Wing W. Y. Ng

According to our database, Wing W. Y. Ng authored at least 185 papers between 2003 and 2024.

Collaborative distances:

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

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

Low-rank matrix recovery with total generalized variation for defending adversarial examples.

Wen Li, Hengyou Wang, Lianzhi Huo, Qiang He, Linlin Chen, Zhiquan He, Wing W. Y. Ng

Frontiers Inf. Technol. Electron. Eng., 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

Weakly Supervised Object Localization with Background Suppression Erasing for Art Authentication and Copyright Protection.

Chaojie Wu, Mingyang Li, Ying Gao, Xinyan Xie, Wing W. Y. Ng, Ahmad Musyafa

Mach. Intell. Res., February, 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

Length adaptive hashing for semi-supervised semantic image retrieval.

Si-chao Lei, Xing Tian, Wing W. Y. Ng, Yue-Jiao Gong

Multim. Tools Appl., October, 2023

Population-Based Hyperparameter Tuning With Multitask Collaboration.

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

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Deep Incremental Hashing for Semantic Image Retrieval With Concept Drift.

Xing Tian, Wing W. Y. Ng, Huihui Xu

IEEE Trans. Big Data, August, 2023

Multi-object tracking for horse racing.

Wing W. Y. Ng, Xuyu Liu, Xuli Yan, Xing Tian, Cankun Zhong, Sam Kwong

Inf. Sci., August, 2023

Generative face inpainting hashing for occluded face retrieval.

Yuxiang Yang, Xing Tian, Wing W. Y. Ng, Ran Wang, Ying Gao, Sam Kwong

Int. J. Mach. Learn. Cybern., May, 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

AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing.

Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Guoxiang Zhong, Xuhao Tang, Bin Wang

Comput. Commun., February, 2023

A Robust Frequency-Domain-Based Graph Adaptive Network for Parkinson's Disease Detection From Gait Data.

Cankun Zhong, Wing W. Y. Ng

IEEE Trans. Multim., 2023

Knowledge Distillation Hashing for Occluded Face Retrieval.

Yuxiang Yang, Xing Tian, Wing W. Y. Ng, Ying Gao

IEEE Trans. Multim., 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

Multiscale echo self-attention memory network for multivariate time series classification.

Huizi Lyu, Desen Huang, Sen Li, Wing W. Y. Ng, Qianli Ma

Neurocomputing, 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

A Lightweight and Efficient Model for Audio Anti-Spoofing.

Qiaowei Ma, Jinghui Zhong, Yitao Yang, Weiheng Liu, Ying Gao, Wing W. Y. Ng

Proceedings of the ACM Multimedia Asia 2023, 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

Unsupervised Multi-Hashing for Image Retrieval in Non-stationary Environments.

Yi Yang, Qihua Li, Xing Tian, Wing W. Y. Ng, Hui Wang, Josef Kittler, Mark J. F. Gales, Rob Cooper

Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

SeDepTTS: Enhancing the Naturalness via Semantic Dependency and Local Convolution for Text-to-Speech Synthesis.

Chenglong Jiang, Ying Gao, Wing W. Y. Ng, Jiyong Zhou, Jinghui Zhong, Hongzhong Zhen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Multi-Objective Two-Echelon City Dispatching Problem With Mobile Satellites and Crowd-Shipping.

Yulin Lan, Fagui Liu, Wing W. Y. Ng, Mengke Gui, Chengqi Lai

IEEE Trans. Intell. Transp. Syst., 2022

Two-Echelon Dispatching Problem With Mobile Satellites in City Logistics.

Yulin Lan, Fa-Gui Liu, Zhixing Huang, Wing W. Y. Ng, Jinghui Zhong

IEEE Trans. Intell. Transp. Syst., 2022

An Intelligent Interaction Framework for Teleoperation Based on Human-Machine Cooperation.

