2015-2019 英国剑桥大学计算机科学系 博士 (导师：Cecilia Mascolo教授)
2014-2015 英国剑桥大学 副博士
2009-2014 哈尔滨工业大学 工学学士
2021.3-至今 中国人民大学高瓴人工智能学院
2021.11-2022.4 微软亚洲研究院 社会计算组 铸星计划访问学者 (合作导师：谢幸首席研究员)
2020.2-2021.2 美国麻省理工学院 博士后研究员 (导师：Carlo Ratti教授)
AI for Social Science、时空数据挖掘、城市计算、推荐系统及大模型（多模态大模型、医疗大模型、时空大模型、具身智能），详见实验室公众号 (微信搜索：LUMOS熠智AI-Lab) 。
周骁老师作为PI成立的LUMOS AI Lab (AI for Urban Mobility & Societal Sciences) 熠智AI实验室 (微信搜索：LUMOS熠智AI-Lab) 致力于研究先进的人工智能技术赋能社会发展。“LUMOS”的含义取自《哈利·波特》中的"Lumos" （荧光闪烁）咒语，用来点亮魔杖。我们期待可以利用AI“魔法”照亮城市与社会的未来。
课题组现有10余名在读博士、硕士研究生及科研助理，致力于设计并运用人工智能算法，推动更高效、可持续、智慧的社会治理与发展。组内同学将有机会被推荐至剑桥大学、MSRA、北京智源等研究机构联合培养。期待与我们研究兴趣相投的研究生及本科生同学，联系并加入我们的团队！
在读研究生：
李磊（高瓴人工智能学院在读博士，北京智源研究院联合指导）
李锦林（高瓴人工智能学院在读博士，腾讯联合指导）
张向旭（高瓴人工智能学院在读博士，微软亚洲研究院联合指导）
洪乾（高瓴人工智能学院在读博士，滴滴联合指导）
郭翰泽（高瓴人工智能学院在读博士，微软亚洲研究院联合指导）
雍希贤（高瓴人工智能学院在读博士，腾讯联合指导）
何腾飞（高瓴人工智能学院在读硕士，滴滴联合指导）
严烁楠（苏州校区智慧治理学院在读硕士）
林乐岩（苏州校区智慧治理学院在读硕士）
毕业研究生：
马逸君（2024届硕士毕业生，赴美留学读博）
杨乐（2024届硕士毕业生，入职政府机构）
马煦晖（2025届硕士毕业生，入职阿里）
孙沛霖（2025届硕士毕业生，入职OPPO）
新文科人工智能导论（通识核心课；获人民日报报道）、智慧城市、人工智能概论
近五年主持或参加的国家自然科学基金项目:
(1) 国家自然科学基金委员会 青年科学基金项目 62106274 基于多模态学习的阿尔茨海默病早期预判与干预研究 2022-01-01 至 2024-12-31 主持
(2) 国家自然科学基金委员会 联合基金项目 U2241212 面向图学习的分布式原生图存储与计算方法研究 2023-01-01 至 2026-12-31 参与
近五年主持或参加的其他科研项目:
(1) 快手，搜索行为大模型探索及应用研究，2025-9 至 2026-8 主持
(2) 腾讯科技有限公司，行业大模型幻觉与编辑算法研究，2024-12 至 2025-11 主持
(3) OPPO广东移动通信有限公司 基于大模型的智慧健康管理助手与问答系统 2023-12 至 2024-11 主持
(4) 中国联通 游戏推荐系统 2021-08 至 2022-03 主持
(5) 美国麻省理工学院 MIT 科研项目 The Effect of Policies and Human Mobility on the COVID-19 Epidemic 2020-09 至 2021-01 主持
(6) 美国麻省理工学院 MIT科研项目 The Changes in Physical Place and Digital Communication during the COVID Period 2020-09 至 2021-01 参与
LUMOS熠智AI实验室简介MuseCL算法介绍点击进入Demo网页:
城市社会经济发展预测CAGAN 算法介绍点击进入Demo网页:
城市光污染因果感知与治理CureGraph 算法介绍点击进入Demo网页:
面向适老化社区健康预测的多模态图表示学习框架TEMN 算法介绍基于微信数据的流动模式挖掘与规划算法介绍
2025
Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens
Xixian Yong, Xiao Zhou*, Yingying Zhang, Jinlin Li, Yefeng Zheng, Xian Wu*
The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 25)
链接： 链接
Counterfactual Reasoning for Steerable Pluralistic Value Alignment in Large Language Models
Hanze Guo#, Jing Yao#, Xiao Zhou*, Xiaoyuan Yi, Xing Xie
The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 25)
SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction
Hanze Guo#, Yijun Ma#, Xiao Zhou*
The ACM Transactions on Information Systems (TOIS)
AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
Lei Li, Xiangxu Zhang, Xiao Zhou*, Zheng Liu*
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 25)
链接： 链接
MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models?
