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ORCIDTing Wang 0015
Person information
- affiliation: South China University of Technology, School of Medicine, Guangzhou, China
- affiliation: Guangzhou First People's Hospital, Department of Radiology, China
- affiliation (PhD 2021): South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
Other persons with the same name
- Ting Wang — disambiguation page
- Ting Wang 0001
![[0000-0002-7223-8849]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7223-8849")
— East China Normal University, Shanghai, China (and 1 more) - Ting Wang 0002 — Massey University, Volcanic Risk Solutions, New Zealand
- Ting Wang 0003 — University of Pittsburgh, Department of Pediatrics, PA, USA (and 1 more)
- Ting Wang 0004 — Zhejiang University of Technology, College of Computer Science, Hangzhou, China
- Ting Wang 0005 — Southwest University, Faculty of Psychology, Key Laboratory of Cognition and Personality of Ministry of Education, Chongqing, China (and 1 more)
- Ting Wang 0006 — Pennsylvania State University, University Park, PA, USA (and 3 more)
- Ting Wang 0007 — Chinese University of Hong Kong, Institute of Space and Earth Information Science, Hong Kong (and 1 more)
- Ting Wang 0008 — Chinese University of Hong Kong, Department of Computer Science and Engineering, CUhk REliable Computing Laboratory, Hong Kong
- Ting Wang 0009 — National University of Defense Technology, College of Computer, Changsha, China
- Ting Wang 0010 — École centrale de Nantes, France
- Ting Wang 0011 — Tsinghua University, Department of Computer Science and Technology, TNList, Beijing, China (and 3 more)
- Ting Wang 0012 — Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Key Laboratory of Systems and Control, Beijing, China
- Ting Wang 0013 — Nanjing Tech University, College of Electrical Engineering And Control Science, Jiangsu, China (and 2 more)
- Ting Wang 0014 — Capital University of Economics and Business, School of Management and Engineering, Beijing, China
- Ting Wang 0016 — NEC Laboratories America, Princeton, NJ, USA
- Ting Wang 0017 — SAP Asia Pte Ltd, Singapore (and 1 more)
- Ting Wang 0018 — Shandong University of Science and Technology, Qingdao, China (and 2 more)
- Ting Wang 0019 — Tongji University, Shanghai, China
- Ting Wang 0020 — Emporia State University, School of Library and Information Management, KS, USA
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Journal Articles
- 2024
[j16]Yinhao Liang, Wenjie Tang, Ting Wang, Wing W. Y. Ng, Siyi Chen, Kuiming Jiang, Xinhua Wei, Xinqing Jiang, Yuan Guo:
HRadNet: A Hierarchical Radiomics-Based Network for Multicenter Breast Cancer Molecular Subtypes Prediction. IEEE Trans. Medical Imaging 43(3): 1225-1236 (2024)- [j15]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): 1681-1695 (2024) - 2023
- [j14]Xueli Zhang, Cankun Zhong, Jianjun Zhang, Ting Wang, Wing W. Y. Ng:
Robust recurrent neural networks for time series forecasting. Neurocomputing 526: 143-157 (2023) - [j13]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): 53-63 (2023) - [j12]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): 773-787 (2023) - [j11]Wendi Li, Ting Wang, Wing W. Y. Ng:
Population-Based Hyperparameter Tuning With Multitask Collaboration. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5719-5731 (2023) - [j10]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): 9520-9527 (2023) - 2022
- [j9]Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz:
Ensembling perturbation-based oversamplers for imbalanced datasets. Neurocomputing 479: 1-11 (2022) - [j8]Ting Wang, Wing W. Y. Ng, Jinde Li, Qiuxia Wu, Shuai Zhang, Chris D. Nugent, Colin Shewell:
A Deep Clustering via Automatic Feature Embedded Learning for Human Activity Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(1): 210-223 (2022) - [j7]Wing W. Y. Ng, Mingyang Zhang, Ting Wang:
Multi-Localized Sensitive Autoencoder-Attention-LSTM For Skeleton-based Action Recognition. IEEE Trans. Multim. 24: 1678-1690 (2022) - 2021
- [j6]Ting Wang, Wing W. Y. Ng, Wendi Li, Sam Kwong:
Broad Autoencoder Features Learning for Classification Problem. Int. J. Cogn. Informatics Nat. Intell. 15(4): 1-15 (2021) - [j5]Wendi Li, Wing W. Y. Ng, Ting Wang, Marcello Pelillo, Sam Kwong:
HELP: An LSTM-based approach to hyperparameter exploration in neural network learning. Neurocomputing 442: 161-172 (2021) - [j4]Ting Wang, Wing W. Y. Ng, Marcello Pelillo, Sam Kwong:
LiSSA: Localized Stochastic Sensitive Autoencoders. IEEE Trans. Cybern. 51(5): 2748-2760 (2021) - 2020
- [j3]Wing W. Y. Ng, Weijie Zeng, Ting Wang:
Multi-Level Local Feature Coding Fusion for Music Genre Recognition. IEEE Access 8: 152713-152727 (2020) - [j2]Wing W. Y. Ng, Shichao Xu, Ting Wang, Shuai Zhang, Chris D. Nugent:
Radial Basis Function Neural Network with Localized Stochastic-Sensitive Autoencoder for Home-Based Activity Recognition. Sensors 20(5): 1479 (2020) - 2018
- [j1]Miao Qi, Ting Wang, Fucong Liu, Baoxue Zhang, Jianzhong Wang, Yugen Yi:
Unsupervised feature selection by regularized matrix factorization. Neurocomputing 273: 593-610 (2018)
Conference and Workshop Papers
- 2023
- [c11]Wing W. Y. Ng, Peixin Zheng, Ting Wang, Jianjun Zhang, Yinhao Liang, Hui Zhou, Dan Liang, Guangming Li, Xinhua Wei:
LSSED: A Robust Segmentation Network for Inflamed Appendix from CT Images. ICASSP 2023: 1-5 - [c10]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
- [c9]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 - [c8]Cankun Zhong, Yang He, Yifei An, Wing W. Y. Ng, Ting Wang:
A Sensitivity-based Pruning Method for Convolutional Neural Networks. SMC 2022: 1032-1038 - 2020
- [c7]Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Shuai Zhang, Chris D. Nugent:
Minority Oversampling Using Sensitivity. IJCNN 2020: 1-7 - 2019
- [c6]Ting Wang, Wing W. Y. Ng, Wendi Li, Sam Kwong, Jingde Li:
Broad Autoencoder Features Learning for Pattern Classification Problems. ICCI*CC 2019: 130-135 - [c5]Yuqing Gao, Wing W. Y. Ng, Ting Wang, Sam Kwong:
Dual Denoising Autoencoder Feature Learning for Cancer Diagnosis. ICCI*CC 2019: 366-371 - [c4]Wendi Li, Yi Zhu, Ting Wang, Wing W. Y. Ng:
Multi-Task Learning With Localized Generalization Error Model. ICMLC 2019: 1-8 - [c3]Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Shuai Zhang, Chris D. Nugent:
Undersampling Near Decision Boundary for Imbalance Problems. ICMLC 2019: 1-8 - 2017
- [c2]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: 306-311 - [c1]Ting Wang, Guangjun Zeng, Wing W. Y. Ng, Jinde Li:
Dual Denoising Autoencoder Features for Imbalance Classification Problems. iThings/GreenCom/CPSCom/SmartData 2017: 312-317
Coauthor Index
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