Chaozheng Wang

Orcid: 0000-0002-3935-7328

According to our database1, Chaozheng Wang authored at least 27 papers between 2017 and 2023.

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

Timeline

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Bibliography

2023
Prompt Tuning in Code Intelligence: An Experimental Evaluation.
IEEE Trans. Software Eng., November, 2023

VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models.
CoRR, 2023

Split and Merge: Aligning Position Biases in Large Language Model based Evaluators.
CoRR, 2023

On the Feasibility of Specialized Ability Extracting for Large Language Code Models.
CoRR, 2023

Practitioners' Expectations on Code Completion.
CoRR, 2023

A Unified Framework for Mini-game Testing: Experience on WeChat.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

How Practitioners Expect Code Completion?
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.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Generative Type Inference for Python.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Predicting Compilation Resources for Adaptive Build in an Industrial Setting.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

CCTEST: Testing and Repairing Code Completion Systems.
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.
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.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Protecting Intellectual Property of Large Language Model-Based Code Generation APIs via Watermarks.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022
Enriching query semantics for code search with reinforcement learning.
Neural Networks, 2022

CCTEST: Testing and Repairing Code Completion Systems.
CoRR, 2022

CARBON: A Counterfactual Reasoning based Framework for Neural Code Comprehension Debiasing.
CoRR, 2022

No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence.
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.
Neural Networks, 2021

Label-Aware Distribution Calibration for Long-tailed Classification.
CoRR, 2021

Enriching Query Semantics for Code Search with Reinforcement Learning.
CoRR, 2021

2020
Latent Space Factorisation and Manipulation via Matrix Subspace Projection.
Proceedings of the 37th International Conference on Machine Learning, 2020

SecureMLDebugger: A Privacy-Preserving Machine Learning Debugging Tool.
Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

2019
Latent Space Factorisation and Manipulation via Matrix Subspace Projection.
CoRR, 2019

Adapting Everyday Manipulation Skills to Varied Scenarios.
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.
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.
Proceedings of the 9th International Conference on Computer and Automation Engineering, 2017


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