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Prof. LI Qing｜Qing Li
H-index:78
Citation Count:3.7万
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Biography
Currently a Chair Professor (Data Science) and the Head of the Department of Computing at the Hong Kong Polytechnic University. Formerly, he was the founding Director of the Multimedia software Engineering Research Centre (MERC) and a Professor at City University of Hong Kong in the Department of Computer Science from 1998 to 2018. Prior to these roles, he taught at the Hong Kong University of Science and Technology and the Australian National University. He has served as an Adjunct Professor at the University of Science and Technology of China (USTC) and Wuhan University, and as a Guest Professor at Hunan University, where he received his BEng. degree from the Department of Computer Science in 1982. The scholar is a Fellow of IEEE and IET/IEE, a member of ACM-SIGMOD, and the chairperson of the Hong Kong Web Society.
Education
1982.12
Hunan University (Changsha, China) BEng Department of Computer Science
Work Experience
1998.01 – 2018.12
City University of Hong Kong
Professor
Honors & Awards
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CSG4Rec: Collaborative-similarity guided semantic IDs tokenization for generative sequential recommendation
CSG4Rec: 基于协同相似性引导的语义ID分词方法用于生成式序列推荐
Information Fusion
IF15.5
scE2TM improves single-cell embedding interpretability and reveals cellular perturbation signatures
scE2TM 提高单细胞嵌入的可解释性并揭示细胞扰动特征
Nature Communications
IF15.7
Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning
将临床需求与AI能力对齐：关于LLMs用于医学推理的综述
Research on ACZF and THD of machine tool spindle load signal as the feature of tool wear monitoring
机床主轴负载信号作为刀具磨损监测特征的ACZF和THD研究
Measurement
IF5.6
MolReFlect: Toward In-Context Fine-Grained Alignments Between Molecules and Texts
MolReFlect：面向分子与文本间上下文细粒度对齐
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation
SSD4Rec：一种用于高效序列推荐的具有结构化状态空间对偶性的模型
Machine learning-driven health profiling and multidimensional trajectory analysis in first-ever ischaemic stroke: protocol for a multicentre cross-sectional and prospective longitudinal study
机器学习驱动的健康档案建立和多维轨迹分析在首次缺血性脑卒中中的应用：一项多中心横断面与前瞻性纵向研究的方案
BMJ OPEN
IF2.3
