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08/21/2023
Large Language Models for Software Engineering: A Systematic Literature Review
Large Language Models (LLMs) have significantly impacted numerous domain...
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08/10/2023
Deep Semantic Graph Matching for Large-scale Outdoor Point Clouds Registration
The current point cloud registration methods are mainly based on geometr...
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07/24/2023
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues
In this paper, we systematically study the quality of 4,066 ChatGPT-gene...
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06/17/2023
Breaking On-device Training Memory Wall: A Systematic Survey
On-device training has become an increasingly popular approach to machin...
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05/31/2023
Data Augmentation Approaches for Source Code Models: A Survey
The increasingly popular adoption of source code in many critical tasks ...
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05/02/2023
Transfer Visual Prompt Generator across LLMs
While developing a new vision-language LLM (VL-LLM) by pre-training on t...
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04/07/2023
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition
Due to Synthetic Aperture Radar (SAR) imaging characteristics, SAR vehic...
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12/23/2022
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection
Graph neural networks (GNNs) have received remarkable success in link pr...
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09/07/2021
CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems
Given the success of reinforcement learning (RL) in various domains, it ...
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07/06/2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Graph neural networks (GNNs) integrate deep architectures and topologica...
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03/09/2021
Deep Learning for Android Malware Defenses: a Systematic Literature Review
Malicious applications (especially in the Android platform) are a seriou...
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08/02/2018
Semi-blind source separation with multichannel variational autoencoder
This paper proposes a multichannel source separation method called the m...
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03/20/2018
DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning Systems
Deep learning defines a new data-driven programming paradigm that constr...
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02/22/2018
Tensor Field Networks: Rotation- and Translation-Equivariant Neural Networks for 3D Point Clouds
We introduce tensor field networks, which are locally equivariant to 3D ...
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09/15/2017
