Chaozheng Wang

According to our database, Chaozheng Wang authored at least 39 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Label-Aware Distribution Calibration for Long-Tailed Classification.

Chaozheng Wang, Shuzheng Gao, Pengyun Wang, Cuiyun Gao, Wenjie Pei, Lujia Pan, Zenglin Xu

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

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

Chaozheng Wang, Shuzheng Gao, Cuiyun Gao, Wenxuan Wang, Chun Yong Chong, Shan Gao, Michael R. Lyu

CoRR, 2024

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

Jia Feng, Jiachen Liu, Cuiyun Gao, Chun Yong Chong, Chaozheng Wang, Shan Gao, Xin Xia

CoRR, 2024

Learning to Ask: When LLMs Meet Unclear Instruction.

Wenxuan Wang, Juluan Shi, Chaozheng Wang, Cheryl Lee, Youliang Yuan, Jen-tse Huang, Michael R. Lyu

CoRR, 2024

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

Yuxuan Wan, Chaozheng Wang, Yi Dong, Wenxuan Wang, Shuqing Li, Yintong Huo, Michael R. Lyu

CoRR, 2024

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

Ruoke Wang, Zongjie Li, Chaozheng Wang, Yang Xiao, Cuiyun Gao

CoRR, 2024

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

Chaozheng Wang, Zongjie Li, Cuiyun Gao, Wenxuan Wang, Ting Peng, Hailiang Huang, Yuetang Deng, Shuai Wang, Michael R. Lyu

CoRR, 2024

Enhancing Efficiency in Sparse Models with Sparser Selection.

Yuanhang Yang, Shiyi Qi, Wenchao Gu, Chaozheng Wang, Cuiyun Gao, Zenglin Xu

CoRR, 2024

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

Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao, Yang Liu

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

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

Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu

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

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

Yuanhang Yang, Shiyi Qi, Wenchao Gu, Chaozheng Wang, Cuiyun Gao, Zenglin Xu

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

Reviewers.

Bowen Zeng, Chaozheng Wang, Chunjiong Zhang, Elena Molino-Peña, Jindong Feng, Lei Gan, Shuzheng Gao, Tao Shi, Xin-Cheng Wen, Yishan Chen, Yuanchao Liu, Yujia Chen, Zhuofeng Zhao, Zhangbing Zhou, Yucong Duan, Shizhan Chen, Guobing Zou, Buqing Cao

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

2023

Prompt Tuning in Code Intelligence: An Experimental Evaluation.

Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu

IEEE Trans. Software Eng., November, 2023

VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models.

Zongjie Li, Chaozheng Wang, Chaowei Liu, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao

CoRR, 2023

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

Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu

CoRR, 2023

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

Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao

CoRR, 2023

Practitioners' Expectations on Code Completion.

Chaozheng Wang, Junhao Hu, Cuiyun Gao, Yu Jin, Tao Xie, Hailiang Huang, Zhenyu Lei, Yuetang Deng

CoRR, 2023

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

Chaozheng Wang, Haochuan Lu, Cuiyun Gao, Zongjie Li, Ting Xiong, Yuetang Deng

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

How Practitioners Expect Code Completion?

Chaozheng Wang, Junhao Hu, Cuiyun Gao, Yu Jin, Tao Xie, Hailiang Huang, Zhenyu Lei, Yuetang Deng

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.

Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu

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

Generative Type Inference for Python.

Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu

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

Predicting Compilation Resources for Adaptive Build in an Industrial Setting.

Junhao Hu, Chaozheng Wang, Hailiang Huang, Huang Luo, Yu Jin, Yuetang Deng, Tao Xie

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

CCTEST: Testing and Repairing Code Completion Systems.

Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Dong Chen, Shuai Wang, Cuiyun Gao

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.

Shuzheng Gao, Hongyu Zhang, Cuiyun Gao, Chaozheng Wang

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.

Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo, Yue Yu

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

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

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.

Zongjie Li, Chaozheng Wang, Shuai Wang, Cuiyun Gao

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

2022

Enriching query semantics for code search with reinforcement learning.

Chaozheng Wang, Zhenhao Nong, Cuiyun Gao, Zongjie Li, Jichuan Zeng, Zhenchang Xing, Yang Liu

Neural Networks, 2022

CCTEST: Testing and Repairing Code Completion Systems.

Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Shuai Wang, Cuiyun Gao

CoRR, 2022

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

Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo

CoRR, 2022

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

Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu

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.

Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu

Neural Networks, 2021

Enriching Query Semantics for Code Search with Reinforcement Learning.

Chaozheng Wang, Zhenghao Nong, Cuiyun Gao, Zongjie Li, Jichuan Zeng, Zhenchang Xing, Yang Liu

CoRR, 2021

2020

Latent Space Factorisation and Manipulation via Matrix Subspace Projection.

Xiao Li, Chenghua Lin, Ruizhe Li, Chaozheng Wang, Frank Guerin

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

SecureMLDebugger: A Privacy-Preserving Machine Learning Debugging Tool.

Peiyi Han, Chaozheng Wang, Chuanyi Liu, Shaoming Duan, Hezhong Pan, Pengshuai Luo

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

2019

Latent Space Factorisation and Manipulation via Matrix Subspace Projection.

Xiao Li, Chenghua Lin, Chaozheng Wang, Frank Guerin

CoRR, 2019

Adapting Everyday Manipulation Skills to Varied Scenarios.

Pawel Gajewski, Paulo Abelha Ferreira, Georg Bartels, Chaozheng Wang, Frank Guerin, Bipin Indurkhya, Michael Beetz, 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.

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.

Shuguang Zhao, Chaozheng Wang, Zidan Wang

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