I am a master's student at Duke University pursuing a degree in Economics and Computation. I received my B.S. degree in Computer Science and Economics from Rensselaer Polytechnic Institute, being advised by Lirong Xia. My research focuses on issues at the intersection of economics and computation. My research is/was in part funded by IBM Research's AI Horizons Network.
Haoming Li, Sujoy Sikdar, Rohit Vaish, Junming Wang, Lirong Xia and Chaonan Ye. 2019. Minimizing Time-to-Rank: A Learning and Recommendation Approach. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 1408-1414. Macau, China. [arXiv]
Zhibing Zhao, Haoming Li, Junming Wang, Jeffrey Kephart, Nicholas Mattei, Hui Su and Lirong Xia. 2018. A Cost-Effective Framework for Preference Elicitation and Aggregation. In Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence (UAI-18), 446-456. Monterey, CA, USA. [arXiv] [Poster]
Workflow Co-Chair, AAAI-20
Honors & Awards
Duke Economics Master's Scholar Award, 2018-2020
RPI Dean's Honor List, 2014-2018