Yiran Huang
I work at the intersection of graph-based machine learning, large language models, and neuroscience. My research focuses on dynamic functional connectivity in fMRI using graph-based and sequence models, including naturalistic movie-watching paradigms.
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Selected Publications
A Bit About Me
I am a Ph.D. candidate in Data Science at New Jersey Institute of Technology, advised by Dr. Mengjia Xu. My research sits at the intersection of machine learning and large language models, with a focus on dynamic functional connectivity in fMRI using graph-based and sequence models, including naturalistic movie-watching paradigms.
Before my Ph.D., I completed my M.S. in CS at Boston University and B.S. in CS at Nanjing Normal University.
Outside of research, I enjoy traveling 
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and playing the piano......
Professional Activities
- Conference Reviewer IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2026 AAAI Conference on Artificial Intelligence 2026
- Journal Reviewer Scientific Reports (Nature)
Teaching Assistant
- CS444 Big Data Systems
- DS675 Machine Learning
- CS101 Comp Prog & Prob Solving
- DS683 Graph Neural Networks
- DS636 Data Analytics with R Program
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Full academic curriculum vitae including publications, talks, teaching, and service.
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