Ziheng Duan

Ph.D. Student

University of California, Irvine

Biography

I am a third-year CS Ph.D. student at the University of California, Irvine, advised by Prof. Jing Zhang. Previously, I graduated from the College of Control Science and Technology, Zhejiang University. During my undergrad, I was fortunate to work with Prof. Xiaoqian Wang, Quanzheng Li, and Fei Wu. Now, I am interested in computational biology and machine learning.

Outside my research, I am also a bodybuilder, having competed in NPC men’s physique and been certified as a personal trainer by ACE.

Download my resumé.

Interests

Computational Biology
Machine Learning

Education

BSc in Automation and Computer Science (Double Degree), 2020
Zhejiang University

Publications & Preprints

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scENCORE: leveraging single-cell epigenetic data to predict chromatin conformation using graph embedding

Ziheng Duan, Siwei Xu, Shushrruth Sai Srinivasan, Ahyeon Hwang, Che Yu Lee, Feng Yue, Mark Gerstein, Yu Luan, Matthew Girgenti, Jing Zhang

ExAD-GNN: explainable graph neural network for Alzheimer’s disease state prediction from single-cell data

Ziheng Duan, CheYu Lee, Jing Zhang

iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease

Ziheng Duan, Yi Dai, Ahyeon Hwang, CheYu Lee, Kaichi Xie, Chutong Xiao, Min Xu, Matthew J. Girgenti, Jing Zhang

See all publications

Talks

13th Annual Symposium, Southern California Systems Biology

Present scENCORE, a computationally method to reconstruct chromatin compartments from the more affordable and widely accessible single-cell epigenetic data.

Last updated on Mar 24, 2024

13th Annual Symposium, Southern California Systems Biology

Fall 2023 SCORCH Consortium Meeting

Present iHerd, a hierarchical graph representation learning method for identifying key driver genes by analyzing gene network changes across different conditions.

Last updated on Dec 13, 2023

Services

Teaching

Reader in ICS 178 Machine Learning and Data-Mining (Fall 2021), ICS 178 Machine Learning and Data-Mining (Winter 2021), ICS 6D Discrete Mathematics for Computer Science (Spring 2022)

PC Member/Reviewer

AIMHC-2024

Journal Reviewer (Selected)

IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Science, Pattern Recognition, Pattern Recognition Letters, Knowledge-Based Systems, Knowledge and Information Systems, Neurocomputing, IEEE Access, Supercomputing, Reliability Engineering & System Safety, Gene, Heliyon