Jianjun Zhang - RankMe

42 papers B 6Misc 6Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distilled from teacher's Q-neighborhoods. Int. J. Mach. Learn. Cybern. Lei Zhao, Wing W. Y. Ng, Jianjun Zhang, Cankun Zhong
2025	J	`jnl`	A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization. CoRR Xiliang Yang, Shenyang Deng, Shicong Liu, Yuanchi Suo, Wing W. Y. Ng, Jianjun Zhang
2025	J	`jnl`	An Innovative Multisource Teacher Collaborative Framework for Self-Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. Lei Zhao, Wing W. Y. Ng, Jianjun Zhang, Xiguang Wu
2025	J	`jnl`	Broad hashing for image retrieval. Neurocomputing Wing W. Y. Ng, Xuyu Liu, Xing Tian, Ting Wang, Jianjun Zhang, C. L. Philip Chen
2025	B	`conf`	DCED: Deformable Convolutional Encoder-Decoder Network for Inflamed Appendix Segmentation and Classification from CT Images. SMC Wing W. Y. Ng, Peixin Zheng, Yinhao Liang, Ting Wang, Jianjun Zhang, Dan Liang, Hui Zhou, Guangming Li, Xinhua Wei
2025	J	`jnl`	Distillation of ensemble adaptive teacher assistant knowledge. Int. J. Mach. Learn. Cybern. Lei Zhao, Wing W. Y. Ng, Jianjun Zhang
2025	J	`jnl`	ERMAV: Efficient and Robust Graph Contrastive Learning via Multiadversarial Views Training. IEEE Trans. Cybern. Wen Li, Wing W. Y. Ng, Hengyou Wang, Jianjun Zhang, Cankun Zhong, Liang Yang
2025	J	`jnl`	LSSMSD: defending against black-box DNN model stealing based on localized stochastic sensitivity. Int. J. Mach. Learn. Cybern. Xueli Zhang, JiaLe Chen, Qihua Li, Jianjun Zhang, Wing W. Y. Ng, Ting Wang
2025	J	`jnl`	Robust graph representation learning with asymmetric debiased contrasts. Expert Syst. Appl. Wen Li, Wing W. Y. Ng, Hengyou Wang, Jianjun Zhang, Cankun Zhong
2025	J	`jnl`	XRadNet: A Radiomics-Guided Breast Cancer Molecular Subtype Prediction Network With a Radiomics Explanation. IEEE J. Biomed. Health Informatics Yinhao Liang, Wenjie Tang, Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Siyi Chen, Kuiming Jiang, Xinhua Wei, Xinqing Jiang, Yuan Guo
2024	—	`conf`	A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization. ECML/PKDD (1) Xiliang Yang, Shenyang Deng, Shicong Liu, Yuanchi Suo, Wing W. Y. Ng, Jianjun Zhang
2024	B	`conf`	AOCN: Appendix Object Correction Network Utilizing Relationships Across CT Slices. SMC Wing W. Y. Ng, Jing Xu, Yinhao Liang, Ting Wang, Jianjun Zhang, Hui Zhou, Dan Liang, Guangming Li, Xinhua Wei
2024	J	`jnl`	BASS: Broad Network Based on Localized Stochastic Sensitivity. IEEE Trans. Neural Networks Learn. Syst. Ting Wang, Mingyang Zhang, Jianjun Zhang, Wing W. Y. Ng, C. L. Philip Chen
2024	J	`jnl`	Improving domain generalization by hybrid domain attention and localized maximum sensitivity. Neural Networks Wing W. Y. Ng, Qin Zhang, Cankun Zhong, Jianjun Zhang
2024	J	`jnl`	Lightweight multimodal Cycle-Attention Transformer towards cancer diagnosis. Expert Syst. Appl. Shicong Liu, Xin Ma, Shenyang Deng, Yuanchi Suo, Jianjun Zhang, Wing W. Y. Ng
2024	J	`jnl`	SBHA: Sensitive Binary Hashing Autoencoder for Image Retrieval. IEEE Trans. Cybern. Ting Wang, Su Lu, Jianjun Zhang, Xuyu Liu, Xing Tian, Wing W. Y. Ng, Wei-Neng Chen
2023	J	`jnl`	Evaluation of radial basis function neural network minimizing L-GEM for sensor-based activity recognition. J. Ambient Intell. Humaniz. Comput. Shuai Zhang, Wing W. Y. Ng, Jianjun Zhang, Chris D. Nugent, Naomi Irvine, Ting Wang
2023	J	`jnl`	KNNENS: A k-Nearest Neighbor Ensemble-Based Method for Incremental Learning Under Data Stream With Emerging New Classes. IEEE Trans. Neural Networks Learn. Syst. Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz
2023	Misc	`conf`	LSSED: A Robust Segmentation Network for Inflamed Appendix from CT Images. ICASSP Wing W. Y. Ng, Peixin Zheng, Ting Wang, Jianjun Zhang, Yinhao Liang, Hui Zhou, Dan Liang, Guangming Li, Xinhua Wei
