Improving Graph Trend Filtering with Non-convex Penalties. - Rohan Varma; Harlin Lee; Yuejie Chi; Jelena Kovacevic (ICASSP, 2019)

Fast Blind Hyperspectral Unmixing Based On Graph Laplacian. - Jing Qin 003; Harlin Lee; Jocelyn T. Chi; Yifei Lou; Jocelyn Chanussot; Andrea L. Bertozzi (WHISPERS, 2019)

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)

Dynamic Embedding-based Methods for Link Prediction in Machine Learning Semantic Network. - Harlin Lee; Rishi Sonthalia; Jacob G. Foster (IEEE BigData, 2021)

Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization. - Jing Qin 003; Harlin Lee; Jocelyn T. Chi; Lucas Drumetz; Jocelyn Chanussot; Yifei Lou; Andrea L. Bertozzi (IEEE Trans. Geosci. Remote. Sens., 2021)

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 (CogSci, 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 (ICASSP, 2022)

Pediatric Sleep Scoring In-the-wild from Millions of Multi-channel EEG Signals. - Harlin Lee; Aaqib Saeed (CoRR, 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; et al. (CoRR, 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)

Active Learning of non-Semantic Speech Tasks with Pretrained models. - Harlin Lee; Aaqib Saeed; Andrea L. Bertozzi (ICASSP, 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; et al. (Nat. Mac. Intell., 2023)

PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals. - Saurav Raj Pandey; Aaqib Saeed; Harlin Lee (BHI, 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 (IEEE Big Data, 2024)

A Blob Method for Mean Field Control With Terminal Constraints. - Katy Craig; Karthik Elamvazhuthi; Harlin Lee (CoRR, 2024)

PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals. - Saurav R. Pandey; Aaqib Saeed; Harlin Lee (CoRR, 2024)

Distilled non-semantic speech embeddings with binary neural networks for low-resource devices. - Harlin Lee; Aaqib Saeed (Pattern Recognit. Lett., 2024)

Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging. - Amartya Banerjee; Harlin Lee; Nir Sharon; Caroline Moosmüller (AISTATS, 2025)

({O({k})} )-Equivariant Dimensionality Reduction on Stiefel Manifolds. - Andrew Lee; Harlin Lee; Jose A. Perea; Nikolas Schonsheck; Madeleine Weinstein (SIAM J. Math. Data Sci., 2025)

Empirical Power Analysis of a Statistical Test to Quantify Gerrymandering. - Ranthony A. Clark; Susan Glenn; Harlin Lee; Soledad Villar (CoRR, 2025)

Adaptive Multimodal Protein Plug-and-Play with Diffusion-Based Priors. - Amartya Banerjee; Xingyu Xu; Caroline Moosmüller; Harlin Lee (CoRR, 2025)

Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets. - Cem Ata Baykara; Saurav Raj Pandey; Ali Burak Ünal; Harlin Lee; Mete Akgün (CoRR, 2025)