Jianjun Zhang

According to our database, Jianjun Zhang authored at least 34 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

LSSMSD: defending against black-box DNN model stealing based on localized stochastic sensitivity.

Xueli Zhang, Jiale Chen, Qihua Li, Jianjun Zhang, Wing W. Y. Ng, Ting Wang

Int. J. Mach. Learn. Cybern., March, 2025

Robust graph representation learning with asymmetric debiased contrasts.

Wen Li, Wing W. Y. Ng, Hengyou Wang, Jianjun Zhang, Cankun Zhong

Expert Syst. Appl., 2025

2024

SBHA: Sensitive Binary Hashing Autoencoder for Image Retrieval.

Ting Wang, Su Lu, Jianjun Zhang, Xuyu Liu, Xing Tian, Wing W. Y. Ng, Wei-neng Chen

IEEE Trans. Cybern., July, 2024

BASS: Broad Network Based on Localized Stochastic Sensitivity.

Ting Wang, Mingyang Zhang, Jianjun Zhang, Wing W. Y. Ng, C. L. Philip Chen

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Improving domain generalization by hybrid domain attention and localized maximum sensitivity.

Wing W. Y. Ng, Qin Zhang, Cankun Zhong, Jianjun Zhang

Neural Networks, 2024

Lightweight multimodal Cycle-Attention Transformer towards cancer diagnosis.

Shicong Liu, Xin Ma, Shenyang Deng, Yuanchi Suo, Jianjun Zhang, Wing W. Y. Ng

Expert Syst. Appl., 2024

AOCN: Appendix Object Correction Network Utilizing Relationships Across CT Slices.

Wing W. Y. Ng, Jing Xu, Yinhao Liang, Ting Wang, Jianjun Zhang, Hui Zhou, Dan Liang, Guangming Li, Xinhua Wei

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

KNNENS: A k-Nearest Neighbor Ensemble-Based Method for Incremental Learning Under Data Stream With Emerging New Classes.

Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Perturbation-based oversampling technique for imbalanced classification problems.

Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz

Int. J. Mach. Learn. Cybern., March, 2023

Robust recurrent neural networks for time series forecasting.

Xueli Zhang, Cankun Zhong, Jianjun Zhang, Ting Wang, Wing W. Y. Ng

Neurocomputing, March, 2023

Evaluation of radial basis function neural network minimizing L-GEM for sensor-based activity recognition.

Shuai Zhang, Wing W. Y. Ng, Jianjun Zhang, Chris D. Nugent, Naomi Irvine, Ting Wang

J. Ambient Intell. Humaniz. Comput., 2023

Moisture Content Prediction of Sugi Wood Drying Using Deep LSTM AE Minimizing Perturbed Error.

Ting Wang, Wing W. Y. Ng, Mingyang Zhang, Xueli Zhang, Jianjun Zhang, Mingcong Deng

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

LSSED: A Robust Segmentation Network for Inflamed Appendix from CT Images.

Wing W. Y. Ng, Peixin Zheng, Ting Wang, Jianjun Zhang, Yinhao Liang, Hui Zhou, Dan Liang, Guangming Li, Xinhua Wei

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems.

Wing W. Y. Ng, Shichao Xu, Jianjun Zhang, Xing Tian, Tongwen Rong, Sam Kwong

IEEE Trans. Cybern., 2022

Ensembling perturbation-based oversamplers for imbalanced datasets.

Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz

Neurocomputing, 2022

Stochastic Sensitivity Regularized Autoencoder for Robust Feature Learning.

Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Sam Kwong

Proceedings of the 21st 2022 International Conference on Cognitive Informatics & Cognitive Computing, 2022

Hashing-based Undersampling for Large Scale Histopathology Image Classification.

Xing Tian, Lin Qiu, Qihua Li, Wing W. Y. Ng, Jianjun Zhang, Sam Kwong, Hui Wang, Xinran Dong, Baoyi Liu, Yijun Hu, Honghua Yu

Proceedings of the 21st 2022 International Conference on Cognitive Informatics & Cognitive Computing, 2022

2021

Stochastic Sensitivity Tree Boosting for Imbalanced Prediction Problems of Protein-Ligand Interaction Sites.

Wing W. Y. Ng, Yuda Zhang, Jianjun Zhang, Debby Dan Wang, Fu Lee Wang

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model.

Wing W. Y. Ng, Zhengxi Liu, Jianjun Zhang, Witold Pedrycz

Appl. Soft Comput., 2021

2020

Training error and sensitivity-based ensemble feature selection.

Wing W. Y. Ng, Yuxi Tuo, Jianjun Zhang, Sam Kwong

Int. J. Mach. Learn. Cybern., 2020

Minority Oversampling Using Sensitivity.

Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Shuai Zhang, Chris D. Nugent

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

New Appliance Detection for Nonintrusive Load Monitoring.

Jianjun Zhang, Xuanqun Chen, Wing W. Y. Ng, Chun Sing Lai, Loi Lei Lai

IEEE Trans. Ind. Informatics, 2019

Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification.

Wing W. Y. Ng, Jianjun Zhang, Chun Sing Lai, Witold Pedrycz, Loi Lei Lai, Xizhao Wang

IEEE Trans. Ind. Informatics, 2019

Undersampling Near Decision Boundary for Imbalance Problems.

Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Shuai Zhang, Chris D. Nugent

Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

2018

Stochastic Sensitivity Measure-Based Noise Filtering and Oversampling Method for Imbalanced Classification Problems.

Jianjun Zhang, Wing W. Y. Ng

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Imbalanced High-Frequency Number Classification Based on DSUS.

Zhujie Lin, Jianjun Zhang, Wing W. Y. Ng

Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Loan Default Prediction Using Diversified Sensitivity Undersampling.

Ya-Qi Chen, Jianjun Zhang, Wing W. Y. Ng

Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

2017

Human Activity Recognition Using Radial Basis Function Neural Network Trained via a Minimization of Localized Generalization Error.

Shuai Zhang, Wing W. Y. Ng, Jianjun Zhang, Chris D. Nugent

Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

Bsmboost for imbalanced pattern classification problems.

Wing W. Y. Ng, Yuda Zhang, Jianjun Zhang

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Feature Weighting for RBFNN Based on Genetic Algorithm and Localized Generalization Error Model.

Tianyu Chen, Ting Wang, Wing W. Y. Ng, Jianjun Zhang

Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

Weighted ensemble of Diversified Sensitivity-based undersampling for imbalanced pattern classification problems.

Yulin Chai, Jianjun Zhang, Wing W. Y. Ng

Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

2016

Dual autoencoders features for imbalance classification problem.

Wing W. Y. Ng, Guangjun Zeng, Jianjun Zhang, Daniel S. Yeung, Witold Pedrycz

Pattern Recognit., 2016

Effects of different base classifiers to Learn++ family algorithms for concept drifting and imbalanced pattern classification problems.

Jing Liao, Jianjun Zhang, Wing W. Y. Ng

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016