Wing W. Y. Ng

222 papers A* 1A 1B 26Misc 56Journal 119Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Distilled from teacher's Q-neighborhoods.
Int. J. Mach. Learn. Cybern.
Lei Zhao, Wing W. Y. Ng, Jianjun Zhang, Cankun Zhong
2026 J jnl
Incentive Mechanism for Heterogeneous Federated Learning With Budget Constraint.
IEEE Trans. Emerg. Top. Comput. Intell.
Wanwei Xu, Xiumin Wang, Wing W. Y. Ng, Kai Liu
2026 J jnl
Incremental sampling hashing for image retrieval with concept drift.
Pattern Recognit.
Wing W. Y. Ng, Linfei Wang, Qihua Li, Xing Tian
2025 J jnl
A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization.
CoRR
Xiliang Yang, Shenyang Deng, Shicong Liu, Yuanchi Suo, Wing W. Y. Ng, Jianjun Zhang
2025 B conf
A Multimodal Gait-Based Depression Recognition Model with Consistency Training.
SMC
Zhuoyong Huang, Wing W. Y. Ng, Zimin Guo, Huakang Li
2025 B conf
ACIL-SED: An Acoustic Clustering and Imbalance Learning Method for Sound Event Detection.
SMC
Zhichao Chen, Cankun Zhong, Yun Liang, Tang Luo, Yihang Zhang, Wing W. Y. Ng
2025 J jnl
An Innovative Multisource Teacher Collaborative Framework for Self-Knowledge Distillation.
IEEE Trans. Neural Networks Learn. Syst.
Lei Zhao, Wing W. Y. Ng, Jianjun Zhang, Xiguang Wu
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
ConMH-Based Multi-Modal Video Retrieval with Contrastive Hashing and Fusion.
SMC
Rongye Ling, Jingrou Li, Wing W. Y. Ng, Qihua Li, Xing Tian, Xingfu Yan
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
Distillation of ensemble adaptive teacher assistant knowledge.
Int. J. Mach. Learn. Cybern.
Lei Zhao, Wing W. Y. Ng, Jianjun Zhang
2025 — conf
EPOMTA: Efficient and Privacy-Preserving Online Multi-task Allocation in Mobile Crowdsourcing.
ICA3PP (4)
Jiashuang Xu, Xingfu Yan, Wing W. Y. Ng, Zheng Gong
2025 J jnl
ERMAV: Efficient and Robust Graph Contrastive Learning via Multiadversarial Views Training.
IEEE Trans. Cybern.
Wen Li, Wing W. Y. Ng, Hengyou Wang, Jianjun Zhang, Cankun Zhong, Liang Yang
2025 J jnl
Fairness-Aware Client Selection and Payment Determination for Differentially Private Federated Learning.
IEEE Trans. Inf. Forensics Secur.
Xin Zhao, Xiumin Wang, Weiwei Lin, Wing W. Y. Ng, Kai Liu
2025 J jnl
GaitBranch: A multi-branch refinement model combined with frame-channel attention mechanism for gait recognition.
Comput. Vis. Image Underst.
Huakang Li, Yidan Qiu, Huimin Zhao, Jin Zhan, Rongjun Chen, Jinchang Ren, Ying Gao, Wing W. Y. Ng
2025 J jnl
Incentive Mechanism Design for Multi-Round Federated Learning With a Single Budget.
IEEE Trans. Netw. Sci. Eng.
Zhihao Ren, Xinglin Zhang, Wing W. Y. Ng, Junna Zhang
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
PP-MAD: Privacy-preserving multi-task data aggregation in mobile crowdsensing via blockchain.
Comput. Stand. Interfaces
Xingfu Yan, Jiaju Ding, Fucai Luo, Zheng Gong, Wing W. Y. Ng, Yiyuan Luo
2025 J jnl
Robust graph representation learning with asymmetric debiased contrasts.
Expert Syst. Appl.
Wen Li, Wing W. Y. Ng, Hengyou Wang, Jianjun Zhang, Cankun Zhong
2025 J jnl
Scope: On Detecting Constrained Backdoor Attacks in Federated Learning.
IEEE Trans. Inf. Forensics Secur.
