3 papers
quant-ph2026
Towards Exponential Quantum Improvements in Solving Cardinality-Constrained Binary Optimization
Haomu Yuan, Hanqing Wu, Kuan-Cheng Chen +2
Cardinality-constrained binary optimization is a fundamental computational primitive with broad applications in machine learning, finance, and scientific computing. In this work, w…
stat.ME2026
Scalable Ultra-High-Dimensional Quantile Regression with Genomic Applications
Hanqing Wu, Jonas Wallin, Iuliana Ionita-Laza
Modern datasets arising from social media, genomics, and biomedical informatics are often heterogeneous and (ultra) high-dimensional, creating substantial challenges for convention…
math.NA2025
Dyadic Factorization and Efficient Inversion of Sparse Positive Definite Matrices
MichaŠKos, Krzysztof Podgórski, Hanqing Wu
In inverting large sparse matrices, the key difficulty lies in effectively exploiting sparsity during the inversion process. One well-established strategy is the nested dissection,…