Harlin Lee

发表

Pediatric Sleep Scoring In-the-wild from Millions of Multi-channel EEG Signals

Aaqib Saeed, Harlin Lee, 2022, ArXiv.

Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network

Jacob G. Foster, Mario Krenn, Michael Kopp, 2022, Nature Machine Intelligence.

A Simple, interpretable method to identify surprising topic shifts in scientific fields

Jacob G. Foster, Harlin Lee, Lu Cheng, 2022, Frontiers in Research Metrics and Analytics.

Automatic Sleep Scoring from Large-scale Multi-channel Pediatric EEG

Aaqib Saeed, Harlin Lee, 2022, 2207.06921.

Active Learning of Non-semantic Speech Tasks with Pretrained Models

A. Bertozzi, Aaqib Saeed, Harlin Lee, 2022, ArXiv.

Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization

Jocelyn Chanussot, Andrea L. Bertozzi, Jing Qin, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Active Learning of Non-semantic Speech Tasks with Pretrained Models

A. Bertozzi, Aaqib Saeed, Harlin Lee, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Building improved risk stratification models for patients post non ST-segment elevation acute coronary syndrome using ambulatory ECG data

Harlin Lee, 2017 .

Vector-Valued Graph Trend Filtering With Non-Convex Penalties

Jelena Kovacevic, Yuejie Chi, Rohan Varma, 2019, IEEE Transactions on Signal and Information Processing over Networks.

A large collection of real-world pediatric sleep studies

Yuejie Chi, Harlin Lee, Boyue Li, 2021, Scientific data.

Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for Low-Resource Devices

Aaqib Saeed, Harlin Lee, 2022, SSRN Electronic Journal.

Fast Blind Hyperspectral Unmixing Based On Graph Laplacian

Jocelyn Chanussot, Yifei Lou, Andrea L. Bertozzi, 2019, 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Improving Graph Trend Filtering with Non-convex Penalties

Jelena Kovacevic, Yuejie Chi, Rohan Varma, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Dynamic Embedding-based Methods for Link Prediction in Machine Learning Semantic Network

Harlin Lee, Rishi Sonthalia, Jacob G. Foster, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Dynamic Embedding-based Methods for Link Prediction in Machine Learning Semantic Network

Rishi Sonthalia, Harlin Lee, J. Foster, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Vector-Valued Graph Trend Filtering With Non-Convex Penalties

Yuejie Chi, J. Kovacevic, R. Varma, 2019, IEEE Transactions on Signal and Information Processing over Networks.