Harlin Lee

According to our database, Harlin Lee authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Distilled non-semantic speech embeddings with binary neural networks for low-resource devices.

Harlin Lee, Aaqib Saeed

Pattern Recognit. Lett., January, 2024

Explainable Enrichment-Driven GrAph Reasoner (EDGAR) for Large Knowledge Graphs with Applications in Drug Repurposing.

Olawumi Olasunkanmi, Evan Morris, Yaphet Kebede, Harlin Lee, Stanley C. Ahalt, Alexander Tropsha, Chris Bizon

CoRR, 2024

Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging.

Amartya Banerjee, Harlin Lee, Nir Sharon, Caroline Moosmüller

CoRR, 2024

A Blob Method for Mean Field Control With Terminal Constraints.

Katy Craig, Karthik Elamvazhuthi, Harlin Lee

CoRR, 2024

2023

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

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

Nat. Mac. Intell., October, 2023

O(k)-Equivariant Dimensionality Reduction on Stiefel Manifolds.

Andrew Lee, Harlin Lee, Jose A. Perea, Nikolas Schonsheck, Madeleine Weinstein

CoRR, 2023

Active Learning of non-Semantic Speech Tasks with Pretrained models.

Harlin Lee, Aaqib Saeed, Andrea L. Bertozzi

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

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

Lu Cheng, Jacob G. Foster, Harlin Lee

Frontiers Res. Metrics Anal., 2022

Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network.

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

CoRR, 2022

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

Harlin Lee, Aaqib Saeed

CoRR, 2022

Privacy-Preserving Federated Multi-Task Linear Regression: A One-Shot Linear Mixing Approach Inspired By Graph Regularization.

Harlin Lee, Andrea L. Bertozzi, Jelena Kovacevic, Yuejie Chi

Proceedings of the IEEE International Conference on Acoustics, 2022

Joint Content-Context Analysis of Scientific Publications: Identifying Opportunities for Collaboration in Cognitive Science.

Lu Cheng, Harlin Lee, Girish Ganesan, William L. He, Daniel Silverston, Jacob G. Foster

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization.

Jing Qin, Harlin Lee, Jocelyn T. Chi, Lucas Drumetz, Jocelyn Chanussot, Yifei Lou, Andrea L. Bertozzi

IEEE Trans. Geosci. Remote. Sens., 2021

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

Harlin Lee, Rishi Sonthalia, Jacob G. Foster

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Vector-Valued Graph Trend Filtering With Non-Convex Penalties.

Rohan Varma, Harlin Lee, Jelena Kovacevic, Yuejie Chi

IEEE Trans. Signal Inf. Process. over Networks, 2020

2019

Fast Blind Hyperspectral Unmixing Based On Graph Laplacian.

Jing Qin, Harlin Lee, Jocelyn T. Chi, Yifei Lou, Jocelyn Chanussot, Andrea L. Bertozzi

Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Improving Graph Trend Filtering with Non-convex Penalties.

Rohan Varma, Harlin Lee, Yuejie Chi, Jelena Kovacevic

Proceedings of the IEEE International Conference on Acoustics, 2019