Haoming's Headshot

Haoming Li 

Master's Student
CS Dept. & Econ Dept.
Duke University

[Email] [Resume] [LinkedIn]

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.


M.S., Economics and Computation, Duke University, Expected 2020.

B.S., Computer Science and Economics, summa cum laude, Rensselaer Polytechnic Institute, 2018.


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]

Haoming Li, Lirong Xia and Zhibing Zhao. 2017. Eliciting Preferences By Comparing Candidates. Presented at the 6th IBM Research Cognitive Colloquium, Yorktown Heights, NY, USA. [Poster] [Youtube]


Professional Services
Workflow Co-chair, AAAI-20

Teaching Assistant, CPS 330 (undergraduate algorithms) at Duke, Spring 2019 and Fall 2019
Mentor, CSCI 2300 (undergraduate algorithms) at RPI, Fall 2016, Spring 2017 and Fall 2017

Industry Experience
Software Engineer Intern at Tencent, Palo Alto, CA, USA, Summer 2016
Software Engineer Intern at FiberHome, Nanjing, China, Summer 2015

Honors & Awards
Duke Economics Master's Scholar Award, 2018-2020
RPI Dean's Honor List, 2014-2018