Ting Wang

According to our database, Ting Wang authored at least 32 papers between 2017 and 2025.

Collaborative distances:

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

2025

XRadNet: A Radiomics-Guided Breast Cancer Molecular Subtype Prediction Network With a Radiomics Explanation.

Yinhao Liang, Wenjie Tang, Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Siyi Chen, Kuiming Jiang, Xinhua Wei, Xinqing Jiang, Yuan Guo

IEEE J. Biomed. Health Informatics, August, 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

Broad hashing for image retrieval.

Wing W. Y. Ng, Xuyu Liu, Xing Tian, Ting Wang, Jianjun Zhang, C. L. Philip Chen

Neurocomputing, 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

HRadNet: A Hierarchical Radiomics-Based Network for Multicenter Breast Cancer Molecular Subtypes Prediction.

Yinhao Liang, Wenjie Tang, Ting Wang, Wing W. Y. Ng, Siyi Chen, Kuiming Jiang, Xinhua Wei, Xinqing Jiang, Yuan Guo

IEEE Trans. Medical Imaging, March, 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

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

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

Population-Based Hyperparameter Tuning With Multitask Collaboration.

Wendi Li, Ting Wang, Wing W. Y. Ng

IEEE Trans. Neural Networks Learn. Syst., September, 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

Multi-Localized Sensitive Autoencoder-Attention-LSTM For Skeleton-based Action Recognition.

Wing W. Y. Ng, Mingyang Zhang, Ting Wang

IEEE Trans. Multim., 2022

A Deep Clustering via Automatic Feature Embedded Learning for Human Activity Recognition.

Ting Wang, Wing W. Y. Ng, Jinde Li, Qiuxia Wu, Shuai Zhang, Chris D. Nugent, Colin Shewell

IEEE Trans. Circuits Syst. Video Technol., 2022

Ensembling perturbation-based oversamplers for imbalanced datasets.

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

Neurocomputing, 2022

A Sensitivity-based Pruning Method for Convolutional Neural Networks.

Cankun Zhong, Yang He, Yifei An, Wing W. Y. Ng, Ting Wang

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

2021

LiSSA: Localized Stochastic Sensitive Autoencoders.

Ting Wang, Wing W. Y. Ng, Marcello Pelillo, Sam Kwong

IEEE Trans. Cybern., 2021

HELP: An LSTM-based approach to hyperparameter exploration in neural network learning.

Wendi Li, Wing W. Y. Ng, Ting Wang, Marcello Pelillo, Sam Kwong

Neurocomputing, 2021

Broad Autoencoder Features Learning for Classification Problem.

Ting Wang, Wing W. Y. Ng, Wendi Li, Sam Kwong

Int. J. Cogn. Informatics Nat. Intell., 2021

2020

Radial Basis Function Neural Network with Localized Stochastic-Sensitive Autoencoder for Home-Based Activity Recognition.

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

Sensors, 2020

Multi-Level Local Feature Coding Fusion for Music Genre Recognition.

Wing W. Y. Ng, Weijie Zeng, Ting Wang

IEEE Access, 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

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

Multi-Task Learning With Localized Generalization Error Model.

Wendi Li, Yi Zhu, Ting Wang, Wing W. Y. Ng

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

Broad Autoencoder Features Learning for Pattern Classification Problems.

Ting Wang, Wing W. Y. Ng, Wendi Li, Sam Kwong, Jingde Li

Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019

Dual Denoising Autoencoder Feature Learning for Cancer Diagnosis.

Yuqing Gao, Wing W. Y. Ng, Ting Wang, Sam Kwong

Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019

2018

Unsupervised feature selection by regularized matrix factorization.

Miao Qi, Ting Wang, Fucong Liu, Baoxue Zhang, Jianzhong Wang, Yugen Yi

Neurocomputing, 2018

2017

Dual Denoising Autoencoder Features for Imbalance Classification Problems.

Ting Wang, Guangjun Zeng, Wing W. Y. Ng, Jinde Li

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