Mingyu Guo

Mingyu Guo mingyu.guo at adelaide dot edu dot au
4.19 Ingkarni Wardli Building
University of Adelaide, Australia
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About Me

I am a Lecturer in the School of Computer Science, University of Adelaide. My main research focus is algorithmic game theory and its application to cyber security. I am also interested in combinatorial optimisation via neural networks and evolutionary computation. Prior to joining the school, I was a Lecturer in the Economics and Computation group 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 (annual best Ph.D. Dissertation award for the field of multiagent systems worldwide). I hold a M.S. degree in Applied Mathematics from University of Florida, USA and a B.S. degree in Mathematics from Zhejiang University, China.

Journal Publications

  1. Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann. Analysis of Evolutionary Diversity Optimisation for Permutation Problems. ACM Transactions on Evolutionary Learning and Optimization, To appear, 2022.
  2. (CORE A*) Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng. Multi-document Summarization via Deep Learning Techniques: A Survey. ACM Computing Survey, To appear, 2022.
  3. (CORE A) Mingyu Guo, Zhenghui Wang, Yuko Sakurai. Gini Index Based Initial Coin Offering Mechanism. Auton. Agents Multi Agent Syst., Volume 36, Number 1, Pages 7, 2022.
  4. (CORE A) Mingyu Guo, Guanhua Wang, Hideaki Hata, Muhammad Ali Babar. Revenue Maximizing Markets for Zero-day Exploits. Auton. Agents Multi Agent Syst., Volume 35, Number 2, Pages 36, 2021.
  5. (CORE A) Mingyu Guo. An Asymptotically Optimal VCG Redistribution Mechanism for the Public Project Problem. Auton. Agents Multi Agent Syst., Volume 35, Number 2, Pages 40, 2021.
  6. Azhar Iqbal, Lachlan J. Gunn, Mingyu Guo, Muhammad Ali Babar, Derek Abbott. Game Theoretical Modelling of Network/Cybersecurity. IEEE Access, Volume 7, Pages 154167--154179, 2019.
  7. (CORE A*) Mingyu Guo, Vincent Conitzer. Better Redistribution With Inefficient Allocation in Multi-unit Auctions. Artif. Intell., Volume 216, Pages 287--308, 2014.
  8. (CORE A) Mingyu Guo, Evangelos Markakis, Krzysztof R. Apt, Vincent Conitzer. Undominated Groves Mechanisms. J. Artif. Intell. Res., Volume 46, Pages 129--163, 2013.
  9. (CORE A*) Mingyu Guo, Vincent Conitzer. Optimal-in-expectation Redistribution Mechanisms. Artif. Intell., Volume 174, Number 5-6, Pages 363--381, 2010.
  10. (ERA-10 A*) Mingyu Guo, Vincent Conitzer. Worst-case Optimal Redistribution of VCG Payments in Multi-unit Auctions. Games Econ. Behav., Volume 67, Number 1, Pages 69--98, 2009.

