Reversible Logic Synthesis Method based on Genetic Algorithm and its CUDA Parallel Implementation. - Shuguang Zhao; Chaozheng Wang; Zidan Wang (ICCAE, 2017)

Design and Implementation of an Improved GEP Algorithm for Synthesis of Reversible Logic Circuits. - Shuguang Zhao; Chaozheng Wang; Kaixiang Xia (ICCAE, 2017)

Adapting Everyday Manipulation Skills to Varied Scenarios. - Pawel Gajewski; Paulo Abelha Ferreira; Georg Bartels; Chaozheng Wang; Frank Guerin; Bipin Indurkhya; Michael Beetz; Bartlomiej Sniezynski (ICRA, 2019)

Latent Space Factorisation and Manipulation via Matrix Subspace Projection. - Xiao Li; Chenghua Lin; Chaozheng Wang; Frank Guerin (CoRR, 2019)

SecureMLDebugger: A Privacy-Preserving Machine Learning Debugging Tool. - Peiyi Han; Chaozheng Wang; Chuanyi Liu; Shaoming Duan; Hezhong Pan; Pengshuai Luo (DSC, 2020)

Latent Space Factorisation and Manipulation via Matrix Subspace Projection. - Xiao Li; Chenghua Lin; Ruizhe Li 001; Chaozheng Wang; Frank Guerin (ICML, 2020)

Enriching Query Semantics for Code Search with Reinforcement Learning. - Chaozheng Wang; Zhenghao Nong; Cuiyun Gao 001; Zongjie Li; Jichuan Zeng; Zhenchang Xing; Yang Liu 003 (CoRR, 2021)

CRaDLe: Deep code retrieval based on semantic Dependency Learning. - Wenchao Gu; Zongjie Li; Cuiyun Gao 001; Chaozheng Wang; Hongyu Zhang 002; Zenglin Xu; Michael R. Lyu (Neural Networks, 2021)

No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence. - Chaozheng Wang; Yuanhang Yang; Cuiyun Gao 001; Yun Peng 003; Hongyu Zhang 002; Michael R. Lyu (ESEC/SIGSOFT FSE, 2022)

CARBON: A Counterfactual Reasoning based Framework for Neural Code Comprehension Debiasing. - Shuzheng Gao; Cuiyun Gao 001; Chaozheng Wang; Jun Sun 001; David Lo 001 (CoRR, 2022)

CCTEST: Testing and Repairing Code Completion Systems. - Zongjie Li; Chaozheng Wang; Zhibo Liu; Haoxuan Wang; Shuai Wang 011; Cuiyun Gao 001 (CoRR, 2022)

Enriching query semantics for code search with reinforcement learning. - Chaozheng Wang; Zhenhao Nong; Cuiyun Gao 001; Zongjie Li; Jichuan Zeng; Zhenchang Xing; Yang Liu 003 (Neural Networks, 2022)

Protecting Intellectual Property of Large Language Model-Based Code Generation APIs via Watermarks. - Zongjie Li; Chaozheng Wang; Shuai Wang 011; Cuiyun Gao 001 (CCS, 2023)

An Efficient Multi-view Stereo Reconstruction Method Based On MA-MVSNet. - Xiaoyan Zhang; Hao Shi; Chaozheng Wang (EITCE, 2023)

Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension. - Shuzheng Gao; Cuiyun Gao 001; Chaozheng Wang; Jun Sun 001; David Lo 001; Yue Yu 001 (ICSE, 2023)

Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models. - Shuzheng Gao; Hongyu Zhang 002; Cuiyun Gao 001; Chaozheng Wang (ICSE, 2023)

CCTEST: Testing and Repairing Code Completion Systems. - Zongjie Li; Chaozheng Wang; Zhibo Liu; Haoxuan Wang; Dong Chen; Shuai Wang 011; Cuiyun Gao 001 (ICSE, 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 001 (ASE, 2023)

