Dr. Leilei Sun


  • Associate Professor
  • Email:

    leileisun@buaa.edu.cn

  • Address:

    37 Xueyuan Road, Haidian District, Beijing, P.R. China, 100191

  • Department:

    State Key Laboratory of Software Development Environment

  • Institution:

    School of Computer Science and Engineering, Beihang University

Research


  • Data-driven Studies

    Deep spatio-temporal learning networks, graph neural networks, and time series data analysis and mining

    @KDD, TKDE, ICDE, WWW, ICDM

  • Scenario-driven Studies

    Traffic scenario: Trajectory recovery,OD prediction, Traffic flow rate prediction,Traffic congestion prediction

    @IJCAI, AAAI, SIGIR, KDD

  • Future-driven Studies

    Dynamic graph representation learning, Large spatiotemporal model, Large behavioral model

    @KDD,NIPS,TKDE

Brief Biography


Associate Professor and Postgraduate Supervisor of the School of Computer Science and Technology, Beihang University. He received his bachelor's degree in Engineering in 2009, master's degree in 2012, and Ph.D. in 2017 from Dalian University of Technology. He visited and studied at Rutgers, The State University of New Jersey in the United States from September 2015 to August 2016 as a national public scholar. He conducted postdoctoral research at Tsinghua University from March 2017 to April 2019. His main research direction is machine learning and data mining, including deep spatio-temporal learning networks, graph neural networks, time series data analysis and mining, etc. He has published more than 60 academic papers in international top journals and conferences in the field of data mining, including more than 30 CCF-A level journals/conference papers. He serves as a program committee member of international academic conferences such as KDD, AAAI, IJCAI, SIGIR, CIKM, WWW, WSDM, and KSEM, and as a reviewer of international academic journals such as TKDE, PAMI, TKDD, and TITS. He is the host of the key project of the "New Generation of Artificial Intelligence" major project of the Ministry of Science and Technology's Science and Technology Innovation 2030 plan, the National Natural Science Foundation of China's general project "Research and Application of Dynamic Graph Representation Learning", the National Natural Science Foundation of China's youth fund "Generalized Spatio-temporal Data Analysis and Mining", the Youth Top-notch Talent Support Project of Beijing University of Aeronautics and Astronautics "Dynamic Evolutionary Prediction Model for Smart Transportation", and has participated in more than 10 national and provincial key projects such as the National Natural Science Foundation Joint Fund and the Ministry of Science and Technology's Key R&D Program. His research results have been well applied in departments such as the National Road Network Center, and won the Special Award of the 2021 China Highway Society Science and Technology Award. He has been awarded the honorary titles of "Excellent Class Tutor" and "Excellent Academic Tutor", and has repeatedly guided doctoral/master's students to win the "National Scholarship". He has guided undergraduate science competitions, won one first prize and three second prizes of the "Feng Ru Cup", and was named an "Excellent Guidance Teacher of the Feng Ru Cup" competition.

News


恭喜韩良喆,于乐,姬硕三位同学获得2023年国家奖学金!!!

恭喜张瑞星同学获得2023年博士新生奖学金