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09/17/2023
GAMMA: Revisiting Template-based Automated Program Repair via Mask Prediction
Automated program repair (APR) aims to fix software bugs without human i...
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09/14/2023
Coverage Goal Selector for Combining Multiple Criteria in Search-Based Unit Test Generation
Unit testing is critical to the software development process, ensuring t...
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08/24/2023
Pre-trained Model-based Automated Software Vulnerability Repair: How Far are We?
Various approaches are proposed to help under-resourced security researc...
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07/26/2023
Tracking Anything in High Quality
Visual object tracking is a fundamental video task in computer vision. R...
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06/06/2023
Benchmarking Robustness of AI-enabled Multi-sensor Fusion Systems: Challenges and Opportunities
Multi-Sensor Fusion (MSF) based perception systems have been the foundat...
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06/04/2023
3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic Segmentation on VSPW
In this paper, we introduce 3rd place solution for PVUW2023 VSS track. S...
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04/25/2023
The Generations of Classical Correlations via Quantum Schemes
Suppose two separated parties, Alice and Bob, share a bipartite quantum ...
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03/18/2023
Local-to-Global Panorama Inpainting for Locale-Aware Indoor Lighting Prediction
Predicting panoramic indoor lighting from a single perspective image is ...
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01/29/2023
Boosting Automated Patch Correctness Prediction via Pre-trained Language Model
Automated program repair (APR) aims to fix software bugs automatically w...
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01/09/2023
A Survey of Learning-based Automated Program Repair
Automated program repair (APR) aims to fix software bugs automatically a...
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11/13/2022
Certifying Robustness of Convolutional Neural Networks with Tight Linear Approximation
The robustness of neural network classifiers is becoming important in th...
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08/19/2022
Universally Adaptive Cross-Platform Reinforcement Learning Testing via GUI Image Understanding
With the rapid development of the Internet, more and more applications (...
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08/08/2022
Selectively Combining Multiple Coverage Goals in Search-Based Unit Test Generation
Unit testing is a critical part of software development process, ensurin...
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06/24/2022
PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction
Proteins are essential component of human life and their structures are ...
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04/25/2022
Quantifying Unknown Quantum Entanglement via a Hybrid Quantum-Classical Machine Learning Framework
Quantifying unknown quantum entanglement experimentally is a difficult t...
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02/13/2022
Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction
Lighting prediction from a single image is becoming increasingly importa...
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08/17/2021
Detecting Crowdsourced Test Report Consistency for Mobile Apps with Deep Image Understanding and Text Analysis
Crowdsourced testing, as a distinct testing paradigm, has attracted much...
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07/12/2021
Automated Mobile App Test Script Intent Generation via Image and Code Understanding
Testing is the most direct and effective technique to ensure software qu...
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02/19/2021
Prioritize Crowdsourced Test Reports via Deep Screenshot Understanding
Crowdsourced testing is increasingly dominant in mobile application (app...
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10/19/2020
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
Few-shot Knowledge Graph (KG) completion is a focus of current research,...
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08/13/2020
Graph-Based Fuzz Testing for Deep Learning Inference Engine
Testing deep learning (DL) systems are increasingly crucial as the incre...
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08/12/2020
Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing
The fragmentation problem has extended from Android to different platfor...
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10/08/2019
Software Engineering Practice in the Development of Deep Learning Applications
Deep-Learning(DL) applications have been widely employed to assist in va...
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08/10/2019
Mutation Testing for Ethereum Smart Contract
Smart contract is a special program that manages digital assets on block...
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06/03/2019
NeuralVis: Visualizing and Interpreting Deep Learning Models
Deep Neural Network(DNN) techniques have been prevalent in software engi...
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03/02/2019
DeepGini: Prioritizing Massive Tests to Reduce Labeling Cost
Deep neural network (DNN) based systems have been deployed to assist var...
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08/03/2017
