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08/20/2023
Demystifying the Performance of Data Transfers in High-Performance Research Networks
High-speed research networks are built to meet the ever-increasing needs...
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07/27/2023
StubCoder: Automated Generation and Repair of Stub Code for Mock Objects
Mocking is an essential unit testing technique for isolating the class u...
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03/31/2023
Differentially Private Stream Processing at Scale
We design, to the best of our knowledge, the first differentially privat...
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04/04/2022
Experimental quantum adversarial learning with programmable superconducting qubits
Quantum computing promises to enhance machine learning and artificial in...
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03/31/2022
SimPO: Simultaneous Prediction and Optimization
Many machine learning (ML) models are integrated within the context of a...
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05/29/2021
SMURF: Efficient and Scalable Metadata Access for Distributed Applications
In parallel with big data processing and analysis dominating the usage o...
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05/10/2021
An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery
Semantic segmentation is an essential part of deep learning. In recent y...
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03/30/2021
Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing
Tensor-based methods have been widely studied to attack inverse problems...
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03/12/2021
Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representations
Hyperspectral imaging measures the amount of electromagnetic energy acro...
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10/07/2020
SLCRF: Subspace Learning with Conditional Random Field for Hyperspectral Image Classification
Subspace learning (SL) plays an important role in hyperspectral image (H...
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08/06/2020
Graph Convolutional Networks for Hyperspectral Image Classification
Convolutional neural networks (CNNs) have been attracting increasing att...
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07/28/2020
Coupled Convolutional Neural Network with Adaptive Response Function Learning for Unsupervised Hyperspectral Super-Resolution
Due to the limitations of hyperspectral imaging systems, hyperspectral i...
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07/28/2020
Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning
Extensive attention has been widely paid to enhance the spatial resoluti...
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06/18/2020
Automated Radiological Report Generation For Chest X-Rays With Weakly-Supervised End-to-End Deep Learning
The chest X-Ray (CXR) is the one of the most common clinical exam used t...
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08/09/2019
A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning
The land-use map is an important data that can reflect the use and trans...
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12/05/2018
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions
Named entity discovery and linking is the fundamental and core component...
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02/08/2018
Learning to score the figure skating sports videos
This paper targets at learning to score the figure skating sports videos...
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02/08/2018
