Huangzhao Zhang

Orcid: 0000-0002-0324-4591

According to our database1, Huangzhao Zhang authored at least 20 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Large Language Model Unlearning for Source Code.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
A Viable Paradigm of Software Automation: Iterative End-to-End Automated Software Development.
CoRR, November, 2025

Large Language Model-Aware In-Context Learning for Code Generation.
ACM Trans. Softw. Eng. Methodol., September, 2025

StackTrans: From Large Language Model to Large Pushdown Automata Model.
CoRR, July, 2025

Computational Thinking Reasoning in Large Language Models.
CoRR, June, 2025

SEAlign: Alignment Training for Software Engineering Agent.
CoRR, March, 2025

Recursive Transformer: Boosting Reasoning Ability with State Stack.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

HiRoPE: Length Extrapolation for Code Models.
CoRR, 2024

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

HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Large Language Model-Aware In-Context Learning for Code Generation.
CoRR, 2023

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

2022
Towards Robustness of Deep Program Processing Models - Detection, Estimation, and Enhancement.
ACM Trans. Softw. Eng. Methodol., 2022

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

Learning to represent programs with heterogeneous graphs.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

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

2019
Generating Fluent Adversarial Examples for Natural Languages.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019


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