Conference Publications

  1. (CORE A*) Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung Nguyen. Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs. The 36th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2022, 2022.
  2. (CORE A) Diksha Goel, Max Hector Ward-Graham, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo. Defending Active Directory by Combining Neural Network Based Dynamic Program and Evolutionary Diversity Optimisation. GECCO '22: Genetic and Evolutionary Computation Conference, 2022, To appear, 2022.
  3. (CORE A) Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann. Niching-based Evolutionary Diversity Optimization for the Traveling Salesperson Problem. GECCO '22: Genetic and Evolutionary Computation Conference, 2022, To appear, 2022.
  4. (CORE B) Masato Ota, Yuko Sakurai, Mingyu Guo, Itsuki Noda. Mitigating Fairness and Efficiency Tradeoff in Vehicle-Dispatch Problems. 20th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2022), To appear, 2022.
  5. (CORE B) Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta, Mingyu Guo. Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization. The 36th annual Meeting of Pacific Asia Conference on Language, Information and Computation (PACLIC 36), To appear, 2022.
  6. Nam Trong Dinh, S. Ali Pourmousavi, Sahand Karimi-Arpanahi, Yogesh Pipada Sunil Kumar, Mingyu Guo, Derek Abbott, Jon A. R. Liisberg. Optimal Sizing and Scheduling of Community Battery Storage within a Local Market. The 13th ACM International Conference on Future Energy Systems (e-Energy 2022), To appear, 2022.
  7. (CORE B) Diksha Goel, Hong Shen, Hui Tian, Mingyu Guo. Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural Networks. The 21st IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Niagara Falls, Canada, 2022.
  8. (CORE A*) Guanhua Wang, Runqi Guo, Yuko Sakurai, Muhammad Ali Babar, Mingyu Guo. Mechanism Design for Public Projects via Neural Networks. AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, Virtual Event, United Kingdom, May 3-7, 2021, Pages 1380--1388, 2021.
  9. (CORE A, Nominated for Best Paper!) Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann. Analysis of Evolutionary Diversity Optimisation for Permutation Problems. GECCO '21: Genetic and Evolutionary Computation Conference, Lille, France, July 10-14, 2021, Pages 574--582, 2021.
  10. (CORE B) Guanhua Wang, Wuli Zuo, Mingyu Guo. Redistribution in Public Project Problems via Neural Networks. The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Melbourne, Australia, 2021, 2021.
  11. (CORE B) Diksha Goel, Hong Shen, Hui Tian, Mingyu Guo. Maintenance of Structural Hole Spanners in Dynamic Networks. 46th IEEE Conference on Local Computer Networks, LCN 2021, Edmonton, AB, Canada, October 4-7, 2021, Pages 339--342, 2021.
  12. (CORE B) Guanhua Wang, Mingyu Guo. Public Project With Minimum Expected Release Delay. 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.
  13. (CORE A*) Mingyu Guo. An Asymptotically Optimal VCG Redistribution Mechanism for the Public Project Problem. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, Pages 315--321, 2019.
  14. (CORE B) Yuko Sakurai, Satoshi Oyama, Mingyu Guo, Makoto Yokoo. Deep False-Name-Proof Auction Mechanisms. 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.
  15. (CORE B) Mingyu Guo, Yong Yang, Muhammad Ali Babar. Cost Sharing Security Information With Minimal Release Delay. 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.
  16. Koji Kitagawa, Mingyu Guo, Kiminao Kogiso, Hideaki Hata. Utility Design for Two-player Normal-form Games. 11th Asian Control Conference, ASCC 2017, Gold Coast, Australia, December 17-20, 2017, Pages 2077--2082, 2017.
  17. (CORE A) Hideaki Hata, Mingyu Guo, Muhammad Ali Babar. Understanding the Heterogeneity of Contributors in Bug Bounty Programs. 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2017, Toronto, ON, Canada, November 9-10, 2017, Pages 223--228, 2017.
  18. (CORE B) Mingyu Guo, Hong Shen. Speed up Automated Mechanism Design by Sampling Worst-Case Profiles: An Application to Competitive VCG Redistribution Mechanism for Public Project Problem. 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.
  19. (CORE B) Mingyu Guo, Hideaki Hata, Muhammad Ali Babar. Optimizing Affine Maximizer Auctions via Linear Programming: An Application to Revenue Maximizing Mechanism Design for Zero-Day Exploits Markets. 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.
  20. Tetsuya Kanda, Mingyu Guo, Hideaki Hata, Ken-ichi Matsumoto. Towards Understanding an Open-source Bounty: Analysis of Bountysource. IEEE 24th International Conference on Software Analysis, Evolution and Reengineering, SANER 2017, Klagenfurt, Austria, February 20-24, 2017, Pages 577--578, 2017.
  21. (CORE B) Mingyu Guo, Yuko Sakurai, Taiki Todo, Makoto Yokoo. Individually Rational Strategy-Proof Social Choice With Exogenous Indifference Sets. 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.
  22. (CORE B) Mingyu Guo, Hideaki Hata, Muhammad Ali Babar. Revenue Maximizing Markets for Zero-Day Exploits. 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.
  23. (CORE B) Mingyu Guo. Competitive VCG Redistribution Mechanism for Public Project Problem. 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.
