
Dr Mingyu Guo
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 research areas are algorithmic game theory and multiagent systems.
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Journals
Year Citation 2023 Guo, M., Li, J., Neumann, A., Neumann, F., & Nguyen, H. (2023). Limited Query Graph Connectivity Test.. CoRR, abs/2302.13036. 2023 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.
2023 Do, A. V., Guo, M., Neumann, A., & Neumann, F. (2023). Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint. IJCAI International Joint Conference on Artificial Intelligence, 2023-August, 5558-5566. 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 Dinh, N. T., Karimi-Arpanahi, S., Pourmousavi, S. A., Guo, M., Lemos-Vinasco, J., & Liisberg, J. A. R. (2023). On the Financial Consequences of Simplified Battery Sizing Models
without Considering Operational Details.2023 Guo, M., Ward, M., Neumann, A., Neumann, F., & Nguyen, H. (2023). Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs. Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37(5), 5649-5656.
Scopus22023 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.. CoRR, abs/2309.09012. 2023 Dinh, N. T., Karimi-Arpanahi, S., Pourmousavi, S. A., Guo, M., Lemos-Vinasco, J., & Liisberg, J. A. R. (2023). On the Financial Consequences of Simplified Battery Sizing Models without Considering Operational Details.. CoRR, abs/2310.02494. 2022 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 Do, A. V., Guo, M., Neumann, A., & Neumann, F. (2022). Niching-based Evolutionary Diversity Optimization for the Traveling Salesperson Problem.. CoRR, abs/2201.10316. 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 Guo, M., Ward, M., Neumann, A., Neumann, F., & Nguyen, H. (2022). Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs.. CoRR, abs/2212.04326. 2022 Ma, C., Zhang, W. E., Guo, M., Wang, H., & Sheng, Q. Z. (2022). Multi-document Summarization via Deep Learning Techniques: A Survey. ACM Computing Surveys, 55(5), 37 pages.
Scopus26 WoS102022 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.
2022 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 WoS12021 Sun, R., Wang, W., Dong, T., Li, S., Xue, M., Tyson, G., . . . Nepal, S. (2021). Measuring Vulnerabilities of Malware Detectors with
Explainability-Guided Evasion Attacks.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.
Scopus5 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.
2021 Do, A. V., Guo, M., Neumann, A., & Neumann, F. (2021). Analysis of Evolutionary Diversity Optimisation for Permutation Problems.. CoRR, abs/2102.11469. 2021 Ma, C., Zhang, W. E., Wang, H., Gupta, S., & Guo, M. (2021). Incorporating Linguistic Knowledge for Abstractive Multi-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. 2020 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.
Scopus9 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.
Scopus262009 Guo, M., & Conitzer, V. (2009). Worst-case optimal redistribution of VCG payments in multi-unit auctions. Games and Economic Behavior, 67(1), 69-98.
Scopus742008 Apt, K. R., Conitzer, V., Guo, M., & Markakis, E. (2008). Welfare Undominated Groves Mechanisms. CoRR, abs/0810.2865. -
Conference Papers
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Conference Items
Year Citation 2023 Neumann, A., Goulder, S., Yan, X., Sherman, G., Campbell, B., Guo, M., & Neumann, F. (2023). Evolutionary Diversity Optimization for the Detection and Concealment of Spatially Defined Communication Networks. Poster session presented at the meeting of Genetic and Evolutionary Computation Conference (GECCO 2023), ACM Press. Genetic and Evolutionary Computation Conference (GECCO 2023), ACM Press. -
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.
2014 S1: Scientific Computing, Algorithm Design and Data Structures
2014 S2: Algorithm Design and Data Structures, Distributed Systems
2015 S1: Advanced Algorithm, Algorithm Design and Data Structures
2015 S2: Algorithm Design and Data Structures, Algorithm and Data Structure Analysis, Specialised Programming
2016 S1: Advanced Algorithm, Algorithm Design and Data Structures
2016 S2: Algorithm Design and Data Structures, Specialised Programming
2017 S1: Advanced Algorithm, Specialised Programming
2017 S2: Algorithm and Data Structure Analysis, Specialised Programming
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 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 2020 Co-Supervisor Summarising Articles with Deep Neural Networks Doctor of Philosophy Doctorate Full Time Ms Congbo Ma 2020 Co-Supervisor Evolutionary Diversity Optimisation for Combinatorial Optimisation Problems Doctor of Philosophy Doctorate Full Time Mr Viet Anh Do -
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 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
Connect With Me
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