Research on the Propagation of Defects in Assembly Process Based on SIR Epidemic Model. - Mengyao Wu; Wei Dai 005; Yu Zhao 003 (ICPHM, 2019)

The Analysis of Defect Emergence in Assembly Process Based on the Discrete-Time SIRS Model. - Mengyao Wu; Wei Dai 005; Yubing Huang; Yu Zhao 003 (IEEE Access, 2019)

The Method for Risk Evaluation in Assembly Process based on the Discrete-Time SIRS Epidemic Model and Information Entropy. - Mengyao Wu; Wei Dai 005; Zhiyuan Lu; Yu Zhao 003; Meiqing Wang (Entropy, 2019)

A recovery-based a posteriori error estimator of the weak Galerkin finite element method for elliptic problems. - Ying Liu; Gang Wang; Mengyao Wu; Yufeng Nie (J. Comput. Appl. Math., 2022)

Application of machine learning missing data imputation techniques in clinical decision making: taking the discharge assessment of patients with spontaneous supratentorial intracerebral hemorrhage as an example. - Huimin Wang; Jianxiang Tang; Mengyao Wu; Xiaoyu Wang; Tao Zhang (BMC Medical Informatics Decis. Mak., 2022)

Intelligence Networking for Autonomous Driving in Beyond 5G Networks With Multi-Access Edge Computing. - Mengyao Wu; F. Richard Yu; Peter Xiaoping Liu (IEEE Trans. Veh. Technol., 2022)

PID Control Using Quantized State Systems in RT-DEVS Frameworks. - Mahya Shahmohammadimehrjardi; Gabriel A. Wainer; Mengyao Wu; Xinrui Zhang (ANNSIM, 2023)

Modeling and Multilevel Design Optimization of an AC-DC Three-Degree-of-Freedom Hybrid Magnetic Bearing. - Mengyao Wu; Huangqiu Zhu; Hao Zhang; Weiyu Zhang (IEEE Trans. Ind. Electron., 2023)

A Hybrid Driving Decision-Making System Integrating Markov Logic Networks and Connectionist AI. - Mengyao Wu; F. Richard Yu; Peter Xiaoping Liu; Ying He 006 (IEEE Trans. Intell. Transp. Syst., 2023)

A Collective and Continuous Rule Learning Framework Towards Enhanced Driving Safety and Decision Transparency. - Mengyao Wu; F. Richard Yu; Peter Xiaoping Liu (IEEE Trans. Veh. Technol., 2024)

FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation. - Dong Zhao; Jinlong Li 003; Shuang Wang 001; Mengyao Wu; Qi Zang; Nicu Sebe; Zhun Zhong (CVPR, 2025)

Facilitating Autonomous Driving Tasks With Large Language Models. - Mengyao Wu; F. Richard Yu; Peter Xiaoping Liu; Ying He 006 (IEEE Intell. Syst., 2025)

SG-CLR: Semantic representation-guided contrastive learning for self-supervised skeleton-based action recognition. - Ruyi Liu; Yi Liu; Mengyao Wu; Wentian Xin; Qiguang Miao; Xiangzeng Liu; Long Li 005 (Pattern Recognit., 2025)

Adaptive Pitfall: Exploring the Effectiveness of Adaptation in Skeleton-Based Action Recognition. - Qiguang Miao; Wentian Xin; Ruyi Liu; Yi Liu; Mengyao Wu; Cheng Shi 002; Chi-Man Pun (IEEE Trans. Multim., 2025)

A Logical Reasoning Network for High-Order Complementary Cloud API Recommendation. - Zhen Chen 007; Denghui Xie; Mengyao Wu; Yueshen Xu; Dianlong You (IEEE Trans. Serv. Comput., 2025)

Correction is all you need: Towards high-order complementary cloud API recommendation correction with abductive reasoning. - Zhen Chen 007; Haonan Liao; Jingkun Yang; Mengyao Wu; Dianlong You (Future Gener. Comput. Syst., 2026)