Mingyu Guo

Senior Lecturer · Adelaide University

Mingyu Guo

Intelligent systems for strategic decision-making in complex, multiagent environments.

mingyu.guo at adelaide dot edu dot au 4.19 Ingkarni Wardli Building Adelaide University, Australia

Profile

About Me

I am a Senior Lecturer in the School of Computer Science and Information Technology, Adelaide University.

My research focuses on building intelligent systems for strategic decision-making in complex, multiagent environments. For example, I leverage algorithmic game theory and optimisation to design coordination strategies for massive-scale autonomous systems, such as sovereign drone swarms. In cybersecurity, my work combines algorithmic graph-pattern exploration with machine learning to identify high-risk attack paths and strategically deploy defences within enterprise networks.

My ongoing research investigates the role of Large Language Models (LLMs) as the backbone for strategic reasoning and automated decision-making. This includes developing agentic workflows that optimise reasoning quality under strict cost constraints and utilising LLMs as automated heuristic designers for complex optimisation applications. I also study game-theoretical applications to GenAI-era economic models, including agentic commerce, autonomous economic decision-making, automated negotiation, advertisement integration, and market-based LLM provisioning.

Prior to joining the school, I was a Lecturer at the University of Liverpool, UK. I received my Ph.D. degree in Computer Science from Duke University, USA. My Ph.D. Dissertation was recognised as the runner-up for the Victor Lessor Distinguished Dissertation Award. I hold a M.S. degree in Applied Mathematics from University of Florida, USA and a B.S. degree in Mathematics (Chu Kochen Honour College) from Zhejiang University, China.

90+ Research publications
50+ CORE A*/A publications
1.5M+ Research income
10+ HDR completions

Updates

News

  1. An industry-funded PhD scholarship is available immediately for domestic and international students. This project addresses a specific practical business challenge and involves interacting with various stakeholders. We particularly welcome candidates currently in Australia who can commence immediately.
  2. Our latest collaboration with CMU explores robust multi-agent LLM reasoning under adversarial majorities. Read the full paper on arXiv: The Consensus Trap: Rescuing Multi-Agent LLMs from Adversarial Majorities via Token-Level Collaboration.
  3. Huge congratulations to PhD student Jialiang Li! His paper, Taming Treewidth DP with Modulators: A General Booster for Graph Heuristics, was accepted to IJCAI 2026. This work presents key findings from his MPhil thesis.
  4. How can we coordinate multiple sponsors for generative advertising? Our latest collaboration with CMU, Oxford, and Harvard tackles this challenge. Read the full paper on arXiv: Incentive-Aware Multi-Fidelity Optimization for Generative Advertising in Large Language Models.
  5. Shiman Sheng started her PhD.
  6. Congratulations to my PhD student, Grant Douglas, on his Best Student Paper Nomination at AAMAS (the flagship international conference for autonomous agents) for his paper Building Large-Scale Drone Defenses from Small-Team Strategies.
  7. I was appointed Graduate Research Coordinator of the School of Computer Science and Information Technology, supporting research excellence, mentorship, and impactful graduate research at Adelaide University.
  8. Quang Huy Ngo completed his PhD and received the Dean's Commendation for Doctoral Thesis Excellence.
  9. The paper Building Large-Scale Drone Defenses from Small-Team Strategies was accepted to AAMAS 2026 as an oral presentation (CORE A).
  10. I received the Faculty of Science, Engineering and Technology Executive Dean's International Engagement Award for International Partnership, while also completing my term as Associate Head International of the School of Computer and Mathematical Sciences (2023, 2025).
  11. Jinyang Li started his PhD.
  12. The paper On the Edge of Core (Non-)emptiness: An Automated Reasoning Approach to Approval-based Multi-winner Voting was accepted to AAAI 2026 as an oral presentation.
  13. Felix Buecheler started his PhD on advertising frameworks and auctions for large language model chats, co-supervised with Dr. Jiarui Gan at Oxford.
  14. I represented Adelaide University at the China International Fair for Trade in Services (CIFTIS), participated in the Adelaide University China Open Days, and joined the SET faculty mission to Vietnam.
  15. The paper Can Dependencies Induced by LLM-Agent Workflows Be Trusted? was accepted to NeurIPS 2025.
  16. I was appointed Acting Associate Dean International (North and East Asia), Faculty of Science, Engineering and Technology (acting period: July-September).
  17. Jialiang Li completed his MPhil and continued to an industry PhD co-funded by SA Pathology.
  18. A paper was accepted to IJCAI 2025.
  19. Trong Nam Dinh and Xiankun Yan completed their PhDs.
  20. Ben Wruck started his PhD.
  21. I presented at the EconCS Seminar at Harvard University.
  22. I made a research visit to the University of Nebraska-Lincoln.
  23. Grant Cameron Douglas started his PhD.
  24. I presented at the Computer Science Colloquium at Rutgers University.
  25. I gave an invited talk at Google DeepMind.
  26. I presented at the University of Bath.
  27. I presented at the Algorithmic Game Theory Seminar at Oxford.
  28. I visited the Institute for Ethics in AI at Oxford.
  29. I gave two presentations at AAAI 2024.
  30. I gave two presentations at CMU.
  31. I began a full-year special study visit at the Foundations of Cooperative AI Lab, Carnegie Mellon University (host: Prof. Vincent Conitzer).

