Posts by Collection
portfolio
publications
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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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*.
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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.
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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.
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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*.
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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.
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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*.
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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*.
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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*.
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teaching
Smart Cities
Undergraduate course, Renmin University of China, Gaoling School of Artificial Intelligence, 2023
This course primarily covers how to use technologies such as IoT, cloud computing, and data science to advance the development of smart cities in various key application areas. The course focuses on hot topics in areas like smart living, smart transportation, and smart city decision-making and management. In addition to theoretical knowledge and case studies, students will also acquire fundamental artificial intelligence techniques and research methods, including urban big data mining, spatiotemporal data analysis, data visualization, and exercise their comprehensive abilities to solve interdisciplinary problems through this course.
Introduction to Artificial Intelligence
Postgraduate course, Renmin University of China, Gaoling School of Artificial Intelligence, 2024
The course primarily covers fundamental concepts in artificial intelligence, the history of artificial intelligence development, artificial intelligence algorithms, and various aspects of artificial intelligence technologies, including computer vision, speech recognition, and natural language processing. This comprehensive approach enables students to have a thorough understanding and mastery of the fundamental concepts, content, and methods of artificial intelligence.
Artificial Intelligence for the Social Sciences (General Education Core Course)
Undergraduate course, Renmin University of China, Gaoling School of Artificial Intelligence, 2024
This is an introductory course in artificial intelligence open to all undergraduate students. Its aim is to broaden the horizons of students majoring in humanities and social sciences, cultivate their interest in the field of AI, provide an understanding of the current trends and prospects in AI, and equip them with basic AI methods and technologies. This course can lay a solid foundation for students to pursue advanced courses, nurture talents in both theoretical and practical applications of AI, and develop individuals with interdisciplinary thinking.