4.1k citations
- The Ohio State UniversityUS183 papers
- Pennsylvania State UniversityUS156 papers
- University of California, BerkeleyUS147 papers
- Texas A&M UniversityUS145 papers
- The University of Texas at AustinUS137 papers
- Vanderbilt UniversityUS135 papers
- Yale UniversityUS135 papers
- University of Illinois ChicagoUS133 papers
- Chinese Academy of SciencesCN130 papers
- Lawrence Berkeley National LaboratoryUS126 papers
- Michigan State UniversityUS126 papers
- Purdue University West LafayetteUS125 papers
59 papers · 1 filter
ST-GRIT: Spatio-Temporal Graph Transformer For Internal Ice Layer Thickness Prediction
Zesheng Liu, Maryam Rahnemoonfar
Understanding the thickness and variability of internal ice layers in radar imagery is crucial for monitoring snow accumulation, assessing ice dynamics, and reducing uncertainties…
On Using the Shapley Value for Anomaly Localization: A Statistical Investigation
Xubin Fang, Rick S. Blum, Franziska Freytag
Recent publications have suggested using the Shapley value for anomaly localization for sensor data systems. Using a reasonable mathematical anomaly model for full control, experim…
Real-Time Cell Sorting with Scalable In Situ FPGA-Accelerated Deep Learning
Khayrul Islam, Ryan F. Forelli, Jianzhong Han +6
Precise cell classification is essential in biomedical diagnostics and therapeutic monitoring, particularly for identifying diverse cell types involved in various diseases. Traditi…
Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering
Zichen Wen, Tianyi Wu, Yazhou Ren +4
Multi-view clustering is an important machine learning task for multi-media data, encompassing various domains such as images, videos, and texts. Moreover, with the growing abundan…
Graph convolutional network as a fast statistical emulator for numerical ice sheet modeling
Maryam Rahnemoonfar, Younghyun Koo
The Ice-sheet and Sea-level System Model (ISSM) provides numerical solutions for ice sheet dynamics using finite element and fine mesh adaption. However, considering ISSM is compat…
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
Jiarong Xu, Renhong Huang, Xin Jiang +4
Pre-training on graph neural networks (GNNs) aims to learn transferable knowledge for downstream tasks with unlabeled data, and it has recently become an active research area. The…