Harlin Lee

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Total Variation Regularization

Semantic Network

Machine Learning

Linear Regression

Top Venues

Frontiers Res. Metrics Anal.

Publications

Katy Craig, Karthik Elamvazhuthi, Harlin Lee
A Blob Method for Mean Field Control With Terminal Constraints. CoRR (2024)
Harlin Lee, Aaqib Saeed
Distilled non-semantic speech embeddings with binary neural networks for low-resource devices. Pattern Recognit. Lett. 177 (2024)
Amartya Banerjee, Harlin Lee, Nir Sharon, Caroline Moosmüller
Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging. CoRR (2024)
Mario Krenn, Lorenzo Buffoni, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. Nat. Mac. Intell. 5 (11) (2023)
Andrew Lee, Harlin Lee, Jose A. Perea, Nikolas Schonsheck, Madeleine Weinstein
O(k)-Equivariant Dimensionality Reduction on Stiefel Manifolds. CoRR (2023)
Harlin Lee, Aaqib Saeed, Andrea L. Bertozzi
Active Learning of non-Semantic Speech Tasks with Pretrained models. ICASSP (2023)
Mario Krenn, Lorenzo Buffoni, Bruno Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. CoRR (2022)
Lu Cheng, Jacob G. Foster, Harlin Lee
A Simple, interpretable method to identify surprising topic shifts in scientific fields. Frontiers Res. Metrics Anal. 7 (2022)
Harlin Lee, Aaqib Saeed, Andrea L. Bertozzi
Active Learning of Non-semantic Speech Tasks with Pretrained Models. CoRR (2022)
Harlin Lee, Aaqib Saeed
Pediatric Sleep Scoring In-the-wild from Millions of Multi-channel EEG Signals. CoRR (2022)
Harlin Lee, Andrea L. Bertozzi, Jelena Kovacevic, Yuejie Chi
Privacy-Preserving Federated Multi-Task Linear Regression: A One-Shot Linear Mixing Approach Inspired By Graph Regularization. ICASSP (2022)
Harlin Lee, Aaqib Saeed
Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for Low-Resource Devices. CoRR (2022)
Lu Cheng, Harlin Lee, Girish Ganesan, William L. He, Daniel Silverston, Jacob G. Foster
Joint Content-Context Analysis of Scientific Publications: Identifying Opportunities for Collaboration in Cognitive Science. CogSci (2022)
Jing Qin, Harlin Lee, Jocelyn T. Chi, Lucas Drumetz, Jocelyn Chanussot, Yifei Lou, Andrea L. Bertozzi
Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization. IEEE Trans. Geosci. Remote. Sens. 59 (4) (2021)
Harlin Lee, Rishi Sonthalia, Jacob G. Foster
Dynamic Embedding-based Methods for Link Prediction in Machine Learning Semantic Network. IEEE BigData (2021)
Rohan Varma, Harlin Lee, Jelena Kovacevic, Yuejie Chi
Vector-Valued Graph Trend Filtering With Non-Convex Penalties. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Jing Qin, Harlin Lee, Jocelyn T. Chi, Yifei Lou, Jocelyn Chanussot, Andrea L. Bertozzi
Fast Blind Hyperspectral Unmixing Based On Graph Laplacian. WHISPERS (2019)
Rohan Varma, Harlin Lee, Jelena Kovacevic, Yuejie Chi
Vector-Valued Graph Trend Filtering with Non-Convex Penalties. CoRR (2019)
Rohan Varma, Harlin Lee, Yuejie Chi, Jelena Kovacevic
Improving Graph Trend Filtering with Non-convex Penalties. ICASSP (2019)