Second order exponential differential operator and generalized Hermite polynomials. - Zhengyuan Wei; Xinsheng Zhang (Appl. Math. Comput., 2008)

Discontinuous Legendre wavelet Galerkin method for reaction-diffusion equation. - Xiaoyang Zheng; Zhengyuan Wei (Int. J. Comput. Math., 2017)

Discontinuous Legendre wavelet Galerkin method for the generalised Burgers-Fisher equation. - Xiaoyang Zheng; Yong Fu; Zhengyuan Wei (Int. J. Comput. Sci. Math., 2018)

BlockRace: A Big Data Approach to Dynamic Block-based Data Race Detection for Multithreaded Programs. - Xiupei Mei; Zhengyuan Wei; Hao Zhang 085; W. K. Chan 001 (AST@ICSE, 2020)

A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts. - Zhen Yang 022; Jacky Keung; Xiao Yu 008; Xiaodong Gu 002; Zhengyuan Wei; Xiaoxue Ma; Miao Zhang (ICPC, 2021)

Fuzzing Deep Learning Models against Natural Robustness with Filter Coverage‡. - Zhengyuan Wei; W. K. Chan 001 (QRS, 2021)

Execution Repair for Spark Programs by Active Maintenance of Partition Dependency. - Xiupei Mei; Imran Ashraf; Xiaoxue Ma; Hao Zhang 085; Zhengyuan Wei; Haipeng Wang 005; W. K. Chan 001 (IEEE Access, 2021)

SEbox4DL: A Modular Software Engineering Toolbox for Deep Learning Models. - Zhengyuan Wei; Haipeng Wang 005; Zhen Yang 022; W. K. Chan 001 (ICSE-Companion, 2022)

Predictive Mutation Analysis of Test Case Prioritization for Deep Neural Networks. - Zhengyuan Wei; Haipeng Wang 005; Imran Ashraf; W. K. Chan 001 (QRS, 2022)

A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models. - Qilin Zhou; Zhengyuan Wei; Haipeng Wang 005; W. K. Chan 001 (ASE, 2023)

Aster: Encoding Data Augmentation Relations into Seed Test Suites for Robustness Assessment and Fuzzing of Data-Augmented Deep Learning Models. - Haipeng Wang 005; Zhengyuan Wei; Qilin Zhou; Bo Jiang 001; Wing Kwong Chan (QRS, 2023)

Gearbox Compound Fault Diagnosis in Edge-IoT Based on Legendre Multiwavelet Transform and Convolutional Neural Network. - Xiaoyang Zheng; Lei Chen; Chengbo Yu; Zijian Lei; Zhixia Feng; Zhengyuan Wei (Sensors, 2023)

DeepPatch: Maintaining Deep Learning Model Programs to Retain Standard Accuracy with Substantial Robustness Improvement. - Zhengyuan Wei; Haipeng Wang 005; Imran Ashraf; Wing-Kwong Chan (ACM Trans. Softw. Eng. Methodol., 2023)

Toward AI-facilitated Learning Cycle in Integration Course Through Pair Programming with AI Agents. - Zhengyuan Wei; Albert T. L. Lee; Victor C. S. Lee; Wing-Kwong Chan (CSEE&T, 2024)

A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident Failing Samples for Deep Learning Models. - Zhengyuan Wei; Haipeng Wang 005; Qilin Zhou; W. K. Chan 001 (CoRR, 2024)

CrossCert: A Cross-Checking Detection Approach to Patch Robustness Certification for Deep Learning Models. - Qilin Zhou; Zhengyuan Wei; Haipeng Wang 005; Bo Jiang 001; Wing-Kwong Chan (Proc. ACM Softw. Eng., 2024)

AugOracle: In-Capability Raw Input Validation for Deep Learning Models in Deployment. - Zhengyuan Wei (COMPSAC, 2025)

Context-Aware Fuzzing for Robustness Enhancement of Deep Learning Models. - Haipeng Wang 005; Zhengyuan Wei; Qilin Zhou; Wing-Kwong Chan (ACM Trans. Softw. Eng. Methodol., 2025)

Scalable and Precise Patch Robustness Certification for Deep Learning Models with Top-k Predictions. - Qilin Zhou; Haipeng Wang 005; Zhengyuan Wei; Wing-Kwong Chan (CoRR, 2025)