Xiao Zhou

Orcid: 0000-0002-0868-764X

Affiliations:
  • Renmin University of China, Beijing, China
  • Microsoft Research Asia


According to our database1, Xiao Zhou authored at least 30 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships.
ACM Trans. Inf. Syst., May, 2026

Human Values Matter: Investigating How Misalignment Shapes Collective Behaviors in LLM Agent Communities.
CoRR, April, 2026

Why Not Collaborative Filtering in Dual View? Bridging Sparse and Dense Models.
ACM Trans. Inf. Syst., March, 2026

SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction.
ACM Trans. Inf. Syst., February, 2026

Intelli-Planner: Towards Customized Urban Planning via Large Language Model Empowered Reinforcement Learning.
Proceedings of the ACM Web Conference 2026, 2026

From Retrieval to Generation: Unifying External and Parametric Knowledge for Medical Question Answering.
Proceedings of the ACM Web Conference 2026, 2026

WED-Net: A Weather-Effect Disentanglement Network with Causal Augmentation for Urban Flow Prediction.
Proceedings of the ACM Web Conference 2026, 2026

Inflated Excellence or True Performance? Rethinking Medical Diagnostic Benchmarks with Dynamic Evaluation.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Advancing Ocean State Estimation with efficient and scalable AI.
CoRR, November, 2025

Beyond Single Models: Mitigating Multimodal Hallucinations via Adaptive Token Ensemble Decoding.
CoRR, October, 2025

Tricolore: Multi-Behavior User Profiling for Enhanced Candidate Generation in Recommender Systems.
IEEE Trans. Knowl. Data Eng., July, 2025

Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Leave no one Behind: Enhancing Diversity While Maintaining Accuracy in Social Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2025

MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models?
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Causally Aware Generative Adversarial Networks for Light Pollution Control.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Reconstructing human activities via coupling mobile phone data with location-based social networks.
CoRR, 2023

M2EU: Meta Learning for Cold-start Recommendation via Enhancing User Preference Estimation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
Evaluation of non-pharmaceutical interventions and optimal strategies for containing the COVID-19 pandemic.
CoRR, 2022

Personalized Query Suggestion with Searching Dynamic Flow for Online Recruitment.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2019
Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Evaluating the impact of the 2012 Olympic Games policy on the regeneration of East London using spatio-temporal big data.
CoRR, 2018

Cultural Investment and Urban Socio-Economic Development: A Geo-Social Network Approach.
CoRR, 2018

Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City Planning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Detecting Socio-Economic Impact of Cultural Investment Through Geo-Social Network Analysis.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017


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