Xiang Zhang
Assistant Professor at University of North Carolina at Charlotte
Charlotte, North Carolina, United States
Summary
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Senior🎓
Top SchoolXiang Zhang is an Assistant Professor of Computer Science at UNC Charlotte and director of CharMLab, bringing nine years of experience at the intersection of data mining and machine learning with a focus on medical time series, pervasive healthcare, and brain-computer interfaces. He completed a PhD at UNSW and was a postdoctoral researcher at Harvard, contributing to top venues such as ICLR, NeurIPS, KDD and Nature Computational Science. Xiang applies deep learning, GNNs, and EEG analysis to translate clinical signals into actionable models, often bridging methodological rigor with real-world biomedical applications. Known for combining high-impact publication record with lab leadership, he also maintains an applied research presence on GitHub highlighting EEG and medical time-series projects.
9 years of coding experience
UNSW Sydney
Github Skills (27)
representation-learning10
pre-trained-model10
representations10
self-supervised-learning10
transfer-learning10
contrastive-learning10
time-frequency9
adversarial-attacks9
geometric-deep-learning9
pytorch9
time-series9
graph9
deep-learning9
brain-computer-interface9
graph-neural-network9
Programming languages (3)
Github contributions (5)
xiangzhang1015/EEG_Shape_Reconstruction
Sep 2019 - Jan 2022
Contributions:6 commits, 5 pushes, 1 branch in 2 years 4 months
mims-harvard/TFC-pretraining
Mar 2022 - Jan 2023
Self-supervised contrastive learning for time series via time-frequency consistency
Contributions:56 commits, 1 PR, 51 pushes in 10 months
pytorchsupervisedcontrastive-learningtime-frequencytransfer-learning
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