of Electrical and Computer Engineering, Pittsburgh, PA, USA
- Xiao Zhang 0006 — South-Central Minzu University, College of Computer Science, Hubei Provincial Engineering Research Center for Intelligent Management of Manufacturing Enterprises, Wuhan, China (and 2 more)
- Xiao Zhang 0007 — Chinese Academy of Sciences, National Center for Mathematics and Inter-Disciplinary Sciences, Beijing, China (and 1 more)
- Xiao Zhang 0008 — Tsinghua University, RIIT / School of Aerospace Engineering, Beijing, China
- Xiao Zhang 0009 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Xiao Zhang 0010 — Shenzhen University, College of Information Engineering, Shenzhen, China (and 1 more)
- Xiao Zhang 0011 — Southern Methodist University, Department of Mechanical Engineering, Dallas, TX, USA
- Xiao Zhang 0012 — Xi'an University of Technology, Department of Applied Mathematics, Xi'an, China (and 2 more)
- Xiao Zhang 0013 — Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing, China
- Xiao Zhang 0014 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
- Xiao Zhang 0015 — Shandong University, School of Computer Science and Technology, Qingdao, China (and 1 more)
- Xiao Zhang 0016 — University of Virginia, Department of Computer Science, Charlottesville, VA, USA
- Xiao Zhang 0017 — Purdue University, Department of Computer Science, West Lafayette, VA, USA
- Xiao Zhang 0018 — Onething Technologies Co., Ltd, Shenzhen, China
- Xiao Zhang 0019 — Pennsylvania State University, GeoVISTA Center, PA, USA
- Xiao Zhang 0020 — Wuhan University of Technology, School of Mechanical and Electronic Engineering, Hubei Digital Manufacturing Key Laboratory, China
- Xiao Zhang 0021 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
- Xiao Zhang 0022 — University of Mississippi Medical Center, Department of Neurobiology, Jackson, MS, USA
- Xiao Zhang 0023 — Beijing Jiaotong University, Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, China
- Xiao Zhang 0024 — Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Xiao Zhang 0025 — Yunnan University, School of International Education, Kunming, China
- Xiao Zhang 0026 — Southern Medical University, School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing, Guangzhou, China
- Xiao Zhang 0027 — Dalian Maritime University, Information Science and Technology College, China
- Xiao Zhang 0028 — Northwest University, School of Information Science and Technology, Xi'an, China
- Xiao Zhang 0030 — Hebei North University, School of Information Science and Engineering, Zhangjiakou, China
- Xiao Zhang 0031 — Xiamen University of Technology, College of Computer and Information Engineering, China
- Xiao Zhang 0032 — Xidian University, School of Economics and Management, Xi'an, China (and 1 more)
- Xiao Zhang 0033 — Beijing Institute of Technology, School of Life Science, China
- Xiao Zhang 0035 — Huazhong University of Science and Technology, Ministry of Education Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Wuhan, China
- Xiao Zhang 0036 — Beijing Institute of Technology, School of Computer Science, China
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2020 – today
- 2024
[c28]Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen:
Modeling User Attention in Music Recommendation. ICDE 2024: 761-774- [c27]Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu:
Neural Retrievers are Biased Towards LLM-Generated Content. KDD 2024: 526-537 - [c26]Yuan Wang, Zhiyu Li, Changshuo Zhang, Sirui Chen, Xiao Zhang, Jun Xu, Quan Lin:
Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce. RecSys 2024: 896-901 - [c25]Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu:
Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy. SIGIR 2024: 1850-1860 - [c24]Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu:
ReCODE: Modeling Repeat Consumption with Neural ODE. SIGIR 2024: 2599-2603 - [c23]Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi:
FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval. WWW 2024: 1092-1102 - [i25]Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu:
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems. CoRR abs/2401.09034 (2024) - [i24]Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu:
Large Language Models Enhanced Collaborative Filtering. CoRR abs/2403.17688 (2024) - [i23]Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, Jun Xu:
To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process. CoRR abs/2404.03267 (2024) - [i22]Teng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu, Yang Song:
UniSAR: Modeling User Transition Behaviors between Search and Recommendation. CoRR abs/2404.09520 (2024) - [i21]Zhongxiang Sun, Kepu Zhang, Haoyu Wang, Xiao Zhang, Jun Xu:
Effective In-Context Example Selection through Data Compression. CoRR abs/2405.11465 (2024) - [i20]Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu:
ReCODE: Modeling Repeat Consumption with Neural ODE. CoRR abs/2405.16550 (2024) - [i19]Changshuo Zhang, Teng Shi, Xiao Zhang, Yanping Zheng, Ruobing Xie, Qi Liu, Jun Xu, Ji-Rong Wen:
QAGCF: Graph Collaborative Filtering for Q&A Recommendation. CoRR abs/2406.04828 (2024) - [i18]Yuan Wang, Zhiyu Li, Changshuo Zhang, Sirui Chen, Xiao Zhang, Jun Xu, Quan Lin:
Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce. CoRR abs/2406.14004 (2024) - [i17]Chenglei Shen, Xiao Zhang, Teng Shi, Changshuo Zhang, Guofu Xie, Jun Xu:
A Survey of Controllable Learning: Methods and Applications in Information Retrieval. CoRR abs/2407.06083 (2024) - [i16]Changshuo Zhang, Teng Shi, Xiao Zhang, Qi Liu, Ruobing Xie, Jun Xu, Ji-Rong Wen:
Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation. CoRR abs/2408.08209 (2024) - [i15]Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Xiao Zhang, Ming He, Jianping Fan, Jun Xu:
Enhancing Sequential Recommendations through Multi-Perspective Reflections and Iteration. CoRR abs/2409.06377 (2024) - 2023
