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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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Published in Royal Society Open Science, 2017
Xiao Zhou*, Desislava Hristova, Anastasios Noulas, Cecilia Mascolo, Max Sklar.
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Published in arXiv preprint arXiv, 2018
Xiao Zhou*, Desislava Hristova, Anastasios Noulas, Cecilia Mascolo.
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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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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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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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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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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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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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Published in Frontiers in Public Health, 2023
Xiao Zhou*, Xiaohu Zhang, Paolo Santi, Carlo Ratti.
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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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Published in Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024
Yuyao Zhang, Ke Guo, Xiao Zhou*.
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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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Published in Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024
Yijun Ma, Chaozhuo Li, Xiao Zhou*.
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Published in Proceedings of 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024
Zhuo Xu, Xiao Zhou*.
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Published in Proceedings of 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024
Xixian Yong, Xiao Zhou*.
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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.
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.
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.