Academic Profile : Faculty
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Assoc Prof Long Cheng
Associate Professor, College of Computing & Data Science
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Cheng LONG is currently an Associate Professor at the College of Computing & Data Science (CCDS), Nanyang Technological University (NTU), Singapore. From 2016 to 2018, he was a lecturer at Queen's University Belfast, UK. He received his PhD degree from the Hong Kong University of Science and Technology, Hong Kong, in 2015, and his BEng degree from South China University of Technology, China, in 2010. He has research interests broadly in data management and data mining. Specifically, he works in high-dimensional vector data management (and its applications in large models such as retrieval-augmented generative AI), spatial data management with machine learning-based techniques, spatial data mining in the urban domain (e.g., traffic and mobility analysis), and graph data mining (including dense subgraph mining and graphlet mining). His research has been recognized with the "Best Research Award" provided by ACM-Hong Kong, the "Fulbright-RGC Research Award" provided by Research Grant Council (Hong Kong), the "PG Paper Contest Award" provided by IEEE-HK, and the "Overseas Research Award" provided by HKUST.
• Vector data management
• Spatial data management
• Spatial data mining
• Graph data mining
• Spatial data management
• Spatial data mining
• Graph data mining
- Learn to Augment and Represent Spatial Urban Data
- Leveraging Machine Learning for Bipartite Matching
- On Leveraging Large Language Models for Spatioemporal Learning
- Google PhD Fellowship
Awards
• Best Paper Award of SIGMOD'20 (Nominee), 2020
• Fulbright-RGC Hong Kong Research Scholar Award, provided by Research Grants Council (RGC) of Hong Kong, 2014
• Prof. Francis Chin Research Award (Best Research Award), provided by ACM (HK), 2013
• Overseas Research Award, provided by HKUST, 2013
• Professor Samuel Chanson Teaching Assistant Award (Best Teaching Assistant Award), provided by HKUST, 2012
• Champion in 6th Postgraduate Paper Contest, provided by IEEE (HK) Computational Intelligence Chapter, 2012
• Fulbright-RGC Hong Kong Research Scholar Award, provided by Research Grants Council (RGC) of Hong Kong, 2014
• Prof. Francis Chin Research Award (Best Research Award), provided by ACM (HK), 2013
• Overseas Research Award, provided by HKUST, 2013
• Professor Samuel Chanson Teaching Assistant Award (Best Teaching Assistant Award), provided by HKUST, 2012
• Champion in 6th Postgraduate Paper Contest, provided by IEEE (HK) Computational Intelligence Chapter, 2012
Fellowships & Other Recognition
• IEEE Senior Member
• ACM Member
• ACM Member
Courses Taught
• CE/CZ4031 - Database System Principles: 2023/2024, 2022/2023, 2021/22, 2020/21, 2019/20
• SD6103 - Data Systems: 2023/2024, 2022/2023
• AI6128 - Urban Computing: 2023/2024, 2022/2023, 2021/22, 2020/21
• SD6103 - Data Systems: 2023/2024, 2022/2023
• AI6128 - Urban Computing: 2023/2024, 2022/2023, 2021/22, 2020/21
Supervision of PhD Students
Yuexuan XU, PhD, 08/2023 - Present
Sixiao ZHANG, PhD, 01/2023 - Present
Mingrui LIU, PhD, 08/2022 - Present
Xi YUAN, PhD, 08/2022 - Present
Hettige Kethmi Hirushini, PhD, 01/2022 - Present
Qiuyu ZHU, PhD, 08/2021 - Present
Jianyang GAO, PhD, 08/2021 - Present
Liang ZHANG, PhD, 08/2020 - Present
Qianxiong XU, PhD, 08/2020 - Present (Thesis Submitted)
Kaijun LIU, PhD, 01/2020 - Present (Thesis Submitted)
Kaixin WANG, PhD, 08/2019 - Present (Thesis Submitted)
Sixiao ZHANG, PhD, 01/2023 - Present
Mingrui LIU, PhD, 08/2022 - Present
Xi YUAN, PhD, 08/2022 - Present
Hettige Kethmi Hirushini, PhD, 01/2022 - Present
Qiuyu ZHU, PhD, 08/2021 - Present
Jianyang GAO, PhD, 08/2021 - Present
Liang ZHANG, PhD, 08/2020 - Present
Qianxiong XU, PhD, 08/2020 - Present (Thesis Submitted)
Kaijun LIU, PhD, 01/2020 - Present (Thesis Submitted)
Kaixin WANG, PhD, 08/2019 - Present (Thesis Submitted)