GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism Conference Paper May, 2025
Privacy-Preserving Federated Learning for Science: Challenges and Research Directions Conference Paper December, 2024
SNNVis: Visualizing Graph Embedding of Evolutionary Optimization for Spiking Neural Networks Conference Paper December, 2024
Estimating Critical Customer Outages Resulting from Extreme Hurricanes Conference Paper December, 2024
Counter Data Paucity through Adversarial Invariance Encoding: A Case Study on Modeling Battery Thermal Runaway Conference Paper December, 2024
MDLoader: A Hybrid Model-Driven Data Loader for Distributed Graph Neural Network Training Conference Paper November, 2024
Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations Conference Paper November, 2024
Accelerated Constrained Sparse Tensor Factorization on Massively Parallel Architectures Conference Paper August, 2024
