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09/15/2023
Silent Vulnerability-fixing Commit Identification Based on Graph Neural Networks
The growing dependence of software projects on external libraries has ge...
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09/05/2023
VFFINDER: A Graph-based Approach for Automated Silent Vulnerability-Fix Identification
The increasing reliance of software projects on third-party libraries ha...
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06/26/2023
Can An Old Fashioned Feature Extraction and A Light-weight Model Improve Vulnerability Type Identification Performance?
Recent advances in automated vulnerability detection have achieved poten...
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06/11/2023
ARIST: An Effective API Argument Recommendation Approach
Learning and remembering to use APIs are difficult. Several techniques h...
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04/17/2023
Code-centric Learning-based Just-In-Time Vulnerability Detection
Attacks against computer systems exploiting software vulnerabilities can...
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06/17/2022
TLETA: Deep Transfer Learning and Integrated Cellular Knowledge for Estimated Time of Arrival Prediction
Vehicle arrival time prediction has been studied widely. With the emerge...
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04/25/2022
AI Personification: Estimating the Personality of Language Models
Technology for open-ended language generation, a key application of arti...
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03/21/2022
IoT Data Discovery: Routing Table and Summarization Techniques
In this paper, we consider the IoT data discovery problem in very large ...
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11/23/2021
Three-Way Deep Neural Network for Radio Frequency Map Generation and Source Localization
In this paper, we present a Generative Adversarial Network (GAN) machine...
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09/21/2021
A Variability Fault Localization Approach for Software Product Lines
Software fault localization is one of the most expensive, tedious, and t...
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07/20/2021
Into Summarization Techniques for IoT Data Discovery Routing
In this paper, we consider the IoT data discovery problem in very large ...
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07/10/2021
Variability Fault Localization: A Benchmark
Software fault localization is one of the most expensive, tedious, and t...
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02/16/2021
Improving Bayesian Inference in Deep Neural Networks with Variational Structured Dropout
Approximate inference in deep Bayesian networks exhibits a dilemma of ho...
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10/05/2020
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
Relational regularized autoencoder (RAE) is a framework to learn the dis...
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09/01/2020
Control Framework for a Hybrid-steel Bridge Inspection Robot
Autonomous navigation of steel bridge inspection robots is essential for...
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11/18/2019
Configuration-dependent Fault Localization
In a buggy configurable system, configuration-dependent bugs cause the f...
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11/18/2019
Combining Program Analysis and Statistical Language Model for Code Statement Completion
Automatic code completion helps improve developers' productivity in thei...
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11/18/2019
Feature-Interaction Aware Configuration Prioritization for Configurable Code
Unexpected interactions among features induce most bugs in a configurabl...
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06/12/2019
Does BLEU Score Work for Code Migration?
Statistical machine translation (SMT) is a fast-growing sub-field of com...
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06/08/2019