Harlin Lee

University of North Carolina at Chapel Hill — United States

Computer Science · Physical Sciences

6h-index235citations29works0.22yr avg
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Research Topics

Speech Recognition and Synthesis(5), Advanced Graph Neural Networks(5), Complex Network Analysis Techniques(4), Bioinformatics and Genomic Networks(4), Sleep and Wakefulness Research(4)

Publications29 total

Unsupervised Multi-Source Federated Domain Adaptation under Domain Diversity through Group-Wise Discrepancy Minimization
arXiv (Cornell University)·2025Open Access
RELATE: Relation Extraction in Biomedical Abstracts with LLMs and Ontology Constraints
arXiv (Cornell University)·2025Open Access
A Closeness Centrality-based Circuit Partitioner for Quantum Simulations
arXiv (Cornell University)·2025Open Access
Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets
arXiv (Cornell University)·2025Open Access
\({O({k})}\)-Equivariant Dimensionality Reduction on Stiefel Manifolds
SIAM Journal on Mathematics of Data Science·2025Open Access
Active Learning for Reducing Gender Gaps in Undergraduate Computing and Data Science
Association for Women in Mathematics series·2025
Explainable Enrichment-Driven GrAph Reasoner (EDGAR) for Large Knowledge Graphs with Applications in Drug Repurposing
2024· 2 cited
PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals
2024
PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals
arXiv (Cornell University)·2024Open Access
Explainable Enrichment-Driven GrAph Reasoner (EDGAR) for Large Knowledge Graphs with Applications in Drug Repurposing
arXiv (Cornell University)·2024Open Access
Distilled non-semantic speech embeddings with binary neural networks for low-resource devices
Pattern Recognition Letters·2023· 3 citedOpen Access
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network
Nature Machine Intelligence·2023· 66 citedOpen Access
$O(k)$-Equivariant Dimensionality Reduction on Stiefel Manifolds
arXiv (Cornell University)·2023Open Access
Active Learning of non-Semantic Speech Tasks with Pretrained models
2023· 1 citedOpen Access
Active Learning of Non-semantic Speech Tasks with Pretrained Models
arXiv (Cornell University)·2022Open Access
A Simple, interpretable method to identify surprising topic shifts in scientific fields
Frontiers in Research Metrics and Analytics·2022· 2 citedOpen Access
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network
arXiv (Cornell University)·2022· 7 citedOpen Access
A large collection of real-world pediatric sleep studies
Scientific Data·2022· 56 citedOpen Access
Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for Low-Resource Devices
arXiv (Cornell University)·2022Open Access
Automatic Sleep Scoring from Large-scale Multi-channel Pediatric EEG
arXiv (Cornell University)·2022· 1 citedOpen Access
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Frequent Co-authors

Aaqib Saeed(8), Andrea L. Bertozzi(5), Yuejie Chi(4), Jacob G. Foster(3), Rishi Sonthalia(3), Jelena Kovačević(3), Olawumi Olasunkanmi(3), Stanley C. Ahalt(3), Chris Bizon(3), Saurav Raj Pandey(3), Mario Krenn(2), Lorenzo Buffoni(2), Bruno Coutinho(2), Sagi Eppel(2), Andrew Gritsevskiy(2), Yichao Lu(2), João P. Moutinho(2), Nima Sanjabi(2), Ngoc Mai Tran(2), Francisco Valente(2)