Zhuo Zhang
Orcid: 0000-0002-1835-5411Affiliations:
- National University of Defense Technology, Changsha, China
According to our database1,
Zhuo Zhang
authored at least 37 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Time-Aware Spectrum-Based Bug Localization for Hardware Design Code with Data Purification.
ACM Trans. Archit. Code Optim., September, 2024
ACM Trans. Archit. Code Optim., September, 2024
Frontiers Comput. Sci., April, 2024
Expert Syst. Appl., March, 2024
Expert Syst. Appl., March, 2024
CoRR, 2024
FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Influential Global and Local Contexts Guided Trace Representation for Fault Localization.
ACM Trans. Softw. Eng. Methodol., May, 2023
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods.
CoRR, 2022
Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022
Proceedings of the IEEE 40th International Conference on Computer Design, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
J. Softw. Evol. Process., 2021
Inf. Softw. Technol., 2021
Int. J. Medical Informatics, 2021
Peculiar: Smart Contract Vulnerability Detection Based on Crucial Data Flow Graph and Pre-training Techniques.
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021
2020
Enabling Reliability-Driven Optimization Selection with Gate Graph Attention Neural Network.
Int. J. Softw. Eng. Knowl. Eng., 2020
Compilation Optimization Pass Selection Using Gate Graph Attention Neural Network for Reliability Improvement.
IEEE Access, 2020
Proceedings of the 20th IEEE International Conference on Software Quality, 2020
2019
TFIDF-FL: Localizing Faults Using Term Frequency-Inverse Document Frequency and Deep Learning.
IEICE Trans. Inf. Syst., 2019
CNN-FL: An Effective Approach for Localizing Faults using Convolutional Neural Networks.
Proceedings of the 26th IEEE International Conference on Software Analysis, 2019
2018
IEICE Trans. Inf. Syst., 2018
2017
IEICE Trans. Inf. Syst., 2017
2015
BIFER: a biphasic trace filter approach to scalable prediction of concurrency errors.
Frontiers Comput. Sci., 2015
2014
IEICE Trans. Inf. Syst., 2014