Haoming's Headshot

Haoming Li 

PhD Student
Department of Computer Science
University of Southern California

[Email] [Resume] [LinkedIn]

I am a PhD student in Computer Science at USC, advised by Bistra Dilkina. I am affiliated to the Center for AI in Society and the AI Institute for Advances in Optimization. I received my B.S. degree from RPI and M.S. from Duke, where I worked with Vincent Conitzer and Lirong Xia. My research focuses on issues at the intersection of machine learning and combinatorial optimization.


Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina. 2023. Moccasin: Efficient Tensor Rematerialization for Neural Networks. In Proceedings of the 40th International Conference on Machine Learning (ICML 2023), 1826-1837. [arXiv] [Code]

Anilesh K. Krishnaswamy, Haoming Li, David Rein, Hanrui Zhang, Vincent Conitzer. 2021. Classication with Strategically Withheld Data. In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), 5514-5522. [arXiv] [Poster] [Code]

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 2019), 1408-1414. [arXiv] [Code]

Zhibing Zhao, Haoming Li, Junming Wang, Jeffrey O. 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 2018), 446-456. [arXiv] [Poster] [Code]


Professional Services
Workflow Co-chair, AAAI 2020

TA, AI for Sustainable Development at USC, Fall 2021
TA, undergrad algorithms at Duke, Spring 2019, Fall 2019 and Spring 2020
UG TA, undergrad algorithms at RPI, Fall 2016, Spring 2017 and Fall 2017

About Me
I am from Pingtang, Guizhou, PRC.
I spend my free time on Discogs and The Great Courses.