Xixian Yong, Jianxun Lian, Xiaoyuan Yi, Xiao Zhou*, Xing Xie
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 25)
下载：
链接： 链接
Hypertension Risk Screening based on Longitudinal Photoplethysmogram and Ballistocardiograph Using Smart Watch
Guangpu Zhu, Xiaoyu Li, Xin Sui, Jie Hawes, Ramy Hussein, Qian Hong, Xiao Zhou, Zijing Zeng, Yelei Li
The 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 25)
Tricolore: Multi-Behavior User Profiling for Enhanced Candidate Generation in Recommender Systems
Xiao Zhou*, Zhongxiang Zhao, Hanze Guo
IEEE Transactions on Knowledge and Data Engineering (TKDE)
链接： 链接
Leave No One Behind: Enhancing Diversity While Maintaining Accuracy in Social Recommendation
Lei Li, Xiao Zhou*
The 30th International Conference on Database Systems for Advanced Applications (DASFAA 25)
链接： 链接
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction
Jinlin Li, Xiao Zhou*
Artificial Intelligence (AIJ)
下载： DEMO
链接： 链接
MotifGPL: Motif-Enhanced Graph Prototype Learning for Deciphering Urban Social Segregation
Tengfei He, Xiao Zhou*
In Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI 25)
链接： 链接
FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion Generation
Jinlin Li, Xintong Li (本科生), Xiao Zhou*
In Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI 25)
链接： 链接
2024
CGAP: Urban Region Representation Learning with Coarsened Graph Attention Pooling
Zhuo Xu, Xiao Zhou*.
In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)
链接： 链接
MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning
Xixian Yong, Xiao Zhou*.
In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)
下载： DEMO
链接： 链接
Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation
Yijun Ma, Chaozhuo Li, Xiao Zhou*.
In Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024).
链接： 链接
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
Lei Li, Jianxun Lian, Xiao Zhou*, Xing Xie.
In Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024).
链接： 链接
Causally Aware Generative Adversarial Networks for Light Pollution Control
Yuyao Zhang (本科生), Ke Guo (本科生), Xiao Zhou*.
In Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024).
下载： DEMO
链接： 链接
2023
M2EU: Meta Learning for Cold-start Recommendation via Enhancing User Preference Estimation.
Zhenchao Wu, Xiao Zhou*.
In Proceedings of 46th ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2023
链接： 链接
Reconstructing Human Activities via Coupling Mobile Phone Data with Location-based Social Networks
Le Huang, Fan Xia, Hui Chen, Bowen Hu, Xiao Zhou, Chunxiao Li, Yaohui Jin, Yanyan Xu.
Travel Behaviour and Society
链接： 链接
Phase-wise Evaluation and Optimization of Non-pharmaceutical Interventions to Contain the COVID-19 Pandemic in the US
Xiao Zhou*, Xiaohu Zhang, Paolo Santi, Carlo Ratti.
Frontiers in Public Health
链接： 链接
2022
Personalized Query Suggestion with Searching Dynamic Flow for Online Recruitment
Zile Zhou#, Xiao Zhou#, Mingzhe Li, Yang Song, Tao Zhang, Rui Yan.
In Proceedings of 31st ACM International Conference on Information & Knowledge Management (CIKM 2022).
链接： 链接
2019
Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation
Xiao Zhou*, Cecilia Mascolo, Zhongxiang Zhao.
In Proceedings of ACM Int. Conference on Knowledge Discovery and Data (KDD 2019).
链接： 链接
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
Xiao Zhou*, Danyang Liu, Jianxun Lian, Xing Xie.
In Proceedings of 28th International Joint Conference on Artificial Intelligence (IJCAI 2019).
链接： 链接
2018
Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data
Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen.
In Proceedings of 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI 2018).
链接： 链接
Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City Planning
Xiao Zhou*, Anastasios Noulas, Cecilia Mascolo, Zhongxiang Zhao.
In Proceedings of ACM Int. Conference on Knowledge Discovery and Data (KDD 2018).
链接： 链接
2017
Detecting Socio-Economic Impact of Cultural Investment through Geo-Social Network Analysis
Xiao Zhou*, DesislavaHristova, Anastasios Noulas, Cecilia Mascolo.
In Proceedings of 11th International AAAI Conference on Web and Social Media (ICWSM 2017).
链接： 链接
Cultural Investment and Urban Socio-Economic Development: A Geo-Social Network Approach
Xiao Zhou*, Desislava Hristova, Anastasios Noulas, Cecilia Mascolo, Max Sklar.
Royal Society open science4.9 (2017): 170413.
链接： 链接
2016
Evaluating the Impact of the 2012 Olympic Games Policy on the Regeneration of East London Using Spatio-Temporal Big Data
Xiao Zhou*, Desislava Hristova, Anastasios Noulas, Cecilia Mascolo.
In Proceedings ofInternational Conference on Frontiers of Data Science for Government: Ideas, Practices, and Projections (Data for Policy 2016).
链接： 链接
2014
Conservation and Utilisation of Revolutionary Sites Based on Fuzzy Comprehensive Evaluation Analysis
Xiao Zhou, Shuyuan Li, Huiwen He, Ming Lu.
(in Chinese). In Proceedings of Annual National Planning Conference 2014. September2014.
担任CCF普适计算专业委员会执行委员；
任多个学术会议和期刊的程序委员会委员和审稿人（Nature Communications TKDE KDD NeurIPS WWW MM AAAI IJCAI RecSys等）。
邮箱：xiaozhou@ruc.edu.cn
个人网页：https://xiaozhoucam.github.io/