136 citations · 239 across the 24 of their papers we have counts for
Showing 2023 · stat.MEShow all
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stat.ME2023
Mitigating dimensionality effects with robust graph constructions for testing
Yejiong Zhu, Hao Chen
Dimensionality effects pose major challenges in high-dimensional and non-Euclidean data analysis. Graph-based two-sample tests and change-point detection are particularly attractiv…
stat.ME2023
Rank-Transformed Dissimilarity Profiles for High-Dimensional Classification
Xiangbo Mo, Hao Chen
Despite advances in representation learning, high-dimensional classification remains challenging in low-sample-size regimes, where the dominant signal may vary across applications…
stat.ME2023
High-Dimensional Clustering via Nearest-Neighbor Asymmetry
Hao Chen, Xiancheng Lin
High-dimensional clustering often relies on geometric or local-similarity structure, but the dominant separation between groups may not always be location-based. Differences in dis…