Scholar
Cheng Long
Google Scholar ID: LybJ7ksAAAAJ
Nanyang Technological University
Citations & Impact
Citations
3,645
H-index
35
i10-index
93
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Released the RaBitQ Library - a new open-source library for advanced quantization algorithm RaBitQ and high-accuracy, low-memory vector search. Delivered multiple talks at international conferences on topics including high-dimensional vector quantization, nearest neighbor search, reinforcement learning for spatial data management, and dense subgraph mining.
Research Experience
- From 2016 to 2018, he was a lecturer at Queen's University Belfast, UK.
Education
- 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.
Background
- Currently an Associate Professor at the College of Computing and Data Science (CCDS), Nanyang Technological University (NTU), Singapore. His research interests are broadly in databases and machine learning. Recently, he has been working on vector databases (and its applications in large models such as retrieval-augmented generative AI) and machine learning (on spatial data, time series, graphs, etc.). For more details about his research, please check VectorDB @NTU and Publications.
Co-authors