Prospective Students

PhD/MPhil Opportunities

I am actively recruiting PhD/MPhil students. Currently, I do not have funding available for international PhD/MPhil students, but you are welcome to contact me regarding these options:

Projects

Project Opportunities for AU Students

You are welcome to contact me if you are a current Adelaide University student and are interested in exploring academic research. My Honours student also had the chance to collaborate with researchers at CMU, Oxford, and Harvard.

We can aim for publishable research, but practical projects are equally welcome. Industry-oriented projects, startup ideas, prototypes, and applied systems can all provide valuable research experience and meaningful outcomes.

Research Output

Full Publication List

  1. Taming Treewidth DP with Modulators: A General Booster for Graph Heuristics

    Jialiang Li, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo

    Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2026, Germany, 2026.

    CORE A*

  2. Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate

    Liangwei Nathan Zheng, Wei Emma Zhang, Mingyu Guo, Olaf Maennel, Weitong Chen

    Forty-third International Conference on Machine Learning (ICML), 2026.

    CORE A*

  3. Building Large-Scale Drone Defenses from Small-Team Strategies

    Grant Douglas, Stephen Franklin, Claudia Szabo, Mingyu Guo

    Proceedings of the 2026 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2026, Paphos, Cyprus., 2026.

    Best Student Paper Nomination, Oral presentation, CORE A

  4. On the Edge of Core (Non-)emptiness: An Automated Reasoning Approach to Approval-based Multi-winner Voting

    Ratip Emin Berker, Emanuel Tewolde, Vincent Conitzer, Mingyu Guo, Marijn Heule, Lirong Xia

    Fortyth AAAI Conference on Artificial Intelligence, Singapore (author order: students alphabetical, followed by supervisors alphabetical); also to be presented in ICLR 2026 Workshop on AI for Mechanism Design and Strategic Decision Making, 2026.

    Oral presentation, CORE A*

  5. Static-Graph Estimation in Hybrid GNNs Using Behavioral-Similarity and Clustering-Based Methods

    Ryusei Otani, Keiichi Namikoshi, Yuko Sakurai, Mingyu Guo, Satoshi Oyama

    IEEE Access, 2026.

  6. Behavioral-Similarity and Clustering-Based Methods for Static Graph Estimation in Hybrid GNNs

    Ryusei Otani, Keiichi Namikoshi, Yuko Sakurai, Mingyu Guo, Satoshi Oyama

    Fortyth AAAI Conference on Artificial Intelligence, Singapore, 2026.

    AAAI Student Abstract and Poster

  7. Evolving LLM-Derived Control Policies for Residential EV Charging and Vehicle-to-Grid Energy Optimization

    Vishesh Purnananda, Benjamin John Wruck, Mingyu Guo

    Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2026, 2026.

    CORE A, poster

  8. Can Dependencies Induced by LLM-Agent Workflows Be Trusted?

    Yu Yao, Yiliao Song, Yian Xie, Mengdan Fan, Mingyu Guo, Tongliang Liu

    Proceedings of the Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

    CORE A*

  9. Adaptive Wizard for Removing Cross-Tier Misconfigurations in Active Directory

    Huy Quang Ngo, Mingyu Guo, Hung X. Nguyen

    Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2025, 16th-22nd August 2025, Montreal, Canada, 2025.

    CORE A*

  10. An Interpretable Automated Mechanism Design Framework with Large Language Models

    Jiayuan Liu, Mingyu Guo, Vincent Conitzer

    EC 2025 Workshop on Information Economics x LLMs, 2025.

  11. Symmetry-Breaking Augmentations for Ad Hoc Teamwork

    Ravi Hammond, Dustin Craggs, Mingyu Guo, Jakob Nicolaus Foerster, Ian Reid

    ICLR 2025 Workshop on Bidirectional Human-AI Alignment, 2025.

  12. On the Financial Consequences of Simplified Battery Sizing Models without Considering Operational Details

    Nam Trong Dinh, Sahand Karimi-Arpanahi, S. Ali Pourmousavi, Mingyu Guo, Julian Lemos-Vinasco, Jon A. R. Liisberg

    Journal of Energy Storage, 2025.

  13. Tracking top-k structural hole spanners in dynamic networks

    Diksha Goel, Hong Shen, Hui Tian, Mingyu Guo

    Cluster Computing, Volume 28, Pages 1-21, 2025.

  14. Worst-Case VCG Redistribution Mechanism Design Based on the Lottery Ticket Hypothesis

    Mingyu Guo

    Thirty-Eighth AAAI Conference on Artificial Intelligence, Vancouver, Canada, Pages 9740--9748, 2024.

