Xu Chen

Orcid: 0000-0003-0144-1775

Affiliations:
  • Renmin University of China, China
  • University College London, UK (former)


According to our database1, Xu Chen authored at least 143 papers between 2012 and 2025.

Collaborative distances:

Timeline

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Bibliography

2025
Meta Recommendation With Robustness Improvement.
IEEE Trans. Knowl. Data Eng., February, 2025

Sequential Causal Effect Estimation by Jointly Modeling the Unmeasured Confounders and Instrumental Variables.
IEEE Trans. Knowl. Data Eng., February, 2025

Understanding the Roles of Visual Modality in Multimodal Dialogue: An Empirical Study.
Proceedings of the MultiMedia Modeling, 2025

Incorporating Review-missing Interactions for Generative Explainable Recommendation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
A survey on large language model based autonomous agents.
Frontiers Comput. Sci., December, 2024

Soft Contrastive Sequential Recommendation.
ACM Trans. Inf. Syst., November, 2024

Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework.
ACM Trans. Inf. Syst., November, 2024

Distributional Fairness-aware Recommendation.
ACM Trans. Inf. Syst., September, 2024

Privacy-preserving Cross-domain Recommendation with Federated Graph Learning.
ACM Trans. Inf. Syst., September, 2024

Explainable Legal Case Matching via Graph Optimal Transport.
IEEE Trans. Knowl. Data Eng., June, 2024

Dynamic Hierarchical Attention Network for news recommendation.
Expert Syst. Appl., 2024

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System.
CoRR, 2024

CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds.
CoRR, 2024

MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants.
CoRR, 2024

Towards Effective and Efficient Continual Pre-training of Large Language Models.
CoRR, 2024

YuLan: An Open-source Large Language Model.
CoRR, 2024

Attaining Human's Desirable Outcomes in Human-AI Interaction via Structural Causal Games.
CoRR, 2024

Are Long-LLMs A Necessity For Long-Context Tasks?
CoRR, 2024

A Survey on the Memory Mechanism of Large Language Model based Agents.
CoRR, 2024

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm.
CoRR, 2024

Understanding Human Preferences: Towards More Personalized Video to Text Generation.
Proceedings of the ACM on Web Conference 2024, 2024

Causally Debiased Time-aware Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Large Language Model Powered Agents in the Web.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Large Language Model Powered Agents for Information Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

A Tutorial on Feature Interpretation in Recommender Systems.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Reflective Multi-Agent Collaboration based on Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ViCo: Engaging Video Comment Generation with Human Preference Rewards.
Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

See or Guess: Counterfactually Regularized Image Captioning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Natural Language Explainable Recommendation with Robustness Enhancement.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Policy-Based Bayesian Active Causal Discovery with Deep Reinforcement Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Debiased Collaborative Filtering with Kernel-Based Causal Balancing.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Uncovering the Propensity Identification Problem in Debiased Recommendations.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Active Explainable Recommendation with Limited Labeling Budgets.
Proceedings of the IEEE International Conference on Acoustics, 2024

Large Language Model-based Human-Agent Collaboration for Complex Task Solving.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Towards Tool Use Alignment of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RecGPT.
Proceedings of the Database Systems for Advanced Applications, 2024

Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Debiased Recommendation with User Feature Balancing.
ACM Trans. Inf. Syst., October, 2023

Data Augmented Sequential Recommendation Based on Counterfactual Thinking.
IEEE Trans. Knowl. Data Eng., September, 2023

Don't Make Your LLM an Evaluation Benchmark Cheater.
CoRR, 2023

RecAgent: A Novel Simulation Paradigm for Recommender Systems.
CoRR, 2023

Dually Enhanced Propensity Score Estimation in Sequential Recommendation.
CoRR, 2023

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System.
CoRR, 2023

REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation.
CoRR, 2023

Recommendation with Causality enhanced Natural Language Explanations.
Proceedings of the ACM Web Conference 2023, 2023

Robust Recommendation with Adversarial Gaussian Data Augmentation.
Proceedings of the ACM Web Conference 2023, 2023

Distributionally Robust Sequential Recommnedation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Robust Causal Inference for Recommender System to Overcome Noisy Confounders.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Sequential Recommendation with User Evolving Preference Decomposition.
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.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Towards Robust Fairness-aware Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Going Beyond Closed Sets: A Multimodal Perspective for Video Emotion Analysis.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Bayesian Active Causal Discovery with Multi-Fidelity Experiments.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Offline Imitation Learning with Variational Counterfactual Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical Invariant Learning for Domain Generalization Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Multi-Agent Framework for Recommendation with Heterogeneous Sources.
Proceedings of the International Joint Conference on Neural Networks, 2023

Causal Collaborative Filtering.
Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023

Sequential Recommendation with User Causal Behavior Discovery.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Joint Semantic and Strategy Matching for Persuasive Dialogue.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Debiased recommendation with neural stratification.
AI Open, January, 2022

