Wing W. Y. Ng

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 105

Top Venues

Int. J. Mach. Learn. Cybern.

Neurocomputing

ICMLC

IEEE Trans. Cybern.

Publications

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) (2024)
Wen Li, Hengyou Wang, Lianzhi Huo, Qiang He, Linlin Chen, Zhiquan He, Wing W. Y. Ng
Low-rank matrix recovery with total generalized variation for defending adversarial examples. Frontiers Inf. Technol. Electron. Eng. 25 (3) (2024)
Shicong Liu, Xin Ma, Shenyang Deng, Yuanchi Suo, Jianjun Zhang, Wing W. Y. Ng
Lightweight multimodal Cycle-Attention Transformer towards cancer diagnosis. Expert Syst. Appl. 255 (2024)
Chaojie Wu, Mingyang Li, Ying Gao, Xinyan Xie, Wing W. Y. Ng, Ahmad Musyafa
Weakly Supervised Object Localization with Background Suppression Erasing for Art Authentication and Copyright Protection. Mach. Intell. Res. 21 (1) (2024)
Wing W. Y. Ng, Qin Zhang, Cankun Zhong, Jianjun Zhang
Improving domain generalization by hybrid domain attention and localized maximum sensitivity. Neural Networks 171 (2024)
Qihua Li, Xing Tian, Wing W. Y. Ng
Self-Supervised Temporal Sensitive Hashing for Video Retrieval. IEEE Trans. Multim. 26 (2024)
Ting Wang, Su Lu, Jianjun Zhang, Xuyu Liu, Xing Tian, Wing W. Y. Ng, Wei-neng Chen
SBHA: Sensitive Binary Hashing Autoencoder for Image Retrieval. IEEE Trans. Cybern. 54 (7) (2024)
Xingfu Yan, Wing W. Y. Ng, Bowen Zhao, Yuxian Liu, Ying Gao, Xiumin Wang
Fog-Enabled Privacy-Preserving Multi-Task Data Aggregation for Mobile Crowdsensing. IEEE Trans. Dependable Secur. Comput. 21 (3) (2024)
Chenglong Jiang, Ying Gao, Hao Jin, Linrong Pan, Wing W. Y. Ng
Fastmandarin: Efficient Local Modeling for Natural Mandarin Speech Synthesis. ICASSP (2024)
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) (2024)
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) (2023)
Xing Tian, Wing W. Y. Ng, Huihui Xu
Deep Incremental Hashing for Semantic Image Retrieval With Concept Drift. IEEE Trans. Big Data 9 (4) (2023)
Si-chao Lei, Xing Tian, Wing W. Y. Ng, Yue-Jiao Gong
Length adaptive hashing for semi-supervised semantic image retrieval. Multim. Tools Appl. 82 (24) (2023)
Yuxiang Yang, Xing Tian, Wing W. Y. Ng, Ran Wang, Ying Gao, Sam Kwong
Generative face inpainting hashing for occluded face retrieval. Int. J. Mach. Learn. Cybern. 14 (5) (2023)
Chenglong Jiang, Ying Gao, Wing W. Y. Ng, Jiyong Zhou, Jinghui Zhong, Hongzhong Zhen
SeDepTTS: Enhancing the Naturalness via Semantic Dependency and Local Convolution for Text-to-Speech Synthesis. AAAI (2023)
Wing W. Y. Ng, Xuyu Liu, Xuli Yan, Xing Tian, Cankun Zhong, Sam Kwong
Multi-object tracking for horse racing. Inf. Sci. 638 (2023)
Yuxiang Yang, Xing Tian, Wing W. Y. Ng, Ying Gao
Knowledge Distillation Hashing for Occluded Face Retrieval. IEEE Trans. Multim. 25 (2023)
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)
Wendi Li, Ting Wang, Wing W. Y. Ng
Population-Based Hyperparameter Tuning With Multitask Collaboration. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Cankun Zhong, Wing W. Y. Ng
A Robust Frequency-Domain-Based Graph Adaptive Network for Parkinson's Disease Detection From Gait Data. IEEE Trans. Multim. 25 (2023)
