Sign in
Xiao Zhang
ORCID
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 28
Top Topics
Contextual Bandit
Kernel Learning
User Preferences
Relevance Ranking
Top Venues
CoRR
CIKM
KDD
SIGIR
</>
Publications
</>
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
(2024)
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)
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
(2023)
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)
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
(2023)
Chenglei Shen
,
Xiao Zhang
,
Wei Wei
,
Jun Xu
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation.
CoRR
(2023)
Zhongxiang Sun
,
Jun Xu
,
Xiao Zhang
,
Zhenhua Dong
,
Ji-Rong Wen
Law Article-Enhanced Legal Case Matching: A Causal Learning Approach.
SIGIR
(2023)
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)
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)
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)
Chenglei Shen
,
Xiao Zhang
,
Wei Wei
,
Jun Xu
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation.
CIKM
(2023)
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)
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) (2023)
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)
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
(2022)
Haiyuan Zhao
,
Jun Xu
,
Xiao Zhang
,
Guohao Cai
,
Zhenhua Dong
,
Ji-Rong Wen
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition.
CoRR
(2022)
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)
Xiao Zhang
,
Shizhong Liao
,
Jun Xu
,
Ji-Rong Wen
Regret Bounds for Online Kernel Selection in Continuous Kernel Space.
AAAI
(2021)
Xiao Zhang
,
Haonan Jia
,
Hanjing Su
,
Wenhan Wang
,
Jun Xu
,
Ji-Rong Wen
Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback.
SIGIR
(2021)
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
(2020)
Xiao Zhang
,
Shizhong Liao
Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space.
IJCAI
(2020)
Xiao Zhang
,
Shizhong Liao
Incremental Randomized Sketching for Online Kernel Learning.
ICML
(2019)
Shizhong Liao
,
Xiao Zhang
Online Kernel Selection via Tensor Sketching.
CIKM
(2019)
Xiao Zhang
,
Yun Liao
,
Shizhong Liao
A survey on online kernel selection for online kernel learning.
WIREs Data Mining Knowl. Discov.
9 (2) (2019)
Shan Xu
,
Xiao Zhang
,
Shizhong Liao
New Online Kernel Ridge Regression via Incremental Predictive Sampling.
CIKM
(2019)
Shan Xu
,
Xiao Zhang
,
Shizhong Liao
A Linear Incremental Nyström Method for Online Kernel Learning.
ICPR
(2018)
Xiao Zhang
,
Shizhong Liao
Online Kernel Selection via Incremental Sketched Kernel Alignment.
IJCAI
(2018)
Xiao Zhang
,
Shizhong Liao
Tensor completion via multi-shared-modes canonical correlation analysis.
Neurocomputing
205 (2016)