Guanglong Du, Yongda Deng, Wing W. Y. Ng, Di Li

IEEE Trans. Hum. Mach. Syst., 2022

Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things.

Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Weizheng Wang, Quoc-Viet Pham

IEEE Trans. Green Commun. Netw., 2022

Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems.

Wing W. Y. Ng, Shichao Xu, Jianjun Zhang, Xing Tian, Tongwen Rong, Sam Kwong

IEEE Trans. Cybern., 2022

Difference-Guided Representation Learning Network for Multivariate Time-Series Classification.

Qianli Ma, Zipeng Chen, Shuai Tian, Wing W. Y. Ng

IEEE Trans. Cybern., 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

Bit-wise attention deep complementary supervised hashing for image retrieval.

Wing W. Y. Ng, Jiayong Li, Xing Tian, Hui Wang

Multim. Tools Appl., 2022

An automatic framework for perioperative risks classification from retinal images of complex congenital heart disease patients.

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

Int. J. Mach. Learn. Cybern., 2022

Recent development of hashing-based image retrieval in non-stationary environments.

Qihua Li, Xing Tian, Wing W. Y. Ng, Sam Kwong

Int. J. Mach. Learn. Cybern., 2022

P²SIM: Privacy-Preserving and Source-Reliable Incentive Mechanism for Mobile Crowdsensing.

Xingfu Yan, Wing W. Y. Ng, Biao Zeng, Bowen Zhao, Fucai Luo, Ying Gao

IEEE Internet Things J., 2022

Ensembling perturbation-based oversamplers for imbalanced datasets.

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

Neurocomputing, 2022

Hashing-based affinity matrix for dominant set clustering.

Qihua Li, Xing Tian, Wing W. Y. Ng, Marcello Pelillo

Neurocomputing, 2022

Enhanced Local and Global Learning for Rotation-Invariant Point Cloud Representation.

Ruibin Gu, Qiuxia Wu, Yuqiong Li, Wenxiong Kang, Wing W. Y. Ng, Zhiyong Wang

IEEE Multim., 2022

ConvNext Based Neural Network for Anti-Spoofing.

Qiaowei Ma, Jinghui Zhong, Yitao Yang, Weiheng Liu, Ying Gao, Wing W. Y. Ng

CoRR, 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

Hashing-based Undersampling for Large Scale Histopathology Image Classification.

Xing Tian, Lin Qiu, Qihua Li, Wing W. Y. Ng, Jianjun Zhang, Sam Kwong, Hui Wang, Xinran Dong, Baoyi Liu, Yijun Hu, Honghua Yu

Proceedings of the 21st 2022 International Conference on Cognitive Informatics & Cognitive Computing, 2022

2021

Complementary Incremental Hashing With Query-Adaptive Re-Ranking for Image Retrieval.

Xing Tian, Wing W. Y. Ng, Hui Wang, Sam Kwong

IEEE Trans. Multim., 2021

SALMNet: A Structure-Aware Lane Marking Detection Network.

Xuemiao Xu, Tianfei Yu, Xiaowei Hu, Wing W. Y. Ng, Pheng-Ann Heng

IEEE Trans. Intell. Transp. Syst., 2021

Stochastic Sensitivity Tree Boosting for Imbalanced Prediction Problems of Protein-Ligand Interaction Sites.

Wing W. Y. Ng, Yuda Zhang, Jianjun Zhang, Debby Dan Wang, Fu Lee Wang

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Decomposition Based Multi-Objective Variable Neighborhood Descent Algorithm for Logistics Dispatching.

Yulin Lan, Fagui Liu, Wing W. Y. Ng, Jun Zhang, Mengke Gui

IEEE Trans. Emerg. Top. Comput. Intell., 2021

LiSSA: Localized Stochastic Sensitive Autoencoders.

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

IEEE Trans. Cybern., 2021

Concept Preserving Hashing for Semantic Image Retrieval With Concept Drift.

