1 citations · 2 across the 3 of their papers we have counts for
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NeuralFLoC: Neural Flow-Based Joint Registration and Clustering of Functional Data
Xinyang Xiong, Siyuan jiang, Pengcheng Zeng
Clustering functional data in the presence of phase variation is challenging, as temporal misalignment can obscure intrinsic shape differences and degrade clustering performance. M…
Semi-parametric Functional Classification via Path Signatures Logistic Regression with Adaptive Order Selection
Pengcheng Zeng, Siyuan Jiang
We propose Path Signatures Logistic Regression (PSLR), a semi-parametric framework for classifying vector-valued functional data with scalar covariates. Classical functional logist…
scICML: Information-theoretic Co-clustering-based Multi-view Learning for the Integrative Analysis of Single-cell Multi-omics data
Pengcheng Zeng, Zhixiang Lin
Modern high-throughput sequencing technologies have enabled us to profile multiple molecular modalities from the same single cell, providing unprecedented opportunities to assay ce…
Elastic Coupled Co-clustering for Single-Cell Genomic Data
Pengcheng Zeng, Zhixiang Lin
The recent advances in single-cell technologies have enabled us to profile genomic features at unprecedented resolution and datasets from multiple domains are available, including…