Towards mobility-rich analysis in ad hoc networks: using contraction, expansion and hybrid models. - Yenliang Lu; Huier Lin; Yajuan Gu; Ahmed Helmy (ICC, 2004)

Synchronization for fractional-order time-delayed memristor-based neural networks with parameter uncertainty. - Yajuan Gu; Yongguang Yu; Hu Wang 001 (J. Frankl. Inst., 2016)

Global attractivity of memristor-based fractional-order neural networks. - Shuo Zhang 002; Yongguang Yu; Yajuan Gu (Neurocomputing, 2017)

Stability and synchronization for Riemann-Liouville fractional-order time-delayed inertial neural networks. - Yajuan Gu; Hu Wang 001; Yongguang Yu (Neurocomputing, 2019)

Projective synchronization for fractional-order memristor-based neural networks with time delays. - Yajuan Gu; Yongguang Yu; Hu Wang 001 (Neural Comput. Appl., 2019)

A Dynamic Virtual Machine Resource Consolidation Strategy Based on a Gray Model and Improved Discrete Particle Swarm Optimization. - Yifan Shao; Qiangqiang Yang; Yajuan Gu; Yong Pan; Yi Zhou; Zi-Ao Zhou (IEEE Access, 2020)

Synchronization for fractional-order discrete-time neural networks with time delays. - Yajuan Gu; Hu Wang 001; Yongguang Yu (Appl. Math. Comput., 2020)

Synchronization for commensurate Riemann-Liouville fractional-order memristor-based neural networks with unknown parameters. - Yajuan Gu; Hu Wang 001; Yongguang Yu (J. Frankl. Inst., 2020)

Stability and synchronization of fractional-order generalized reaction-diffusion neural networks with multiple time delays and parameter mismatch. - Yajuan Gu; Hu Wang 001; Yongguang Yu (Neural Comput. Appl., 2022)

Stability and synchronization of fractional-order reaction-diffusion inertial time-delayed neural networks with parameters perturbation. - Hu Wang 001; Yajuan Gu; Xiaoli Zhang; Yongguang Yu (Neural Networks, 2024)