Xing Tian, Wing W. Y. Ng, Hui Wang

IEEE Trans. Cybern., 2021

Convolutional Multitimescale Echo State Network.

Qianli Ma, Enhuan Chen, Zhenxi Lin, Jiangyue Yan, Zhiwen Yu, Wing W. Y. Ng

IEEE Trans. Cybern., 2021

ERINet: Enhanced rotation-invariant network for point cloud classification.

Ruibin Gu, Qiuxia Wu, Wing W. Y. Ng, Hongbin Xu, Zhiyong Wang

Pattern Recognit. Lett., 2021

A stochastic sensitivity-based multi-objective optimization method for short-term wind speed interval prediction.

Xuanqun Chen, Chun Sing Lai, Wing W. Y. Ng, Keda Pan, Loi Lei Lai, Cankun Zhong

Int. J. Mach. Learn. Cybern., 2021

Causative label flip attack detection with data complexity measures.

Patrick P. K. Chan, Zhi-Min He, Xian Hu, Eric C. C. Tsang, Daniel S. Yeung, Wing W. Y. Ng

Int. J. Mach. Learn. Cybern., 2021

D4Net: De-deformation defect detection network for non-rigid products with large patterns.

Xuemiao Xu, Jiaxing Chen, Huaidong Zhang, Wing W. Y. Ng

Inf. Sci., 2021

Verifiable, Reliable, and Privacy-Preserving Data Aggregation in Fog-Assisted Mobile Crowdsensing.

Xingfu Yan, Wing W. Y. Ng, Biao Zeng, Changlu Lin, Yuxian Liu, Lu Lu, Ying Gao

IEEE Internet Things J., 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

A deep learning based hybrid method for hourly solar radiation forecasting.

Chun Sing Lai, Cankun Zhong, Keda Pan, Wing W. Y. Ng, Loi Lei Lai

Expert Syst. Appl., 2021

Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model.

Wing W. Y. Ng, Zhengxi Liu, Jianjun Zhang, Witold Pedrycz

Appl. Soft Comput., 2021

Learning Efficient Rotation Representation for Point Cloud via Local-Global Aggregation.

Ruibin Gu, Qiuxia Wu, Hongbin Xu, Wing W. Y. Ng, Zhiyong Wang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 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

Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart Environments.

Naomi Irvine, Chris D. Nugent, Shuai Zhang, Hui Wang, Wing W. Y. Ng

Sensors, 2020

Within-class multimodal classification.

Huan Wan, Hui Wang, Bryan W. Scotney, Jun Liu, Wing W. Y. Ng

Multim. Tools Appl., 2020

Training error and sensitivity-based ensemble feature selection.

Wing W. Y. Ng, Yuxi Tuo, Jianjun Zhang, Sam Kwong

Int. J. Mach. Learn. Cybern., 2020

Incremental hashing with sample selection using dominant sets.

Wing W. Y. Ng, Xiaoxia Jiang, Xing Tian, Marcello Pelillo, Hui Wang, Sam Kwong

Int. J. Mach. Learn. Cybern., 2020

Weighted multi-deep ranking supervised hashing for efficient image retrieval.

Jiayong Li, Wing W. Y. Ng, Xing Tian, Sam Kwong, Hui Wang

Int. J. Mach. Learn. Cybern., 2020

Bootstrap dual complementary hashing with semi-supervised re-ranking for image retrieval.

Xing Tian, Xiancheng Zhou, Wing W. Y. Ng, Jiayong Li, Hui Wang

Neurocomputing, 2020

Multi-level supervised hashing with deep features for efficient image retrieval.

Wing W. Y. Ng, Jiayong Li, Xing Tian, Hui Wang, Sam Kwong, Jonathan Wallace

Neurocomputing, 2020

Concurrent optimization of multiple base learners in neural network ensembles: An adaptive niching differential evolution approach.

