From Retrieval to Generation: Unifying External and Parametric Knowledge for Medical Question Answering
Published in Proceedings of the ACM Web Conference 2026 (WWW), 2026
Lei Li, Xiao Zhou*, Yingying Zhang, Xian Wu*
Download here
Publications
WED-Net: A Weather-Effect Disentanglement Network with Causal Augmentation for Urban Flow Prediction
Published in Proceedings of the ACM Web Conference 2026 (WWW), 2026
Qian Hong, Siyuan Chang, Xiao Zhou*.
Download here
Intelli-Planner: Towards Customized Urban Planning via Large Language Model Empowered Reinforcement Learning
Published in Proceedings of the ACM Web Conference 2026 (WWW), 2026
Xixian Yong, Peilin Sun, Zihe Wang, Xiao Zhou*.
Download here
MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions
Published in Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026
Yanxu Zhu♠, Shitong Duan♠, Xiangxu Zhang, Jitao Sang, Peng Zhang, Tun Lu, Xiao Zhou, Jing Yao, Xiaoyuan Yi, Xing Xie
Download here
Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation
Published in Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026
Qian Hong♠, Cheng Bian♠, Xiao Zhou*, Xiaoyu Li, Yelei Li, Zijing Zeng.
Download here
Spatio-Temporal Hierarchical Causal Models
Published in Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026
Xintong Li, Haoran Zhang, Xiao Zhou*.
Download here
Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens
Published in Proceedings of the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS spotlight), 2025
Xixian Yong, Xiao Zhou*, Yingying Zhang, Jinlin Li, Yefeng Zheng, Xian Wu*.
Download here
Counterfactual Reasoning for Steerable Pluralistic Value Alignment in Large Language Models
Published in Proceedings of the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
Hanze Guo♠, Jing Yao♠, Xiao Zhou*, Xiaoyuan Yi, Xing Xie.
Download here
AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
Published in Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
Lei Li, Xiangxu Zhang, Xiao Zhou*, Zheng Liu*.
Download here
SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction
Published in The ACM Transactions on Information Systems (TOIS), 2025
Hanze Guo♠, Yijun Ma♠, Xiao Zhou*.
Download here
MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models?
Published in Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025, 2025
Xixian Yong, Jianxun Lian, Xiaoyuan Yi, Xiao Zhou*, Xing Xie.
Download here
Leave No One Behind: Enhancing Diversity While Maintaining Accuracy in Social Recommendation
Published in Proceedings of the 30th International Conference on Database Systems for Advanced Applications (DASFAA), 2025
Lei Li & Xiao Zhou*.
Download here
Tricolore: Multi-Behavior User Profiling for Enhanced Candidate Generation in Recommender Systems
Published in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
Xiao Zhou*, Zhongxiang Zhao, Hanze Guo.
Download here
FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion Generation
Published in Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025
Jinlin Li, Xintong Li, Xiao Zhou*.
Download here
MotifGPL: Motif-Enhanced Graph Prototype Learning for Deciphering Urban Social Segregation
Published in Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025
Tengfei He & Xiao Zhou*.
Download here
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction
Published in Articial Intelligence, 2025
Jinlin Li & Xiao Zhou*.
Download here
MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning
Published in Proceedings of 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024
Xixian Yong & Xiao Zhou*.
Download here
CGAP: Urban Region Representation Learning with Coarsened Graph Attention Pooling
Published in Proceedings of 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024
Zhuo Xu & Xiao Zhou*.
Download here
Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation
Published in Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024
Yijun Ma, Chaozhuo Li, Xiao Zhou*.
Download here
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
Published in Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024
Lei Li, Jianxun Lian, Xiao Zhou*, Xing Xie.
Download here
Causally Aware Generative Adversarial Networks for Light Pollution Control
Published in Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024
Yuyao Zhang, Ke Guo, Xiao Zhou*.
Download here
Reconstructing Human Activities via Coupling Mobile Phone Data with Location-Based Social Networks
Published in Travel Behaviour and Society, 2023
Le Huang, Fan Xia, Hui Chen, Bowen Hu, Xiao Zhou, Chunxiao Li, Yaohui Jin, Yanyan Xu.
Download here
Phase-Wise Evaluation and Optimization of Non-Pharmaceutical Interventions to Contain the COVID-19 Pandemic in the US
Published in Frontiers in Public Health, 2023
Xiao Zhou*, Xiaohu Zhang, Paolo Santi, Carlo Ratti.
Download here
M2EU: Meta Learning for Cold-start Recommendation via Enhancing User Preference Estimation
Published in Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Zhenchao Wu, Xiao Zhou*.
Download here
Personalized Query Suggestion with Searching Dynamic Flow for Online Recruitment
Published in Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM), 2022
Zile Zhou♠, Xiao Zhou♠, Mingzhe Li, Yang Song, Tao Zhang, Rui Yan.
Download here
Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation
Published in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2019
Xiao Zhou*, Cecilia Mascolo, Zhongxiang Zhao.
Download here
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
Published in Proceedings of 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019
Xiao Zhou*, Danyang Liu, Jianxun Lian, Xing Xie.
Download here
Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City Planning
Published in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2018
Xiao Zhou*, Anastasios Noulas, Cecilia Mascolo, Zhongxiang Zhao.
Download here
Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data
Published in Proceedings of 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018
Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen.
Download here
Evaluating the Impact of the 2012 Olympic Games Policy on the Regeneration of East London Using Spatio-Temporal Big Data
Published in arXiv preprint arXiv, 2018
Xiao Zhou*, Desislava Hristova, Anastasios Noulas, Cecilia Mascolo.
Download here
Cultural Investment and Urban Socio-Economic Development: A Geosocial Network Approach
Published in Royal Society Open Science, 2017
Xiao Zhou*, Desislava Hristova, Anastasios Noulas, Cecilia Mascolo, Max Sklar.
Download here
Detecting Socio-Economic Impact of Cultural Investment Through Geo-Social Network Analysis
Published in Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), 2017
Xiao Zhou*, Desislava Hristova, Anastasios Noulas, Cecilia Mascolo.
Download here