时间：2025-10-31 10:00

地点：吉瑞国际7楼会议室

报名截止时间：2025-10-30 23:59

李清（Qing Li），现任香港理工大学计算学系系主任、讲座教授。他于湖南大学获学士学位，并于南加州大学获硕士及博士学位，所有学位均为计算机科学专业。其主要研究方向包括多模态数据管理、概念数据建模、社交媒体、网络服务以及电子学习系统。在这些领域，他累计发表/合作发表学术论文500余篇，总被引次数超过56,800次，H指数达96（数据来源：Google Scholars）。他长期活跃于学术界，现任爱思唯尔旗下《Computers & Education: X Reality》主编，同时担任《IEEE Transactions on Artificial Intelligence》《IEEE Transactions on Cognitive and Developmental Systems》《IEEE Transactions on Knowledge and Data Engineering》《ACM Transactions on Internet Technology》《Data Science and Engineering》及《World Wide Web》期刊副编辑，并曾担任多个国际重要会议的会议主席/程序委员会主席。他还兼任DASFAA、ER、ACM RecSys、IEEE U-MEDIA和ICWL等国际会议的指导委员会成员。李教授为IEEE会士。

单位：香港理工大学

Knowledge representations and interactions are at the forefront of teaching, learning, and career planning activities in all endeavors of education and career development. University students are increasingly faced with a myriad of interdisciplinary topics that are seemingly unrelated when unstructured knowledge representations are presented, especially during advising and career orientation sessions. This is especially challenging in fast-changing technical domains such as Computer and Data Science where university curricula are reviewed on an annual basis. This makes it increasingly difficult for instructors and administrators to present both the big picture as well as the detailed knowledge components of degree programs to students who face problems in choosing a career and/or establishing a plan of study and assessment. In this talk, I shall introduce the KCUBE project, a knowledge graph (KG) framework equipped with virtual reality for structuring and presenting both the overviews of the Computer Science curriculum taught at the Department of Computing in the Hong Kong Polytechnic University, as well as for students to develop their study with the help of virual tutor/mentor. We employ computational information storage and retrieval methods, machine learning, and interactive virtual reality to facilitate users (instructors and students) to better understand, manipulate, and visualize abstract concepts and relationships in the development of teaching and learning activities in our department.