Huizi Lyu, Desen Huang, Sen Li, Wing W. Y. Ng, Qianli Ma
Multiscale echo self-attention memory network for multivariate time series classification. Neurocomputing 520 (2023)
Yi Yang, Qihua Li, Xing Tian, Wing W. Y. Ng, Hui Wang, Josef Kittler, Mark Gales, Rob Cooper
Unsupervised Multi-Hashing for Image Retrieval in Non-stationary Environments. ICACI (2023)
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) (2023)
Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Guoxiang Zhong, Xuhao Tang, Bin Wang
AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing. Comput. Commun. 200 (2023)
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) (2023)
Xueli Zhang, Cankun Zhong, Jianjun Zhang, Ting Wang, Wing W. Y. Ng
Robust recurrent neural networks for time series forecasting. Neurocomputing 526 (2023)
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)
Qihua Li, Xing Tian, Wing W. Y. Ng, Sam Kwong
Recent development of hashing-based image retrieval in non-stationary environments. Int. J. Mach. Learn. Cybern. 13 (12) (2022)
Yulin Lan, Fagui Liu, Wing W. Y. Ng, Mengke Gui, Chengqi Lai
Multi-Objective Two-Echelon City Dispatching Problem With Mobile Satellites and Crowd-Shipping. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Yulin Lan, Fa-Gui Liu, Zhixing Huang, Wing W. Y. Ng, Jinghui Zhong
Two-Echelon Dispatching Problem With Mobile Satellites in City Logistics. IEEE Trans. Intell. Transp. Syst. 23 (1) (2022)
Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Sam Kwong
Stochastic Sensitivity Regularized Autoencoder for Robust Feature Learning. ICCI*CC (2022)
Wing W. Y. Ng, Mingyang Zhang, Ting Wang
Multi-Localized Sensitive Autoencoder-Attention-LSTM For Skeleton-based Action Recognition. IEEE Trans. Multim. 24 (2022)
Qihua Li, Xing Tian, Wing W. Y. Ng, Marcello Pelillo
Hashing-based affinity matrix for dominant set clustering. Neurocomputing 501 (2022)
Qianli Ma, Zipeng Chen, Shuai Tian, Wing W. Y. Ng
Difference-Guided Representation Learning Network for Multivariate Time-Series Classification. IEEE Trans. Cybern. 52 (6) (2022)
Guanglong Du, Yongda Deng, Wing W. Y. Ng, Di Li
An Intelligent Interaction Framework for Teleoperation Based on Human-Machine Cooperation. IEEE Trans. Hum. Mach. Syst. 52 (5) (2022)
Wing W. Y. Ng, Shichao Xu, Jianjun Zhang, Xing Tian, Tongwen Rong, Sam Kwong
Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems. IEEE Trans. Cybern. 52 (2) (2022)
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) (2022)
Xing Tian, Lin Qiu, Qihua Li, Wing W. Y. Ng, Jianjun Zhang, Sam Kwong, Hui Wang, Xinran Dong, Baoyi Liu, Yijun Hu, Honghua Yu
Hashing-based Undersampling for Large Scale Histopathology Image Classification. ICCI*CC (2022)
Qiaowei Ma, Jinghui Zhong, Yitao Yang, Weiheng Liu, Ying Gao, Wing W. Y. Ng
ConvNext Based Neural Network for Anti-Spoofing. CoRR (2022)
Wing W. Y. Ng, Haicong Liang, Qingsheng Peng, Cankun Zhong, Xinran Dong, Zhongning Huang, Pingting Zhong, Cong Li, Minghui Xu, Yunxia Sun, Honghua Yu, Xiaohong Yang
An automatic framework for perioperative risks classification from retinal images of complex congenital heart disease patients. Int. J. Mach. Learn. Cybern. 13 (2) (2022)
Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz
Ensembling perturbation-based oversamplers for imbalanced datasets. Neurocomputing 479 (2022)
Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Weizheng Wang, Quoc-Viet Pham
Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things. IEEE Trans. Green Commun. Netw. 6 (3) (2022)
Wing W. Y. Ng, Jiayong Li, Xing Tian, Hui Wang
Bit-wise attention deep complementary supervised hashing for image retrieval. Multim. Tools Appl. 81 (1) (2022)
Cankun Zhong, Yang He, Yifei An, Wing W. Y. Ng, Ting Wang
A Sensitivity-based Pruning Method for Convolutional Neural Networks. SMC (2022)
Xingfu Yan, Wing W. Y. Ng, Biao Zeng, Bowen Zhao, Fucai Luo, Ying Gao
SIM: Privacy-Preserving and Source-Reliable Incentive Mechanism for Mobile Crowdsensing. IEEE Internet Things J. 9 (24) (2022)
Ruibin Gu, Qiuxia Wu, Yuqiong Li, Wenxiong Kang, Wing W. Y. Ng, Zhiyong Wang
Enhanced Local and Global Learning for Rotation-Invariant Point Cloud Representation. IEEE Multim. 29 (4) (2022)
Wing W. Y. Ng, Zhengxi Liu, Jianjun Zhang, Witold Pedrycz
Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model. Appl. Soft Comput. 104 (2021)
Ruibin Gu, Qiuxia Wu, Hongbin Xu, Wing W. Y. Ng, Zhiyong Wang
Learning Efficient Rotation Representation for Point Cloud via Local-Global Aggregation. ICME (2021)
Xuemiao Xu, Jiaxing Chen, Huaidong Zhang, Wing W. Y. Ng
D4Net: De-deformation defect detection network for non-rigid products with large patterns. Inf. Sci. 547 (2021)
Xing Tian, Wing W. Y. Ng, Hui Wang, Sam Kwong
Complementary Incremental Hashing With Query-Adaptive Re-Ranking for Image Retrieval. IEEE Trans. Multim. 23 (2021)
Xuemiao Xu, Tianfei Yu, Xiaowei Hu, Wing W. Y. Ng, Pheng-Ann Heng
SALMNet: A Structure-Aware Lane Marking Detection Network. IEEE Trans. Intell. Transp. Syst. 22 (8) (2021)
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 (2021)
Ruibin Gu, Qiuxia Wu, Wing W. Y. Ng, Hongbin Xu, Zhiyong Wang
ERINet: Enhanced rotation-invariant network for point cloud classification. Pattern Recognit. Lett. 151 (2021)
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) (2021)
Yulin Lan, Fagui Liu, Wing W. Y. Ng, Jun Zhang, Mengke Gui
Decomposition Based Multi-Objective Variable Neighborhood Descent Algorithm for Logistics Dispatching. IEEE Trans. Emerg. Top. Comput. Intell. 5 (5) (2021)
Patrick P. K. Chan, Zhi-Min He, Xian Hu, Eric C. C. Tsang, Daniel S. Yeung, Wing W. Y. Ng
Causative label flip attack detection with data complexity measures. Int. J. Mach. Learn. Cybern. 12 (1) (2021)
Wing W. Y. Ng, Yuda Zhang, Jianjun Zhang, Debby Dan Wang, Fu Lee Wang
Stochastic Sensitivity Tree Boosting for Imbalanced Prediction Problems of Protein-Ligand Interaction Sites. IEEE Trans. Emerg. Top. Comput. Intell. 5 (3) (2021)
Xuanqun Chen, Chun Sing Lai, Wing W. Y. Ng, Keda Pan, Loi Lei Lai, Cankun Zhong
A stochastic sensitivity-based multi-objective optimization method for short-term wind speed interval prediction. Int. J. Mach. Learn. Cybern. 12 (9) (2021)
Xingfu Yan, Wing W. Y. Ng, Biao Zeng, Changlu Lin, Yuxian Liu, Lu Lu, Ying Gao
Verifiable, Reliable, and Privacy-Preserving Data Aggregation in Fog-Assisted Mobile Crowdsensing. IEEE Internet Things J. 8 (18) (2021)
