Publications
Publications
Working and submitted papers
Yongchun Li (2025). Strong Formulations and Algorithms for Regularized A-Optimal Design. [preprint]
Yongchun Li (2024). The Augmented Factorization Bound for Maximum-Entropy Sampling. [preprint]
Yongchun Li, Weijun Xie. (2024). On the Partial Convexification of the Low-Rank Spectral Optimization: Rank Bounds and Algorithms. Submitted. [preprint]
ARC (Algorithms & Randomness Center)-ACO (Algorithms, Combinatorics, and Optimization) Fellowship Award, Georgia Tech, November 2022
Yongchun Li, Weijun Xie. (2022). On the Exactness of Dantzig-Wolfe Relaxation for Rank-Constrained Optimization Problems. Submitted. [preprint]
ARC (Algorithms & Randomness Center)-ACO (Algorithms, Combinatorics, and Optimization) Fellowship Award, Georgia Tech, November 2022
Yongchun Li, Weijun Xie. (2023). Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees. Operations Research. [preprint] [article]
First place, Poster Competition, INFORMS & HFES Student Chapters, Virginia Tech, October 2019
First place, Student Poster Competition, Mixed Integer Programming (MIP) Workshop, MIT, July 2019
Yongchun Li, Marcia Fampa, Jon Lee, Feng Qiu, Weijun Xie, Rui Yao. (2023). D-optimal Data Fusion: Exact and Approximation Algorithms. INFORMS Journal on Computing. [preprint] [article]
Finalist, Student Paper Competition, IISE Data Analytics & Information Systems Division, May 2023
Yongchun Li, Weijun Xie. (2023). Beyond Symmetry: Best Submatrix Selection for the Sparse Truncated SVD. Mathematical Programming. [preprint] [article]
Runner-up, Student Paper Competition, INFORMS Computing Society, August 2021
Yongchun Li, Weijun Xie. (2024). Exact and Approximation Algorithms for Sparse PCA. INFORMS Journal on Computing. [preprint] [article]
Finalist, Student Paper Competition, IISE Data Analytics & Information Systems Division, May 2021
First place, Student Paper Competition, INFORMS Data Mining Section, November 2020
First place, Poster Competition, INFORMS & HFES Student Chapters, Virginia Tech, November 2020
Yongchun Li (2024). The Augmented Factorization Bound for Maximum-Entropy Sampling. IPCO 2025. [preprint]
Yongchun Li, Santanu S. Dey, Weijun Xie (2024). On Sparse Canonical Correlation Analysis. NeurIPS 2024. [preprint]
Yongchun Li, Weijun Xie. (2024). On the Partial Convexification of the Low-Rank Spectral Optimization: Rank Bounds and Algorithms. IPCO 2024. [article]