Qingyang Yin 尹清扬

Ph.D. Candidate in Computational Biology and Bioinformatics

Department of Quantitative and Computational Biology

University of Southern California

Address: 1050 Childs Way, RRI 416D, Los Angeles, CA 90089

Email: yinq@usc.edu

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Short Bio
I'm a Ph.D. candidate at University of Southern California, advised by Prof. Liang Chen. My research focuses on using machine learning algorithms to analyze high-throughput sequencing data.

I received my B.E. degree from Xiamen University with a major of Automation in 2021, advised by Prof. Jinting Guan.

I was born in Qingdao, a beautiful coastal city in China.
Education
Ph.D. candidate in Computational Biology and Bioinformatics, University of Southern California, 2021.8-present

Exchange student, University of California, Berkeley, 2019.8-2019.12

B.E. in Automation, Xiamen University, 2017.9-2021.6
Research Interests
High-throughput sequencing data analysis

Explainable artificial intelligence
Publications
Explainable deep learning for identifying cancer driver genes and generating driver-like artificial representative variants based on the Cancer Dependency Map Explainable deep learning for identifying cancer driver genes and generating driver-like artificial representative variants based on the Cancer Dependency Map
Qingyang Yin, Liang Chen
in preparation, 2025
CellTICS: an explainable neural network for cell-type identification and interpretation based on single-cell RNA-seq data CellTICS: an explainable neural network for cell-type identification and interpretation based on single-cell RNA-seq data
Qingyang Yin, Liang Chen
Briefings in Bioinformatics, 2024
scIAE: an integrative autoencoder-based ensemble classification framework for single-cell RNA-seq data scIAE: an integrative autoencoder-based ensemble classification framework for single-cell RNA-seq data
Qingyang Yin, Yang Wang, Jinting Guan, Guoli Ji
Briefings in Bioinformatics, 2022
Cell type-specific predictive models perform prioritization of genes and gene sets associated with autism Cell type-specific predictive models perform prioritization of genes and gene sets associated with autism
Jinting Guan, Yang Wang, Yiping Lin, Qingyang Yin, Yibo Zhuang, Guoli Ji
Frontiers in Genetics, 2021
Awards and Honors
USC Dornsife graduate fellowship, 2021

Outstanding graduate at Xiamen University, 2021

Jixin-Engine special scholarship, 2021

Huang Zhongxian scholarship, 2020

China national scholarship, 2018

Updated Jan 2025

This theme is adapted from Jon Barron's page .