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, including learning from data, multi-agent systems, decision-making, social choice theory, game theory, and mechanism design. My research is/was in part funded by IBM Research's AI Horizons Network.
Sujoy Sikdar, Rohit Vaish, Haoming Li, Junming Wang, Lirong Xia and Chaonan Ye. Minimizing Time to Rank by Sorting: A Learning and Recommendation Approach. Working paper.
Zhibing Zhao, Haoming Li, Junming Wang, Jeffrey Kephart, Nicholas Mattei, Hui Su and Lirong Xia. A Cost-Effective Framework for Preference Elicitation and Aggregation. In Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence (UAI-2018), Monterey, California, USA, 2018. [arXiv] [Poster]
Haoming Li, Lirong Xia and Zhibing Zhao. Eliciting Preferences By Comparing Candidates. Presented at the 6th IBM Research Cognitive Colloquium, Yorktown Heights, New York, USA, 2017. [Poster] [Youtube]
Course Mentor for CS2300 (undergraduate algorithms) at RPI, Fall 2016, Spring 2017 and Fall 2017
Duke Economics Master's Scholar Award, 2018-2020
RPI Dean's Honor List, 2014-2018