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ZIYANG ZHANG 张子扬
Ph.D. Student, Emory Graph Mining Lab, Emory University Emory University logo
ziyang.zhang2@emory.edu
Student Researcher, Health AI, Google Google logo
ziyangzhang@google.com

Hello there! My name is Ziyang Zhang, currently a 2nd-year 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 healthcare. In summer 2025, I had the honor working with Dr. Fan Zhang in Health AI team at Google Research, where we applied Gemini in diverse real-world primary care settings. 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, animes, TV shows, sports, cars, 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)
  • LLM Agents in Healthcare
  • Graph Neural Networks (e.g., Hypergraph)
  • Disease Predicting and Subtyping (e.g., Type II Diabetes)

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

Dialogue to Questions Generation for Evidence-based Medical Guideline Agent Development, 2025, under review
Zongliang Ji* , Ziyang Zhang* , Xincheng Tan , Anna Goldenberg , Carl Yang , Rahul G Krishnan , Fan Zhang
KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs, 2025, Proceedings of the American Medical Informatics Association Annual Summit (AMIA)
Yuzhang Xie , Hejie Cui , Ziyang Zhang , Jiaying Lu , Kai Shu , Fadi Nahab , Xiao Hu , Carl Yang
Measuring Spiritual Values and Bias of Large Language Models, 2025, Workshop on Large Language Models for Scientific and Societal Advances: The ACM International Conference on Knowledge Discovery and Data Mining (KDD-SciSocLLM)
Songyuan Liu , Ziyang Zhang , Runze Yan , Wei Wu , Carl Yang , Jiaying Lu
Type 2 Diabetes Subtyping via Phenotype and Genotype Co-Learning, 2025, Proceedings of the World Congress on Medical and Health Informatics (MedInfo), Best Paper Award (First Place)
Ziyang Zhang , Lily Wang , Weimin Meng , Chang Liu , Hui Shao , Yan Sun , Jingchuan Guo , Jiang Bian , Rui Yin , Carl Yang
Enhanced Gaussian Process Dynamical Modeling for Battery Health Status Forecasting, 2025, Renewable and Sustainable Energy Reviews (impact factor: 16.3)
Wei W. Xing , Ziyang Zhang , Akeel Shah
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
Multi-fidelity Design Optimization of Solid Oxide Fuel Cells Using a Bayesian Feature Enhanced Stochastic Collocation, 2023, International Journal of Hydrogen Energy (impact factor: 8.1)
Wei W. Xing , Akeel A. Shah , Guohao Dai , Ziyang Zhang , Ting Guo , Hong Qiu , Puiki Leung , Qian Xu , Xun Zhu , Qiang Liao