2022 |
Do, A. V., Guo, M., Neumann, A., & Neumann, F. (2022). Niching-based evolutionary diversity optimization for the traveling salesperson problem. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'22) (pp. 684-693). virtual online: Association for Computing Machinery. DOI Scopus1 |
2022 |
Guo, M., Li, J., Neumann, A., Neumann, F., & Hung, N. (2022). Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-2022) Vol. 36 (pp. 9360-9367). virtual online: AAAI Press. DOI |
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. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'22) (pp. 1191-1199). New York, NY: Association for Computing Machinery. DOI |
2022 |
Dinh, N. T., Pourmousavi, S. A., Karimi-Arpanahi, S., Kumar, Y. P. S., Guo, M., Abbott, D., & Liisberg, J. A. R. (2022). Optimal sizing and scheduling of community battery storage within a local market. In e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems (pp. 34-46). ACM. DOI |
2022 |
Ota, M., Sakurai, Y., Guo, M., & Noda, I. (2022). Mitigating Fairness and Efficiency Tradeoff in Vehicle-Dispatch Problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13616 LNAI (pp. 307-319). Springer International Publishing. DOI |
2022 |
Goel, D., Shen, H., Tian, H., & Guo, M. (2022). Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural Networks. In Proceedings - 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2022 (pp. 64-71). IEEE. DOI |
2021 |
Wang, G., Zuo, W., & Guo, M. (2021). Redistribution in Public Project Problems via Neural Networks. In WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (pp. 406-413). New York, NY, United States: Association for Computing Machinery. DOI |
2021 |
Do, A. V., Guo, M., Neumann, A., & Neumann, F. (2021). Analysis of Evolutionary Diversity Optimisation for Permutation Problems. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2021) Vol. abs/2102.11469 (pp. 574-582). New York, NY, United States: Association for Computing Machinery. DOI Scopus12 |
2021 |
Wang, G., Guo, R., Sakurai, Y., Babar, M. A., & Guo, M. (2021). Mechanism design for public projects via neural networks. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS Vol. 3 (pp. 1380-1388). Richland, SC, United States: International Foundation for Autonomous Agents and Multiagent Systems. Scopus3 |
2021 |
Goel, D., Shen, H., Tian, H., & Guo, M. (2021). Maintenance of Structural Hole Spanners in Dynamic Networks. In 2021 IEEE 46th Conference on Local Computer Networks (LCN) Vol. 2021-October (pp. 339-342). online: IEEE. DOI Scopus1 |
2021 |
Do, V. A., Guo, M., Neumann, A., & Neumann, F. (2021). Analysis of evolutionary diversity optimisation for permutation problems. In F. Chicano, & K. Krawiec (Eds.), Proceedings of the 2021 Genetic and Evolutionary Computation Conference (GECCO) (pp. 574-582). online: ACM. DOI |
2021 |
Wang, G., & Guo, M. (2021). Public Project with Minimum Expected Release Delay. In 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 Vol. 13031 LNAI (pp. 101-112). Switzerland: Springer International Publishing. DOI |
2019 |
Guo, M. (2019). An asymptotically optimal VCG redistribution mechanism for the public project problem. In IJCAI International Joint Conference on Artificial Intelligence Vol. 2019-August (pp. 315-321). online: IJCAI Organization. DOI Scopus2 |
2019 |
Sakurai, Y., Oyama, S., Guo, M., & Yokoo, M. (2019). Deep False-Name-Proof Auction Mechanisms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11873 LNAI (pp. 594-601). Switzerland: Springer. DOI Scopus1 |
2018 |
Kitagawa, K., Guo, M., Kogiso, K., & Hata, H. (2018). Utility design for two-player normal-form games. In 2017 Asian Control Conference, ASCC 2017 Vol. 2018-January (pp. 2077-2082). online: IEEE. DOI |
2018 |
Guo, M., Yang, Y., & Babar, M. A. (2018). Cost sharing security information with minimal release delay. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11224 LNAI (pp. 177-193). Switzerland: Springer Nature. DOI Scopus2 |
2017 |
Kanda, T., Guo, M., Hata, H., & Matsumoto, K. (2017). Towards understanding an open-source bounty: Analysis of Bountysource. In SANER 2017 - 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (pp. 577-578). Klagenfurt, Austria: Institute of Electrical and Electronics Engineers (IEEE). DOI Scopus6 |
2017 |
Guo, M., & Shen, H. (2017). Speed up Automated Mechanism Design by Sampling Worst-Case Profiles: An Application to Competitive VCG Redistribution Mechanism for Public Project Problem. In Proceedings of the 20th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2017) as published in Lecture Notes in Computer Science Vol. 10621 (pp. 127-142). Switzerland: Springer. DOI Scopus3 WoS3 |