    CORE A*

  15. Limited Query Graph Connectivity Test

    Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung X. Nguyen

    Thirty-Eighth AAAI Conference on Artificial Intelligence, Vancouver, Canada, Pages 20718--20725, 2024.

    CORE A*

  16. Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack Graphs

    Huy Quang Ngo, Mingyu Guo, Hung X. Nguyen

    IEEE INFOCOM 2024 - IEEE Conference on Computer Communications, Vancouver, BC, Canada, May 20-23, 2024, Pages 451--460, 2024.

    CORE A*

  17. Mechanism design for public projects via three machine learning based approaches

    Mingyu Guo, Diksha Goel, Guanhua Wang, Runqi Guo, Yuko Sakurai, Muhammad Ali Babar

    Auton. Agents Multi Agent Syst., Volume 38, Number 1, Pages 16, 2024.

    CORE A

  18. Optimizing Cyber Defense in Dynamic Active Directories Through Reinforcement Learning

    Diksha Goel, Kristen Moore, Mingyu Guo, Derui Wang, Minjune Kim, Seyit Camtepe

    Computer Security - ESORICS 2024 - 29th European Symposium on Research in Computer Security, Bydgoszcz, Poland, September 16-20, 2024, Proceedings, Part I, Volume 14982, Pages 332--352, 2024.

    CORE A

  19. Optimizing Cyber Response Time on Temporal Active Directory Networks Using Decoys

    Huy Quang Ngo, Mingyu Guo, Hung X. Nguyen

    Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024, 2024.

    CORE A

  20. METAL: Metamorphic Testing Framework for Analyzing Large-Language Model Qualities

    Sangwon Hyun, Mingyu Guo, Muhammad Ali Babar

    IEEE Conference on Software Testing, Verification and Validation, ICST 2024, Toronto, ON, Canada, May 27-31, 2024, Pages 117--128, 2024.

    CORE A

  21. Evolutionary Multi-objective Diversity Optimization

    Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann

    Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV, Volume 15151, Pages 117--134, 2024.

    CORE A

  22. Disentangling Specificity for Abstractive Multi-document Summarization

    Congbo Ma, Wei Emma Zhang, Hu Wang, Haojie Zhuang, Mingyu Guo

    International Joint Conference on Neural Networks, IJCNN 2024, Yokohama, Japan, June 30 - July 5, 2024, Pages 1--8, 2024.

    CORE B

  23. Hardening Active Directory Graphs via Evolutionary Diversity Optimization based Policies

    Diksha Goel, Max Ward, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo

    ACM Trans. Evol. Learn. Optim., 2024.

  24. Effective graph-neural-network based models for discovering Structural Hole Spanners in large-scale and diverse networks

    Diksha Goel, Hong Shen, Hui Tian, Mingyu Guo

    Expert Syst. Appl., Volume 249, Pages 123636, 2024.

  25. Modeling Irrational Behavior of Residential End Users Using Non-Stationary Gaussian Processes

    Nam Trong Dinh, Sahand Karimi-Arpanahi, Rui Yuan, S. Ali Pourmousavi, Mingyu Guo, Jon A. R. Liisberg, Juli\'an Lemos-Vinasco

    IEEE Trans. Smart Grid, Volume 15, Number 5, Pages 4636--4648, 2024.

  26. Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs

    Mingyu Guo, Max Ward, Aneta Neumann, Frank Neumann, Hung Nguyen

    Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Washington, DC, USA, February 7-14, 2023, Pages 5649--5656, 2023.

    CORE A*

  27. Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint

    Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann

    Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China, Pages 5558--5566, 2023.

    CORE A*

  28. Multi-document Summarization via Deep Learning Techniques: A Survey

    Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng

    ACM Comput. Surv., Volume 55, Number 5, Pages 102:1--102:37, 2023.

    CORE A*

  29. A Scalable Double Oracle Algorithm for Hardening Large Active Directory Systems

    Yumeng Zhang, Max Ward, Mingyu Guo, Hung Nguyen

    Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, ASIA CCS 2023, Melbourne, VIC, Australia, July 10-14, 2023, Pages 993--1003, 2023.

    CORE A

  30. Near Optimal Strategies for Honeypots Placement in Dynamic and Large Active Directory Networks

    Huy Quang Ngo, Mingyu Guo, Hung Nguyen

    Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, London, United Kingdom, 29 May 2023 - 2 June 2023, Pages 2517--2519, 2023.

    CORE A*, extended abstract

  31. Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems

    Diksha Goel, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo

    Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2023, Lisbon, Portugal, July 15-19, 2023, Pages 1348--1356, 2023.

    CORE A

  32. Diversity Optimization for the Detection and Concealment of Spatially Defined Communication Networks

    Aneta Neumann, Sharlotte Gounder, Xiankun Yan, Gregory Sherman, Benjamin Campbell, Mingyu Guo, Frank Neumann

    Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2023, Lisbon, Portugal, July 15-19, 2023, Pages 1436--1444, 2023.

