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Jianjun Zhang 0004
Person information
- affiliation: South China University of Technology, Guangzhou, China
Other persons with the same name
- Jianjun Zhang (aka: Jian-Jun Zhang, Jian Jun Zhang) — disambiguation page
- Jianjun Zhang 0001 (aka: Jeremy Zhang) — Iron Mountain, Boston, MA, USA (and 1 more)
- Jianjun Zhang 0002 — Naval University of Engineering, Wuhan, China (and 1 more)
- Jianjun Zhang 0003 — Hebei University of Technology, Tianjin, China
- Jianjun Zhang 0005
— Hunan University, Changsha, China (and 1 more)
- Jianjun Zhang 0006 — Peking Unviersity, State Key Laboratory of Advanced Optical Communication Systems and Network, Beijing, China
- Jianjun Zhang 0007 — Shanghai Jiao Tong University, Institute of Robotics, Shanghai, China
- Jianjun Zhang 0008
- Jianjun Zhang 0010
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2020 – today
- 2024
- [j16]Shicong Liu
Lightweight multimodal Cycle-Attention Transformer towards cancer diagnosis. Expert Syst. Appl. 255: 124616 (2024) - [j15]Wing W. Y. Ng
Improving domain generalization by hybrid domain attention and localized maximum sensitivity. Neural Networks 171: 320-331 (2024) - [j14]Ting Wang, Su Lu, Jianjun Zhang
SBHA: Sensitive Binary Hashing Autoencoder for Image Retrieval. IEEE Trans. Cybern. 54(7): 3954-3967 (2024) - [j13]Ting Wang
BASS: Broad Network Based on Localized Stochastic Sensitivity. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1681-1695 (2024) - [c15]Xiliang Yang, Shenyang Deng, Shicong Liu, Yuanchi Suo, Wing W. Y. Ng, Jianjun Zhang:
A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization. ECML/PKDD (1) 2024: 73-88 - 2023
- [j12]Xueli Zhang, Cankun Zhong, Jianjun Zhang, Ting Wang
Robust recurrent neural networks for time series forecasting. Neurocomputing 526: 143-157 (2023) - [j11]Shuai Zhang
Evaluation of radial basis function neural network minimizing L-GEM for sensor-based activity recognition. J. Ambient Intell. Humaniz. Comput. 14(1): 53-63 (2023) - [j10]Jianjun Zhang, Ting Wang
Perturbation-based oversampling technique for imbalanced classification problems. Int. J. Mach. Learn. Cybern. 14(3): 773-787 (2023) - [j9]Jianjun Zhang
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): 9520-9527 (2023) - [c14]Wing W. Y. Ng, Peixin Zheng, Ting Wang, Jianjun Zhang, Yinhao Liang
LSSED: A Robust Segmentation Network for Inflamed Appendix from CT Images. ICASSP 2023: 1-5 - [c13]Ting Wang, Wing W. Y. Ng, Mingyang Zhang, Xueli Zhang, Jianjun Zhang, Mingcong Deng:
Moisture Content Prediction of Sugi Wood Drying Using Deep LSTM AE Minimizing Perturbed Error. SMC 2023: 3756-3762 - 2022
- [j8]Jianjun Zhang, Ting Wang
Ensembling perturbation-based oversamplers for imbalanced datasets. Neurocomputing 479: 1-11 (2022) - [j7]Wing W. Y. Ng
Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems. IEEE Trans. Cybern. 52(2): 1269-1279 (2022) - [c12]Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Sam Kwong
Stochastic Sensitivity Regularized Autoencoder for Robust Feature Learning. ICCI*CC 2022: 9-15 - [c11]Xing Tian, Lin Qiu, Qihua Li, Wing W. Y. Ng, Jianjun Zhang, Sam Kwong
Hashing-based Undersampling for Large Scale Histopathology Image Classification. ICCI*CC 2022: 221-228 - 2021
- [j6]Wing W. Y. Ng
Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model. Appl. Soft Comput. 104: 107178 (2021) - [j5]Wing W. Y. Ng
Stochastic Sensitivity Tree Boosting for Imbalanced Prediction Problems of Protein-Ligand Interaction Sites. IEEE Trans. Emerg. Top. Comput. Intell. 5(3): 373-383 (2021) - 2020
- [j4]Wing W. Y. Ng
Training error and sensitivity-based ensemble feature selection. Int. J. Mach. Learn. Cybern. 11(10): 2313-2326 (2020) - [c10]Jianjun Zhang, Ting Wang
Minority Oversampling Using Sensitivity. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j3]Wing W. Y. Ng
Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification. IEEE Trans. Ind. Informatics 15(3): 1588-1597 (2019) - [j2]Jianjun Zhang
New Appliance Detection for Nonintrusive Load Monitoring. IEEE Trans. Ind. Informatics 15(8): 4819-4829 (2019) - [c9]Jianjun Zhang, Ting Wang
Undersampling Near Decision Boundary for Imbalance Problems. ICMLC 2019: 1-8 - 2018
- [c8]Zhujie Lin, Jianjun Zhang, Wing W. Y. Ng
Imbalanced High-Frequency Number Classification Based on DSUS. ICMLC 2018: 19-24 - [c7]Ya-Qi Chen, Jianjun Zhang, Wing W. Y. Ng
Loan Default Prediction Using Diversified Sensitivity Undersampling. ICMLC 2018: 240-245 - [c6]Jianjun Zhang, Wing W. Y. Ng
Stochastic Sensitivity Measure-Based Noise Filtering and Oversampling Method for Imbalanced Classification Problems. SMC 2018: 403-408 - 2017
- [c5]Yulin Chai, Jianjun Zhang, Wing W. Y. Ng
Weighted ensemble of Diversified Sensitivity-based undersampling for imbalanced pattern classification problems. ICMLC 2017: 42-47 - [c4]Tianyu Chen, Ting Wang
Feature Weighting for RBFNN Based on Genetic Algorithm and Localized Generalization Error Model. iThings/GreenCom/CPSCom/SmartData 2017: 306-311 - [c3]Wing W. Y. Ng
Bsmboost for imbalanced pattern classification problems. SMC 2017: 930-935 - [c2]Shuai Zhang
Human Activity Recognition Using Radial Basis Function Neural Network Trained via a Minimization of Localized Generalization Error. UCAmI 2017: 498-507 - 2016
- [j1]Wing W. Y. Ng
Dual autoencoders features for imbalance classification problem. Pattern Recognit. 60: 875-889 (2016) - [c1]Jing Liao
Effects of different base classifiers to Learn++ family algorithms for concept drifting and imbalanced pattern classification problems. ICMLC 2016: 99-104
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last updated on 2024-12-13 20:03 CET by the dblp team
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