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Longbin Lai

Staff Engineer

Tongyi Lab, Alibaba Group

Dr. Longbin Lai obtained his Bachelor’s and Master’s degrees from Shanghai Jiao Tong University (SJTU) in 2010 and 2013, respectively. He then pursued his Ph.D. studies in the Database Group at the School of Computer Science and Engineering (CSE), University of New South Wales (UNSW), Sydney, under the supervision of Prof. Xuemin Lin and Prof. Lu Qin. He completed his Ph.D. in March 2017, and his thesis is available here. Dr. Lai joined Alibaba to develop large-scale graph data analytics systems for its e-commerce platform. He is also a lead contributor to the open-source project GraphScope. His work includes 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, he is a member of Alibaba Tongyi Lab, where he leads research and development initiatives focusing on innovative applications of Large Language Models (LLMs).

Interests

  • Big Data Management
  • Graph Database
  • Distributed Processing
  • Query Optimizations
  • Large Language Models

Education

  • PhD in Computer Science and Engineering, 2017

    University of New South Wales, Sydney

  • Master in Computer Engineering, 2013

    Shanghai Jiao Tong University

  • BSc in Information Security, 2010

    Shanghai Jiao Tong University

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