    CORE A

  33. Cost-Effective Community Battery Sizing and Operation Within a Local Market Framework

    Nam Trong Dinh, Sahand Karimi-Arpanahi, Ali Pourmousavi, Mingyu Guo, Jon Anders Reichert Liisberg

    IEEE Transactions on Energy Markets, Policy and Regulation, Volume 1, Number 4, Pages 536-548, 2023.

  34. Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs

    Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung Nguyen

    Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, February 22 - March 1, 2022, Pages 9360--9367, 2022.

    CORE A*

  35. Gini index based initial coin offering mechanism

    Mingyu Guo, Zhenghui Wang, Yuko Sakurai

    Auton. Agents Multi Agent Syst., Volume 36, Number 1, Pages 7, 2022.

    CORE A

  36. Niching-based evolutionary diversity optimization for the traveling salesperson problem

    Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann

    GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9 - 13, 2022, Pages 684--693, 2022.

    CORE A

  37. Defending active directory by combining neural network based dynamic program and evolutionary diversity optimisation

    Diksha Goel, Max Hector Ward-Graham, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo

    GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9 - 13, 2022, Pages 1191--1199, 2022.

    CORE A

  38. Mitigating Fairness and Efficiency Tradeoff in Vehicle-Dispatch Problems

    Masato Ota, Yuko Sakurai, Mingyu Guo, Itsuki Noda

    Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection - 20th International Conference, PAAMS 2022, L'Aquila, Italy, July 13-15, 2022, Proceedings, Volume 13616, Pages 307--319, 2022.

    CORE B

  39. Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization

    Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta, Mingyu Guo

    Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, PACLIC 2022, Manila, Philippines, October 20-22, 2022, Pages 147--156, 2022.

    CORE B

  40. Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural Networks

    Diksha Goel, Hong Shen, Hui Tian, Mingyu Guo

    IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2022, Niagara Falls, ON, Canada, November 17-20, 2022, Pages 64--71, 2022.

    CORE B

  41. Analysis of Evolutionary Diversity Optimization for Permutation Problems

    Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann

    ACM Trans. Evol. Learn. Optim., Volume 2, Number 3, Pages 11:1--11:27, 2022.

  42. Optimal sizing and scheduling of community battery storage within a local market

    Nam Trong Dinh, S. Ali Pourmousavi, Sahand Karimi-Arpanahi, Yogesh Pipada Sunil Kumar, Mingyu Guo, Derek Abbott, Jon A. R. Liisberg

    e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022 - 1 July 2022, Pages 34--46, 2022.

  43. Mechanism Design for Public Projects via Neural Networks

    Guanhua Wang, Runqi Guo, Yuko Sakurai, Muhammad Ali Babar, Mingyu Guo

    AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, Virtual Event, United Kingdom, May 3-7, 2021, Pages 1380--1388, 2021.

    CORE A*

  44. Revenue maximizing markets for zero-day exploits

    Mingyu Guo, Guanhua Wang, Hideaki Hata, Muhammad Ali Babar

    Auton. Agents Multi Agent Syst., Volume 35, Number 2, Pages 36, 2021.

    CORE A

  45. An asymptotically optimal VCG redistribution mechanism for the public project problem

    Mingyu Guo

    Auton. Agents Multi Agent Syst., Volume 35, Number 2, Pages 40, 2021.

    CORE A

  46. Analysis of evolutionary diversity optimisation for permutation problems

    Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann

    GECCO '21: Genetic and Evolutionary Computation Conference, Lille, France, July 10-14, 2021, Pages 574--582, 2021.

    CORE A, nominated for best paper!

  47. Maintenance of Structural Hole Spanners in Dynamic Networks

    Diksha Goel, Hong Shen, Hui Tian, Mingyu Guo

    46th IEEE Conference on Local Computer Networks, LCN 2021, Edmonton, AB, Canada, October 4-7, 2021, Pages 339--342, 2021.

    CORE B

  48. Public Project with Minimum Expected Release Delay

    Guanhua Wang, Mingyu Guo

    PRICAI 2021: Trends in Artificial Intelligence - 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8-12, 2021, Proceedings, Part I, Volume 13031, Pages 101--112, 2021.

    CORE B

  49. Redistribution in Public Project Problems via Neural Networks

    Guanhua Wang, Wuli Zuo, Mingyu Guo

    WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14 - 17, 2021, Pages 406--413, 2021.

    CORE B

  50. An Asymptotically Optimal VCG Redistribution Mechanism for the Public Project Problem

    Mingyu Guo

    Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, Pages 315--321, 2019.

    CORE A*

  51. Deep False-Name-Proof Auction Mechanisms

    Yuko Sakurai, Satoshi Oyama, Mingyu Guo, Makoto Yokoo

    PRIMA 2019: Principles and Practice of Multi-Agent Systems - 22nd International Conference, Turin, Italy, October 28-31, 2019, Proceedings, Volume 11873, Pages 594--601, 2019.

    CORE B

  52. Game Theoretical Modelling of Network/Cybersecurity

    Azhar Iqbal, Lachlan J. Gunn, Mingyu Guo, Muhammad Ali Babar, Derek Abbott

    IEEE Access, Volume 7, Pages 154167--154179, 2019.