Ting Huang, Dan-Ting Duan, Yue-Jiao Gong, Long Ye, Wing W. Y. Ng, Jun Zhang

Neurocomputing, 2020

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

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

IEEE Access, 2020

Robust Neural Networks Learning via a Minimization of Stochastic Output Sensitivity.

Jincheng Li, Wing W. Y. Ng

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

New Appliance Detection for Nonintrusive Load Monitoring.

Jianjun Zhang, Xuanqun Chen, Wing W. Y. Ng, Chun Sing Lai, Loi Lei Lai

IEEE Trans. Ind. Informatics, 2019

Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification.

Wing W. Y. Ng, Jianjun Zhang, Chun Sing Lai, Witold Pedrycz, Loi Lei Lai, Xizhao Wang

IEEE Trans. Ind. Informatics, 2019

Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments.

Wing W. Y. Ng, Xing Tian, Witold Pedrycz, Xizhao Wang, Daniel S. Yeung

IEEE Trans. Cybern., 2019

Global-Local Mutual Attention Model for Text Classification.

Qianli Ma, Liuhong Yu, Shuai Tian, Enhuan Chen, Wing W. Y. Ng

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Attention-based spatio-temporal dependence learning network.

Qianli Ma, Shuai Tian, Jia Wei, Jiabing Wang, Wing W. Y. Ng

Inf. Sci., 2019

A robust correlation analysis framework for imbalanced and dichotomous data with uncertainty.

Chun Sing Lai, Yingshan Tao, Fangyuan Xu, Wing W. Y. Ng, Youwei Jia, Haoliang Yuan, Chao Huang, Loi Lei Lai, Zhao Xu, Giorgio Locatelli

Inf. Sci., 2019

Incremental Hashing with Undersampling.

Xiaoxia Jiang, Wing W. Y. Ng, Xing Tian, Sam Kwong, Hui Wang

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 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

Bagging-boosting-based semi-supervised multi-hashing with query-adaptive re-ranking.

Wing W. Y. Ng, Xiancheng Zhou, Xing Tian, Xizhao Wang, Daniel S. Yeung

Neurocomputing, 2018

Stochastic Sensitivity Measure-Based Noise Filtering and Oversampling Method for Imbalanced Classification Problems.

Jianjun Zhang, Wing W. Y. Ng

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Incremental Hashing with Dynamic Semantic Pool.

Xing Tian, Wing W. Y. Ng, Hui Wang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Imbalanced High-Frequency Number Classification Based on DSUS.

Zhujie Lin, Jianjun Zhang, Wing W. Y. Ng

Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Loan Default Prediction Using Diversified Sensitivity Undersampling.

Ya-Qi Chen, Jianjun Zhang, Wing W. Y. Ng

Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

2017

Color Distribution Pattern Metric for Person Reidentification.

Yingsheng Ye, Xingming Zhang, Wing W. Y. Ng

Wirel. Commun. Mob. Comput., 2017

Incremental Hashing for Semantic Image Retrieval in Nonstationary Environments.

Wing W. Y. Ng, Xing Tian, Yueming Lv, Daniel S. Yeung, Witold Pedrycz

IEEE Trans. Cybern., 2017

Improved sparse LSSVMS based on the localized generalization error model.

Binbin Sun, Wing W. Y. Ng, Patrick P. K. Chan

Int. J. Mach. Learn. Cybern., 2017

Sequential conditional entropy maximization semi-supervised hashing for semantic image retrieval.

Wing W. Y. Ng, Yueming Lv, Ziqian Zeng, Daniel S. Yeung, Patrick P. K. Chan

Int. J. Mach. Learn. Cybern., 2017

Human Activity Recognition Using Radial Basis Function Neural Network Trained via a Minimization of Localized Generalization Error.

Shuai Zhang, Wing W. Y. Ng, Jianjun Zhang, Chris D. Nugent

Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

Bsmboost for imbalanced pattern classification problems.