2017 |
Guo, M., Hata, H., & Babar, A. (2017). Optimizing Affine Maximizer Auctions via Linear Programming: An Application to Revenue Maximizing Mechanism Design for Zero-Day Exploits Markets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10621 LNAI (pp. 280-292). Switzerland: Springer Nature. DOI Scopus2 |
2017 |
Hata, H., Guo, M., & Babar, M. (2017). Understanding the Heterogeneity of Contributors in Bug Bounty Programs. In International Symposium on Empirical Software Engineering and Measurement Vol. 2017-November (pp. 223-228). Toronto, CANADA: IEEE. DOI Scopus19 WoS15 |
2016 |
Guo, M. (2016). Competitive VCG redistribution mechanism for public project problem. In Proceedings of the 19th International Conference on Principles and Practice of Multi-Agent Systems: PRIMA 2016 Vol. 9862 LNCS (pp. 279-294). Phuket, Thailand: Springer International Publishing. DOI Scopus4 |
2016 |
Guo, M., Sakurai, Y., Todo, T., & Yokoo, M. (2016). Individually rational strategy-proof social choice with exogenous indifference sets. In Proceeding of the 19th International Conference International Conference on Principles and Practice of Multi-Agent Systems: PRIMA 2016 Vol. 9862 LNCS (pp. 181-196). Phuket, Thailand: Springer International Publishing. DOI |
2016 |
Guo, M., Hata, H., & Babar, A. (2016). Revenue maximizing markets for zero-day exploits. In Proceedings of the 19th International Conference on Principles and Practice of Multi-Agent Systems: PRIMA 2016 Vol. 9862 LNCS (pp. 247-260). Phuket, Thailand: Springer International Publishing. DOI Scopus5 |
2015 |
Guo, M., Shen, H., Todo, T., Sakurai, Y., & Yokoo, M. (2015). Social decision with minimal efficiency loss: An automated mechanism design approach. In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems Vol. 1 (pp. 347-355). Istanbul, Turkey: ACM. Scopus2 WoS2 |
2015 |
Iwasaki, A., Fujita, E., Todo, T., Iwane, H., Anai, H., Guo, M., & Yokoo, M. (2015). Parametric mechanism design via quantifier elimination. In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems Vol. 3 (pp. 1885-1886). Istanbul, Turkey: IFAAMS. |
2014 |
Guo, M., Deligkas, A., & Savani, R. (2014). Increasing VCG revenue by decreasing the quality of items. In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence Vol. 1 (pp. 705-711). online: AAAI. Scopus2 |
2014 |
Tsuruta, S., Oka, M., Todo, T., Kawasaki, Y., Guo, M., Sakurai, Y., & Yokoo, M. (2014). Optimal false-name-proof single-item redistribution mechanisms. In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems Vol. 1 (pp. 221-228). Paris, France: International Foundation for Autonomous Agents and Multiagent Systems. Scopus3 |
2013 |
Guo, M., & Deligkas, A. (2013). Revenue maximization via hiding item attributes. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI 13) (pp. 157-163). California; USA: AAAI Press. Scopus20 |
2012 |
Guo, M. (2012). Worst-case optimal redistribution of VCG payments in heterogeneous-item auctions with unit demand. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 (pp. 745-752). UK: International Foundation for Autonomous Agents and Multiagent Systems. |
2012 |
Naroditskiy, V., Guo, M., Dufton, L., Polukarov, M., & Jennings, N. (2012). Redistribution of VCG payments in public project problems. In P. Goldberg (Ed.), Internet and Network Economics: Proceedings of 8th International Workshop, WINE 2012, Liverpool, UK, December 10-12, 2012. Vol. 7695 LNCS (pp. 323-336). UK: Springer. DOI Scopus9 |
2012 |
Guo, M. (2012). Worst-case optimal redistribution of VCG payments in heterogeneous-item auctions with unit demand. In 11th International Conference on Autonomous Agents and Multiagent Systems 2012, AAMAS 2012: Innovative Applications Track Vol. 2 (pp. 1016-1023). Scopus7 |
2011 |
Guo, M., Naroditskiy, V., Conitzer, V., Greenwald, A., & Jennings, N. (2011). Budget-balanced and nearly efficient randomized mechanisms: public goods and beyond. In N. Chen, E. Elkind, & E. Koutsoupias (Eds.), Internet and Network Economics: Proceedings of 7th International Workshop, WINE 2011, Singapore, December 11-14, 2011 Vol. 7090 LNCS (pp. 158-169). UK: Springer. DOI Scopus14 |
2011 |
Guo, M. (2011). VCG redistribution with gross substitutes. In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence Vol. 1 (pp. 675-680). Menlo Park, California: AAAI Press. Scopus9 |
2010 |
