Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network M Krenn, L Buffoni, B Coutinho, S Eppel, JG Foster, A Gritsevskiy, H Lee, ...
Nature Machine Intelligence 5 (11), 1326-1335, 2023
58 * 2023 Blind hyperspectral unmixing based on graph total variation regularization J Qin, H Lee, JT Chi, L Drumetz, J Chanussot, Y Lou, AL Bertozzi
IEEE Transactions on Geoscience and Remote Sensing 59 (4), 3338-3351, 2020
38 2020 Vector-Valued Graph Trend Filtering with Non-Convex Penalties R Varma, H Lee, J Kovačević, Y Chi
IEEE Transactions on Signal and Information Processing over Networks 6, 48-62, 2019
38 2019 A large collection of real-world pediatric sleep studies H Lee, B Li, S DeForte, M Splaingard, Y Huang, Y Chi, S Linwood
Scientific Data 9 (1), 421, 2022
33 * 2022 Fast Blind Hyperspectral Unmixing Based On Graph Laplacian J Qin, H Lee, JT Chi, Y Lou, J Chanussot, AL Bertozzi
2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2019
11 2019 Privacy-Preserving Federated Multi-Task Linear Regression: A One-Shot Linear Mixing Approach Inspired By Graph Regularization H Lee, AL Bertozzi, J Kovačević, Y Chi
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
7 2022 Active Learning of non-Semantic Speech Tasks with Pretrained models H Lee, A Saeed, AL Bertozzi
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
4 2023 Automatic Sleep Scoring from Large-scale Multi-channel Pediatric EEG H Lee, A Saeed
NeurIPS 2022 Workshop on Learning from Time Series for Health, 2022
4 * 2022 Dynamic Embedding-based Methods for Link Prediction in Machine Learning Semantic Network H Lee, R Sonthalia, JG Foster
2021 IEEE International Conference on Big Data (Big Data), 5801-5808, 2021
4 2021 Better Inference with Graph Regularization H Lee
Carnegie Mellon University, 2021
3 2021 Improving Graph Trend Filtering with Non-Convex Penalties R Varma, H Lee, Y Chi, J Kovačević
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2019
3 2019 A Blob Method for Mean Field Control With Terminal Constraints K Craig, K Elamvazhuthi, H Lee
arXiv preprint arXiv:2402.10124, 2024
2 2024 Distilled non-semantic speech embeddings with binary neural networks for low-resource devices H Lee, A Saeed
Pattern Recognition Letters 177, 15-19, 2024
2 2024 A Simple, Interpretable Method to Identify Surprising Topic Shifts in Scientific Fields L Cheng, JG Foster, H Lee
Frontiers in Research Metrics and Analytics, 2022
2 2022 Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging A Banerjee, H Lee, N Sharon, C Moosmüller
arXiv preprint arXiv:2405.19679, 2024
1 2024 Joint Content-Context Analysis of Scientific Publications: Identifying Opportunities for Collaboration in Cognitive Science L Cheng, G Ganesan, W He, D Silverston, H Lee, JG Foster
NeurIPS 2021 AI for Science Workshop, 2021
1 2021 Empirical Power Analysis of a Statistical Test to Quantify Gerrymandering RA Clark, S Glenn, H Lee, S Villar
2025 Joint Mathematics Meetings (JMM 2025), 2025
2025 PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals SR Pandey, A Saeed, H Lee
arXiv preprint arXiv:2411.00718, 2024
2024 Explainable Enrichment-Driven GrAph Reasoner (EDGAR) for Large Knowledge Graphs with Applications in Drug Repurposing O Olasunkanmi, E Morris, Y Kebede, H Lee, S Ahalt, A Tropsha, C Bizon
arXiv preprint arXiv:2409.18659, 2024
2024 A Lee, H Lee, JA Perea, N Schonsheck, M Weinstein
arXiv preprint arXiv:2309.10775, 2023
2023 
Jacob G. FosterProfessor of Informatics & Cognitive Science, Indiana; External Professor, Santa Fe InstituteEmail verificata su iu.edu
