Network Traffic Prediction Using Variational Mode Decomposition and Multi- Reservoirs Echo State Network. - Ying Han; Yuanwei Jing; Kun Li 031; Georgi M. Dimirovski (IEEE Access, 2019)

Optimization and Decomposition Methods in Network Traffic Prediction Model: A Review and Discussion. - Jinmei Shi; Yu-Beng Leau; Kun Li 031; Yong-Jin Park; Zhiwei Yan (IEEE Access, 2020)

Path planning of UAV for oilfield inspections in a three-dimensional dynamic environment with moving obstacles based on an improved pigeon-inspired optimization algorithm. - Fawei Ge; Kun Li 031; Ying Han; Wensu Xu; Yi'an Wang (Appl. Intell., 2020)

Tracking a dynamic invading target by UAV in oilfield inspection via an improved bat algorithm. - Ying Wang; Kun Li 031; Ying Han; Fawei Ge; Wensu Xu; Liang Liu (Appl. Soft Comput., 2020)

Soft sensor for the moisture content of crude oil based on multi-kernel Gaussian process regression optimized by an adaptive variable population fruit fly optimization algorithm. - Kun Li 031; Wensu Xu; Ying Han; Fawei Ge; Yi'an Wang (Trans. Inst. Meas. Control, 2020)

Optimal Variational Mode Decomposition and Integrated Extreme Learning Machine for Network Traffic Prediction. - Jinmei Shi; Yu-Beng Leau; Kun Li 031; Huandong Chen (IEEE Access, 2021)

SAVE-AS: Accelerating convergence in network traffic prediction through adaptive optimized variational mode decomposition and an integrated extreme learning machine. - Jinmei Shi; Yu-Beng Leau; Kun Li 031 (Int. J. Commun. Syst., 2022)