Chaozheng Wang

Orcid: 0000-0002-3935-7328

According to our database¹, Chaozheng Wang authored at least 65 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

SPVR: syntax-to-prompt vulnerability repair based on large language models.

[BibT_eX]

[DOI]

Autom. Softw. Eng., June, 2026

Cascaded Code Editing: Large-Small Model Collaboration for Effective and Efficient Code Editing.

[BibT_eX]

[DOI]

CoRR, April, 2026

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation.

[BibT_eX]

[DOI]

CoRR, April, 2026

SAGE: A Service Agent Graph-guided Evaluation Benchmark.

[BibT_eX]

[DOI]

CoRR, April, 2026

Dependency-Guided Repository-Level C-to-Rust Translation with Reinforcement Alignment.

[BibT_eX]

[DOI]

CoRR, April, 2026

WARBENCH: A Comprehensive Benchmark for Evaluating LLMs in Military Decision-Making.

[BibT_eX]

[DOI]

CoRR, March, 2026

Reinforcing Real-world Service Agents: Balancing Utility and Cost in Task-oriented Dialogue.

[BibT_eX]

[DOI]

CoRR, February, 2026

SEAD: Self-Evolving Agent for Multi-Turn Service Dialogue.

[BibT_eX]

[DOI]

CoRR, February, 2026

2025

TREAT: A Code LLMs Trustworthiness / Reliability Evaluation and Testing Framework.

[BibT_eX]

[DOI]

CoRR, October, 2025

SEER: Enhancing Chain-of-Thought Code Generation through Self-Exploring Deep Reasoning.

[BibT_eX]

[DOI]

CoRR, October, 2025

REPAIR: Robust Editing via Progressive Adaptive Intervention and Reintegration.

[BibT_eX]

[DOI]

CoRR, October, 2025

JSProtect: A Scalable Obfuscation Framework for Mini-Games in WeChat.

[BibT_eX]

[DOI]

CoRR, September, 2025

Position Paper: Programming Language Techniques for Bridging LLM Code Generation Semantic Gaps.

[BibT_eX]

[DOI]

Yalong Du

Chaozheng Wang

Huaijin Wang

CoRR, July, 2025

UMoE: Unifying Attention and FFN with Shared Experts.

[BibT_eX]

[DOI]

Yuanhang Yang

Chaozheng Wang

Jing Li

CoRR, May, 2025

CODECRASH: Stress Testing LLM Reasoning under Structural and Semantic Perturbations.

[BibT_eX]

[DOI]

CoRR, April, 2025

How Should I Build A Benchmark? Revisiting Code-Related Benchmarks For LLMs.

[BibT_eX]

[DOI]

CoRR, January, 2025

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation.

[BibT_eX]

[DOI]

CoRR, January, 2025

Beyond PEFT: Layer-Wise Optimization for More Effective and Efficient Large Code Model Tuning.

[BibT_eX]

[DOI]

Proc. ACM Softw. Eng., 2025

Divide-and-Conquer: Generating UI Code from Screenshots.

[BibT_eX]

[DOI]

Proc. ACM Softw. Eng., 2025

Improving long-tail classification via decoupling and regularisation.

[BibT_eX]

[DOI]

CAAI Trans. Intell. Technol., 2025

RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

JSidentify-V2: Leveraging Dynamic Memory Fingerprinting for Mini-Game Plagiarism Detection.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Automated Prompt Generation for Code Intelligence: An Empirical study and Experience in WeChat.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2025

IDInit: A Universal and Stable Initialization Method for Neural Network Training.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Learning to Ask: When LLM Agents Meet Unclear Instruction.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Label-Aware Distribution Calibration for Long-Tailed Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Learning to Ask: When LLMs Meet Unclear Instruction.

[BibT_eX]

[DOI]

CoRR, 2024

Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach.

[BibT_eX]

[DOI]

CoRR, 2024

NAVRepair: Node-type Aware C/C++ Code Vulnerability Repair.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring Multi-Lingual Bias of Large Code Models in Code Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Efficiency in Sparse Models with Sparser Selection.

[BibT_eX]

[DOI]

CoRR, 2024

A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study.

[BibT_eX]

[DOI]

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Split and Merge: Aligning Position Biases in LLM-based Evaluators.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Reviewers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Services Engineering, 2024

2023

Prompt Tuning in Code Intelligence: An Experimental Evaluation.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., November, 2023

VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models.

[BibT_eX]

[DOI]

CoRR, 2023

Split and Merge: Aligning Position Biases in Large Language Model based Evaluators.

[BibT_eX]

[DOI]

CoRR, 2023

On the Feasibility of Specialized Ability Extracting for Large Language Code Models.

[BibT_eX]

[DOI]

CoRR, 2023

Practitioners' Expectations on Code Completion.

[BibT_eX]

[DOI]

CoRR, 2023

A Unified Framework for Mini-game Testing: Experience on WeChat.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

How Practitioners Expect Code Completion?

[BibT_eX]

[DOI]

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Generative Type Inference for Python.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Predicting Compilation Resources for Adaptive Build in an Industrial Setting.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

CCTEST: Testing and Repairing Code Completion Systems.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

An Efficient Multi-view Stereo Reconstruction Method Based On MA-MVSNet.

[BibT_eX]

[DOI]

Xiaoyan Zhang

Hao Shi

Chaozheng Wang

Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering, 2023

Protecting Intellectual Property of Large Language Model-Based Code Generation APIs via Watermarks.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Enriching query semantics for code search with reinforcement learning.

[BibT_eX]

[DOI]

Neural Networks, 2022

CCTEST: Testing and Repairing Code Completion Systems.

[BibT_eX]

[DOI]

CoRR, 2022

CARBON: A Counterfactual Reasoning based Framework for Neural Code Comprehension Debiasing.

[BibT_eX]

[DOI]

CoRR, 2022

No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

2021

CRaDLe: Deep code retrieval based on semantic Dependency Learning.

[BibT_eX]

[DOI]

Neural Networks, 2021

Enriching Query Semantics for Code Search with Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Latent Space Factorisation and Manipulation via Matrix Subspace Projection.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

SecureMLDebugger: A Privacy-Preserving Machine Learning Debugging Tool.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

2019

Latent Space Factorisation and Manipulation via Matrix Subspace Projection.

[BibT_eX]

[DOI]

CoRR, 2019

Adapting Everyday Manipulation Skills to Varied Scenarios.

[BibT_eX]

[DOI]

Pawel Gajewski

Paulo Abelha Ferreira

Bartlomiej Sniezynski

Proceedings of the International Conference on Robotics and Automation, 2019

2017

Design and Implementation of an Improved GEP Algorithm for Synthesis of Reversible Logic Circuits.

[BibT_eX]

[DOI]

Shuguang Zhao

Chaozheng Wang

Kaixiang Xia

Proceedings of the 9th International Conference on Computer and Automation Engineering, 2017

Reversible Logic Synthesis Method based on Genetic Algorithm and its CUDA Parallel Implementation.

[BibT_eX]

[DOI]

Shuguang Zhao

Chaozheng Wang

Zidan Wang

Proceedings of the 9th International Conference on Computer and Automation Engineering, 2017

Chaozheng Wang

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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