2023	B	`conf`	Moisture Content Prediction of Sugi Wood Drying Using Deep LSTM AE Minimizing Perturbed Error. SMC Ting Wang, Wing W. Y. Ng, Mingyang Zhang, Xueli Zhang, Jianjun Zhang, Mingcong Deng
2023	J	`jnl`	Perturbation-based oversampling technique for imbalanced classification problems. Int. J. Mach. Learn. Cybern. Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz
2023	J	`jnl`	Robust recurrent neural networks for time series forecasting. Neurocomputing Xueli Zhang, Cankun Zhong, Jianjun Zhang, Ting Wang, Wing W. Y. Ng
2022	J	`jnl`	Ensembling perturbation-based oversamplers for imbalanced datasets. Neurocomputing Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz
2022	J	`jnl`	Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems. IEEE Trans. Cybern. Wing W. Y. Ng, Shichao Xu, Jianjun Zhang, Xing Tian, Tongwen Rong, Sam Kwong
2022	—	`conf`	Hashing-based Undersampling for Large Scale Histopathology Image Classification. ICCI*CC Xing Tian, Lin Qiu, Qihua Li, Wing W. Y. Ng, Jianjun Zhang, Sam Kwong, Hui Wang, Xinran Dong, Baoyi Liu, Yijun Hu, Honghua Yu
2022	—	`conf`	Stochastic Sensitivity Regularized Autoencoder for Robust Feature Learning. ICCI*CC Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Sam Kwong
2021	J	`jnl`	Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model. Appl. Soft Comput. Wing W. Y. Ng, Zhengxi Liu, Jianjun Zhang, Witold Pedrycz
2021	J	`jnl`	Stochastic Sensitivity Tree Boosting for Imbalanced Prediction Problems of Protein-Ligand Interaction Sites. IEEE Trans. Emerg. Top. Comput. Intell. Wing W. Y. Ng, Yuda Zhang, Jianjun Zhang, Debby Dan Wang, Fu Lee Wang
2020	B	`conf`	Minority Oversampling Using Sensitivity. IJCNN Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Shuai Zhang, Chris D. Nugent
2020	J	`jnl`	Training error and sensitivity-based ensemble feature selection. Int. J. Mach. Learn. Cybern. Wing W. Y. Ng, Yuxi Tuo, Jianjun Zhang, Sam Kwong
2019	J	`jnl`	Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification. IEEE Trans. Ind. Informatics Wing W. Y. Ng, Jianjun Zhang, Chun Sing Lai, Witold Pedrycz, Loi Lei Lai, Xizhao Wang
2019	J	`jnl`	New Appliance Detection for Nonintrusive Load Monitoring. IEEE Trans. Ind. Informatics Jianjun Zhang, Xuanqun Chen, Wing W. Y. Ng, Chun Sing Lai, Loi Lei Lai
2019	Misc	`conf`	Undersampling Near Decision Boundary for Imbalance Problems. ICMLC Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Shuai Zhang, Chris D. Nugent
2018	Misc	`conf`	Imbalanced High-Frequency Number Classification Based on DSUS. ICMLC Zhujie Lin, Jianjun Zhang, Wing W. Y. Ng
2018	Misc	`conf`	Loan Default Prediction Using Diversified Sensitivity Undersampling. ICMLC Ya-Qi Chen, Jianjun Zhang, Wing W. Y. Ng
2018	B	`conf`	Stochastic Sensitivity Measure-Based Noise Filtering and Oversampling Method for Imbalanced Classification Problems. SMC Jianjun Zhang, Wing W. Y. Ng
2017	B	`conf`	Bsmboost for imbalanced pattern classification problems. SMC Wing W. Y. Ng, Yuda Zhang, Jianjun Zhang
2017	—	`conf`	Feature Weighting for RBFNN Based on Genetic Algorithm and Localized Generalization Error Model. iThings/GreenCom/CPSCom/SmartData Tianyu Chen, Ting Wang, Wing W. Y. Ng, Jianjun Zhang
2017	—	`conf`	Human Activity Recognition Using Radial Basis Function Neural Network Trained via a Minimization of Localized Generalization Error. UCAmI Shuai Zhang, Wing W. Y. Ng, Jianjun Zhang, Chris D. Nugent
2017	Misc	`conf`	Weighted ensemble of Diversified Sensitivity-based undersampling for imbalanced pattern classification problems. ICMLC Yulin Chai, Jianjun Zhang, Wing W. Y. Ng
2016	J	`jnl`	Dual autoencoders features for imbalance classification problem. Pattern Recognit. Wing W. Y. Ng, Guangjun Zeng, Jianjun Zhang, Daniel S. Yeung, Witold Pedrycz
2016	Misc	`conf`	Effects of different base classifiers to Learn++ family algorithms for concept drifting and imbalanced pattern classification problems. ICMLC Jing Liao, Jianjun Zhang, Wing W. Y. Ng