Wing W. Y. Ng, Yuda Zhang, Jianjun Zhang

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 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

No-Load Backhaul Ratio Reduction by Interactive Routing for Small Goods Delivery with Time Window Constraints.

Zhiyan Huang, Zhixing Huang, Jiayong Li, Danxia Huang, Junxian Fan, Wing W. Y. Ng

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

Weighted ensemble of Diversified Sensitivity-based undersampling for imbalanced pattern classification problems.

Yulin Chai, Jianjun Zhang, Wing W. Y. Ng

Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

2016

MLPNN Training via a Multiobjective Optimization of Training Error and Stochastic Sensitivity.

Daniel S. Yeung, Jin-Cheng Li, Wing W. Y. Ng, Patrick P. K. Chan

IEEE Trans. Neural Networks Learn. Syst., 2016

Dual autoencoders features for imbalance classification problem.

Wing W. Y. Ng, Guangjun Zeng, Jianjun Zhang, Daniel S. Yeung, Witold Pedrycz

Pattern Recognit., 2016

Semi-supervised online hashing.

Tian Xing, Wing W. Y. Ng

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Effects of different base classifiers to Learn++ family algorithms for concept drifting and imbalanced pattern classification problems.

Jing Liao, Jianjun Zhang, Wing W. Y. Ng

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015

Asymmetric Cyclical Hashing for Large Scale Image Retrieval.

Yueming Lv, Wing W. Y. Ng, Ziqian Zeng, Daniel S. Yeung, Patrick P. K. Chan

IEEE Trans. Multim., 2015

Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems.

Wing W. Y. Ng, Junjie Hu, Daniel S. Yeung, Shaohua Yin, Fabio Roli

IEEE Trans. Cybern., 2015

Sensitivity based image filtering for multi-hashing in large scale image retrieval problems.

Wing W. Y. Ng, Jinchen Li, Shaoyong Feng, Daniel S. Yeung, Patrick P. K. Chan

Int. J. Mach. Learn. Cybern., 2015

Quantification of side-channel information leaks based on data complexity measures for web browsing.

Zhi-Min He, Patrick P. K. Chan, Daniel S. Yeung, Witold Pedrycz, Wing W. Y. Ng

Int. J. Mach. Learn. Cybern., 2015

Benefiting feature selection by the discovery of false irrelevant attributes.

Lidia S. Chao, Derek F. Wong, Philip C. L. Chen, Wing W. Y. Ng, Daniel S. Yeung

Int. J. Wavelets Multiresolution Inf. Process., 2015

Two-phase mapping hashing.

Wing W. Y. Ng, Yueming Lv, Daniel S. Yeung, Patrick P. K. Chan

Neurocomputing, 2015

Spam filtering for short messages in adversarial environment.

Patrick P. K. Chan, Cheng Yang, Daniel S. Yeung, Wing W. Y. Ng

Neurocomputing, 2015

Hyperspherical embedding iterative quantization hashing.

Zhi-Qian Huang, Yuememg Lv, Xing Tian, Wing W. Y. Ng

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2014

Bi-firing deep neural networks.

Jin-Cheng Li, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan

Int. J. Mach. Learn. Cybern., 2014

Steganalysis classifier training via minimizing sensitivity for different imaging sources.

Wing W. Y. Ng, Zhi-Min He, Daniel S. Yeung, Patrick P. K. Chan

Inf. Sci., 2014

LG-Trader: Stock trading decision support based on feature selection by weighted localized generalization error model.

Wing W. Y. Ng, Xue-Ling Liang, Jin-Cheng Li, Daniel S. Yeung, Patrick P. K. Chan

Neurocomputing, 2014

An improved differential evolution and its application to determining feature weights in similarity-based clustering.

Chunru Dong, Wing W. Y. Ng, Xi-Zhao Wang, Patrick P. K. Chan, Daniel S. Yeung

Neurocomputing, 2014

Weighted grid Principal Component Analysis hashing.

