Xiao Zhang

Orcid: 0000-0001-7397-5632

Affiliations:

Renmin University of China, Gaoling School of Articial Intelligence, China

According to our database¹, Xiao Zhang authored at least 52 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Enhancing Sequential Recommendations through Multi-Perspective Reflections and Iteration.

[BibT_eX]

[DOI]

CoRR, 2024

Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey of Controllable Learning: Methods and Applications in Information Retrieval.

[BibT_eX]

[DOI]

CoRR, 2024

QAGCF: Graph Collaborative Filtering for Q&A Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History.

[BibT_eX]

[DOI]

CoRR, 2024

On the Decision-Making Abilities in Role-Playing using Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

UniSAR: Modeling User Transition Behaviors between Search and Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

ReCODE: Modeling Repeat Consumption with Neural ODE.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Neural Retrievers are Biased Towards LLM-Generated Content.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Modeling User Attention in Music Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Smooth Start: A Unified Approach for Gradual Transition from Cold to Old in Recommender Systems.

[BibT_eX]

[DOI]

Jianwen Yang

Xiao Zhang

Jun Xu

Proceedings of the IEEE International Conference on Acoustics, 2024

SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Large Language Models Enhanced Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Effective In-Context Example Selection through Data Compression.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Enhancing Recommendation with Search Data in a Causal Learning Manner.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., October, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Reward Imputation with Sketching for Contextual Batched Bandits.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Joint Semantic and Strategy Matching for Persuasive Dialogue.

[BibT_eX]

[DOI]

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

KuaiSAR: A Unified Search And Recommendation Dataset.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Xiao Zhang

Yun Liao

Shizhong Liao

WIREs Data Mining Knowl. Discov., 2019

Incremental Randomized Sketching for Online Kernel Learning.

[BibT_eX]

[DOI]

Xiao Zhang

Shizhong Liao

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

New Online Kernel Ridge Regression via Incremental Predictive Sampling.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Xiao Zhang

Shizhong Liao

Neurocomputing, 2016

Xiao Zhang

Timeline

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