Ziyang Zhang

ZIYANG ZHANG 张子扬

Ph.D. Student, Emory Graph Mining Lab, Emory University

ziyang.zhang2@emory.edu

Student Researcher, Health AI, Google

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

Yuzu, a 4 month old British Shorthair kitten, is joining my home! Follow his journey here. October 2025
I will attend ML4H and NeurIPS at San Diego, chat & connect are welcome! My latest paper Dialogue to Question Generation for Evidence-based Medical Guideline Agent Development has been accepted to ML4H2025. October 2025
My paper Type 2 Diabetes Subtyping via Phenotype and Genotype Co-Learning has won the Best Paper Award (First Place) from MedInfo 2025! August 2025
I am now doing my summer internship as a Student Researcher at Google Health AI! June 2025
Two collborated papers are accepted! May 2025
Our work on predicting battery health status using Gaussian methods is accpeted to Renewable and Sustainable Energy Reviews , Jan 2025
I am invited to serve as a reviewer for ACM TKDD , November 2024
My work on disease subtyping based on EHR data is accepted to ACM SIGKDD Conference on Knowledge Discovery and Data Mining Applied Data Science Track. I will present this paper in person in Barcelona. Cheers! May 2024
I am invited to serve as a reviewer for ACM SIGIR , February 2024

Publications

Joint Learning of Complication Risks and Subtyping in Type 2 Diabetes Uncovers Distinct Clinical and Genetic Fingerprints, 2025, under review,

Ziyang Zhang , Lily Wang , Chang Liu , Hejie Cui , Minghan Chen , Jingchuan Guo , Jiang Bian , Yan V. Sun , Carl Yang

Dialogue to Question Generation for Evidence-based Medical Guideline Agent Development, 2025, Proceedings of the Machine Learning for Health Symposium (ML4H)

Zongliang Ji* , Ziyang Zhang* , Xincheng Tan , Matthew Thompson , 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

pdf

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

code pdf

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

code pdf

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

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