  53. Cost Sharing Security Information with Minimal Release Delay

    Mingyu Guo, Yong Yang, Muhammad Ali Babar

    PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29 - November 2, 2018, Proceedings, Volume 11224, Pages 177--193, 2018.

    CORE B

  54. Understanding the Heterogeneity of Contributors in Bug Bounty Programs

    Hideaki Hata, Mingyu Guo, Muhammad Ali Babar

    2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2017, Toronto, ON, Canada, November 9-10, 2017, Pages 223--228, 2017.

    CORE A

  55. Speed up Automated Mechanism Design by Sampling Worst-Case Profiles: An Application to Competitive VCG Redistribution Mechanism for Public Project Problem

    Mingyu Guo, Hong Shen

    PRIMA 2017: Principles and Practice of Multi-Agent Systems - 20th International Conference, Nice, France, October 30 - November 3, 2017, Proceedings, Volume 10621, Pages 127--142, 2017.

    CORE B

  56. Optimizing Affine Maximizer Auctions via Linear Programming: An Application to Revenue Maximizing Mechanism Design for Zero-Day Exploits Markets

    Mingyu Guo, Hideaki Hata, Muhammad Ali Babar

    PRIMA 2017: Principles and Practice of Multi-Agent Systems - 20th International Conference, Nice, France, October 30 - November 3, 2017, Proceedings, Volume 10621, Pages 280--292, 2017.

    CORE B

  57. Utility design for two-player normal-form games

    Koji Kitagawa, Mingyu Guo, Kiminao Kogiso, Hideaki Hata

    11th Asian Control Conference, ASCC 2017, Gold Coast, Australia, December 17-20, 2017, Pages 2077--2082, 2017.

  58. Towards understanding an open-source bounty: Analysis of Bountysource

    Tetsuya Kanda, Mingyu Guo, Hideaki Hata, Ken-ichi Matsumoto

    IEEE 24th International Conference on Software Analysis, Evolution and Reengineering, SANER 2017, Klagenfurt, Austria, February 20-24, 2017, Pages 577--578, 2017.

  59. Individually Rational Strategy-Proof Social Choice with Exogenous Indifference Sets

    Mingyu Guo, Yuko Sakurai, Taiki Todo, Makoto Yokoo

    PRIMA 2016: Princiles and Practice of Multi-Agent Systems - 19th International Conference, Phuket, Thailand, August 22-26, 2016, Proceedings, Volume 9862, Pages 181--196, 2016.

    CORE B

  60. Revenue Maximizing Markets for Zero-Day Exploits

    Mingyu Guo, Hideaki Hata, Muhammad Ali Babar

    PRIMA 2016: Princiles and Practice of Multi-Agent Systems - 19th International Conference, Phuket, Thailand, August 22-26, 2016, Proceedings, Volume 9862, Pages 247--260, 2016.

    CORE B

  61. Competitive VCG Redistribution Mechanism for Public Project Problem

    Mingyu Guo

    PRIMA 2016: Princiles and Practice of Multi-Agent Systems - 19th International Conference, Phuket, Thailand, August 22-26, 2016, Proceedings, Volume 9862, Pages 279--294, 2016.

    CORE B

  62. Social Decision with Minimal Efficiency Loss: An Automated Mechanism Design Approach

    Mingyu Guo, Hong Shen, Taiki Todo, Yuko Sakurai, Makoto Yokoo

    Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015, Istanbul, Turkey, May 4-8, 2015, Pages 347--355, 2015.

    CORE A*

  63. Parametric Mechanism Design via Quantifier Elimination

    Atsushi Iwasaki, Etsushi Fujita, Taiki Todo, Hidenao Iwane, Hirokazu Anai, Mingyu Guo, Makoto Yokoo

    Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015, Istanbul, Turkey, May 4-8, 2015, Pages 1885--1886, 2015.

    CORE A*, extended abstract

  64. Better redistribution with inefficient allocation in multi-unit auctions

    Mingyu Guo, Vincent Conitzer

    Artif. Intell., Volume 216, Pages 287--308, 2014.

    CORE A*

  65. Increasing VCG Revenue by Decreasing the Quality of Items

    Mingyu Guo, Argyrios Deligkas, Rahul Savani

    Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Qu\'ebec City, Qu\'ebec, Canada, Pages 705--711, 2014.

    CORE A*

  66. Optimal false-name-proof single-item redistribution mechanisms

    Shunsuke Tsuruta, Masaaki Oka, Taiki Todo, Yujiro Kawasaki, Mingyu Guo, Yuko Sakurai, Makoto Yokoo

    International conference on Autonomous Agents and Multi-Agent Systems, AAMAS '14, Paris, France, May 5-9, 2014, Pages 221--228, 2014.

    CORE A*

  67. Revenue Maximization via Hiding Item Attributes

    Mingyu Guo, Argyrios Deligkas

    IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013, Pages 157--163, 2013.

