136 citations · 239 across the 24 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
On the tightness of graph-based statistics
Lynna Chu, Hao Chen
We establish tightness of graph-based stochastic processes in the space with that allows for discontinuities of the first kind. The graph-based stochastic proces…