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The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models

  • Hao Miao
  • , Yan Zhao
  • , Yuxuan Liang
  • , Bin Yang
  • , Kai Zheng
  • , Christian S. Jensen
  • Hong Kong Polytechnic University
  • University of Electronic Science and Technology of China
  • The Hong Kong University of Science and Technology (Guangzhou)
  • Aalborg University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Spatio-temporal data intelligence, which includes sensing, managing, and mining large-scale data across space and time, plays a pivotal role in understanding complex systems in real-world applications, such as urban computing and smart cities. With the rapid evolution of foundation models and their growing potential to transform spatio-temporal analytics, we propose a comprehensive half-day workshop (with at least 5 accepted papers, 3 keynote talks, 1 panel discussion, and over 50 attendees) at CIKM 2025, catering to professionals, researchers, and practitioners who are interested in spatio-temporal data intelligence and foundation models to address real-world challenges. The workshop will not only offer a platform for knowledge exchange but also acknowledge outstanding contributions through a distinguished Best Paper Award. A dedicated panel discussion will explore recent advances, emerging trends, and open challenges in integrating spatio-temporal data and emerging machine learning techniques, fostering dialogue between academia and industry. Note that this will be the eleventh time that our core members have organized a similar workshop. The previous 10 workshops were hosted in top-tier data mining and management venues, e.g., SIGKDD, WWW, and IJCAI, each of which attracted over 60 participants and 25 submissions on average.

源语言英语
主期刊名CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management
出版商Association for Computing Machinery, Inc
6920-6922
页数3
ISBN(电子版)9798400720406
DOI
出版状态已出版 - 10 11月 2025
活动34th ACM International Conference on Information and Knowledge Management, CIKM 2025 - Seoul, 韩国
期限: 10 11月 202514 11月 2025

出版系列

姓名CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management

会议

会议34th ACM International Conference on Information and Knowledge Management, CIKM 2025
国家/地区韩国
Seoul
时期10/11/2514/11/25

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 11 - 可持续城市和社区
    可持续发展目标 11 可持续城市和社区

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