Biography

Dr. Longbin Lai obtained his Degree of Bachelor and Master from Shanghai Jiao Tong University (SJTU) in 2010 and 2013 respectively. After that, He joined the Database group in CSE, UNSW, Sydney for Ph.D study under the supervision of Prof. Xuemin Lin and Dr. Lu Qin. He obtained his Ph.D degree in Mar. 2017, and his thesis is available here. He now joins Alibaba Damo Academy to build intelligent systems for big (graph) data processing. His research interests include graph algorithms, graph database, database management, distributed algorithms and systems.

Interests

  • Big Data Management
  • Graph Database
  • Distributed Processing
  • Query Optimizations

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

Projects

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Distributed Pattern Matching System with Cypher

To develop a graph pattern matching system in the distributed context, while gluing together the academic results of optimal join …

Recent Publications

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GraphScope: A One-Stop Large Graph Processing System

Due to diverse graph data and algorithms, programming and orchestration of complex computation pipelines have become the major …

GraphScope: A Unified Engine For Big Graph Processing

GraphScope is a system and a set of language extensions by exposing a unified programming interface to a wide variety of graph …

HUGE: An Efficient and Scalable Subgraph Enumeration System

Subgraph enumeration is a fundamental problem in graph analytics, which aims to find all instances of a given query graph on a large …

GAIA: A System for Interactive Analysis on Distributed Graphs Using a High-Level Language

GAIA is a distributed system designed specifically to make it easy for a variety of users to interactively analyze big graph data on …

Efficient structural node similarity computation on billion-scale graphs (ICDE20 extended to VLDBJ)

Structural node similarity is widely used in analyzing complex networks. As one of the structural node similarity metrics, role …

Contact

  • 969 Wen Yi Xi Road, Hangzhou, Zhejiang 311121