- [j3]Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Yang Song, Xiaoxue Zang, Ji-Rong Wen:
Enhancing Recommendation with Search Data in a Causal Learning Manner. ACM Trans. Inf. Syst. 41(4): 111:1-111:31 (2023) - [c22]Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu:
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation. CIKM 2023: 2239-2248 - [c21]Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu:
KuaiSAR: A Unified Search And Recommendation Dataset. CIKM 2023: 5407-5411 - [c20]Chuhao Jin, Yutao Zhu, Lingzhen Kong, Shijie Li, Xiao Zhang, Ruihua Song, Xu Chen, Huan Chen, Yuchong Sun, Yu Chen, Jun Xu:
Joint Semantic and Strategy Matching for Persuasive Dialogue. EMNLP (Findings) 2023: 4187-4197 - [c19]Sirui Chen, Yuan Wang, Zijing Wen, Zhiyu Li, Changshuo Zhang, Xiao Zhang, Quan Lin, Cheng Zhu, Jun Xu:
Controllable Multi-Objective Re-ranking with Policy Hypernetworks. KDD 2023: 3855-3864 - [c18]Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen:
Reward Imputation with Sketching for Contextual Batched Bandits. NeurIPS 2023 - [c17]Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu:
Uncovering ChatGPT's Capabilities in Recommender Systems. RecSys 2023: 1126-1132 - [c16]Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen:
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. SIGIR 2023: 1313-1323 - [c15]Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen:
Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. SIGIR 2023: 1549-1558 - [c14]Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition. SIGIR-AP 2023: 129-138 - [c13]Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin, Jun Xu:
Reinforcement Re-ranking with 2D Grid-based Recommendation Panels. SIGIR-AP 2023: 282-287 - [c12]Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. WSDM 2023: 913-921 - [c11]Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong:
P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. WWW 2023: 3701-3711 - [i14]Xu Chen, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenghua Dong:
P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. CoRR abs/2303.06660 (2023) - [i13]Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu:
Uncovering ChatGPT's Capabilities in Recommender Systems. CoRR abs/2305.02182 (2023) - [i12]Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen:
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. CoRR abs/2305.10822 (2023) - [i11]Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu:
KuaiSAR: A Unified Search And Recommendation Dataset. CoRR abs/2306.07705 (2023) - [i10]Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen:
LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops. CoRR abs/2308.05902 (2023) - [i9]Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu:
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation. CoRR abs/2308.08497 (2023) - [i8]Zihua Si, Zhongxiang Sun, Jiale Chen, Guozhang Chen, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu:
Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Learning. CoRR abs/2309.13375 (2023) - [i7]Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Jun Xu:
LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts. CoRR abs/2310.20501 (2023) - 2022
- [c10]Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen:
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification. KDD 2022: 2504-2514 - [c9]Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen:
A Model-Agnostic Causal Learning Framework for Recommendation using Search Data. WWW 2022: 224-233 - [i6]Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen:
A Model-Agnostic Causal Learning Framework for Recommendation using Search Data. CoRR abs/2202.04514 (2022) - [i5]Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition. CoRR abs/2204.00815 (2022) - [i4]Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin, Jun Xu:
Reinforcement Re-ranking with 2D Grid-based Recommendation Panels. CoRR abs/2204.04954 (2022) - [i3]Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen:
Partial Information as Full: Reward Imputation with Sketching in Bandits. CoRR abs/2210.06719 (2022) - [i2]Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen:
Law Article-Enhanced Legal Case Matching: a Model-Agnostic Causal Learning Approach. CoRR abs/2210.11012 (2022) - 2021
- [c8]Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen:
Regret Bounds for Online Kernel Selection in Continuous Kernel Space. AAAI 2021: 10931-10938 - [c7]Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen:
Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback. SIGIR 2021: 41-50 - 2020
- [c6]Xiao Zhang, Shizhong Liao:
Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space. IJCAI 2020: 2498-2504 - [i1]Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan, Ji-Rong Wen:
Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient. CoRR abs/2007.12817 (2020)
2010 – 2019
- 2019
- [j2]Xiao Zhang, Yun Liao, Shizhong Liao:
A survey on online kernel selection for online kernel learning. WIREs Data Mining Knowl. Discov. 9(2) (2019) - [c5]Shan Xu, Xiao Zhang, Shizhong Liao:
New Online Kernel Ridge Regression via Incremental Predictive Sampling. CIKM 2019: 791-800 - [c4]Shizhong Liao, Xiao Zhang:
Online Kernel Selection via Tensor Sketching. CIKM 2019: 801-810 - [c3]Xiao Zhang, Shizhong Liao:
Incremental Randomized Sketching for Online Kernel Learning. ICML 2019: 7394-7403 - 2018
- [c2]Shan Xu, Xiao Zhang, Shizhong Liao:
A Linear Incremental Nyström Method for Online Kernel Learning. ICPR 2018: 2256-2261 - [c1]Xiao Zhang, Shizhong Liao:
Online Kernel Selection via Incremental Sketched Kernel Alignment. IJCAI 2018: 3118-3124 - 2016
- [j1]Xiao Zhang, Shizhong Liao:
Tensor completion via multi-shared-modes canonical correlation analysis. Neurocomputing 205: 106-115 (2016)
Coauthor Index
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