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07/29/2023
Evaluating the Robustness of Test Selection Methods for Deep Neural Networks
Testing deep learning-based systems is crucial but challenging due to th...
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07/27/2023
CodeLens: An Interactive Tool for Visualizing Code Representations
Representing source code in a generic input format is crucial to automat...
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06/02/2023
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models
The costly human effort required to prepare the training data of machine...
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04/10/2023
Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos
The success of the Neural Radiance Fields (NeRFs) for modeling and free-...
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03/13/2023
Boosting Source Code Learning with Data Augmentation: An Empirical Study
The next era of program understanding is being propelled by the use of m...
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11/27/2022
Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification
Occluded person re-identification (ReID) is a challenging problem due to...
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10/06/2022
Enhancing Code Classification by Mixup-Based Data Augmentation
Recently, deep neural networks (DNNs) have been widely applied in progra...
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10/06/2022
Enhancing Mixup-Based Graph Learning for Language Processing via Hybrid Pooling
Graph neural networks (GNNs) have recently been popular in natural langu...
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07/22/2022
Efficient Testing of Deep Neural Networks via Decision Boundary Analysis
Deep learning plays a more and more important role in our daily life due...
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06/12/2022
Preprocessing Enhanced Image Compression for Machine Vision
Recently, more and more images are compressed and sent to the back-end d...
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06/11/2022
CodeS: A Distribution Shift Benchmark Dataset for Source Code Learning
Over the past few years, deep learning (DL) has been continuously expand...
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04/08/2022
Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment
Deep Neural Networks (DNNs) have gained considerable attention in the pa...
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04/08/2022
Labeling-Free Comparison Testing of Deep Learning Models
Various deep neural networks (DNNs) are developed and reported for their...
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03/14/2022
WCL-BBCD: A Contrastive Learning and Knowledge Graph Approach to Named Entity Recognition
Named Entity Recognition task is one of the core tasks of information ex...
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02/16/2022
An efficient distributed scheduling algorithm for relay-assisted mmWave backhaul networks
In this paper, a novel distributed scheduling algorithm is proposed, whi...
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02/14/2022
GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges
Color fundus photography and Optical Coherence Tomography (OCT) are the ...
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02/11/2022
Towards the Maximum Traffic Demand and Throughput Supported by Relay-Assisted mmWave Backhaul Networks
This paper investigates the throughput performance issue of the relay-as...
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12/05/2021
Robust Active Learning: Sample-Efficient Training of Robust Deep Learning Models
Active learning is an established technique to reduce the labeling cost ...
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12/02/2021
GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses
Code embedding is a keystone in the application of machine learning on s...
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09/27/2021
MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles
Deep Neural Networks (DNNs) are vulnerable to adversarial examples, whic...
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02/16/2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
U-Net based convolutional neural networks with deep feature representati...
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10/16/2020
Blockage Type Detection Process in Triangular-wave Topology for mmWave Wireless Backhaul
Due to the rapid densification of small cells in 5G and beyond cellular ...
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08/13/2020
LGNN: a Context-aware Line Segment Detector
We present a novel real-time line segment detection scheme called Line G...
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04/24/2020
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty
Over the past decade, deep learning (DL) has been successfully applied t...
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09/15/2019
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms
Deep Learning (DL) has recently achieved tremendous success. A variety o...
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11/13/2018
An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms
Deep learning (DL) has recently achieved tremendous success in a variety...
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10/31/2018
Nearly-tight bounds on linear regions of piecewise linear neural networks
The developments of deep neural networks (DNN) in recent years have ushe...
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10/10/2018
Secure Deep Learning Engineering: A Software Quality Assurance Perspective
Over the past decades, deep learning (DL) systems have achieved tremendo...
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05/10/2018