A deep learning based hybrid method for hourly solar radiation forecasting. - Chun Sing Lai; Cankun Zhong; Keda Pan; Wing W. Y. Ng; Loi Lei Lai (Expert Syst. Appl., 2021)

A stochastic sensitivity-based multi-objective optimization method for short-term wind speed interval prediction. - Xuanqun Chen; Chun Sing Lai; Wing W. Y. Ng; Keda Pan; Loi Lei Lai; Cankun Zhong (Int. J. Mach. Learn. Cybern., 2021)

A Sensitivity-based Pruning Method for Convolutional Neural Networks. - Cankun Zhong; Yang He; Yifei An; Wing W. Y. Ng; Ting Wang 015 (SMC, 2022)

An automatic framework for perioperative risks classification from retinal images of complex congenital heart disease patients. - Wing W. Y. Ng; Haicong Liang; Qingsheng Peng; Cankun Zhong; Xinran Dong; Zhongning Huang; Pingting Zhong; Cong Li; Minghui Xu; Yunxia Sun; Honghua Yu; Xiaohong Yang (Int. J. Mach. Learn. Cybern., 2022)

A Robust Frequency-Domain-Based Graph Adaptive Network for Parkinson's Disease Detection From Gait Data. - Cankun Zhong; Wing W. Y. Ng (IEEE Trans. Multim., 2023)

Robust recurrent neural networks for time series forecasting. - Xueli Zhang; Cankun Zhong; Jianjun Zhang 004; Ting Wang 015; Wing W. Y. Ng (Neurocomputing, 2023)

Multi-object tracking for horse racing. - Wing W. Y. Ng; Xuyu Liu; Xuli Yan; Xing Tian; Cankun Zhong; Sam Kwong (Inf. Sci., 2023)

Improving domain generalization by hybrid domain attention and localized maximum sensitivity. - Wing W. Y. Ng; Qin Zhang; Cankun Zhong; Jianjun Zhang 004 (Neural Networks, 2024)

Robust graph representation learning with asymmetric debiased contrasts. - Wen Li; Wing W. Y. Ng; Hengyou Wang; Jianjun Zhang 004; Cankun Zhong (Expert Syst. Appl., 2025)

Clustering with dynamic bipartite graph learning. - Yun Liang 003; Wang Gao; Qimin Liang; Cankun Zhong; Feiping Nie 001 (Neurocomputing, 2025)

ERMAV: Efficient and Robust Graph Contrastive Learning via Multiadversarial Views Training. - Wen Li; Wing W. Y. Ng; Hengyou Wang; Jianjun Zhang 004; Cankun Zhong; Liang Yang 002 (IEEE Trans. Cybern., 2025)

Dynamic Client Selection for Over-the-Air Federated Learning Network. - Fang Shi; Weiwei Lin 001; Chaoda Peng; Cankun Zhong; Dong Wang; Mingyue Cheng (IEEE Internet Things J., 2025)