Zhuohan Yu — accepted AI-conference papers

2023

Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics

Yue Cheng, Yanchi Su, Zhuohan Yu, Yanchun Liang, Ka-Chun Wong, Xiangtao Li

AAAI 2023technical

Cell clustering is a critical step in analyzing single-cell RNA sequencing (scRNA-seq) data, which allows us to characterize the cellular heterogeneity of transcriptional profiling at the single-cell level. Single-cell deep embedded representation models have recently become popular since they can l…

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2022

ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations

Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li

AAAI 2022technical

Single-cell RNA sequencing (scRNA-seq) provides high-throughput information about the genome-wide gene expression levels at the single-cell resolution, bringing a precise understanding on the transcriptome of individual cells. Unfortunately, the rapidly growing scRNA-seq data and the prevalence of d…

Cited by 74 Source ↗PDF ↗Scholar ↗