Sparse Bayesian Harmonic State Estimation. - Ye Yuan 002; Wei Zhou 035; Hai-Tao Zhang; Zuowei Ping; Omid Ardakanian (SmartGridComm, 2018)

Data-driven Discovery of Cyber-Physical Systems. - Ye Yuan 002; Xiuchuan Tang; Wei Pan 004; Xiuting Li; Wei Zhou 035; Hai-Tao Zhang; Han Ding 001; Jorge M. Gonçalves (CoRR, 2018)

Bayesian Learning-Based Harmonic State Estimation in Distribution Systems With Smart Meter and DPMU Data. - Wei Zhou 035; Omid Ardakanian; Hai-Tao Zhang; Ye Yuan 002 (IEEE Trans. Smart Grid, 2020)

Manipulability and Robustness Optimization of the Cable-Driven Redundant Soft Manipulator. - Yi Shen; Yang Hong; Wei Zhou 035; Ruochen Tai; Ye Yuan 002; Han Ding 001 (ROBIO, 2021)

Bregman linearized reweighted alternating minimization for robust sparse recovery. - Jun Li 009; Wei Zhou 035 (Signal Process., 2021)

Sparse Bayesian Learning Based on Collaborative Neurodynamic Optimization. - Wei Zhou 035; Hai-Tao Zhang; Jun Wang 002 (IEEE Trans. Cybern., 2022)

Online Koopman Operator Learning to Identify Cross-Coupling Effect of Piezoelectric Tube Scanners in Atomic Force Microscopes. - Xiang Huang; Wei Zhou 035; Xiuting Li; LiMin Zhu 001; Hai-Tao Zhang (IEEE Trans. Ind. Informatics, 2022)

An Efficient Sparse Bayesian Learning Algorithm Based on Gaussian-Scale Mixtures. - Wei Zhou 035; Hai-Tao Zhang; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Bayesian Approach for Joint Discriminative Dictionary and Classifier Learning. - Wei Zhou 035; Yue Wu; Junlin Li; Maolin Wang; Hai-Tao Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Proximal Alternating Partially Linearized Minimization for Perturbed Compressive Sensing. - Junlin Li; Wei Zhou 035; Xiuting Li (IEEE Trans. Signal Process., 2023)