Xiancheng Zhou, Zhi-Qian Huang, Wing W. Y. Ng

Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

Rotated k-means hashing for image retrieval problems.

Li-Bin Zheng, Wing W. Y. Ng

Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

Multiple Orthogonal K-means Hashing.

Ziqian Zeng, Yueming Lv, Wing W. Y. Ng

Proceedings of the Machine Learning and Cybernetics, 2014

Stochastic Sensitivity Oversampling Technique for Imbalanced Data.

Tongwen Rong, Huachang Gong, Wing W. Y. Ng

Proceedings of the Machine Learning and Cybernetics, 2014

Auto-encoder using the bi-firing activation function.

Zihong Cao, Guangjun Zeng, Wing W. Y. Ng, Jincheng Le

Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

2013

Hyper-parameter Selection for Sparse LS-SVM via Minimization of its Localized Generalization Error.

Binbin Sun, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan

Int. J. Wavelets Multiresolution Inf. Process., 2013

2012

Dynamic fusion method using Localized Generalization Error Model.

Patrick P. K. Chan, Daniel S. Yeung, Wing W. Y. Ng, Chih-Min Lin, James N. K. Liu

Inf. Sci., 2012

Stock investment decision support using an ensemble of L-GEM based on RBFNN diverse trained from different years.

Xue-Ling Liang, Wing W. Y. Ng

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

Empirical estimation of functional relationships between Q value of the L-GEM and training data using genetic programming.

Zhi-Qian Huang, Wing W. Y. Ng

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011

Social relationship discovery and face annotation in personal photo collection.

Wing W. Y. Ng, Timothy Tian-Ming Zheng, Patrick P. K. Chan, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

A study on the effect of scaling functions to feature weighting performance.

Wing W. Y. Ng, Qian-Cheng Wang, Rui-Jie Yang, Patrick P. K. Chan, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

News story clustering using L-GEM based RBFNN.

Wing W. Y. Ng, Xin Ran, Patrick P. K. Chan, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Intelligent book positioning for library using RFID and book spine matching.

Wing W. Y. Ng, Yi-Song Qiao, Li Lin, Hai-Lan Ding, Patrick P. K. Chan, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Multi-object tracking in video using Localized Generalization Error model based RBFNN.

Wing W. Y. Ng, Xian-Heng Ma, Patrick P. K. Chan, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Stock investment decision support for Hong Kong market using RBFNN based candlestick models.

Wing W. Y. Ng, Xue-Ling Liang, Patrick P. K. Chan, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

3D Goods allocation in warehouse with L-GEM based 3-D RFID positioning.

Wing W. Y. Ng, Li Lin, Patrick P. K. Chan, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Blind steganalysis with high generalization capability for different image databases using L-GEM.

Wing W. Y. Ng, Zhi-Min He, Patrick P. K. Chan, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Efficiency of applying virtual reference tag to neural network based RFID indoor positioning method.

Wing W. Y. Ng, Hai-Lan Ding, Patrick P. K. Chan, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Empirical study on the architecture selection of RBFNN using L-GEM for multi-class problems.

Wing W. Y. Ng, Yao-Hong Chan, Patrick P. K. Chan, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

A survey of the initialization of centers and widths in radial basis function network for classification.

Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Comparision of different classifiers in fault detection in microgrid.

Patrick P. K. Chan, Jing Zhu, Zhi-Wei Qiu, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

A novel defend against good word attacks.

Patrick P. K. Chan, Fei Zhang, Wing W. Y. Ng, Daniel S. Yeung, Jinshan Jiang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Dynamic base classifier pool for classifier selection in Multiple Classifier Systems.

Patrick P. K. Chan, Qin-Qin Zhang, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

A novel method to reduce redundancy in adaptive threshold clustering key frame extraction systems.

Patrick P. K. Chan, Hui Yu, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Sensitivity based Growing and Pruning method for RBF network in online learning environments.

