Three-dimensional piecewise cloud representation for time series data mining. - Gangquan Si; Kai Zheng; Zhou Zhou 003; Chengjie Pan; Xiang Xu; Kai Qu; Yanbin Zhang (Neurocomputing, 2018)

Robust clustering by identifying the veins of clusters based on kernel density estimation. - Zhou Zhou 003; Gangquan Si; Yanbin Zhang; Kai Zheng (Knowl. Based Syst., 2018)

CMBCF: A Cloud Model Based Hybrid Method for Combining Forecast. - Zhou Zhou 003; Gangquan Si; Kai Zheng; Xiang Xu; Kai Qu; Yanbin Zhang (Appl. Soft Comput., 2019)

A robust clustering algorithm based on the identification of core points and KNN kernel density estimation. - Zhou Zhou 003; Gangquan Si; Haodong Sun; Kai Qu; Weicheng Hou (Expert Syst. Appl., 2022)

Dynamic Attention-Based CVAE-GAN for Pedestrian Trajectory Prediction. - Zhou Zhou 003; Gang Huang 004; Zhaoxin Su; Yongfu Li 001; Wei Hua 002 (IEEE Robotics Autom. Lett., 2023)

Physics-Informed Time-Aware Neural Networks for Industrial Nonintrusive Load Monitoring. - Gang Huang 004; Zhou Zhou 003; Fei Wu 001; Wei Hua 002 (IEEE Trans. Ind. Informatics, 2023)

Adaptive error bounded piecewise linear approximation for time-series representation. - Zhou Zhou 003; Mitra Baratchi; Gangquan Si; Holger H. Hoos; Gang Huang 004 (Eng. Appl. Artif. Intell., 2023)

Graph Neural Networks for multivariate time-series forecasting via learning hierarchical spatiotemporal dependencies. - Zhou Zhou 003; Ronisha Basker; Dit-Yan Yeung (Eng. Appl. Artif. Intell., 2025)

Improving generative trajectory prediction via collision-free modeling and goal scene reconstruction. - Zhaoxin Su; Gang Huang 004; Zhou Zhou 003; Yongfu Li 001; Sanyuan Zhang; Wei Hua 002 (Pattern Recognit. Lett., 2025)

Federated Unilateral-Mutual Learning for Privacy-Preserving Nonintrusive Load Monitoring. - Gang Huang 004; Zhou Zhou 003; Shunbo Lei; Yongfu Li 001; Qiang Yang 004; Chuangxin Guo; Zhiyun Lin (IEEE Trans. Instrum. Meas., 2025)