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π I hold a bachelor's degree in Electrical and Computer Engineering from University of Missouri, Columbia, and a master's degree in Computer Science from New York University.
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π± Iβm currently pursuing a PhD degree in Computer Science at University of North Carolina, Charlotte, advised by Dr. Xiang Zhang.
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π My research interests include Deep Learning for EEG, Brain-Computer Interfaces (BCI), Medical Time-series (MedTS), and Brain Foundation Model.
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π Reviewer for NeurIPS, ICLR, ICML, AISTATS, AAAI;
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π― I am looking for a PhD summer internship in 2026 focusing on EEG, BCI, and AI for healthcare. If you have opportunities available in these areas, please reach out to me at [email protected].
PhD student at UNC-Charlotte. Deep Learning, EEG, BCI, Medical Time-series, Foundation Model
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University of North Carolina - Charlotte
- North Carolina - Charlotte
- https://scholar.google.com/citations?user=1JRRcVkAAAAJ&hl=en
- https://orcid.org/0009-0000-5220-5452
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DL4mHealth/COMET
DL4mHealth/COMET Public[Neurips 2023] A Hierarchical Contrastive Framework for Medical Time-Series
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DL4mHealth/Medformer
DL4mHealth/Medformer Public[Neurips 2024] A Multi-Granularity Patching Transformer for Medical Time-Series Classification
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DL4mHealth/LEAD
DL4mHealth/LEAD PublicThe World's First Foundational Model for EEG-based Alzheimer's Disease Detection
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DL4mHealth/ADformer
DL4mHealth/ADformer PublicAn End-to-end Transformer for Alzheimer's Disease Detection
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DL4mHealth/ERP-Benchmark
DL4mHealth/ERP-Benchmark PublicBenchmarking ERP Analysis with Manual Features, Deep Learning, and Foundation Models
Jupyter Notebook 8
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