Zhuo Li

Orcid: 0000-0002-0198-2304

Affiliations:
  • Peking University, Key Laboratory of High Confidence Software Technologies, Beijing, China


According to our database1, Zhuo Li authored at least 18 papers between 2020 and 2025.

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

Timeline

Legend:

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Bibliography

2025
CodeScore: Evaluating Code Generation by Learning Code Execution.
ACM Trans. Softw. Eng. Methodol., March, 2025

Transformer-based code model with compressed hierarchy representation.
Empir. Softw. Eng., March, 2025

2024
WELL: Applying bug detectors to bug localization via weakly supervised learning.
J. Softw. Evol. Process., September, 2024

Poison Attack and Poison Detection on Deep Source Code Processing Models.
ACM Trans. Softw. Eng. Methodol., March, 2024

CodeBERT-Attack: Adversarial attack against source code deep learning models via pre-trained model.
J. Softw. Evol. Process., March, 2024

Deep learning for code generation: a survey.
Sci. China Inf. Sci., 2024

2023
CodeEditor: Learning to Edit Source Code with Pre-trained Models.
ACM Trans. Softw. Eng. Methodol., November, 2023

WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised Learning.
CoRR, 2023

ToolCoder: Teach Code Generation Models to use API search tools.
CoRR, 2023

An Empirical Study of Bugs in Quantum Machine Learning Frameworks.
Proceedings of the IEEE International Conference on Quantum Software, 2023

Implant Global and Local Hierarchy Information to Sequence based Code Representation Models.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

QChecker: Detecting Bugs in Quantum Programs via Static Analysis.
Proceedings of the 4th IEEE/ACM International Workshop on Quantum Software Engineering, 2023

Self-Edit: Fault-Aware Code Editor for Code Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
GBGallery : A benchmark and framework for game testing.
Empir. Softw. Eng., 2022

Poison Attack and Defense on Deep Source Code Processing Models.
CoRR, 2022

2021
A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding.
Proceedings of the 14th IEEE Conference on Software Testing, Verification and Validation, 2021

2020
Few-Shot Guided Mix for DNN Repairing.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Generating Adversarial Examples for Holding Robustness of Source Code Processing Models.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020


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