Qiang Hu
Université du Luxembourg
H-index: 10
Europe-Luxembourg
Top articles of Qiang Hu
Test optimization in DNN testing: a survey
ACM Transactions on Software Engineering and Methodology
2018
Enhancing Fault Detection for Large Language Models via Mutation-Based Confidence Smoothing
arXiv preprint arXiv:2404.14419
2024/4/14
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models
IEEE Transactions on Software Engineering
2024/3/13
Importance Guided Data Augmentation for Neural-Based Code Understanding
arXiv preprint arXiv:2402.15769
2024/2/24
On the effectiveness of graph data augmentation for source code learning
Knowledge-Based Systems
2024/2/15
Qiang Hu
H-Index: 5
Jianjun Zhao
H-Index: 19
The scope of chatgpt in software engineering: A thorough investigation
arXiv preprint arXiv:2305.12138
2023/5/20
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment
2023/5/15
Boosting source code learning with data augmentation: An empirical study
arXiv preprint arXiv:2303.06808
2023/3/13
DRE: density-based data selection with entropy for adversarial-robust deep learning models
Neural Computing and Applications
2023/2
A black-box attack on code models via representation nearest Neighbor search
2023
KAPE: kNN-based Performance Testing for Deep Code Search
ACM Transactions on Software Engineering and Methodology
2023/12/21
Label-Efficient Deep Learning Engineering
2023/12/14
Qiang Hu
H-Index: 5
LaF: labeling-free model selection for automated deep neural network reusing
ACM Transactions on Software Engineering and Methodology
2023/7/31
An Empirical Study of the Imbalance Issue in Software Vulnerability Detection
2023/9/25
MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack
2023/9/11
Evaluating the robustness of test selection methods for deep neural networks
arXiv preprint arXiv:2308.01314
2023/7/29
CodeLens: An Interactive Tool for Visualizing Code Representations
arXiv preprint arXiv:2307.14902
2023/7/27
Are Code Pre-trained Models Powerful to Learn Code Syntax and Semantics?
arXiv preprint arXiv:2212.10017
2023/5/8
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing
arXiv preprint arXiv:2210.03123
2022/10/6
MixCode: Enhancing Code Classification by Mixup-Based Data Augmentation
SANER 2023
2022/10/6
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