Dr Mingyu Guo
Senior Lecturer
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
My academic homepage:
https://mingyuguo.github.io/
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Journals
Year Citation 2025 Wang, Y., Weyer, E., Manzie, C., Simpson, A. R., & Blinco, L. (2025). Stochastic Co-Design of Storage and Control for Water Distribution Systems. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 33(1), 274-287.
2024 Guo, M., Goel, D., Wang, G., Guo, R., Sakurai, Y., & Babar, M. A. (2024). Mechanism design for public projects via three machine learning based approaches. Autonomous Agents and Multi-Agent Systems, 38(1), 30 pages.
2024 Do, A. V., Guo, M., Neumann, A., & Neumann, F. (2024). Evolutionary Multi-objective Diversity Optimization. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 15151 LNCS, 117-134.
2024 Goel, D., Shen, H., Tian, H., & Guo, M. (2024). Effective graph-neural-network based models for discovering Structural Hole Spanners in large-scale and diverse networks. Expert Systems with Applications, 249, 16 pages.
Scopus22024 Dinh, N. T., Karimi-Arpanahi, S., Pourmousavi, S. A., Yuan, R., Guo, M., Liisberg, J. A. R., & Lemos-Vinascco, J. (2024). Modelling Irrational Behaviour of Residential End Users using Non-Stationary Gaussian Processes. IEEE Transactions on Smart Grid, 15(5), 4636-4648.
Scopus22023 Dinh, N. T., Karimi-Arpanahi, S., Pourmousavi, S. A., Guo, M., & Liisberg, J. A. R. (2023). Cost-Effective Community Battery Sizing and Operation Within a Local Market Framework. IEEE Transactions on Energy Markets, Policy, and Regulation, 1(4), 536-548.
2023 Ma, C., Zhang, W. E., Guo, M., Wang, H., & Sheng, Q. Z. (2023). Multi-document Summarization via Deep Learning Techniques: A Survey. ACM COMPUTING SURVEYS, 55(5), 37 pages.
Scopus71 WoS152023 Goel, D., Shen, H., Tian, H., & Guo, M. (2023). Effective Graph-Neural-Network based Models for Discovering Structural Hole Spanners in Large-Scale and Diverse Networks. CoRR, abs/2302.12442.
2023 Goel, D., Shen, H., Tian, H., & Guo, M. (2023). Discovering Top-k Structural Hole Spanners in Dynamic Networks. CoRR, abs/2302.13292.
2023 Guo, M. (2023). Worst-Case VCG Redistribution Mechanism Design Based on the Lottery Ticket Hypothesis. CoRR, abs/2305.11011.
2023 Guo, M., Goel, D., Wang, G., Yang, Y., & Babar, M. A. (2023). Cost Sharing Public Project with Minimum Release Delay. CoRR, abs/2305.11657.
2022 Do, A. V., Guo, M., Neumann, A., & Neumann, F. (2022). Analysis of Evolutionary Diversity Optimisation for Permutation Problems. ACM Transactions on Evolutionary Learning and Optimization, 2(3), 1-27.
Scopus172022 Guo, M., Wang, Z., & Sakurai, Y. (2022). Gini index based initial coin offering mechanism. Autonomous Agents and Multi-Agent Systems, 36(1), 1-20.
Scopus2 WoS12022 Do, A. V., Guo, M., Neumann, A., & Neumann, F. (2022). Analysis of Evolutionary Diversity Optimization for Permutation Problems.. ACM Trans. Evol. Learn. Optim., 2, 11:1. 2022 Wang, G., Zuo, W., & Guo, M. (2022). Redistribution in Public Project Problems via Neural Networks. CoRR, abs/2203.05778.
2022 Goel, D., Shen, H., Tian, H., & Guo, M. (2022). Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural Networks. CoRR, abs/2212.08239.
2022 Do, A. V., Guo, M., Neumann, A., & Neumann, F. (2022). Niching-based Evolutionary Diversity Optimization for the Traveling Salesperson Problem.. CoRR, abs/2201.10316. 2021 Ma, C., Zhang, W. E., Wang, H., Gupta, S., & Guo, M. (2021). Dependency Structure for News Document Summarization. CoRR, abs/2109.11199. 2021 Guo, M., Li, J., Neumann, A., Neumann, F., & Nguyen, H. (2021). Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs.. CoRR, abs/2112.13175. 2021 Sun, R., Xue, M., Tyson, G., Dong, T., Li, S., Wang, S., . . . Nepal, S. (2021). Mate! Are You Really Aware? An Explainability-Guided Testing Framework
for Robustness of Malware Detectors.2021 Guo, M., Wang, G., Hata, H., & Babar, M. A. (2021). Revenue maximizing markets for zero-day exploits. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 35(2), 15 pages.
Scopus7 WoS12021 Guo, M. (2021). An asymptotically optimal VCG redistribution mechanism for the public project problem. Autonomous Agents and Multi-Agent Systems, 35(2), 1-27.
Scopus12020 Guo, M., Wang, Z., & Sakurai, Y. (2020). Gini Index based Initial Coin Offering Mechanism. CoRR, abs/2002.11387. 2020 Ma, C., Zhang, W. E., Guo, M., Wang, H., & Sheng, Q. Z. (2020). Multi-document Summarization via Deep Learning Techniques: A Survey. CoRR, abs/2011.04843. 2019 Iqbal, A., Gunn, L. J., Guo, M., Babar, M. A., & Abbott, D. (2019). Game theoretical modelling of network/cybersecurity. IEEE Access, 7, 154167-154179.
Scopus14 WoS92014 Guo, M., & Conitzer, V. (2014). Better redistribution with inefficient allocation in multi-unit auctions. Artificial Intelligence, 216, 287-308.