Siquan Huang, Yijiang Li, Xingfu Yan, Ying Gao, Chong Chen, Leyu Shi, Biao Chen, Wing W. Y. Ng
2025 — conf
Updatable Verifiable Credential Sharing with Selective Disclosure.
ICA3PP (1)
Jui-Yung Lin, Xingfu Yan, Wing W. Y. Ng, Gong Zheng, Ying Gao
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 — conf
A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization.
ECML/PKDD (1)
Xiliang Yang, Shenyang Deng, Shicong Liu, Yuanchi Suo, Wing W. Y. Ng, Jianjun Zhang
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
Deep supervised fused similarity hashing for cross-modal retrieval.
Multim. Tools Appl.
Wing W. Y. Ng, Yongzhi Xu, Xing Tian, Hui Wang
2024 Misc conf
Fastmandarin: Efficient Local Modeling for Natural Mandarin Speech Synthesis.
ICASSP
Chenglong Jiang, Ying Gao, Hao Jin, Linrong Pan, Wing W. Y. Ng
2024 J jnl
Fog-Enabled Privacy-Preserving Multi-Task Data Aggregation for Mobile Crowdsensing.
IEEE Trans. Dependable Secur. Comput.
Xingfu Yan, Wing W. Y. Ng, Bowen Zhao, Yuxian Liu, Ying Gao, Xiumin Wang
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
Improving domain generalization by hybrid domain attention and localized maximum sensitivity.
Neural Networks
Wing W. Y. Ng, Qin Zhang, Cankun Zhong, Jianjun Zhang
2024 J jnl
Lightweight multimodal Cycle-Attention Transformer towards cancer diagnosis.
Expert Syst. Appl.
Shicong Liu, Xin Ma, Shenyang Deng, Yuanchi Suo, Jianjun Zhang, Wing W. Y. Ng
2024 J jnl
Low-rank matrix recovery with total generalized variation for defending adversarial examples.
Frontiers Inf. Technol. Electron. Eng.
Wen Li, Hengyou Wang, Lianzhi Huo, Qiang He, Linlin Chen, Zhiquan He, Wing W. Y. Ng
2024 B conf
MCD: Defense Against Query-Based Black-Box Surrogate Attacks.
SMC
Yiwen Zou, Wing W. Y. Ng, Xueli Zhang, Brick Loo, Xingfu Yan, Ran Wang
2024 B conf
MVRMLM 2024: Multimodal Video Retrieval and Multimodal Language Modelling.
ICMR
Hui Wang, Josef Kittler, Mark J. F. Gales, Rob Cooper, Maurice D. Mulvenna, Wing W. Y. Ng, Yang Hua, Richard Gault, Abbas Haider, Guanfeng Wu
2024 J jnl
Multi-modal video search by examples - A video quality impact analysis.
IET Comput. Vis.
Guanfeng Wu, Abbas Haider, Xing Tian, Erfan Loweimi, Chi-Ho Chan, Mengjie Qian, Muhammad Junaid Awan, Ivor T. A. Spence, Rob Cooper, Wing W. Y. Ng, Josef Kittler, Mark J. F. Gales, Hui Wang
2024 B conf
On the Adversarial Robustness of Hierarchical Classification.
SMC
Ran Wang, Simeng Zeng, Wenhui Wu, Yuheng Jia, Wing W. Y. Ng, Xizhao Wang
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
2024 J jnl
Self-Supervised Temporal Sensitive Hashing for Video Retrieval.
IEEE Trans. Multim.
Qihua Li, Xing Tian, Wing W. Y. Ng
2024 J jnl
Semantic dependency and local convolution for enhancing naturalness and tone in text-to-speech synthesis.
Neurocomputing
Chenglong Jiang, Ying Gao, Wing W. Y. Ng, Jiyong Zhou, Jinghui Zhong, Hongzhong Zhen, Xiping Hu
2024 — conf
Semi-supervised Concept Preserving Hashing for Image Retrieval in Non-stationary Data Environment.
MVRMLM@ICMR
Xing Tian, Dezhong Zhu, Qihua Li, Wing W. Y. Ng, Chunlin Xu
2024 J jnl
Weakly Supervised Object Localization with Background Suppression Erasing for Art Authentication and Copyright Protection.