  24. (CORE A*) Mingyu Guo, Hong Shen, Taiki Todo, Yuko Sakurai, Makoto Yokoo. Social Decision With Minimal Efficiency Loss: An Automated Mechanism Design Approach. Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015, Istanbul, Turkey, May 4-8, 2015, Pages 347--355, 2015.
  25. Atsushi Iwasaki, Etsushi Fujita, Taiki Todo, Hidenao Iwane, Hirokazu Anai, Mingyu Guo, Makoto Yokoo. Parametric Mechanism Design via Quantifier Elimination. Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015, Istanbul, Turkey, May 4-8, 2015, Pages 1885--1886, 2015.
  26. (CORE A*) Mingyu Guo, Argyrios Deligkas, Rahul Savani. Increasing VCG Revenue by Decreasing the Quality of Items. Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Qu\'ebec City, Qu\'ebec, Canada, Pages 705--711, 2014.
  27. (CORE A*) Shunsuke Tsuruta, Masaaki Oka, Taiki Todo, Yujiro Kawasaki, Mingyu Guo, Yuko Sakurai, Makoto Yokoo. Optimal False-name-proof Single-item Redistribution Mechanisms. International conference on Autonomous Agents and Multi-Agent Systems, AAMAS '14, Paris, France, May 5-9, 2014, Pages 221--228, 2014.
  28. (CORE A*) Mingyu Guo, Argyrios Deligkas. Revenue Maximization via Hiding Item Attributes. IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013, Pages 157--163, 2013.
  29. (CORE A*) Mingyu Guo. Worst-case Optimal Redistribution of VCG Payments in Heterogeneous-item Auctions With Unit Demand. International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2012, Valencia, Spain, June 4-8, 2012 (3 Volumes), Pages 745--752, 2012.
  30. Victor Naroditskiy, Mingyu Guo, Lachlan Dufton, Maria Polukarov, Nicholas R. Jennings. Redistribution of VCG Payments in Public Project Problems. Internet and Network Economics - 8th International Workshop, WINE 2012, Liverpool, UK, December 10-12, 2012. Proceedings, Volume 7695, Pages 323--336, 2012.
  31. (CORE A*) Mingyu Guo. VCG Redistribution With Gross Substitutes. Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, San Francisco, California, USA, August 7-11, 2011, 2011.
  32. Mingyu Guo, Victor Naroditskiy, Vincent Conitzer, Amy Greenwald, Nicholas R. Jennings. Budget-Balanced and Nearly Efficient Randomized Mechanisms: Public Goods and Beyond. Internet and Network Economics - 7th International Workshop, WINE 2011, Singapore, December 11-14, 2011. Proceedings, Volume 7090, Pages 158--169, 2011.
  33. (CORE A*) Mingyu Guo, Vincent Conitzer. Computationally Feasible Automated Mechanism Design: General Approach and Case Studies. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010, 2010.
  34. (CORE A*) Atsushi Iwasaki, Vincent Conitzer, Yoshifusa Omori, Yuko Sakurai, Taiki Todo, Mingyu Guo, Makoto Yokoo. Worst-case Efficiency Ratio in False-name-proof Combinatorial Auction Mechanisms. 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), Toronto, Canada, May 10-14, 2010, Volume 1-3, Pages 633--640, 2010.
  35. (CORE A*) Mingyu Guo, Vincent Conitzer. Strategy-proof Allocation of Multiple Items between Two Agents without Payments or Priors. 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), Toronto, Canada, May 10-14, 2010, Volume 1-3, Pages 881--888, 2010.
  36. Mingyu Guo, Vincent Conitzer. False-name-proofness With Bid Withdrawal. 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), Toronto, Canada, May 10-14, 2010, Volume 1-3, Pages 1475--1476, 2010.
  37. (CORE A*) Mingyu Guo, David M. Pennock. Combinatorial Prediction Markets for Event Hierarchies. 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), Budapest, Hungary, May 10-15, 2009, Volume 1, Pages 201--208, 2009.
  38. Peng Shi, Vincent Conitzer, Mingyu Guo. Prediction Mechanisms That Do Not Incentivize Undesirable Actions. Internet and Network Economics, 5th International Workshop, WINE 2009, Rome, Italy, December 14-18, 2009. Proceedings, Volume 5929, Pages 89--100, 2009.
  39. Mingyu Guo, Vincent Conitzer, Daniel M. Reeves. Competitive Repeated Allocation without Payments. Internet and Network Economics, 5th International Workshop, WINE 2009, Rome, Italy, December 14-18, 2009. Proceedings, Volume 5929, Pages 244--255, 2009.
  40. (CORE A*) Mingyu Guo, Vincent Conitzer. Undominated VCG Redistribution Mechanisms. 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), Estoril, Portugal, May 12-16, 2008, Volume 2, Pages 1039--1046, 2008.
  41. (CORE A*) Mingyu Guo, Vincent Conitzer. Optimal-in-expectation Redistribution Mechanisms. 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), Estoril, Portugal, May 12-16, 2008, Volume 2, Pages 1047--1054, 2008.
  42. (CORE A*) Mingyu Guo, Vincent Conitzer. Better Redistribution With Inefficient Allocation in Multi-unit Auctions With Unit Demand. Proceedings 9th ACM Conference on Electronic Commerce (EC-2008), Chicago, IL, USA, June 8-12, 2008, Pages 210--219, 2008.
  43. Krzysztof R. Apt, Vincent Conitzer, Mingyu Guo, Evangelos Markakis. Welfare Undominated Groves Mechanisms. Internet and Network Economics, 4th International Workshop, WINE 2008, Shanghai, China, December 17-20, 2008. Proceedings, Volume 5385, Pages 426--437, 2008.
  44. (CORE A*) Mingyu Guo, Vincent Conitzer. Worst-case Optimal Redistribution of VCG Payments. Proceedings 8th ACM Conference on Electronic Commerce (EC-2007), San Diego, California, USA, June 11-15, 2007, Pages 30--39, 2007.

