This page lists all the publications involving at least one member in our lab as a co-author. Please visit an individual researcher’s webpage for his or her achievements.

Journal Publications

  1. Anisse Ismaili, Naoto Hamada, Yuzhe Zhang, Takamasa Suzuki, and Makoto Yokoo. Weighted Matching Markets with Budget Constraints. Journal of Artificial Intelligence Research (JAIR) 65: 393-421, 2019.
  2. Xiaojuan Liao, Miyuki Koshimura, Kazuki Nomoto, Suguru Ueda, Yuko Sakurai, and Makoto Yokoo. Improved WPM encoding for coalition structure generation under MC-nets. Constraints 24(1): 25-55, 2019.
  3. Etsushi Fujita, Julien Lesca, Akihisa Sonoda, Taiki Todo, and Makoto Yokoo. A Complexity Approach for Core-Selecting Exchange under Conditionally Lexicographic Preferences. Journal of Artificial Intelligence Research (JAIR) 63: 515-555, 2018.
  4. Suguru Ueda, Atsushi Iwasaki, Vincent Conitzer, Naoki Ohta, Yuko Sakurai, and Makoto Yokoo. Coalition structure generation in cooperative games with compact representations. Autonomous Agents and Multi-Agent Systems (JAAMAS) 32(4): 503-533, 2018.
  5. Takamasa Ihara, Shunsuke Tsuruta, Taiki Todo, Yuko Sakurai, and Makoto Yokoo. Strategy-proof Cake Cutting Mechanisms for All-or-nothing Utility. Fundamenta Informaticae 158 (1-3): 41-61, 2018.
  6. Fuhito Kojima, Akihisa Tamura, and Makoto Yokoo. Designing matching mechanisms under constraints: An approach from discrete convex analysis. Journal of Economic Theory (JET) 176: 803-833, 2018.
  7. Naoto Hamada, Chia-Ling Hsu, Ryoji Kurata, Takamasa Suzuki, Suguru Ueda, and Makoto Yokoo. Strategy-proof School Choice Mechanisms with Minimum Quotas and Initial Endowments. Artificial Intelligence (AIJ) 246: 47-71, 2017.
  8. Ryoji Kurata, Naoto Hamada, Atsushi Iwasaki, and Makoto Yokoo. Controlled School Choice with Soft Bounds and Overlapping Types. Journal of Artificial Intelligence Research (JAIR) 58: 153-184, 2017.
  9. Masahiro Goto, Fuhito Kojima, Ryoji Kurata, Akihisa Tamura, and Makoto Yokoo. Designing Matching Mechanisms under General Distributional Constraints. American Economic Journal: Microeconomics (AEJ) 9.2: 226-262, 2017.

Conference Proceedings

  1. Takehiro Kawasaki, Nathanaël Barrot, Seiji Takanashi, Taiki Todo, and Makoto Yokoo. Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social Network. In Proceedings of the 34rd AAAI Conference on Artificial Intelligence (AAAI-20), 2020.
  2. Atsushi Iwasaki, Tadashi Sekiguchi, Shun Yamamoto, and Makoto Yokoo. Repeated Multimarket Contact with Private Monitoring: A Belief-Free Approach. In Proceedings of the 34rd AAAI Conference on Artificial Intelligence (AAAI-20), 2020.
  3. Nodoka Okada, Taiki Todo, and Makoto Yokoo. SAT-Based Automated Mechanism Design for False-Name-Proof Facility Location. In Proceedings of the 22nd International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-19), 321-337, 2019.
  4. Emi Watanabe, Miyuki Koshimura, Yuko Sakurai, and Makoto Yokoo. Solving Coalition Structure Generation Problems over Weighted Graph. In Proceedings of the 22nd International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-19), 338-353, 2019.
  5. Bin Li, Dong Hao, Dengji Zhao, and Makoto Yokoo. Diffusion and Auction on Graphs. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 435-441, 2019.
  6. Ayumi Igarashi, Kazunori Ota, Yuko Sakurai, and Makoto Yokoo. Robustness against Agent Failure in Hedonic Games. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 364-370, 2019.
  7. Nathanaël Barrot and Makoto Yokoo. Stable and Envy-free Partitions in Hedonic Games. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 67-73, 2019.
  8. Ilan Nehama, Taiki Todo, and Makoto Yokoo. Manipulations-Resistant Facility Location Mechanisms for ZV-Line Graphs. In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19), 1452-1460, 2019.
  9. Atena M. Tabakhi, William Yeoh, and Makoto Yokoo. Parameterized Heuristics for Incomplete Weighted CSPs with Elicitation Costs. In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19), 476-484, 2019.
  10. Nathanaël Barrot, Kazunori Ota, Yuko Sakurai, and Makoto Yokoo. Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), 1756-1763, 2019.
  11. Kota Shigedomi, Tadashi Sekiguchi, Atsushi Iwasaki, and Makoto Yokoo. Repeated Triangular Trade: Sustaining Circular Cooperation with Observation Errors. In Proceedings of the 21st International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-18), 242-257, 2018.
  12. Anisse Ismaili, Tomoaki Yamaguchi, and Makoto Yokoo. Student-Project-Resource Allocation: Complexity of the Symmetric Case. In Proceedings of the 21st International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-18), 226-241, 2018.
  13. Yuzhe Zhang, Kentaro Yahiro, Nathanaël Barrot, and Makoto Yokoo. Strategyproof and Fair Matching Mechanism for Union of Symmetric M-convex Constraints. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-18), 590-596, 2018.
  14. Julien Lesca and Taiki Todo. Service Exchange Problem. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-18), 354-360, 2018.
  15. Takamasa Suzuki, Akihisa Tamura, and Makoto Yokoo. Efficient allocation mechanism with endowments and distributional constraints. In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-18), 50-58, 2018.
  16. Kentaro Yahiro, Yuzhe Zhang, Nathanaël Barrot, and Makoto Yokoo. Strategyproof and Fair Matching Mechanism for Ratio Constraints. In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-18), 59-67, 2018.
  17. Yuho Wada, Tomohiro Ono, Taiki Todo, and Makoto Yokoo. Facility Location with Variable and Dynamic Populations. In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-18), 336-344, 2018.
  18. Chi Kit Ken Fong, Minming Li, Pinyan Lu, Taiki Todo, and Makoto Yokoo. Facility Location Games with Fractional Preferences. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), 1039-1046, 2018.
  19. Tomohiro Ono, Taiki Todo, and Makoto Yokoo. Rename and False-Name Manipulations in Discrete Facility Location with Optional Preferences. In Proceedings of the 20th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-17), 163-179, 2017.
  20. Aolong Zha, Kazuki Nomoto, Suguru Ueda, Miyuki Koshimura, Yuko Sakurai, and Makoto Yokoo. Coalition Structure Generation for Partition Function Games by Utilizing a Concise Graphical Representation, In Proceedings of the 20th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-17), 143-159, 2017.
  21. Kazunori Ohta, Nathanaël Barrot, Anisse Ismaili, Yuko Sakurai, and Makoto Yokoo. Core Stability in Hedonic Games among Friends and Enemies: Impact of Neutrals. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI-17), 359-365, 2017.

Others