TextTricker: Loss-based and gradient-based adversarial attacks on text classification models J Xu, Q Du Engineering Applications of Artificial Intelligence 92, 103641, 2020 | 32 | 2020 |
Learning transferable features in meta-learning for few-shot text classification J Xu, Q Du Pattern Recognition Letters 135, 271-278, 2020 | 28 | 2020 |
Software defect prediction and localization with attention-based models and ensemble learning T Zhang, Q Du, J Xu, J Li, X Li 2020 27th Asia-Pacific Software Engineering Conference (APSEC), 81-90, 2020 | 24 | 2020 |
A deep investigation into fasttext J Xu, Q Du 2019 IEEE 21st international conference on high performance computing and …, 2019 | 20 | 2019 |
Adversarial attacks on text classification models using layer‐wise relevance propagation J Xu, Q Du International Journal of Intelligent Systems 35 (9), 1397-1415, 2020 | 15 | 2020 |
Log-based anomaly detection with multi-head scaled dot-product attention mechanism Q Du, L Zhao, J Xu, Y Han, S Zhang Database and Expert Systems Applications: 32nd International Conference …, 2021 | 11 | 2021 |
A requirement-based regression test selection technique in behavior-driven development J Xu, Q Du, X Li 2021 IEEE 45th Annual Computers, Software, and Applications Conference …, 2021 | 9 | 2021 |
A learning-based adjustment model with genetic algorithm of function point estimation J Liu, Q Du, J Xu 2018 IEEE 20th International Conference on High Performance Computing and …, 2018 | 8 | 2018 |
Learning neural networks for text classification by exploiting label relations J Xu, Q Du Multimedia Tools and Applications 79 (31), 22551-22567, 2020 | 7 | 2020 |
Model-Agnostic Local Explanations with Genetic Algorithms for Text Classification. Q Du, J Xu SEKE, 570-575, 2021 | 6 | 2021 |
LWS: a framework for log-based workload simulation in session-based SUT Y Han, Q Du, J Xu, S Zhao, Z Chen, L Cao, K Yin, D Pei Journal of Systems and Software 203, 111735, 2023 | 4 | 2023 |
On the interpretation of convolutional neural networks for text classification J Xu, Q Du ECAI 2020, 2252-2259, 2020 | 3 | 2020 |
Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF. J Li, Q Du, K Shi, Y He, X Wang, J Xu SEKE, 175-174, 2018 | 3 | 2018 |
SUT Y Han, Q Du, J Xu, S Zhao, Z Chen, L Cao, K Yin, D Pei | | 2023 |
Wireless Network Fault Localization via Metric Classification Y Han, Q Du, J Xu 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems …, 2022 | | 2022 |
Towards a Better Understanding of Gradient-Based Explanatory Methods in NLP. Q Du, J Xu SEKE, 576-581, 2021 | | 2021 |
Document-Improved Hierarchical Modular Attention for Event Detection Y Ni, Q Du, J Xu International Conference on Knowledge Science, Engineering and Management …, 2020 | | 2020 |