Hongyao Ma

I am an assistant professor in the Decision Risk and Operations division at Columbia Business School. I was a Linde postdoctoral scholar at Caltech in June 2020, and a postdoctoral research scientist at Uber from 2019 to 2020.

I completed my PhD in Computer Science at Harvard University in 2019, advised by David C. Parkes. I received my MS in 2014 at Harvard, and BE in 2012 at Xi'an Jiaotong University, both in Electrical Engineering.

My research is broadly situated at the interface of computer science, economics, and operations. I am particularly interested in designing incentive-aligned systems to bring people together in useful ways, in the presence of uncertainty, self-interest, and autonomy.

Curriculum vitae (updated July 2020).

Publications

2020

Ma, H., Meir, R., Parkes D.C., & Wu-Yan, E., Penalty Bidding Mechanisms for Allocating Resources and Overcoming Present-Bias. In Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'20). pp. 807-815. [Publisher's Version][arXiv][pdf][AAMAS20][AAMAS20 Talk]

2019

Ma, H., Fang, F. & Parkes, D.C., Spatio-Temporal Pricing for Ridesharing Platforms. In Proceedings of the 2019 ACM Conference on Economics and Computation (EC'19). pp.583-583. [Publisher's Version][arXiv] [pdf][EC19][EC19 Talk]

Ma, H., Meir, R., Parkes D.C., & Zou, J., Contingent Payment Mechanisms for Resource Utilization. In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'19). pp. 422-430. Best paper award nomination. [Publisher's Version][arXiv] [pdf][AAMAS19]

Rheingans-Yoo, D., Kominers S.D., Ma, H. & Parkes, D.C., 2019. Ridesharing with Driver Location Preferences. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI’19). pp. 557-564. [Publisher's Version][arXiv][pdf]

2018

Ma, H., Meir, R. & Parkes, D.C., 2018. Social Choice with Non Quasi-linear Utilities. In Proceedings of the 2018 ACM Conference on Economics and Computation (EC'18). pp. 49-49. [Publisher's Version] [arXiv] [pdf] [EC18][EC18 Talk]

2017

Meir, R., Ma, H. & Robu, V., 2017. Contract Design for Energy Demand Response. In Proceedings of The 26th International Joint Conference on Artificial Intelligence (IJCAI'17). pp. 1202-1208. [Publisher's Version] [pdf]

Ma, H., Parkes, D.C. & Robu, V., 2017. Generalizing Demand Response Through Reward Bidding. In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'17). pp. 60-68. [Publisher's Version] [pdf]

2016

Ma, H., Robu, V., Li, N. & Parkes, D.C., 2016. Incentivizing Reliability in Demand-Side Response. In Proceedings of The 25th International Joint Conference on Artificial Intelligence (IJCAI'16). pp. 352-358. [Publisher's Version] [pdf]

Ma, H., Meir, R. & Parkes, D.C., 2016. Social Choice for Agents with General Utilities. In Proceedings of The 25th International Joint Conference on Artificial Intelligence (IJCAI'16). pp. 345-351. [Publisher's Version] [pdf]

Contact

hongyao.ma@columbia.edu

3022 Broadway, Uris Hall 423, New York, NY, 10027