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Dr Wei Shao

Dr Wei Shao

Adjunct Lecturer
Engineering
Computer Science and Engineering

I am currently an adjunct lecturer at UNSW, engaged as an IWY (Impossible Without You) Research Scientist at CSIRO Data61, visiting researcher at UC Davis and adjunct fellow at RMIT University. My research interests include AI-Cybersecurity, Graph neural networks, Spatio-temporal data mining, Reinforcement learning application (Autonmous driving and Drone), and the Internet of Things (IoT).
E-mail
wei.shao@unsw.edu.au
  • Conference Papers | 2024
    Kang Y; Chan J; Shao W; Salim FD; Leckie C, 2024, 'Long-Term Fairness in Ride-Hailing Platform', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 223 - 239, http://dx.doi.org/10.1007/978-3-031-70378-2_14
    Conference Papers | 2024
    Kang Y; Zhang R; Shao W; Salim F; Chan J, 2024, 'Promoting Two-sided Fairness in Dynamic Vehicle Routing Problems', in Gecco 2024 Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pp. 759 - 767, http://dx.doi.org/10.1145/3638529.3654207
    Conference Papers | 2024
    Shao W; Kang Y; Peng Z; Xiao X; Wang L; Yang Y; Salim FD, 2024, 'STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 2618 - 2627, http://dx.doi.org/10.1145/3637528.3671922

  • 9/24: I am honored to be the Best Paper Reviewer for SIGKDD conference!
  • 5/24: Our paper has been accepted by SIGKDD Conference on Knowledge Discovery and Data Mining (ACM SIGKDD, CCF A. Core A*). This paper first time introduce multi-objective reinforcement learning on spatio-temporal early prediction problem.
  • 4/24: Our paper has been accepted by IEEE Transactions on Mobile Computing (IEEE TMC, CCF A, Core A*)! This paper first time introduce the fairness into autonomous driving safety.
  • 3/24: Our paper about discussing the robustness of the fairness has been accepted by Data Mining and Knowledge Discovery (IF=4.8, Q1, Core A, CCF B)
  • 3/24: Our fairness paper has been accepted by GECCO (Core A).
  • 3/24: Our survey paper (IoT security) has been accepted by IEEE Internet of Things Journal.
  • 1/24: Our paper about parking avaiablity prediction has been accepted by PMC.
  • 12/23: I was awarded a grant from the AWS and RMIT University, aiming to significantly advance cybersecurity in network infrastructures (Principal Investigator).
  • 9/23: Our paper is accepted by ICDM (Core A*, CCF B)
  • 6/23: Join in data61 CSIRO as a IWY (Impossible Without you) Research Scientist