    CORE A*

  68. Undominated Groves Mechanisms

    Mingyu Guo, Evangelos Markakis, Krzysztof R. Apt, Vincent Conitzer

    J. Artif. Intell. Res., Volume 46, Pages 129--163, 2013.

    CORE A

  69. Worst-case optimal redistribution of VCG payments in heterogeneous-item auctions with unit demand

    Mingyu Guo

    International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2012, Valencia, Spain, June 4-8, 2012 (3 Volumes), Pages 745--752, 2012.

    CORE A*

  70. Redistribution of VCG Payments in Public Project Problems

    Victor Naroditskiy, Mingyu Guo, Lachlan Dufton, Maria Polukarov, Nicholas R. Jennings

    Internet and Network Economics - 8th International Workshop, WINE 2012, Liverpool, UK, December 10-12, 2012. Proceedings, Volume 7695, Pages 323--336, 2012.

    CCF-A

  71. VCG Redistribution with Gross Substitutes

    Mingyu Guo

    Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, San Francisco, California, USA, August 7-11, 2011, Pages 675--680, 2011.

    CORE A*

  72. Budget-Balanced and Nearly Efficient Randomized Mechanisms: Public Goods and beyond

    Mingyu Guo, Victor Naroditskiy, Vincent Conitzer, Amy Greenwald, Nicholas R. Jennings

    Internet and Network Economics - 7th International Workshop, WINE 2011, Singapore, December 11-14, 2011. Proceedings, Volume 7090, Pages 158--169, 2011.

    CCF-A

  73. Computationally Feasible Approaches to Automated Mechanism Design (runner-up for the Victor Lessor Distinguished Dissertation Award -- annual best Ph.D. dissertation award for the field of multiagent systems worldwide)

    Mingyu Guo

    Duke University, Durham, NC, USA, 2010.

    Ph.D. dissertation

  74. Optimal-in-expectation redistribution mechanisms

    Mingyu Guo, Vincent Conitzer

    Artif. Intell., Volume 174, Number 5-6, Pages 363--381, 2010.

    CORE A*

  75. Computationally Feasible Automated Mechanism Design: General Approach and Case Studies

    Mingyu Guo, Vincent Conitzer

    Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010, Pages 1676--1679, 2010.

    CORE A*

  76. Worst-case efficiency ratio in false-name-proof combinatorial auction mechanisms

    Atsushi Iwasaki, Vincent Conitzer, Yoshifusa Omori, Yuko Sakurai, Taiki Todo, Mingyu Guo, Makoto Yokoo

    9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), Toronto, Canada, May 10-14, 2010, Volume 1-3, Pages 633--640, 2010.

    CORE A*

  77. Strategy-proof allocation of multiple items between two agents without payments or priors

    Mingyu Guo, Vincent Conitzer

    9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), Toronto, Canada, May 10-14, 2010, Volume 1-3, Pages 881--888, 2010.

    CORE A*

  78. False-name-proofness with bid withdrawal

    Mingyu Guo, Vincent Conitzer

    9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), Toronto, Canada, May 10-14, 2010, Volume 1-3, Pages 1475--1476, 2010.

    CORE A*, extended abstract

  79. Worst-case optimal redistribution of VCG payments in multi-unit auctions

    Mingyu Guo, Vincent Conitzer

    Games Econ. Behav., Volume 67, Number 1, Pages 69--98, 2009.

    ERA-10 A*

  80. Combinatorial prediction markets for event hierarchies

    Mingyu Guo, David M. Pennock

    8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), Budapest, Hungary, May 10-15, 2009, Volume 1, Pages 201--208, 2009.

    CORE A*

  81. Prediction Mechanisms That Do Not Incentivize Undesirable Actions

    Peng Shi, Vincent Conitzer, Mingyu Guo

    Internet and Network Economics, 5th International Workshop, WINE 2009, Rome, Italy, December 14-18, 2009. Proceedings, Volume 5929, Pages 89--100, 2009.

    CCF-A

  82. Competitive Repeated Allocation without Payments

    Mingyu Guo, Vincent Conitzer, Daniel M. Reeves

    Internet and Network Economics, 5th International Workshop, WINE 2009, Rome, Italy, December 14-18, 2009. Proceedings, Volume 5929, Pages 244--255, 2009.

    CCF-A

  83. Undominated VCG redistribution mechanisms

    Mingyu Guo, Vincent Conitzer

    7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), Estoril, Portugal, May 12-16, 2008, Volume 2, Pages 1039--1046, 2008.

    CORE A*

  84. Optimal-in-expectation redistribution mechanisms

    Mingyu Guo, Vincent Conitzer

    7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), Estoril, Portugal, May 12-16, 2008, Volume 2, Pages 1047--1054, 2008.

    CORE A*

  85. Better redistribution with inefficient allocation in multi-unit auctions with unit demand

    Mingyu Guo, Vincent Conitzer

    Proceedings 9th ACM Conference on Electronic Commerce (EC-2008), Chicago, IL, USA, June 8-12, 2008 (this conference is now called ACM Conference on Economics and Computation), Pages 210--219, 2008.

