Effects of different base classifiers to Learn++ family algorithms for concept drifting and imbalanced pattern classification problems. - Jing Liao 002; Jianjun Zhang 004; Wing W. Y. Ng (ICMLC, 2016)

Dual autoencoders features for imbalance classification problem. - Wing W. Y. Ng; Guangjun Zeng; Jianjun Zhang 004; Daniel S. Yeung; Witold Pedrycz (Pattern Recognit., 2016)

Weighted ensemble of Diversified Sensitivity-based undersampling for imbalanced pattern classification problems. - Yulin Chai; Jianjun Zhang 004; Wing W. Y. Ng (ICMLC, 2017)

Feature Weighting for RBFNN Based on Genetic Algorithm and Localized Generalization Error Model. - Tianyu Chen; Ting Wang 015; Wing W. Y. Ng; Jianjun Zhang 004 (iThings/GreenCom/CPSCom/SmartData, 2017)

Bsmboost for imbalanced pattern classification problems. - Wing W. Y. Ng; Yuda Zhang; Jianjun Zhang 004 (SMC, 2017)

Human Activity Recognition Using Radial Basis Function Neural Network Trained via a Minimization of Localized Generalization Error. - Shuai Zhang 001; Wing W. Y. Ng; Jianjun Zhang 004; Chris D. Nugent (UCAmI, 2017)

Loan Default Prediction Using Diversified Sensitivity Undersampling. - Ya-Qi Chen; Jianjun Zhang 004; Wing W. Y. Ng (ICMLC, 2018)

Imbalanced High-Frequency Number Classification Based on DSUS. - Zhujie Lin; Jianjun Zhang 004; Wing W. Y. Ng (ICMLC, 2018)

Stochastic Sensitivity Measure-Based Noise Filtering and Oversampling Method for Imbalanced Classification Problems. - Jianjun Zhang 004; Wing W. Y. Ng (SMC, 2018)

Undersampling Near Decision Boundary for Imbalance Problems. - Jianjun Zhang 004; Ting Wang 015; Wing W. Y. Ng; Shuai Zhang 001; Chris D. Nugent (ICMLC, 2019)

Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification. - Wing W. Y. Ng; Jianjun Zhang 004; Chun Sing Lai; Witold Pedrycz; Loi Lei Lai; Xizhao Wang (IEEE Trans. Ind. Informatics, 2019)

New Appliance Detection for Nonintrusive Load Monitoring. - Jianjun Zhang 004; Xuanqun Chen; Wing W. Y. Ng; Chun Sing Lai; Loi Lei Lai (IEEE Trans. Ind. Informatics, 2019)

Minority Oversampling Using Sensitivity. - Jianjun Zhang 004; Ting Wang 015; Wing W. Y. Ng; Witold Pedrycz; Shuai Zhang 001; Chris D. Nugent (IJCNN, 2020)

Training error and sensitivity-based ensemble feature selection. - Wing W. Y. Ng; Yuxi Tuo; Jianjun Zhang 004; Sam Kwong (Int. J. Mach. Learn. Cybern., 2020)

Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model. - Wing W. Y. Ng; Zhengxi Liu; Jianjun Zhang 004; Witold Pedrycz (Appl. Soft Comput., 2021)

Stochastic Sensitivity Tree Boosting for Imbalanced Prediction Problems of Protein-Ligand Interaction Sites. - Wing W. Y. Ng; Yuda Zhang; Jianjun Zhang 004; Debby Dan Wang; Fu Lee Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Hashing-based Undersampling for Large Scale Histopathology Image Classification. - Xing Tian; Lin Qiu; Qihua Li; Wing W. Y. Ng; Jianjun Zhang 004; Sam Kwong; Hui Wang 001; Xinran Dong; Baoyi Liu; Yijun Hu; Honghua Yu (ICCI*CC, 2022)

Stochastic Sensitivity Regularized Autoencoder for Robust Feature Learning. - Jianjun Zhang 004; Ting Wang 015; Wing W. Y. Ng; Witold Pedrycz; Sam Kwong (ICCI*CC, 2022)

