Jianjun Zhang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Pattern Classification Problems

Top Venues

IEEE Trans. Cybern.

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Ind. Informatics

Publications

Shicong Liu, Xin Ma, Shenyang Deng, Yuanchi Suo, Jianjun Zhang, Wing W. Y. Ng
Lightweight multimodal Cycle-Attention Transformer towards cancer diagnosis. Expert Syst. Appl. 255 (2024)
Ting Wang, Su Lu, Jianjun Zhang, Xuyu Liu, Xing Tian, Wing W. Y. Ng, Wei-neng Chen
SBHA: Sensitive Binary Hashing Autoencoder for Image Retrieval. IEEE Trans. Cybern. 54 (7) (2024)
Ting Wang, Mingyang Zhang, Jianjun Zhang, Wing W. Y. Ng, C. L. Philip Chen
BASS: Broad Network Based on Localized Stochastic Sensitivity. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz
Perturbation-based oversampling technique for imbalanced classification problems. Int. J. Mach. Learn. Cybern. 14 (3) (2023)
Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz
KNNENS: A k-Nearest Neighbor Ensemble-Based Method for Incremental Learning Under Data Stream With Emerging New Classes. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Shuai Zhang, Wing W. Y. Ng, Jianjun Zhang, Chris D. Nugent, Naomi Irvine, Ting Wang
Evaluation of radial basis function neural network minimizing L-GEM for sensor-based activity recognition. J. Ambient Intell. Humaniz. Comput. 14 (1) (2023)
Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Sam Kwong
Stochastic Sensitivity Regularized Autoencoder for Robust Feature Learning. ICCI*CC (2022)
Wing W. Y. Ng, Shichao Xu, Jianjun Zhang, Xing Tian, Tongwen Rong, Sam Kwong
Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems. IEEE Trans. Cybern. 52 (2) (2022)
Xing Tian, Lin Qiu, Qihua Li, Wing W. Y. Ng, Jianjun Zhang, Sam Kwong, Hui Wang, Xinran Dong, Baoyi Liu, Yijun Hu, Honghua Yu
Hashing-based Undersampling for Large Scale Histopathology Image Classification. ICCI*CC (2022)
Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz
Ensembling perturbation-based oversamplers for imbalanced datasets. Neurocomputing 479 (2022)
Wing W. Y. Ng, Zhengxi Liu, Jianjun Zhang, Witold Pedrycz
Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model. Appl. Soft Comput. 104 (2021)
Wing W. Y. Ng, Yuda Zhang, Jianjun Zhang, Debby Dan Wang, Fu Lee Wang
Stochastic Sensitivity Tree Boosting for Imbalanced Prediction Problems of Protein-Ligand Interaction Sites. IEEE Trans. Emerg. Top. Comput. Intell. 5 (3) (2021)
Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Shuai Zhang, Chris D. Nugent
Minority Oversampling Using Sensitivity. IJCNN (2020)
Wing W. Y. Ng, Yuxi Tuo, Jianjun Zhang, Sam Kwong
Training error and sensitivity-based ensemble feature selection. Int. J. Mach. Learn. Cybern. 11 (10) (2020)
Jianjun Zhang, Xuanqun Chen, Wing W. Y. Ng, Chun Sing Lai, Loi Lei Lai
New Appliance Detection for Nonintrusive Load Monitoring. IEEE Trans. Ind. Informatics 15 (8) (2019)
Wing W. Y. Ng, Jianjun Zhang, Chun Sing Lai, Witold Pedrycz, Loi Lei Lai, Xizhao Wang
Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification. IEEE Trans. Ind. Informatics 15 (3) (2019)
Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Shuai Zhang, Chris D. Nugent
Undersampling Near Decision Boundary for Imbalance Problems. ICMLC (2019)
Zhujie Lin, Jianjun Zhang, Wing W. Y. Ng
Imbalanced High-Frequency Number Classification Based on DSUS. ICMLC (2018)
Jianjun Zhang, Wing W. Y. Ng
Stochastic Sensitivity Measure-Based Noise Filtering and Oversampling Method for Imbalanced Classification Problems. SMC (2018)
Ya-Qi Chen, Jianjun Zhang, Wing W. Y. Ng
Loan Default Prediction Using Diversified Sensitivity Undersampling. ICMLC (2018)
Wing W. Y. Ng, Yuda Zhang, Jianjun Zhang
Bsmboost for imbalanced pattern classification problems. SMC (2017)
Tianyu Chen, Ting Wang, Wing W. Y. Ng, Jianjun Zhang
Feature Weighting for RBFNN Based on Genetic Algorithm and Localized Generalization Error Model. iThings/GreenCom/CPSCom/SmartData (2017)
Shuai Zhang, Wing W. Y. Ng, Jianjun Zhang, Chris D. Nugent
Human Activity Recognition Using Radial Basis Function Neural Network Trained via a Minimization of Localized Generalization Error. UCAmI (2017)
Yulin Chai, Jianjun Zhang, Wing W. Y. Ng
Weighted ensemble of Diversified Sensitivity-based undersampling for imbalanced pattern classification problems. ICMLC (2017)