Chun Sing Lai, Cankun Zhong, Keda Pan, Wing W. Y. Ng, Loi Lei Lai
A deep learning based hybrid method for hourly solar radiation forecasting. Expert Syst. Appl. 177 (2021)
Qianli Ma, Enhuan Chen, Zhenxi Lin, Jiangyue Yan, Zhiwen Yu, Wing W. Y. Ng
Convolutional Multitimescale Echo State Network. IEEE Trans. Cybern. 51 (3) (2021)
Xing Tian, Wing W. Y. Ng, Hui Wang
Concept Preserving Hashing for Semantic Image Retrieval With Concept Drift. IEEE Trans. Cybern. 51 (10) (2021)
Ting Wang, Wing W. Y. Ng, Marcello Pelillo, Sam Kwong
LiSSA: Localized Stochastic Sensitive Autoencoders. IEEE Trans. Cybern. 51 (5) (2021)
Huan Wan, Hui Wang, Bryan W. Scotney, Jun Liu, Wing W. Y. Ng
Within-class multimodal classification. Multim. Tools Appl. 79 (39-40) (2020)
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) (2020)
Xing Tian, Xiancheng Zhou, Wing W. Y. Ng, Jiayong Li, Hui Wang
Bootstrap dual complementary hashing with semi-supervised re-ranking for image retrieval. Neurocomputing 379 (2020)
Wing W. Y. Ng, Jiayong Li, Xing Tian, Hui Wang, Sam Kwong, Jonathan Wallace
Multi-level supervised hashing with deep features for efficient image retrieval. Neurocomputing 399 (2020)
Naomi Irvine, Chris D. Nugent, Shuai Zhang, Hui Wang, Wing W. Y. Ng
Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart Environments. Sensors 20 (1) (2020)
Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Shuai Zhang, Chris D. Nugent
Minority Oversampling Using Sensitivity. IJCNN (2020)
Wing W. Y. Ng, Xiaoxia Jiang, Xing Tian, Marcello Pelillo, Hui Wang, Sam Kwong
Incremental hashing with sample selection using dominant sets. Int. J. Mach. Learn. Cybern. 11 (12) (2020)
Jincheng Li, Wing W. Y. Ng
Robust Neural Networks Learning via a Minimization of Stochastic Output Sensitivity. IEEE Access 8 (2020)
Ting Huang, Dan-Ting Duan, Yue-Jiao Gong, Long Ye, Wing W. Y. Ng, Jun Zhang
Concurrent optimization of multiple base learners in neural network ensembles: An adaptive niching differential evolution approach. Neurocomputing 396 (2020)
Wing W. Y. Ng, Weijie Zeng, Ting Wang
Multi-Level Local Feature Coding Fusion for Music Genre Recognition. IEEE Access 8 (2020)
Jiayong Li, Wing W. Y. Ng, Xing Tian, Sam Kwong, Hui Wang
Weighted multi-deep ranking supervised hashing for efficient image retrieval. Int. J. Mach. Learn. Cybern. 11 (4) (2020)
Wing W. Y. Ng, Yuxi Tuo, Jianjun Zhang, Sam Kwong
Training error and sensitivity-based ensemble feature selection. Int. J. Mach. Learn. Cybern. 11 (10) (2020)
Jianjun Zhang, Xuanqun Chen, Wing W. Y. Ng, Chun Sing Lai, Loi Lei Lai
New Appliance Detection for Nonintrusive Load Monitoring. IEEE Trans. Ind. Informatics 15 (8) (2019)
Ting Wang, Wing W. Y. Ng, Wendi Li, Sam Kwong, Jingde Li
Broad Autoencoder Features Learning for Pattern Classification Problems. ICCI*CC (2019)
Chun Sing Lai, Yingshan Tao, Fangyuan Xu, Wing W. Y. Ng, Youwei Jia, Haoliang Yuan, Chao Huang, Loi Lei Lai, Zhao Xu, Giorgio Locatelli
A robust correlation analysis framework for imbalanced and dichotomous data with uncertainty. Inf. Sci. 470 (2019)
Wendi Li, Yi Zhu, Ting Wang, Wing W. Y. Ng
Multi-Task Learning With Localized Generalization Error Model. ICMLC (2019)