IPGAN: Generating Informative Item Pairs by Adversarial Sampling.
IEEE Trans. Neural Networks Learn. Syst., 2022

Recent Advances in RecBole: Extensions with more Practical Considerations.
CoRR, 2022

Recommendation with User Active Disclosing Willingness.
CoRR, 2022

Sequential Recommendation with Causal Behavior Discovery.
CoRR, 2022

Sequential Recommendation with User Evolving Preference Decomposition.
CoRR, 2022

Generalizable Information Theoretic Causal Representation.
CoRR, 2022

Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation.
CoRR, 2022

Debiased Recommendation with User Feature Balancing.
CoRR, 2022

Inhomogeneous deep Q-network for time sensitive applications.
Artif. Intell., 2022

Generative Session-based Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Unbiased Sequential Recommendation with Latent Confounders.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Multi-Modal Experience Inspired AI Creation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Game-Theoretic Approach to Multi-agent Trust Region Optimization.
Proceedings of the Distributed Artificial Intelligence - 4th International Conference, 2022

RecBole 2.0: Towards a More Up-to-Date Recommendation Library.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Dually Enhanced Propensity Score Estimation in Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Learning to Identify Top Elo Ratings: A Dueling Bandits Approach.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Visually aware recommendation with aesthetic features.
VLDB J., 2021

Learning Reinforced Dynamic Representations for Sequential Recommendation.
CoRR, 2021

Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks.
CoRR, 2021

Discrete Knowledge Graph Embedding based on Discrete Optimization.
CoRR, 2021

Generate Natural Language Explanations for Recommendation.
CoRR, 2021

Reinforcement Recommendation with User Multi-aspect Preference.
Proceedings of the WWW '21: The Web Conference 2021, 2021

A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps.
Proceedings of the WWW '21: The Web Conference 2021, 2021

The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021).
Proceedings of the WSDM '21, 2021

CSR 2021: The 1st International Workshop on Causality in Search and Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Counterfactual Data-Augmented Sequential Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Estimating α-Rank from A Few Entries with Low Rank Matrix Completion.
Proceedings of the 38th International Conference on Machine Learning, 2021

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Causally Attentive Collaborative Filtering.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Top-N Recommendation with Counterfactual User Preference Simulation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Counterfactual Review-based Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Counterfactual Explainable Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning Correlated Communication Topology in Multi-Agent Reinforcement learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network.
ACM Trans. Inf. Syst., 2020

Efficient Contour Computation of Group-Based Skyline.
IEEE Trans. Knowl. Data Eng., 2020

Explainable Recommendation: A Survey and New Perspectives.
Found. Trends Inf. Retr., 2020

Causal World Models by Unsupervised Deconfounding of Physical Dynamics.
CoRR, 2020

EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Time Matters: Sequential Recommendation with Complex Temporal Information.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Adversarial Distillation for Efficient Recommendation with External Knowledge.
ACM Trans. Inf. Syst., 2019

Multi-lingual geoparsing based on machine translation.
Future Gener. Comput. Syst., 2019

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Dynamic News Recommendation with Hierarchical Attention Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Dynamic Explainable Recommendation Based on Neural Attentive Models.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning over Knowledge-Base Embeddings for Recommendation.
CoRR, 2018

Visually Explainable Recommendation.
CoRR, 2018

Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation.
Algorithms, 2018

Aesthetic-based Clothing Recommendation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Sequential Recommendation with User Memory Networks.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Deep Collaborative Filtering Combined with High-Level Feature Generation on Latent Factor Model.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Towards Conversational Search and Recommendation: System Ask, User Respond.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Benefits from Superposed Hawkes Processes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Personalized Key Frame Recommendation.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Learning a Hierarchical Embedding Model for Personalized Product Search.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Fast Algorithms for Pareto Optimal Group-based Skyline.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images.
Proceedings of the Information Retrieval Technology, 2017

Probabilistic Local Matrix Factorization Based on User Reviews.
Proceedings of the Information Retrieval Technology, 2017

Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
An energy-efficient source-anonymity protocol in surveillance systems.
Pers. Ubiquitous Comput., 2016

HLBPR: A Hybrid Local Bayesian Personal Ranking Method.
Proceedings of the 25th International Conference on World Wide Web, 2016

Learning to Rank Features for Recommendation over Multiple Categories.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Developer Recommendation with Awareness of Accuracy and Cost.
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

2015
Multi-lingual Geoparsing based on Machine Translation.
CoRR, 2015

A Novel Source-Location Anonymity Protocol in Surveillance Systems.
Proceedings of the International Conference on Identification, 2015

From LTL Formulae to Büchi Automata: A Direct Translation Using On-the-Fly De-Generalization.
Proceedings of the 2015 Asia-Pacific Software Engineering Conference, 2015

2014
Acquiring Stored or Real Time Satellite Data via Natural Language Query.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

2012
The contextual focused topic model.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012


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