Shikui Tu  (涂仕奎)

Department of Computer Science and Engineering
Center for Cognitive Machines and Computational Health (CMaCH)
Shanghai Jiao Tong University
Shanghai, China. 200240.

Office: Room 541, SEIEE Building#3, Minhang Campus

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I am a tenured associate professor (长聘副教授) at Department of Computer Science and Engineering, Shanghai Jiao Tong University (SJTU). I am also an academic assistant to the department head, and to the head of Center for Cognitive Machines and Computational Health (CMaCH,电信学院认知机器与计算健康研究中心), School of Electronic Information and Electrical Engineering (SEIEE), SJTU. I obtained my B.Sc. from School of Mathematical Sciences, Peking University (PKU), in 2006, and Ph.D. from Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK) in 2012, under the supervision of Professor Lei Xu. I worked as postdoctoral associate in Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, between 2012 and 2017, under Professor Zhiping Weng and also Professor Craig Mello who won the Nobel Prize in Physiology or Medicine 2006.

Research Interests

My research interests include machine learning, bioinformatics, and also neural combinatorial optimization, drug discovery, causal discovery and reasoning, computational finance. I have published more than 80 academic papers in top conferences, e.g., NeurIPS/ICML/AAAI/IJCAI, and the journals with high impact factors, including Science, Cell, Nature Communications, Nature Structural and Molecular Biology, and so on.

Selected Honors and Awards

  • 2023 上海交通大学教书育人奖一等奖(计算机基础课程教学团队成员之一)
  • 2022 上海市教学成果奖一等奖(第7完成人)
  • 2021 上海市计算机学会教学成果奖一等奖(第3完成人)
  • 2021 上海交通大学2021年度教学成果奖特等奖(第6完成人)
  • 2020 华为云与计算先锋教师奖(2020-2025)
  • 2018 National "One-thousand Talent" Young Program Award
  • Selected Recent Publications | Full Publications

    Papers before 2012


  • CS420 Machine Learning: (2018 Spring), (2019 Spring), (2020 Spring), (2021 Spring), (2022 Spring)
  • CS2601 Linear and Convex Optimization: (2018-2023 Fall)
  • Academic Service

  • Journal Guest Editor: Methods, special issue: Deep Learning and its applications for Biomedical Graph Analysis
  • Journal Guest Editor: Frontiers in Genetics, special issue: Graph-Based Methods Volume I&II: Graph-Based Learning and its applications for Biomedical Data Analysis
  • Journal Reviewer: IJCV, Machine Learning, Neural Networks, etc.
  • Conference PC Member/Reviewer: NeurIPS (2021-2023), ICML (2021-2023), AAAI (2019-2023), CVPR 2021, IJCAI (2021-2023), etc.
  • Last updated on December 01, 2023.