    CORE A*

  86. Welfare Undominated Groves Mechanisms

    Krzysztof R. Apt, Vincent Conitzer, Mingyu Guo, Evangelos Markakis

    Internet and Network Economics, 4th International Workshop, WINE 2008, Shanghai, China, December 17-20, 2008. Proceedings, Volume 5385, Pages 426--437, 2008.

    CCF-A

  87. Worst-case optimal redistribution of VCG payments

    Mingyu Guo, Vincent Conitzer

    Proceedings 8th ACM Conference on Electronic Commerce (EC-2007), San Diego, California, USA, June 11-15, 2007 (this conference is now called ACM Conference on Economics and Computation), Pages 30--39, 2007.

    CORE A*

Mentoring

Higher Degree by Research Students

Active

  1. Shiman Sheng Ph.D., Principal Supervisor, started 2026 with Dr. Jiarui Gan, University of Oxford Auction Models for Token Economics
  2. Felix Buecheler Ph.D., Principal Supervisor, started 2025 with Dr. Jiarui Gan, University of Oxford Advertisement auction frameworks for LLM chats
  3. Jialiang Li Ph.D., Principal Supervisor, started 2025 with Dr. Weitong Chen Machine Learning and Optimisation for Anatomical Pathology Workflow
  4. Benjamin Wruck Ph.D., Principal Supervisor, started 2025 with Diksha Goel, CSIRO's Data61 Machine Learning-Assisted Optimisation of Benefits for Prosumers of EV V2G/V2H
  5. Grant Cameron Douglas Ph.D., Principal Supervisor, started 2024 with Prof. Claudia Szabo and Stephen Franklin, SAAB Drone Swarm Behaviours and Counter-Strategies
  6. Quoc Dat Ngo M.Phil., Co-Supervisor, started 2025 with Prof. Hung Nguyen A Categorical Approach to Explainable Artificial Intelligence in Machine Learning
  7. Jinyang Li Ph.D., Co-Supervisor, started 2025 with Prof. Hung Nguyen LLM Guardrails for Malware
  8. Jeffrey Chan M.Phil., Co-Supervisor, started 2024 with Prof. Claudia Szabo Multi-Agent Reinforcement Learning for Counter-Unmanned Aerial Systems
  9. Liam Wigney Ph.D., Co-Supervisor, started 2024 with Prof. Frank Neumann Search Algorithms for Space and Energy

Completed

  1. Gamage Kokila Kasuni Perera Ph.D., Co-Supervisor, 2022-2026 with Dr. Aneta Neumann and Prof. Frank Neumann Evolutionary Computation with Chance Constraints
  2. Quang Huy Ngo Ph.D., Co-Supervisor, 2022-2026 with Prof. Hung Nguyen Practical Graph Optimisation and AI-Driven Models for Active Directory Security Hardening Dean's Commendation for Doctoral Thesis Excellence! Now a postdoctoral researcher at Adelaide University.
  3. Jialiang Li M.Phil., Principal Supervisor, 2021-2025 with Prof. Hung Nguyen Combinatorial Optimisation via Neural Networks Continuing to a PhD
  4. Xiankun Yan Ph.D., Co-Supervisor, 2022-2025 with Prof. Frank Neumann and Dr. Aneta Neumann Complexity with Chance Constraints
  5. Trong Nam Dinh Ph.D., Co-Supervisor, 2021-2025 with Dr. Ali Pourmousavi Kani Stackelberg Game-Based Electricity Markets Co-founder of OptiGrid
  6. Faheem Ullah Ph.D., Co-Supervisor, 2017-2020 with Prof. Ali Babar Cybersecurity Software Architecture Now a continuing Level B Lecturer at the University of Adelaide.
  7. Guanhua Wang Ph.D., Principal Supervisor, 2019-2022 with A/Prof. Wei Emma Zhang Neural Network Mechanism Design Dean's Commendation for Doctoral Thesis Excellence! Now co-founder at NestWeb.
  8. Diksha Goel Ph.D., Principal Supervisor, 2021-2023 with Prof. Hong Shen and A/Prof. Hui Tian Graph Theory and Graph Neural Networks Now a research scientist at CSIRO.
  9. Viet Anh Do Ph.D., Co-Supervisor, 2020-2024 with Prof. Frank Neumann and Dr. Aneta Neumann Diversity in Evolutionary Optimisation Now a postdoctoral researcher at the University of Adelaide.
  10. Congbo Ma Ph.D., Co-Supervisor, 2020-2024 with A/Prof. Wei Emma Zhang Multi-Document Summarization Now a postdoctoral researcher at New York University Abu Dhabi.