Generative Type Inference for Python. - Yun Peng 003; Chaozheng Wang; Wenxuan Wang 001; Cuiyun Gao 001; Michael R. Lyu (ASE, 2023)

REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. - Chaozheng Wang; Zongjie Li; Yun Peng 003; Shuzheng Gao; Sirong Chen; Shuai Wang 011; Cuiyun Gao 001; Michael R. Lyu (ASE, 2023)

How Practitioners Expect Code Completion? - Chaozheng Wang; Junhao Hu; Cuiyun Gao 001; Yu Jin; Tao Xie 001; Hailiang Huang; Zhenyu Lei; Yuetang Deng (ESEC/SIGSOFT FSE, 2023)

A Unified Framework for Mini-game Testing: Experience on WeChat. - Chaozheng Wang; Haochuan Lu; Cuiyun Gao 001; Zongjie Li; Ting Xiong; Yuetang Deng (ESEC/SIGSOFT FSE, 2023)

Practitioners' Expectations on Code Completion. - Chaozheng Wang; Junhao Hu; Cuiyun Gao 001; Yu Jin; Tao Xie 001; Hailiang Huang; Zhenyu Lei; Yuetang Deng (CoRR, 2023)

On the Feasibility of Specialized Ability Extracting for Large Language Code Models. - Zongjie Li; Chaozheng Wang; Pingchuan Ma 004; Chaowei Liu; Shuai Wang 011; Daoyuan Wu; Cuiyun Gao 001 (CoRR, 2023)

Split and Merge: Aligning Position Biases in Large Language Model based Evaluators. - Zongjie Li; Chaozheng Wang; Pingchuan Ma 004; Daoyuan Wu; Shuai Wang 011; Cuiyun Gao 001; Yang Liu 003 (CoRR, 2023)

VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models. - Zongjie Li; Chaozheng Wang; Chaowei Liu; Pingchuan Ma 004; Daoyuan Wu; Shuai Wang 011; Cuiyun Gao 001 (CoRR, 2023)

Prompt Tuning in Code Intelligence: An Experimental Evaluation. - Chaozheng Wang; Yuanhang Yang; Cuiyun Gao 001; Yun Peng 003; Hongyu Zhang 002; Michael R. Lyu (IEEE Trans. Software Eng., 2023)

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; et al. (SSE, 2024)

XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection. - Yuanhang Yang; Shiyi Qi; Wenchao Gu; Chaozheng Wang; Cuiyun Gao 001; Zenglin Xu (ACL (Findings), 2024)

Split and Merge: Aligning Position Biases in LLM-based Evaluators. - Zongjie Li; Chaozheng Wang; Pingchuan Ma 004; Daoyuan Wu; Shuai Wang 011; Cuiyun Gao 001; Yang Liu 003 (EMNLP, 2024)

On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study. - Zongjie Li; Chaozheng Wang; Pingchuan Ma 004; Chaowei Liu; Shuai Wang 011; Daoyuan Wu; Cuiyun Gao 001; Yang Liu 003 (ICSE, 2024)

ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code. - Jia Feng; Jiachen Liu; Cuiyun Gao 001; Chun Yong Chong; Chaozheng Wang; Shan Gao; Xin Xia 001 (ASE, 2024)

A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How. - Chaozheng Wang; Shuzheng Gao; Cuiyun Gao 001; Wenxuan Wang 001; Chun Yong Chong; Shan Gao; Michael R. Lyu (ASE, 2024)

Enhancing Efficiency in Sparse Models with Sparser Selection. - Yuanhang Yang; Shiyi Qi; Wenchao Gu; Chaozheng Wang; Cuiyun Gao 001; Zenglin Xu (CoRR, 2024)

Exploring Multi-Lingual Bias of Large Code Models in Code Generation. - Chaozheng Wang; Zongjie Li; Cuiyun Gao 001; Wenxuan Wang 001; Ting Peng; Hailiang Huang; Yuetang Deng; Shuai Wang 011; 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)

Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach. - Yuxuan Wan; Chaozheng Wang; Yi Dong; Wenxuan Wang 001; Shuqing Li 001; Yintong Huo; Michael R. Lyu (CoRR, 2024)

Learning to Ask: When LLMs Meet Unclear Instruction. - Wenxuan Wang 001; Juluan Shi; Chaozheng Wang; Cheryl Lee; Youliang Yuan; Jen-tse Huang 001; Michael R. Lyu (CoRR, 2024)

Label-Aware Distribution Calibration for Long-Tailed Classification. - Chaozheng Wang; Shuzheng Gao; Pengyun Wang; Cuiyun Gao 001; Wenjie Pei; Lujia Pan; Zenglin Xu (IEEE Trans. Neural Networks Learn. Syst., 2024)

IDInit: A Universal and Stable Initialization Method for Neural Network Training. - Yu Pan 005; Chaozheng Wang; Zekai Wu; Qifan Wang 001; Min Zhang 014; Zenglin Xu (ICLR, 2025)

RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry. - Chaozheng Wang; Zezhou Yang; Shuzheng Gao; Cuiyun Gao 001; Ting Peng; Hailiang Huang; Yuetang Deng; Michael R. Lyu (SIGSOFT FSE Companion, 2025)

Improving long-tail classification via decoupling and regularisation. - Shuzheng Gao; Chaozheng Wang; Cuiyun Gao 001; Wenjian Luo; Peiyi Han; Qing Liao 001; Guandong Xu (CAAI Trans. Intell. Technol., 2025)

Divide-and-Conquer: Generating UI Code from Screenshots. - Yuxuan Wan; Chaozheng Wang; Yi Dong; Wenxuan Wang 001; Shuqing Li 001; Yintong Huo; Michael R. Lyu (Proc. ACM Softw. Eng., 2025)

Beyond PEFT: Layer-Wise Optimization for More Effective and Efficient Large Code Model Tuning. - Chaozheng Wang; Jia Feng; Shuzheng Gao; Cuiyun Gao 001; Zongjie Li; Ting Peng; Hailiang Huang; Yuetang Deng; Michael R. Lyu (Proc. ACM Softw. Eng., 2025)

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation. - Shuzheng Gao; Chaozheng Wang; Cuiyun Gao 001; Xiaoqian Jiao; Chun Yong Chong; Shan Gao; Michael R. Lyu (CoRR, 2025)

How Should I Build A Benchmark? Revisiting Code-Related Benchmarks For LLMs. - Jialun Cao; Yuk-Kit Chan; Zixuan Ling; Wenxuan Wang 001; Shuqing Li 001; Mingwei Liu 002; Ruixi Qiao; Yuting Han; Chaozheng Wang; Boxi Yu; Pinjia He; Shuai Wang 011; et al. (CoRR, 2025)

CODECRASH: Stress Testing LLM Reasoning under Structural and Semantic Perturbations. - Man Ho Lam; Chaozheng Wang; Jen-tse Huang 001; Michael R. Lyu (CoRR, 2025)

UMoE: Unifying Attention and FFN with Shared Experts. - Yuanhang Yang; Chaozheng Wang; Jing Li (CoRR, 2025)

Position Paper: Programming Language Techniques for Bridging LLM Code Generation Semantic Gaps. - Yalong Du; Chaozheng Wang; Huaijin Wang 001 (CoRR, 2025)

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat. - Zezhou Yang; Ting Peng; Cuiyun Gao 001; Chaozheng Wang; Hailiang Huang; Yuetang Deng (CoRR, 2025)

JSidentify-V2: Leveraging Dynamic Memory Fingerprinting for Mini-Game Plagiarism Detection. - Zhihao Li; Chaozheng Wang; Zongjie Li; Xinyong Peng; Qun Xia; Haochuan Lu; Ting Xiong; Shuzheng Gao; Cuiyun Gao 001; Shuai Wang 011; Yuetang Deng; Huafeng Ma (CoRR, 2025)