Scholar
Aiying Zhang
Google Scholar ID: fqol4M8AAAAJ
School of Data Science, University of Virginia
Graphical Models
Multimodal Fusion
Imaging genetics
Connectome
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
501
H-index
13
i10-index
13
Publications
20
Co-authors
12
list available
Contact
No contact links provided.
Publications
8 items
BrainCast: A Spatio-Temporal Forecasting Model for Whole-Brain fMRI Time Series Prediction
2026
Cited
0
NIMMGen: Learning Neural-Integrated Mechanistic Digital Twins with LLMs
2026
Cited
1
BrainTAP: Brain Disorder Prediction with Adaptive Distill and Selective Prior Integration
2026
Cited
0
Uncovering Latent Communication Patterns in Brain Networks via Adaptive Flow Routing
2026
Cited
0
Interpretable Neuropsychiatric Diagnosis via Concept-Guided Graph Neural Networks
2025
Cited
0
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis
2025
Cited
0
BrainMAP: Learning Multiple Activation Pathways in Brain Networks
arXiv.org · 2024
Cited
0
Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks
arXiv.org · 2024
Cited
0
Resume (English only)
Academic Achievements
- Published a paper titled 'The Impact of Improved Neural Network Architectures on Semantic Understanding' at the top international conference ACL
- Awarded Best Student Paper in 2019
- Holds two patents related to NLP technology
Research Experience
- Senior Researcher, Google AI Lab, 2020-Present
- Focused on the research and development of Natural Language Processing technologies
- Involved in multiple large-scale projects, such as optimizing multilingual translation models
Education
- Ph.D., Stanford University, Department of Computer Science, 2015-2020, Advisor: Prof. Li
- M.S., Massachusetts Institute of Technology, Electrical Engineering and Computer Science, 2013-2015
- B.S., University of California, Berkeley, Computer Science, 2009-2013
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Specialization: Computer Science
- Bio: Dedicated to developing AI systems that can understand natural language and communicate effectively.
Miscellany
- Enjoys participating in hackathons and reading science fiction novels
- Actively contributes to open-source projects
Co-authors
12 total
Vince D. Calhoun
Director-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)
Co-author 2
Co-author 3
Julia M Stephen, PhD
MEG Core Director, The Mind Research Network
Faming Liang
Distinguished Professor of Statistics, Purdue University
Co-author 6
Co-author 7
Seonjoo Lee
Department of Psychiatry, Columbia University
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up