Scopus122013 Guo, M., Markakis, E., Apt, K., & Conitzer, V. (2013). Undominated Groves mechanisms. Journal of Artificial Intelligence Research, 46, 129-163.
Scopus202013 Guo, M., & Deligkas, A. (2013). Revenue Maximization via Hiding Item Attributes. CoRR, abs/1302.5332. 2012 Guo, M., Markakis, E., Apt, K. R., & Conitzer, V. (2012). Undominated Groves Mechanisms. CoRR, abs/1203.1809. 2010 Guo, M., & Conitzer, V. (2010). Optimal-in-expectation redistribution mechanisms. Artificial Intelligence, 174(5-6), 363-381.
Scopus272009 Guo, M., & Conitzer, V. (2009). Worst-case optimal redistribution of VCG payments in multi-unit auctions. Games and Economic Behavior, 67(1), 69-98.
Scopus762008 Apt, K. R., Conitzer, V., Guo, M., & Markakis, E. (2008). Welfare Undominated Groves Mechanisms. CoRR, abs/0810.2865. - Goel, D., Ward, M., Neumann, A., Neumann, F., Nguyen, H., & Guo, M. (n.d.). Hardening Active Directory Graphs via Evolutionary Diversity Optimization based Policies. ACM Transactions on Evolutionary Learning and Optimization.
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Conference Papers
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Conference Items
Year Citation 2022 Goel, D., Ward-Graham, M. H., Neumann, A., Neumann, F., Nguyen, H., & Guo, M. (2022). Defending active directory by combining neural network based dynamic program and evolutionary diversity optimisation.. Poster session presented at the meeting of GECCO. ACM. -
Theses
Year Citation 2010 Guo, M. (2010). Computationally Feasible Approaches to Automated Mechanism Design. (PhD Thesis). -
Internet Publications
Year Citation 2019 Iqbal, A., Guo, M., Gunn, L., Babar, M., & Abbott, D. (2019). Game theoretical modelling of network/cyber security [Review paper]. ArXiv.org. -
Preprint
Year Citation 2024 Do, A. V., Guo, M., Neumann, A., & Neumann, F. (2024). Evolutionary Multi-Objective Diversity Optimization. 2024 Ngo, H. Q., Guo, M., & Nguyen, H. (2024). Optimizing Cyber Response Time on Temporal Active Directory Networks
Using Decoys.2023 Guo, M., Li, J., Neumann, A., Neumann, F., & Nguyen, H. (2023). Limited Query Graph Connectivity Test. 2023 Do, A. V., Guo, M., Neumann, A., & Neumann, F. (2023). Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint.. 2023 Dinh, N. T., Karimi-Arpanahi, S., Pourmousavi, S. A., Yuan, R., Guo, M., Liisberg, J. A. R., & Lemos-Vinascco, J. (2023). Modelling Irrational Behaviour of Residential End Users using Non-Stationary Gaussian Processes.. 2023 Goel, D., Neumann, A., Neumann, F., Nguyen, H., & Guo, M. (2023). Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems.. 2023 Guo, M., Li, J., Neumann, A., Neumann, F., & Nguyen, H. (2023). Limited Query Graph Connectivity Test.. 2022 Guo, M., Ward, M., Neumann, A., Neumann, F., & Nguyen, H. (2022). Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs..
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2025 Principal Supervisor Machine Learning Assisted Optimisation of Benefits for Prosumers of EV VTG/VTH Doctor of Philosophy Doctorate Part Time Mr Benjamin John Wruck 2024 Co-Supervisor Multitasking evolutionary algorithms for combinatorial optimisation Doctor of Philosophy Doctorate Full Time Mr Liam Joshua Daly Wigney 2024 Principal Supervisor Defence Trailblazer project - Modelling malicious drone swarm behaviours Doctor of Philosophy Doctorate Full Time Mr Grant Cameron Douglas 2022 Co-Supervisor Scalable Hypergame models and solutions for Autonomous Cyber Operations. Doctor of Philosophy Doctorate Full Time Mr Quang Huy Ngo 2022 Co-Supervisor Bio-inspired Computing for Problems with Chance Constraints Doctor of Philosophy Doctorate Full Time Mr Xiankun Yan 2022 Co-Supervisor Bio-inspired Computing for Problems with Chance Constraints Doctor of Philosophy Doctorate Full Time Mrs Kokila Perera 2021 Co-Supervisor Flexible Aggregator Simulation Platform (FRESNO): Local Energy and Ancillary Services Markets (FRESNO C) Doctor of Philosophy Doctorate Full Time Mr Trong Nam Dinh 2021 Principal Supervisor Algorithms and Equilibrium Computation for Defending Active Directory Style Attack Graphs Master of Philosophy Master Full Time Mr Jialiang Li -
Past Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2021 - 2023 Principal Supervisor Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information Diffusion Doctor of Philosophy Doctorate Full Time Miss Diksha Goel 2020 - 2024 Co-Supervisor Deep Learning Based Multi-document Summarization Doctor of Philosophy Doctorate Full Time Ms Congbo Ma 2020 - 2024 Co-Supervisor Analysis of Search Heuristics for Diverse Solutions to Combinatorial Problems Doctor of Philosophy Doctorate Full Time Mr Viet Anh Do 2019 - 2022 Principal Supervisor Machine Learning Approaches to Automated Mechanism Design for Public Project Problem Doctor of Philosophy Doctorate Full Time Dr Guanhua Wang 2016 - 2020 Co-Supervisor Towards Quality-centric Design and Evaluation of Big Data Cyber Security Analytics Systems Doctor of Philosophy Doctorate Full Time Mr Faheem Ullah
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