Ensembling perturbation-based oversamplers for imbalanced datasets. - Jianjun Zhang 004; Ting Wang 015; Wing W. Y. Ng; Witold Pedrycz (Neurocomputing, 2022)

Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems. - Wing W. Y. Ng; Shichao Xu; Jianjun Zhang 004; Xing Tian; Tongwen Rong; Sam Kwong (IEEE Trans. Cybern., 2022)

LSSED: A Robust Segmentation Network for Inflamed Appendix from CT Images. - Wing W. Y. Ng; Peixin Zheng; Ting Wang 015; Jianjun Zhang 004; Yinhao Liang; Hui Zhou; Dan Liang; Guangming Li; Xinhua Wei (ICASSP, 2023)

Moisture Content Prediction of Sugi Wood Drying Using Deep LSTM AE Minimizing Perturbed Error. - Ting Wang 015; Wing W. Y. Ng; Mingyang Zhang; Xueli Zhang; Jianjun Zhang 004; Mingcong Deng (SMC, 2023)

Evaluation of radial basis function neural network minimizing L-GEM for sensor-based activity recognition. - Shuai Zhang 001; Wing W. Y. Ng; Jianjun Zhang 004; Chris D. Nugent; Naomi Irvine; Ting Wang 015 (J. Ambient Intell. Humaniz. Comput., 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)

Perturbation-based oversampling technique for imbalanced classification problems. - Jianjun Zhang 004; Ting Wang 015; Wing W. Y. Ng; Witold Pedrycz (Int. J. Mach. Learn. Cybern., 2023)

KNNENS: A k-Nearest Neighbor Ensemble-Based Method for Incremental Learning Under Data Stream With Emerging New Classes. - Jianjun Zhang 004; Ting Wang 015; Wing W. Y. Ng; Witold Pedrycz (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization. - Xiliang Yang; Shenyang Deng; Shicong Liu; Yuanchi Suo; Wing W. Y. Ng; Jianjun Zhang 004 (ECML/PKDD (1), 2024)

AOCN: Appendix Object Correction Network Utilizing Relationships Across CT Slices. - Wing W. Y. Ng; Jing Xu; Yinhao Liang; Ting Wang 015; Jianjun Zhang 004; Hui Zhou; Dan Liang; Guangming Li; Xinhua Wei (SMC, 2024)

Lightweight multimodal Cycle-Attention Transformer towards cancer diagnosis. - Shicong Liu; Xin Ma; Shenyang Deng; Yuanchi Suo; Jianjun Zhang 004; Wing W. Y. Ng (Expert Syst. Appl., 2024)

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)

BASS: Broad Network Based on Localized Stochastic Sensitivity. - Ting Wang 015; Mingyang Zhang; Jianjun Zhang 004; Wing W. Y. Ng; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)

SBHA: Sensitive Binary Hashing Autoencoder for Image Retrieval. - Ting Wang 015; Su Lu; Jianjun Zhang 004; Xuyu Liu; Xing Tian; Wing W. Y. Ng; Wei-neng Chen (IEEE Trans. Cybern., 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)

Broad hashing for image retrieval. - Wing W. Y. Ng; Xuyu Liu; Xing Tian; Ting Wang 015; Jianjun Zhang 004; C. L. Philip Chen (Neurocomputing, 2025)

LSSMSD: defending against black-box DNN model stealing based on localized stochastic sensitivity. - Xueli Zhang; Jiale Chen; Qihua Li; Jianjun Zhang 004; Wing W. Y. Ng; Ting Wang 015 (Int. J. Mach. Learn. Cybern., 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)

XRadNet: A Radiomics-Guided Breast Cancer Molecular Subtype Prediction Network With a Radiomics Explanation. - Yinhao Liang; Wenjie Tang; Jianjun Zhang 004; Ting Wang 015; Wing W. Y. Ng; Siyi Chen; Kuiming Jiang; Xinhua Wei; Xinqing Jiang; Yuan Guo (IEEE J. Biomed. Health Informatics, 2025)