Yuan Sun

Dr. Yuan Sun completed his PhD in computer science and bachelor’s in applied mathematics. He is a research fellow with the School of Computing and Information Systems at the University of Melbourne, working towards Smarter & Faster Pharma with industrial partners such as CSL Limited. His current research focuses on developing effective machine learning models to enhance traditional optimization techniques such as column generation, Lagrangian relaxation, and (meta)heuristics.


Research interests

Artificial Intelligence, Operations Research, Machine Learning, Black-box Optimization


News

  • [01/12/21] A paper accepted to AAAI 2022.
  • [28/11/21] A workshop LEOL accepted by GECCO 2022.
  • [18/11/21] A paper accepted to IEEE ICDE 2022.
  • [22/06/21] Will give a tutorial on large-scale combinatorial optimisation at CEC’21.
  • [08/06/21] Received Monash University ECR Professional Development Grant.
  • [10/04/21] A paper accepted by IJCNN.
  • [05/01/21] A paper accepted to EJOR (JCR Q1, Core Rank A).

Teaching

  • [2021] Mathematics Learning Centre, Monash University, Tutor
  • [2020] COSC2123 Algorithms and Analysis, RMIT University, Lecturer
  • [2019] COSC1027/2033 Evolutionary Computing, RMIT University, Lecturer
  • [2017] COMP90038 Algorithm and Complexity, Unversity of Melbourne, Head Tutor
  • [2016] COMP90038 Algorithm and Complexity, Unversity of Melbourne, Tutor

Supervision

  • Jake Weiner (PhD, co-supervising with Prof Xiaodong Li and Prof Andreas T. Ernst)
  • Yunzhuang Shen (PhD, co-supervising with Prof Xiaodong Li and Prof Andrew Eberhard)

Prizes, honours and awards

  • 2021, Monash University ECR Professional Development Grant
  • 2020, Nomination for the Best Paper Award at the ACM GECCO conference
  • 2019, Winner of IEEE CEC Competition on Large-Scale Global Optimization
  • 2019, Nomination for the John Melvin Memorial Prize for Best PhD Thesis
  • 2015, Melbourne Abroad Travelling Scholarship, University of Melbourne
  • 2015, Travelling Grant from ACM (Association for Computing Machinery)
  • 2013-2017, Melbourne International Engagement Awards, University of Melbourne
  • 2013-2017, Melbourne International Fee Remission, University of Melbourne

Other professional activities

  • I am the Vice-Chair of IEEE Taskforce on Large-scale Global Optimization.
  • Journal article reviewing:
    • IEEE Transactions on Evolutionary Computation
    • IEEE Transactions on Cybernetics
    • IEEE Transactions on Systems, Man, and Cybernetics: Systems
    • IEEE Computational Intelligence Magazine
    • Swarm and Evolutionary Computation
    • Applied Soft Computing
    • Algorithms
  • Conference organisation:
    • Special session on large-scale global optimisation at CEC’20 and CEC’21.
    • Tutorial on large-scale optimisation and learning at CEC’20 and CEC’21.
    • Program Committee and/or Reviewer for ICML’22, AAAI’22, ICLR’22, NeurIPS’21, NeurIPS’20, CEC’21, CEC’20, AI’20.