Wing W. Y. Ng, Jianjun Zhang, Chun Sing Lai, Witold Pedrycz, Loi Lei Lai, Xizhao Wang
Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification. IEEE Trans. Ind. Informatics 15 (3) (2019)
Qianli Ma, Shuai Tian, Jia Wei, Jiabing Wang, Wing W. Y. Ng
Attention-based spatio-temporal dependence learning network. Inf. Sci. 503 (2019)
Qianli Ma, Liuhong Yu, Shuai Tian, Enhuan Chen, Wing W. Y. Ng
Global-Local Mutual Attention Model for Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. 27 (12) (2019)
Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Shuai Zhang, Chris D. Nugent
Undersampling Near Decision Boundary for Imbalance Problems. ICMLC (2019)
Xiaoxia Jiang, Wing W. Y. Ng, Xing Tian, Sam Kwong, Hui Wang
Incremental Hashing with Undersampling. SMC (2019)
Yuqing Gao, Wing W. Y. Ng, Ting Wang, Sam Kwong
Dual Denoising Autoencoder Feature Learning for Cancer Diagnosis. ICCI*CC (2019)
Wing W. Y. Ng, Xing Tian, Witold Pedrycz, Xizhao Wang, Daniel S. Yeung
Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. 49 (11) (2019)
Wing W. Y. Ng, Xiancheng Zhou, Xing Tian, Xizhao Wang, Daniel S. Yeung
Bagging-boosting-based semi-supervised multi-hashing with query-adaptive re-ranking. Neurocomputing 275 (2018)
Zhujie Lin, Jianjun Zhang, Wing W. Y. Ng
Imbalanced High-Frequency Number Classification Based on DSUS. ICMLC (2018)
Jianjun Zhang, Wing W. Y. Ng
Stochastic Sensitivity Measure-Based Noise Filtering and Oversampling Method for Imbalanced Classification Problems. SMC (2018)
Xing Tian, Wing W. Y. Ng, Hui Wang
Incremental Hashing with Dynamic Semantic Pool. SMC (2018)
Ya-Qi Chen, Jianjun Zhang, Wing W. Y. Ng
Loan Default Prediction Using Diversified Sensitivity Undersampling. ICMLC (2018)
Wing W. Y. Ng, Yueming Lv, Ziqian Zeng, Daniel S. Yeung, Patrick P. K. Chan
Sequential conditional entropy maximization semi-supervised hashing for semantic image retrieval. Int. J. Mach. Learn. Cybern. 8 (2) (2017)
Ting Wang, Guangjun Zeng, Wing W. Y. Ng, Jinde Li
Dual Denoising Autoencoder Features for Imbalance Classification Problems. iThings/GreenCom/CPSCom/SmartData (2017)
Wing W. Y. Ng, Yuda Zhang, Jianjun Zhang
Bsmboost for imbalanced pattern classification problems. SMC (2017)
Wing W. Y. Ng, Xing Tian, Yueming Lv, Daniel S. Yeung, Witold Pedrycz
Incremental Hashing for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. 47 (11) (2017)
Zhiyan Huang, Zhixing Huang, Jiayong Li, Danxia Huang, Junxian Fan, Wing W. Y. Ng
No-Load Backhaul Ratio Reduction by Interactive Routing for Small Goods Delivery with Time Window Constraints. iThings/GreenCom/CPSCom/SmartData (2017)
Binbin Sun, Wing W. Y. Ng, Patrick P. K. Chan
Improved sparse LSSVMS based on the localized generalization error model. Int. J. Mach. Learn. Cybern. 8 (6) (2017)
Yingsheng Ye, Xingming Zhang, Wing W. Y. Ng
Color Distribution Pattern Metric for Person Reidentification. Wirel. Commun. Mob. Comput. 2017 (2017)
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)
Shuai Zhang, Wing W. Y. Ng, Jianjun Zhang, Chris D. Nugent
Human Activity Recognition Using Radial Basis Function Neural Network Trained via a Minimization of Localized Generalization Error. UCAmI (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wing W. Y. Ng