Scholar
Longbin Lai
Google Scholar ID: iz2jcMYAAAAJ
Staff Engineer of Alibaba Group
Citations & Impact
Citations
669
H-index
11
i10-index
13
Publications
20
Co-authors
20
list available
Publications
Resume (English only)
Academic Achievements
- Published a paper titled 'Graphy'our Data: Towards End-to-End Modeling, Exploring and Generating Report from Raw Data', which is to appear in the ACM SIGMOD/PODS International Conference on Management of Data 2025 as a demo paper.
Research Experience
- At Alibaba, involved in the development of GAIA (a distributed dataflow system for large-scale graph queries), GLogS (a distributed interactive pattern matching system), and GOpt (a unified graph query optimization framework). Currently leads research and development initiatives focusing on innovative applications of Large Language Models at Alibaba Tongyi Lab.
Education
- PhD in Computer Science and Engineering from University of New South Wales, Sydney, in 2017, supervised by Prof. Xuemin Lin and Prof. Lu Qin; Master in Computer Engineering from Shanghai Jiao Tong University in 2013; BSc in Information Security from Shanghai Jiao Tong University in 2010.
Background
- Research interests include Big Data Management, Graph Database, Distributed Processing, Query Optimizations, and Large Language Models. Joined Alibaba to develop large-scale graph data analytics systems for its e-commerce platform. Also a lead contributor to the open-source project GraphScope.
Miscellany
- Participated in the 2010 graduates reunion event for the Information Security major at Shanghai Jiao Tong University.