Patrick P. K. Chan, Xi-Rong Wu, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Disturbance rejection using error estimation in neural network controller design.

Patrick P. K. Chan, Bo Peng, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Depth estimation from a single image using defocus cues.

Patrick P. K. Chan, Bing-Zhong Jing, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Dynamic hierarchical semantic network based image retrieval using relevance feedback.

Patrick P. K. Chan, Zhi-Chun Huang, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Multiple classifier system for short term load forecast of Microgrid.

Patrick P. K. Chan, Wei-Chun Chen, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010

Steganography detection using localized generalization error model.

Zhi-Min He, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung

Proceedings of the IEEE International Conference on Systems, 2010

Shape-based image retrieval of Chinese paper-cutting using RBFNN with invariant moment.

Timothy Tian-Ming Zheng, Wing W. Y. Ng, Xu-Sheng Huang, Shi-Ting Yang, Patrick P. K. Chan, Weiwei Lai, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

A novel gradient synthesis-based illumination formalization method for face recognition under varying lighting conditions.

Li Zhao, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Apply randomization in KNN to make the adversary harder to attack the classifier.

Hui Yu, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Construction of radial basis function neural networks via a minimization of its localized generalization error.

Daniel S. Yeung, Binbin Sun, Wing W. Y. Ng, Patrick P. K. Chan

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

L-GEM based RBFNN for news anchorperson detection with Dominant Color Descriptor.

Wei Xiao, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Access control by RFID and face recognition based on neural network.

Dong-Liang Wu, Wing W. Y. Ng, Patrick P. K. Chan, Hai-Lan Ding, Bing-Zhong Jing, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Feature weighting based on L-GEM.

Qian-Cheng Wang, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

A novel approach on control simulation using neural network ensemble.

Bo Peng, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

A growing architecture selection for Multilayer Perceptron Neural Network by the L-GEM.

Jin-Cheng Li, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Trademark classification by shape using ensemble of RBFNNs.

Weiwei Lai, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Anti-spoofing system for RFID access control combining with face recogntion.

Bing-Zhong Jing, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Content-based image retrieval using color moment and Gabor texture feature.

Zhi-Chun Huang, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Feature selection for blind steganalysis using localized generalization error model.

Zhi-Min He, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2-Stage instance selection algorithm for KNN based on Nearest Unlike Neighbors.

Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

RFID reader deployment using RBFNN with L-GEM.

Hai-Lan Ding, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung, Dong-Liang Wu

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

RFID indoor positioning using RBFNN with L-GEM.

Hai-Lan Ding, Wing W. Y. Ng, Patrick P. K. Chan, Dong-Liang Wu, Xiao-Ling Chen, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Multiple classifier systems combined with localized generalization error for fault diagnosis of power transformers.

Wei-Chun Chen, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Empirical comparison of forward and backward search strategies in L-GEM based feature selection with RBFNN.

Yao-Hong Chan, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Moving average crossovers for short-term equity investment with L-GEM based RBFNN.

Gao-Yang Cai, Wing W. Y. Ng, Patrick P. K. Chan, Michael Firth, Daniel S. Yeung

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Sensitivity Analysis for Neural Networks

Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W. Y. Ng

Natural Computing Series, Springer, ISBN: 978-3-642-02531-0, 2010

2009

Radial Basis Function network learning using localized generalization error bound.

Daniel S. Yeung, Patrick P. K. Chan, Wing W. Y. Ng

Inf. Sci., 2009

IPCM Separability Ratio for Supervised Feature Selection.

Wing W. Y. Ng, Jun Wang, Daniel S. Yeung

Proceedings of the IEEE International Conference on Systems, 2009

2008

Feature selection using localized generalization error for supervised classification problems using RBFNN.