Funding

Research Grants

  • School of Computer and Mathematical Science Small Grant Round 2 Lead/Sole CI · University of Adelaide · 4k AUD · 2024
  • Optimized Hybrid MARL Techniques for Complex, Dynamic Environments 2nd CI · DSTG · 176k AUD · 2024
  • Warm Starts and Goal-based Heuristics to Improve MARL Performance in Advanced Distributed Defence 2nd CI · Defence Innovation Partnership · 150k AUD · 2024
  • Model Malicious Drone Swarm Behaviours and Devise Counter Strategies Lead/Sole CI · Defence Trailblazer PhD Scholarship with SAAB · approximately 138k AUD · 2024
  • Socrates: Software Security with a Focus on Critical Technologies 2nd CI · Cybersecurity CRC · 565k AUD · 2023
  • Tackling the TTCP CAGE Challenge Using Monte-Carlo Planning for Large-Scale POMDPs Lead CI · DSTG · 30k AUD · 2022
  • Abstract Game Prototype for Cyber Attack/Defence Lead CI · DSTG · 30k AUD · 2022
  • Machine Learning Techniques to Games on Graphs for Detection and Concealment of Spatially Defined Communication Networks 2nd CI · DSTG · 30k AUD · 2022
  • Tactics Development (Title Sanitised) 2nd CI · DSTG · 576k AUD · 2022
  • Blockchain Enabled Platform for Software Vulnerability Cost Sharing Lead CI · Cybersecurity CRC · 60k AUD · 2019
  • Unlocking Data for Automatic Detection of Insider Threats 2nd CI · Cybersecurity CRC · 30k AUD · 2019
  • Automated Design of Revenue-Maximizing Ad Auction Lead/Sole CI · Microsoft Research Cambridge · 69k GBP · Oct 2012 - Sept 2015

Service

Professional Services

  • Poster ChairGenetic and Evolutionary Computation Conference, GECCO 2024
  • Workshop ChairWorkshop on AI-based Optimisation (AI-OPT 2023)
  • Senior Program CommitteeIJCAI 2021, AAMAS 2020, AAAI 2020, AAMAS 2019, AAMAS 2018, PRIMA 2019, PRIMA 2018, IJCAI 2015
  • Guest EditorComputers and Electrical Engineering, special issue on Advances in Parallel Distributed Computing, Applications and Technologies, 2022
  • Local Organization Committee ChairWINE 2012

Invited Talks

Other Research Presentations

  1. Worst-Case VCG Redistribution Mechanism Design Based on the Lottery Ticket Hypothesis EconCS Seminar, Harvard University, 2024
    Computer Science Colloquium, Rutgers University, 2024
    Google DeepMind, 2024
    Algorithmic Game Theory Seminar, University of Oxford, 2024
    Algorithm Seminar, University of Bath, 2024
    Foundations of Cooperative AI Lab Seminar, Carnegie Mellon University, 2024
  2. Defending Active Directory Network by Combining Fixed Parameter Analysis and Machine Learning Global Engagement Webinar, University of Adelaide, 2023
  3. Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs Workshop on AI-based Optimisation (AI-OPT), Melbourne, Australia, 2022
  4. Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs International Joint Conference on Theoretical Computer Science - Frontier of Algorithmic Wisdom, City University of Hong Kong, 2022
    OPTIMA AI-based Optimisation Seminar Series, Australia, 2022
  5. Mechanism Design for Public Projects via Neural Networks Cyber, Games and AI Seminar Series, Adelaide, Australia, 2021
    Australasian Economic Theory Workshop, Adelaide, Australia, 2020
    Peking University, Beijing, China, 2019
  6. Gini Index based Initial Coin Offering Mechanism Guest Lecture on Blockchain, Peking University, Beijing, China, 2019
  7. Cost Sharing Security Information with Minimal Release Delay University of New South Wales, Sydney, Australia, 2019
  8. Revenue-Maximizing Markets for Zero-Day Exploits University of Electro-Communications, Tokyo, Japan, 2017
  9. Competitive Repeated Allocation Without Payments: Carsharing Applications Nara Institute of Technology, Nara, Japan, 2017
    Sun Yat-Sen University, Guangzhou, China, 2016
  10. Revenue Maximization via Hiding Item Attributes Adam Smith Business School, University of Glasgow, Glasgow, UK, 2013
  11. Computationally Feasible Automated Mechanism Design: General Approach and Case Study on VCG Redistribution Mechanisms Microsoft Research Asia, Beijing, China, 2012
    Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, 2012
  12. Better Redistribution with Inefficient Allocation in Multi-Unit Auctions Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands, 2011
  13. Computationally Feasible Automated Mechanism Design: General Approach and Case Studies University of Southampton, UK, 2010
  14. Undominated Groves Mechanisms Workshop on Prior-Free Mechanism Design, Guanajuato, Mexico, 2010
  15. Optimal VCG Redistribution Mechanisms GAMES 2008 Third World Congress of the Game Theory Society, Evanston, Illinois, USA, 2008
  16. Worst-Case Optimal Redistribution of VCG Payments in Multi-Unit Auctions DIMACS Workshop on the Boundary between Economic Theory and Computer Science, New Jersey, USA, 2007
  17. Improved VCG Redistribution Mechanisms Mini-Workshop on Selected Topics in E-Commerce, North Carolina State University, Raleigh, North Carolina, USA, 2007
    The 18th International Conference on Game Theory, Stony Brook, NY, USA, 2007