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ZIYANG ZHANG 张子扬
Ph.D. Student, Emory University
Researcher, Emory Graph Mining Lab
ziyang.zhang2@emory.edu

Hello there! My name is Ziyang Zhang, currently a Ph.D. student in Computer Science and Informatics at Emory University, advised by Dr. Carl Yang. My research interests are in multimodal graph learning and interpretable AI for health. I am also a researcher in National Institutes of Health (NIH)’s All of Us Research Program. Before my Ph.D. journey, I was pursuing a Master’s degree at Emory and exited the program in 2024 when I transferred to the Ph.D. I obtained my Bachelor’s degree at Shenzhen University.

Outside of my research, I enjoy a bunch of stuffs like video games, traveling, anime, TV shows, sports, cars (thrilled to share I got a Tesla recently), etc. If you’ve ever been to my parties, you also know that I’m a (amateur) bartender and barista.

Research Interests

  • Health-oriented Multimodal Learning (e.g., EHR, genomics)
  • Graph Neural Networks (e.g., Hypergraph)
  • Disease Predicting and Subtyping (e.g., Type II Diabetes)
  • Foundation Models for Healthcare

Education

Emory University
2023 - present
Ph.D. Computer Science & Informatics
M.S. Computer Science (exited in 2024)
Shenzhen University
2019 - 2023
B.Eng. Computer Science & Technology

News

Publications

Type 2 Diabetes Subtyping via Phenotype and Genotype Co-Learning, 2024,
Ziyang Zhang , Lily Wang , Weimin Meng , Chang Liu , Hui Shao , Yan Sun , Jingchuan Guo , Jiang Bian , Rui Yin , Carl Yang
Measuring Spiritual Values and Bias of Large Language Models, 2024, arXiv
Songyuan Liu , Ziyang Zhang , Runze Yan , Wei Wu , Carl Yang , Jiaying Lu
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data, 2024, Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining (KDD)
Ziyang Zhang , Hejie Cui , Ran Xu , Yuzhang Xie , Joyce C. Ho , Carl Yang
Enhanced Gaussian Process Dynamical Models with Knowledge Transfer for Long-term Battery Degradation Forecasting, 2023, arXiv
Wei W. Xing* , Ziyang Zhang* , Akeel Shah (* Equal Contributions)
Multi-fidelity Design Optimization of Solid Oxide Fuel Cells Using a Bayesian Feature Enhanced Stochastic Collocation, 2023, International Journal of Hydrogen Energy
Wei W. Xing , Akeel A. Shah , Guohao Dai , Ziyang Zhang , Ting Guo , Hong Qiu , Puiki Leung , Qian Xu , Xun Zhu , Qiang Liao