2 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…