Ting Wang - RankMe

33 papers B 5Misc 3Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
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`	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`	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	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`	HRadNet: A Hierarchical Radiomics-Based Network for Multicenter Breast Cancer Molecular Subtypes Prediction. IEEE Trans. Medical Imaging Yinhao Liang, Wenjie Tang, Ting Wang, Wing W. Y. Ng, Siyi Chen, Kuiming Jiang, Xinhua Wei, Xinqing Jiang, Yuan Guo
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`	Population-Based Hyperparameter Tuning With Multitask Collaboration. IEEE Trans. Neural Networks Learn. Syst. Wendi Li, Ting Wang, Wing W. Y. Ng
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`	A Deep Clustering via Automatic Feature Embedded Learning for Human Activity Recognition. IEEE Trans. Circuits Syst. Video Technol. Ting Wang, Wing W. Y. Ng, Jinde Li, Qiuxia Wu, Shuai Zhang, Chris D. Nugent, Colin Shewell
2022	B	`conf`	A Sensitivity-based Pruning Method for Convolutional Neural Networks. SMC Cankun Zhong, Yang He, Yifei An, Wing W. Y. Ng, Ting Wang
2022	J	`jnl`	Ensembling perturbation-based oversamplers for imbalanced datasets. Neurocomputing Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz
2022	J	`jnl`	Multi-Localized Sensitive Autoencoder-Attention-LSTM For Skeleton-based Action Recognition. IEEE Trans. Multim. Wing W. Y. Ng, Mingyang Zhang, Ting Wang
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`	Broad Autoencoder Features Learning for Classification Problem. Int. J. Cogn. Informatics Nat. Intell. Ting Wang, Wing W. Y. Ng, Wendi Li, Sam Kwong
2021	J	`jnl`	HELP: An LSTM-based approach to hyperparameter exploration in neural network learning. Neurocomputing Wendi Li, Wing W. Y. Ng, Ting Wang, Marcello Pelillo, Sam Kwong
2021	J	`jnl`	LiSSA: Localized Stochastic Sensitive Autoencoders. IEEE Trans. Cybern. Ting Wang, Wing W. Y. Ng, Marcello Pelillo, Sam Kwong
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`	Multi-Level Local Feature Coding Fusion for Music Genre Recognition. IEEE Access Wing W. Y. Ng, Weijie Zeng, Ting Wang
2020	J	`jnl`	Radial Basis Function Neural Network with Localized Stochastic-Sensitive Autoencoder for Home-Based Activity Recognition. Sensors Wing W. Y. Ng, Shichao Xu, Ting Wang, Shuai Zhang, Chris D. Nugent
2019	—	`conf`	Broad Autoencoder Features Learning for Pattern Classification Problems. ICCI*CC Ting Wang, Wing W. Y. Ng, Wendi Li, Sam Kwong, Jingde Li
2019	—	`conf`	Dual Denoising Autoencoder Feature Learning for Cancer Diagnosis. ICCI*CC Yuqing Gao, Wing W. Y. Ng, Ting Wang, Sam Kwong
2019	Misc	`conf`	Multi-Task Learning With Localized Generalization Error Model. ICMLC Wendi Li, Yi Zhu, Ting Wang, Wing W. Y. Ng
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	J	`jnl`	Unsupervised feature selection by regularized matrix factorization. Neurocomputing Miao Qi, Ting Wang, Fucong Liu, Baoxue Zhang, Jianzhong Wang, Yugen Yi
2017	—	`conf`	Dual Denoising Autoencoder Features for Imbalance Classification Problems. iThings/GreenCom/CPSCom/SmartData Ting Wang, Guangjun Zeng, Wing W. Y. Ng, Jinde Li
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