All Publications

Extending Myerson's Optimal Auctions to Correlated Bidders via Neural Network Interpolation

Mingyu Guo, Jiayuan Liu, Vincent Conitzer

Neural-network methods for designing auctions when bidders' valuations are correlated, in collaboration with Carnegie Mellon.

Incentive-Aware Multi-Fidelity Optimization for Generative Advertising in Large Language Models

Jiayuan Liu, Barry Wang, Jiarui Gan, Tonghan Wang, Leon Xie, Mingyu Guo, Vincent Conitzer

Selecting and pricing advertising in language-model responses while accounting for users' interests, advertisers' incentives and generation costs.

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

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

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

Building Large-Scale Drone Defenses from Small-Team Strategies

Grant Douglas, Stephen Franklin, Claudia Szabo, Mingyu Guo

Building large-scale drone defences from small-team strategies, through an industry PhD collaboration with Saab Australia.

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

Author order: students alphabetical, followed by supervisors alphabetical; also to be presented in the ICLR 2026 Workshop on AI for Mechanism Design and Strategic Decision Making.

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

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

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

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

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

Vishesh Purnananda, Benjamin John Wruck, Mingyu Guo

Can Dependencies Induced by LLM-Agent Workflows Be Trusted?

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

Adaptive Wizard for Removing Cross-Tier Misconfigurations in Active Directory

Huy Quang Ngo, Mingyu Guo, Hung X. Nguyen

An Interpretable Automated Mechanism Design Framework with Large Language Models

Jiayuan Liu, Mingyu Guo, Vincent Conitzer

Symmetry-Breaking Augmentations for Ad Hoc Teamwork

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

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

Tracking top-k structural hole spanners in dynamic networks

Diksha Goel, Hong Shen, Hui Tian, Mingyu Guo

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

Mingyu Guo

Limited Query Graph Connectivity Test

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

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

Huy Quang Ngo, Mingyu Guo, Hung X. Nguyen

Mechanism design for public projects via three machine learning based approaches

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

Optimizing Cyber Defense in Dynamic Active Directories Through Reinforcement Learning

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

Optimizing Cyber Response Time on Temporal Active Directory Networks Using Decoys

Huy Quang Ngo, Mingyu Guo, Hung X. Nguyen

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

Sangwon Hyun, Mingyu Guo, Muhammad Ali Babar

Evolutionary Multi-objective Diversity Optimization

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

Disentangling Specificity for Abstractive Multi-document Summarization

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

Hardening Active Directory Graphs via Evolutionary Diversity Optimization-based Policies

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

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

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

Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs

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

Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint

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

Multi-document Summarization via Deep Learning Techniques: A Survey

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

A Scalable Double Oracle Algorithm for Hardening Large Active Directory Systems

Yumeng Zhang, Max Ward, Mingyu Guo, Hung Nguyen

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

Huy Quang Ngo, Mingyu Guo, Hung Nguyen

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

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

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

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

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

Gini index based initial coin offering mechanism

Mingyu Guo, Zhenghui Wang, Yuko Sakurai

Niching-based evolutionary diversity optimization for the traveling salesperson problem

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

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

Mitigating Fairness and Efficiency Tradeoff in Vehicle-Dispatch Problems

Masato Ota, Yuko Sakurai, Mingyu Guo, Itsuki Noda

Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization

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

Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural Networks

Diksha Goel, Hong Shen, Hui Tian, Mingyu Guo

Analysis of Evolutionary Diversity Optimization for Permutation Problems

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

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

Mechanism Design for Public Projects via Neural Networks

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

Revenue maximizing markets for zero-day exploits

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

An asymptotically optimal VCG redistribution mechanism for the public project problem

Mingyu Guo

Analysis of evolutionary diversity optimisation for permutation problems

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

Maintenance of Structural Hole Spanners in Dynamic Networks

Diksha Goel, Hong Shen, Hui Tian, Mingyu Guo

Public Project with Minimum Expected Release Delay

Guanhua Wang, Mingyu Guo

Redistribution in Public Project Problems via Neural Networks

Guanhua Wang, Wuli Zuo, Mingyu Guo

An Asymptotically Optimal VCG Redistribution Mechanism for the Public Project Problem

Mingyu Guo

Deep False-Name-Proof Auction Mechanisms

Yuko Sakurai, Satoshi Oyama, Mingyu Guo, Makoto Yokoo

Game Theoretical Modelling of Network/Cybersecurity

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

Cost Sharing Security Information with Minimal Release Delay

Mingyu Guo, Yong Yang, Muhammad Ali Babar

Understanding the Heterogeneity of Contributors in Bug Bounty Programs

Hideaki Hata, Mingyu Guo, Muhammad Ali Babar

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

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

Utility design for two-player normal-form games

Koji Kitagawa, Mingyu Guo, Kiminao Kogiso, Hideaki Hata

Towards understanding an open-source bounty: Analysis of Bountysource

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

Individually Rational Strategy-Proof Social Choice with Exogenous Indifference Sets

Mingyu Guo, Yuko Sakurai, Taiki Todo, Makoto Yokoo

Revenue Maximizing Markets for Zero-Day Exploits

Mingyu Guo, Hideaki Hata, Muhammad Ali Babar

Competitive VCG Redistribution Mechanism for Public Project Problem

Mingyu Guo

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

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

Parametric Mechanism Design via Quantifier Elimination

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

Better redistribution with inefficient allocation in multi-unit auctions

Mingyu Guo, Vincent Conitzer

Increasing VCG Revenue by Decreasing the Quality of Items

Mingyu Guo, Argyrios Deligkas, Rahul Savani

Optimal false-name-proof single-item redistribution mechanisms

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

Revenue Maximization via Hiding Item Attributes

Mingyu Guo, Argyrios Deligkas

Undominated Groves Mechanisms

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

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

Mingyu Guo

Redistribution of VCG Payments in Public Project Problems

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

VCG Redistribution with Gross Substitutes

Mingyu Guo

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

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

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

Mingyu Guo

Optimal-in-expectation redistribution mechanisms

Mingyu Guo, Vincent Conitzer

Computationally Feasible Automated Mechanism Design: General Approach and Case Studies

Mingyu Guo, Vincent Conitzer

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

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

Mingyu Guo, Vincent Conitzer

False-name-proofness with bid withdrawal

Mingyu Guo, Vincent Conitzer

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

Mingyu Guo, Vincent Conitzer

Combinatorial prediction markets for event hierarchies

Mingyu Guo, David M. Pennock

Prediction Mechanisms That Do Not Incentivize Undesirable Actions

Peng Shi, Vincent Conitzer, Mingyu Guo

Competitive Repeated Allocation without Payments

Mingyu Guo, Vincent Conitzer, Daniel M. Reeves

Undominated VCG redistribution mechanisms

Mingyu Guo, Vincent Conitzer

Optimal-in-expectation redistribution mechanisms

Mingyu Guo, Vincent Conitzer

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

Mingyu Guo, Vincent Conitzer

This conference is now called the ACM Conference on Economics and Computation.

Welfare Undominated Groves Mechanisms

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

Worst-case optimal redistribution of VCG payments

Mingyu Guo, Vincent Conitzer

This conference is now called the ACM Conference on Economics and Computation.