Higher Degree by Research Students

  1. Guanhua Wang, Ph.D. (completed), Principal supervisor (with Dr. Wei Emma Zhang), started in 2019, finished in 2022. Neural Network Mechanism Design. Dean's Commendation for Doctoral Thesis Excellence!
  2. Diksha Goel, Ph.D. (active), Principal supervisor (with Prof. Hong Shen and Dr. Hui Tian), started in 2021. Graph Theory and Graph Neural Networks.
  3. Ruoxi Sun, Ph.D. (active), Principal supervisor (with Dr. Jason Xue), started in 2022. Software Privacy.
  4. Jialiang Li, M.Phil. (active), Principal supervisor (with A/Prof. Hung Nguyen), started in 2021. Game-theoretical Cyber Attack Graphs.
  5. Quang Huy Ngo, Ph.D. (active), Co-supervisor (with A/Prof. Hung Nguyen), started in 2022. Abnormality Detection Based on Security Logs.
  6. Yumeng Zhang, M.Phil. (active), Co-supervisor (with A/Prof. Hung Nguyen), started in 2022. Network/Attack Graph Reliability Analysis.
  7. Viet Anh Do, Ph.D. (active), Co-supervisor (with Prof. Frank Neumann and Dr. Aneta Neumann), started in 2020. Diversity Evolutionary Optimisation.
  8. Xiankun Yan, Ph.D. (active), Co-supervisor (with Prof. Frank Neumann and Dr. Aneta Neumann), started in 2022. Evolutionary Computation.
  9. Gamage Kokila Kasuni Perera, Ph.D. (active), Co-supervisor (with Dr. Aneta Neumann and Prof. Frank Neumann), started in 2022. Evolutionary Computation.
  10. Congbo Ma, Ph.D. (active), Co-supervisor (with Dr. Wei Emma Zhang), started in 2020. Multi-Document Summarization.
  11. Trong Nam Dinh, Ph.D. (active), Co-supervisor (with Dr. Ali Pourmousavi Kani), started in 2021. Stackelberg Game Based Electricity Market.
  12. Faheem Ullah, Ph.D. (completed), Co-supervisor (with Prof. Ali Babar), started in 2017, finished in 2020. Cyber Security Software Architecture. Currently a PostDoctoral Researcher at University of Adelaide.

Professional Services

Research Grants

Other Research Presentations

  1. 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
  2. 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
  3. Gini Index based Initial Coin Offering Mechanism
    •Guest Lecture on Blockchain, Peking University, Beijing, China, 2019
  4. Cost Sharing Security Information with Minimal Release Delay
    •University of New South Wales, Sydney, Australia, 2019
  5. Revenue Maximizing Markets for Zero-Day Exploits
    •University of Electro-Communications, Tokyo, Japan, 2017
  6. Competitive Repeated Allocation Without Payments: Carsharing Applications
    •Nara Institute of Technology, Nara, Japan, 2017
    •Sun Yat-Sen University, Guangzhou, China, 2016
  7. Revenue Maximization via Hiding Item Attributes
    •Adam Smith Business School, University of Glasgow, Glasgow, UK, 2013
  8. 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
  9. Better Redistribution with Inefficient Allocation in Multi-Unit Auctions
    •Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands, 2011
  10. Computationally Feasible Automated Mechanism Design: General Approach and Case Studies
    •University of Southampton, UK, 2010
  11. Undominated Groves Mechanisms
    •Workshop on Prior-free Mechanism Design, Guanajuato, Mexico, 2010
  12. Optimal VCG Redistribution Mechanisms
    •GAMES 2008 Third World Congress of the Game Theory Society, Evanston, Illinois, USA, 2008
  13. 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
  14. 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

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