I am a master's student pursuing a degree in Economics and Computation at Duke University, where I am working with Vincent Conitzer. I received my B.S. degree in Computer Science and Economics from Rensselaer Polytechnic Institute, where I was advised by Lirong Xia. My research focuses on issues at the intersection of economics and computation with application to AI. 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