I’m a 3rd year PhD student in the computer science department of Purdue University. I’m fortunate to be advised by Prof. David F. Gleich. Prior to coming to Purdue, I obtained my Master of Science degree in computer science from Georgia Institute of Technology, where I worked with Prof. Richard Peng and Prof. Diyi Yang. Before that I got my bachelor’s degree from Dalian University of Technology.

I’m broadly interested in graph algorithms, network science, matrix computations.

When not doing research, I enjoy rock climbing, running and hiking. I used to do some competitive programming(codeforces).

Publications

\(^*\) stands for equal contribution and italics refers to alphabetical order.

Preprints

A Cheeger Inequality for Size-Specific Conductance.
Yufan Huang, David F. Gleich.
[paper]

Densest Subhypergraph: Negative Supermodular Functions and Strongly Localized Methods.
Yufan Huang, David F. Gleich, and Nate Veldt.
Proceedings of the ACM Web Conference, WWW 2024. [paper | code| video]
Theoretical bounds on the network community profile from low-rank semi-definite programming.
Yufan Huang, C. Seshadhri, and David F. Gleich.
Proceedings of the 40th International Conference on Machine Learning, ICML 2023.
[paper | code | video]
A flexible pagerank-based graph embedding framework closely related to spectral eigenvector embeddings.
Disha Shur\(^*\), Yufan Huang\(^*\), and David F. Gleich.
Journal of Applied and Computational Topology, 2023.
[paper | code]
Hardness of Graph-Structured Algebraic and Symbolic Problems.
Jingbang Chen, Yu Gao, Yufan Huang, Richard Peng, and Runze Wang.
Algorithms and Data Structures Symposium, WADS 2023.
[paper]
Continual Learning for Text Classification with Information Disentanglement Based Regularization.
Yufan Huang\(^*\), Yanzhe Zhang\(^*\), Jiaao Chen, Xuezhi Wang, Diyi Yang. North American Chapter of the Association for Computational Linguistics, NAACL 2021.
[paper | code | video]