Xiao Zhang

According to our database, Xiao Zhang authored at least 34 papers between 2016 and 2024.

Collaborative distances:

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

2024

Large Language Models Enhanced Collaborative Filtering.

Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu

CoRR, 2024

UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems.

Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu

CoRR, 2024

2023

Enhancing Recommendation with Search Data in a Causal Learning Manner.

Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Yang Song, Xiaoxue Zang, Ji-Rong Wen

ACM Trans. Inf. Syst., October, 2023

LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts.

Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Jun Xu

CoRR, 2023

Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Learning.

Zihua Si, Zhongxiang Sun, Jiale Chen, Guozhang Chen, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu

CoRR, 2023

Uncovering ChatGPT's Capabilities in Recommender Systems.

Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu

CoRR, 2023

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System.

Xu Chen, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenghua Dong

CoRR, 2023

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System.

Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong

Proceedings of the ACM Web Conference 2023, 2023

Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking.

Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Law Article-Enhanced Legal Case Matching: A Causal Learning Approach.

Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen

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

When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation.

Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen

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

Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition.

Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Reinforcement Re-ranking with 2D Grid-based Recommendation Panels.

Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin, Jun Xu

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Uncovering ChatGPT's Capabilities in Recommender Systems.

Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Reward Imputation with Sketching for Contextual Batched Bandits.

Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Controllable Multi-Objective Re-ranking with Policy Hypernetworks.

Sirui Chen, Yuan Wang, Zijing Wen, Zhiyu Li, Changshuo Zhang, Xiao Zhang, Quan Lin, Cheng Zhu, Jun Xu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Joint Semantic and Strategy Matching for Persuasive Dialogue.

Chuhao Jin, Yutao Zhu, Lingzhen Kong, Shijie Li, Xiao Zhang, Ruihua Song, Xu Chen, Huan Chen, Yuchong Sun, Yu Chen, Jun Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

KuaiSAR: A Unified Search And Recommendation Dataset.

Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation.

Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Law Article-Enhanced Legal Case Matching: a Model-Agnostic Causal Learning Approach.

Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen

CoRR, 2022

Partial Information as Full: Reward Imputation with Sketching in Bandits.

Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen

CoRR, 2022

A Model-Agnostic Causal Learning Framework for Recommendation using Search Data.

Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification.

Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback.

Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Regret Bounds for Online Kernel Selection in Continuous Kernel Space.

Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient.

Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan, Ji-Rong Wen

CoRR, 2020

Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space.

Xiao Zhang, Shizhong Liao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

A survey on online kernel selection for online kernel learning.

Xiao Zhang, Yun Liao, Shizhong Liao

WIREs Data Mining Knowl. Discov., 2019

Incremental Randomized Sketching for Online Kernel Learning.

Xiao Zhang, Shizhong Liao

Proceedings of the 36th International Conference on Machine Learning, 2019

New Online Kernel Ridge Regression via Incremental Predictive Sampling.

Shan Xu, Xiao Zhang, Shizhong Liao

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Online Kernel Selection via Tensor Sketching.

Shizhong Liao, Xiao Zhang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Online Kernel Selection via Incremental Sketched Kernel Alignment.

Xiao Zhang, Shizhong Liao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Linear Incremental Nyström Method for Online Kernel Learning.

Shan Xu, Xiao Zhang, Shizhong Liao

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2016

Tensor completion via multi-shared-modes canonical correlation analysis.

Xiao Zhang, Shizhong Liao

Neurocomputing, 2016