Wing W. Y. Ng, Daniel S. Yeung, Michael Firth, Eric C. C. Tsang, Xizhao Wang

Pattern Recognit., 2008

The Localized Generalization Error Model for Single Layer Perceptron Neural Network and Sigmoid Support Vector Machine.

Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang

Int. J. Pattern Recognit. Artif. Intell., 2008

A Novel Feature Grouping Method for Ensemble Neural Network Using Localized Generalization Error Model.

Aki P. F. Chan, Patrick P. K. Chan, Wing W. Y. Ng, Eric C. C. Tsang, Daniel S. Yeung

Int. J. Pattern Recognit. Artif. Intell., 2008

Localized generalization error based active learning for image annotation.

Binbin Sun, Wing W. Y. Ng, Daniel S. Yeung, Jun Wang

Proceedings of the IEEE International Conference on Systems, 2008

Information extraction based on information fusion from multiple news sources from the web.

Yang Lv, Wing W. Y. Ng, John Wan Tung Lee, Binbin Sun, Daniel S. Yeung

Proceedings of the IEEE International Conference on Systems, 2008

Quantitative study on candlestick pattern for Shenzhen Stock Market.

Huili Li, Wing W. Y. Ng, John Wan Tung Lee, Binbin Sun, Daniel S. Yeung

Proceedings of the IEEE International Conference on Systems, 2008

Semantic Chunk Annotation for questions using Maximum Entropy.

Shixi Fan, Yaoyun Zhang, Wing W. Y. Ng, Xuan Wang, Xiaolong Wang

Proceedings of the IEEE International Conference on Systems, 2008

2007

Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network.

Daniel S. Yeung, Wing W. Y. Ng, Defeng Wang, Eric C. C. Tsang, Xizhao Wang

IEEE Trans. Neural Networks, 2007

Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries.

Wing W. Y. Ng, Daniel S. Yeung, Defeng Wang, Eric C. C. Tsang, Xizhao Wang

Soft Comput., 2007

Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error.

Wing W. Y. Ng, Andrés Dorado, Daniel S. Yeung, Witold Pedrycz, Ebroul Izquierdo

Pattern Recognit., 2007

Structured large margin machines: sensitive to data distributions.

Daniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang

Mach. Learn., 2007

Heuristic improvement for active learning using localized generalization error as selection criterion.

Wing W. Y. Ng, Binbin Sun, Daniel S. Yeung, Xizhao Wang

Proceedings of the IEEE International Conference on Systems, 2007

2006

Applying undistorted neural network sensitivity analysis in iris plant classification and construction productivity prediction.

Ming Lu, Daniel S. Yeung, Wing W. Y. Ng

Soft Comput., 2006

Bankruptcy Prediction Using Multiple Classifier System with Mutual Information Feature Grouping.

Aki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang, Michael Firth

Proceedings of the IEEE International Conference on Systems, 2006

2005

Quantitative study on the generalization error of multiple classifier systems.

Wing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang

Proceedings of the IEEE International Conference on Systems, 2005

Active learning using localized generalization error of candidate sample as criterion.

Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung

Proceedings of the IEEE International Conference on Systems, 2005

Multiple Classifier System with Feature Grouping for Intrusion Detection: Mutual Information Approach.

Aki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Construction of High Precision RBFNN with Low False Alarm for Detecting Flooding Based Denial of Service Attacks Using Stochastic Sensitivity Measure.

Wing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Empirical Study on Fusion Methods Using Ensemble of RBFNN for Network Intrusion Detection.

Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang, Wing W. Y. Ng

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

2004

Quantitative study on effect of center selection to RBFNN classification performance.

Wing W. Y. Ng, Daniel S. Yeung, Ian Cloete

Proceedings of the IEEE International Conference on Systems, 2004

2003

Input sample selection for RBF neural network classification problems using sensitivity measure.

Wing W. Y. Ng, Daniel S. Yeung, Ian Cloete

Proceedings of the IEEE International Conference on Systems, 2003