16 citations · 44 across the 13 of their papers we have counts for
13 papers
Identification of Genetic Factors Associated with Corpus Callosum Morphology: Conditional Strong Independence Screening for Non-Euclidean Responses
Zhe Gao, Jin Zhu, Yue Hu +2
The corpus callosum, the largest white matter structure in the brain, plays a critical role in interhemispheric communication. Variations in its morphology are associated with vari…
Sparsity-Constraint Optimization via Splicing Iteration
Jin Zhu, Junxian Zhu, Zezhi Wang +3
Sparsity-constrained optimization underlies many problems in signal processing, statistics, and machine learning. State-of-the-art hard-thresholding (HT) algorithms rely on an appr…
skscope: Fast Sparsity-Constrained Optimization in Python
Zezhi Wang, Jin Zhu, Peng Chen +5
Applying iterative solvers on sparsity-constrained optimization (SCO) requires tedious mathematical deduction and careful programming/debugging that hinders these solvers' broad im…
Reconstruct Ising Model with Global Optimality via SLIDE
Xuanyu Chen, Jin Zhu, Junxian Zhu +2
The reconstruction of interaction networks between random events is a critical problem arising from statistical physics and politics, sociology, biology, psychology, and beyond. Th…
A Consistent and Scalable Algorithm for Best Subset Selection in Single Index Models
Borui Tang, Jin Zhu, Junxian Zhu +2
Analysis of high-dimensional data has led to increased interest in both single index models (SIMs) and the best-subset selection. SIMs provide an interpretable and flexible modelin…
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique
Junxian Zhu, Jin Zhu, Borui Tang +3
In high-dimensional generalized linear models, it is crucial to identify a sparse model that adequately accounts for response variation. Although the best subset section has been w…
Quantiles, Ranks and Signs in Metric Spaces
Hang Liu, Xueqin Wang, Jin Zhu +1
Non-Euclidean data become more prevalent in practice, necessitating the development of a framework for statistical inference analogous to that for Euclidean data. Quantile is one o…
abess: A Fast Best Subset Selection Library in Python and R
Jin Zhu, Xueqin Wang, Liyuan Hu +5
We introduce a new library named abess that implements a unified framework of best-subset selection for solving diverse machine learning problems, e.g., linear regression, classifi…
Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces
Xueqin Wang, Jin Zhu, Wenliang Pan +2
Distribution function is essential in statistical inference, and connected with samples to form a directed closed loop by the correspondence theorem in measure theory and the Glive…
A Splicing Approach to Best Subset of Groups Selection
Yanhang Zhang, Junxian Zhu, Jin Zhu +1
Best subset of groups selection (BSGS) is the process of selecting a small part of non-overlapping groups to achieve the best interpretability on the response variable. It has attr…
Computational analysis of pathological image enables interpretable prediction for microsatellite instability
Jin Zhu, Wangwei Wu, Yuting Zhang +4
Microsatellite instability (MSI) is associated with several tumor types and its status has become increasingly vital in guiding patient treatment decisions. However, in clinical pr…
A Fast and Effective Method of Macula Automatic Detection for Retina Images
Yukang Jiang, Jianying Pan, Yanhe Shen +5
Retina image processing is one of the crucial and popular topics of medical image processing. The macula fovea is responsible for sharp central vision, which is necessary for human…
Ball: An R package for detecting distribution difference and association in metric spaces
Jin Zhu, Wenliang Pan, Wei Zheng +1
The rapid development of modern technology facilitates the appearance of numerous unprecedented complex data which do not satisfy the axioms of Euclidean geometry, while most of th…