Zhuo Zhang

Orcid: 0000-0002-1835-5411

Affiliations:
  • National University of Defense Technology, Changsha, China


According to our database1, Zhuo Zhang authored at least 37 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Knowledge-Augmented Mutation-Based Bug Localization for Hardware Design Code.
ACM Trans. Archit. Code Optim., September, 2024

ContextAug: model-domain failing test augmentation with contextual information.
Frontiers Comput. Sci., April, 2024

Code-aware fault localization with pre-training and interpretable machine learning.
Expert Syst. Appl., March, 2024

Model-domain failing test augmentation with Generative Adversarial Networks.
Expert Syst. Appl., March, 2024

Correcting Large Language Model Behavior via Influence Function.
CoRR, 2024

Fault Localization from the Semantic Code Search Perspective.
CoRR, 2024

Online Self-Preferring Language Models.
CoRR, 2024

FedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning.
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
Context-Aware Neural Fault Localization.
IEEE Trans. Software Eng., July, 2023

Influential Global and Local Contexts Guided Trace Representation for Fault Localization.
ACM Trans. Softw. Eng. Methodol., May, 2023

Mantra: Mutation Testing of Hardware Design Code Based on Real Bugs.
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

FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP.
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

Improving Fault Localization Using Model-domain Synthesized Failing Test Generation.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

Fault Localization for Hardware Design Code with Time-Aware Program Spectrum.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Federated Model Decomposition with Private Vocabulary for Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Improving deep-learning-based fault localization with resampling.
J. Softw. Evol. Process., 2021

A study of effectiveness of deep learning in locating real faults.
Inf. Softw. Technol., 2021

Machine learning based early mortality prediction in the emergency department.
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

High-Reliability Compilation Optimization Sequence Generation Framework Based ANN.
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
Character Feature Learning for Named Entity Recognition.
IEICE Trans. Inf. Syst., 2018

2017
Deep Learning-Based Fault Localization with Contextual Information.
IEICE Trans. Inf. Syst., 2017

2015
Biped: Bidirectional Prediction of Order Violations.
IEICE Trans. Inf. Syst., 2015

BIFER: a biphasic trace filter approach to scalable prediction of concurrency errors.
Frontiers Comput. Sci., 2015

2014
Enriching Contextual Information for Fault Localization.
IEICE Trans. Inf. Syst., 2014


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