“喻园·家”系列讲座——地理空间实体表示讲座成功举行
Lecture on Geospatial Entity Representation in the "Yuyuan·Home" Lecture Series
2024年6月1日上午，计算机学院和国际交流处共同举办的“喻园·家”系列讲座——地理空间实体表示讲座在梧桐语明义楼-问道厅成功举办。现任新加坡南洋理工大学（NTU）计算机科学与工程学院教授、新加坡电信---认知与人工智能实验室（Singtel Cognitive and Artificial Intelligence Lab for Enterprises@NTU）联合主任丛高教授以“地理空间实体表示：迈向城市基础模型的一步”为主题，向现场师生贡献了一场精彩的学术报告。
On the morning of June 1, 2024, the lecture on "Geospatial Entity Representation" was successfully held in the Wendao Hall of Wutongyu Mingyi Building, organized jointly by the School of Computer Science and Technology and the Office of International Affairs of HUST. Professor Gao Cong, currently a professor of the School of Computer Science and Engineering at Nanyang Technological University (NTU) in Singapore and the co-director of the Singtel Cognitive and Artificial Intelligence Lab for Enterprises@NTU, delivered an excellent academic presentation on the topic of "Geospatial Entity Representation: A Step towards City Foundation Models."
图 与会嘉宾合影
Group photo of the guests
报告会开幕式，魏巍教授代表组织方进行报告会开幕致辞，他向现场师生介绍了丛高教授，并希望本次讲座能让更多师生受益于学术交流，促进多方交流、思考和学习。
Professor Wei Wei addressed the opening ceremony of the lecture on behalf of the organizer. He introduced Professor Gao Cong to the faculty and students present. He hoped this lecture on academic exchanges would benefit more people, promoting multidirectional communication, thinking, and learning.
图 主持人魏巍教授主持讲座
Moderator Prof. Wei Wei hosts the lecture
丛高教授曾在丹麦奥尔堡大学、微软亚洲研究院和爱丁堡大学工作。他目前的研究兴趣包括 ML4DB、空间数据管理、时空数据挖掘和推荐系统等。他的研究论文曾在 WSDM'20 和 WSDM'22 会议上获得最佳论文runner-up奖，目前丛老师在谷歌学术（Google Scholar）上的引用次数超过 18,000 次，H 指数为 71。他曾担任 ICDE'2022 PC 联席主席、KDD'21 副主席、VLDB 2014 E&A track PC 联席主席以及 ICDE'18 PC 副主席等，他曾担任ACM Transactions on Database Systems (TODS) 的副编辑和 ACM KDD 新加坡分会副主席等。
Professor Gao Cong has worked at Aalborg University in Denmark, Microsoft Research Asia, and the University of Edinburgh. His research interests include ML4DB, spatial data management, spatiotemporal data mining, and recommendation systems. Professor Gao Cong's research papers have received the runner-up award for the best paper at the WSDM'20 and WSDM'22 conferences. He has been cited over 18,000 times on Google Scholar, with an H-index of 71. He has served as PC co-chair of ICDE'2022, vice chairman of KDD'21, PC co-chair of VLDB 2014 E&A track, and vice chairman of ICDE'18 PC. He has been the associate editor of ACM Transactions on Database Systems (TODS) and vice chairman of ACM KDD Singapore Chapter.
讲座首先概述了丛高教授团队近期开展的一系列研究工作，随后详细介绍了地理空间实体表示的研究问题，包括点状物体、轨迹和区域的地理空间实体表示及其应用，例如基于空间关系的关键词搜索、兴趣点推荐、速度推断、区域人口估算等。丛老师在报告中给出了详细案例，分析了目前地理空间应用的基础模型及向城市基础模型迈进的发展趋势，主要集中在促进地理空间实体的查询和分析的学习表示，以及应用于地理空间实体的自监督学习方法等问题。报告的最后丛老师给出了其所在团队在增强已有大模型空间感知能力方面做的相关探索工作，对结合大模型的时空地理信息可能研究方向进行了探讨。
The lecture began with an overview of the recent research conducted by Professor Gao Cong's team, followed by a detailed introduction to the research issues of geospatial entity representation, including the representation and applications of point objects, trajectories, and regions in geospatial entities. Examples were given, such as keyword searches based on spatial relationships, point of interest recommendations, velocity inference, and regional population estimation. During the presentation, Professor Cong provided detailed case studies, analyzing the current basic models of geospatial applications and the development trends toward city foundation models. The focus was on learning representations that facilitate the querying and analysis of geospatial entities and self-supervised learning methods applied to geospatial entities. At the end of the presentation, Professor Cong discussed the related exploratory work conducted by his team in enhancing the spatial perception capabilities of existing large models and explored possible research directions combining spatiotemporal geographic information with large models.
图 丛高教授进行学术报告
Prof. Gao Cong is giving a lecture.
报告结束后丛高教授和现场包括计算机学院、建规学院等在内各位与会师生就研究中所涉及的计算资源，地理信息和推荐系统的结合方式等问题展开了积极讨论，加深了大家对讲座内容的深入了解。
Following the presentation, Professor Cong engaged in active discussions with attendees, including students and faculty members from the School of Computer Science and Technology and the School of Architecture and Urban Planning. The focus of their discussion revolved around the integration of computational resources, geographic information, and recommendation systems within their research. This exchange of ideas contributed to a deeper understanding of the lecture among all participants.
图 报告结束后进行讨论
Discussion after the presentation
丛老师内容详实、精彩生动的报告给大家留下了深刻印象。所有到场听众都表示收获颇多。本次讲座促进了知名专家学者、青年学者与学生之间的学术交流，扩宽了我校师生的国际学术视野，有利于为推动学校之间深度合作奠定坚实基础。
Professor Cong's detailed and captivating presentation left a profound impression on the audience, and all attendees expressed that they gained a lot from the lecture. This lecture facilitated academic exchanges between renowned experts, young scholars, and students, broadening the international academic perspectives of HUST's faculty and students. It also laid a solid foundation for promoting in-depth cooperation between HUST and NTU.