Guo, M., & Conitzer, V. (2010). False-name proofness with Bid Withdrawal. In W. van der Hoek, G. Kaminka, Y. Lesperance, M. Luck, & S. Sen (Eds.), AAMAS2010 Toronto - The 9th International Conference on Autonomous Agents and Multiagent Systems May 10-14, 2010, Toronto Canada Conference Proceedings Volume1 (pp. 1475-1476). USA: IFAAMAS. |
2010 |
Iwasaki, A., Conitzer, V., Omori, Y., Sakurai, Y., Todo, T., Guo, M., & Yokoo, M. (2010). Worst-case efficiency ratio in false-name-proof combinatorial auction mechanisms. In W. van der Hoek, G. Kaminka, Y. Lesperance, M. Luck, & S. Sen (Eds.), AAMAS 2010 - The 9th International Conference on Autonomous Agents and Multiagent Systems May 10-14, 2010, Toronto Canada, Conference Proceedings, vol. 1 Vol. 1 (pp. 633-640). USA: International Foundation for Autonomous Agents and Multiagent Systems. Scopus28 |
2010 |
Guo, M., & Conitzer, V. (2010). Strategy-proof allocation of multiple items between two agents without payments or priors. In W. van der Hoek, G. Kaminka, Y. Lesperance, M. Luck, & S. Sen (Eds.), AAMAS 2010 - The 9th International Conference on Autonomous Agents and Multiagent Systems May 10-14, 2010, Toronto Canada, Conference Proceedings, vol. 1 Vol. 2 (pp. 881-888). USA: International Foundation for Autonomous Agents and Multiagent Systems. Scopus39 |
2010 |
Guo, M., & Conitzer, V. (2010). Computationally feasible automated mechanism design: general approach and case studies. In Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10) Vol. 3 (pp. 1676-1679). California; USA: AAAI. Scopus25 |
2009 |
Guo, M., & Pennock, D. (2009). Combinatorial prediction markets for event hierarchies. In AAMAS '09 8th International Conference on Autonomous Agents and Multi Agent Systems Budapest, Hungary, May 10 - 15, 2009 (pp. 201-208). South Carolina, USA: International Foundation for Autonomous Agents and Multiagent Systems. |
2009 |
Shi, P., Conitzer, V., & Guo, M. (2009). Prediction mechanisms that do not incentivize undesirable actions. In Stefano Leonardi (Ed.), Internet and Network Economics: 5th International Workshop, WINE 2009, Rome, Italy, December 14-18, 2009, Proceedings Vol. 5929 LNCS (pp. 89-100). Berlin, Germany: Springer. DOI Scopus19 |
2009 |
Guo, M., Conitzer, V., & Reeves, D. (2009). Competitive repeated allocation without payments. In Stefano Leonardi (Ed.), Internet and Network EconomicsL: 5th International Workshop, WINE 2009, Rome, Italy, December 14-18, 2009, Proceedings (pp. 244-255). Berlin, Germany: Springer. DOI |
2009 |
Guo, M., & Pennock, D. M. (2009). Markets for event hierarchies combinatorial prediction. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS Vol. 1 (pp. 173-180). |
2009 |
Guo, M., Conitzer, V., & Reeves, D. M. (2009). Competitive repeated allocation without payments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5929 LNCS (pp. 244-255). Springer Berlin Heidelberg. DOI Scopus21 |
2008 |
Guo, M., & Conitzer, V. (2008). Undominated VCG redistribution mechanisms. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS Vol. 2 (pp. 1021-1028). Scopus25 |
2008 |
Guo, M., & Conitzer, V. (2008). Optimal-in-expectation redistribution mechanisms. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS Vol. 2 (pp. 1029-1036). Scopus19 |
2008 |
Guo, M., & Conitzer, V. (2008). Optical-in-Expectation redistribution mechanisms. In L. Padgham, D. Parkes, J. Muller, & S. Parsons (Eds.), The Seventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS-08), Estoril, Portugal - Proceedings Volume 1 (pp. 1047-1054). Online: Autonomous Agents and Multiagent Systems. |
2008 |
Guo, M., & Conitzer, V. (2008). Undominated VCG redistribution mechanisms. In L. Padgham, D. Parkes, J. Muller, & S. Parsons (Eds.), The Seventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS-08), Estoril, Portugal - Proceedings Volume 1 (pp. 1039-1046). Online: Autonomous Agents and Multiagent Systems. |
2008 |
Guo, M., & Conitzer, V. (2008). Better redistribution with inefficient allocation in multi-unit auctions with unit demand. In EC '08 Proceedings of the 9th ACM Conference on Electronic Commerce (pp. 210-219). USA: Association for Computing Machinery. DOI Scopus23 |
2008 |
Apt, K., Conitzer, V., Guo, M., & Markakis, E. (2008). Welfare undominated Groves mechanisms. In C. Papadimitriou, & S. Zhang (Eds.), Internet and Network Economics: 4th InternationalWorkshop, WINE 2008, Shanghai, China, December 17-20, 2008. Proceedings Vol. 5385 LNCS (pp. 426-437). Berlin, Germany: Springer. DOI Scopus17 |
2007 |
Guo, M., & Conitzer, V. (2007). Worst-case optimal redistribution of VCG payments. In EC'07 - Proceedings of the Eighth Annual Conference on Electronic Commerce (pp. 30-39). ACM. DOI Scopus32 |