Mach. Intell. Res.
ChaoJie Wu, Mingyang Li, Ying Gao, Xinyan Xie, Wing W. Y. Ng, Ahmad Musyafa
2023 — conf
A Lightweight and Efficient Model for Audio Anti-Spoofing.
MMAsia
Qiaowei Ma, Jinghui Zhong, Yitao Yang, Weiheng Liu, Ying Gao, Wing W. Y. Ng
2023 J jnl
A Robust Frequency-Domain-Based Graph Adaptive Network for Parkinson's Disease Detection From Gait Data.
IEEE Trans. Multim.
Cankun Zhong, Wing W. Y. Ng
2023 J jnl
AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing.
Comput. Commun.
Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Guoxiang Zhong, Xuhao Tang, Bin Wang
2023 J jnl
Deep Incremental Hashing for Semantic Image Retrieval With Concept Drift.
IEEE Trans. Big Data
Xing Tian, Wing W. Y. Ng, Huihui Xu
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
Generative face inpainting hashing for occluded face retrieval.
Int. J. Mach. Learn. Cybern.
Yuxiang Yang, Xing Tian, Wing W. Y. Ng, Ran Wang, Ying Gao, Sam Kwong
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 J jnl
Knowledge Distillation Hashing for Occluded Face Retrieval.
IEEE Trans. Multim.
Yuxiang Yang, Xing Tian, Wing W. Y. Ng, Ying Gao
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 J jnl
Length adaptive hashing for semi-supervised semantic image retrieval.
Multim. Tools Appl.
Si-chao Lei, Xing Tian, Wing W. Y. Ng, Yue-Jiao Gong
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
Multi-object tracking for horse racing.
Inf. Sci.
Wing W. Y. Ng, Xuyu Liu, Xuli Yan, Xing Tian, Cankun Zhong, Sam Kwong
2023 J jnl
Multiscale echo self-attention memory network for multivariate time series classification.
Neurocomputing
Huizi Lyu, Desen Huang, Sen Li, Wing W. Y. Ng, Qianli Ma
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
2023 A* conf
SeDepTTS: Enhancing the Naturalness via Semantic Dependency and Local Convolution for Text-to-Speech Synthesis.
AAAI
Chenglong Jiang, Ying Gao, Wing W. Y. Ng, Jiyong Zhou, Jinghui Zhong, Hongzhong Zhen
2023 — conf
Unsupervised Multi-Hashing for Image Retrieval in Non-stationary Environments.
ICACI
Yi Yang, Qihua Li, Xing Tian, Wing W. Y. Ng, Hui Wang, Josef Kittler, Mark J. F. Gales, Rob Cooper
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
An Intelligent Interaction Framework for Teleoperation Based on Human-Machine Cooperation.
IEEE Trans. Hum. Mach. Syst.
Guanglong Du, Yongda Deng, Wing W. Y. Ng, Di Li
2022 J jnl
An automatic framework for perioperative risks classification from retinal images of complex congenital heart disease patients.
Int. J. Mach. Learn. Cybern.
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
2022 J jnl
Bit-wise attention deep complementary supervised hashing for image retrieval.
Multim. Tools Appl.
Wing W. Y. Ng, Jiayong Li, Xing Tian, Hui Wang
2022 J jnl
ConvNext Based Neural Network for Anti-Spoofing.
CoRR
Qiaowei Ma, Jinghui Zhong, Yitao Yang, Weiheng Liu, Ying Gao, Wing W. Y. Ng
2022 J jnl
Difference-Guided Representation Learning Network for Multivariate Time-Series Classification.
IEEE Trans. Cybern.
Qianli Ma, Zipeng Chen, Shuai Tian, Wing W. Y. Ng
2022 J jnl
Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things.
IEEE Trans. Green Commun. Netw.
Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Weizheng Wang, Quoc-Viet Pham
2022 J jnl
Enhanced Local and Global Learning for Rotation-Invariant Point Cloud Representation.
IEEE Multim.
Ruibin Gu, Qiuxia Wu, Yuqiong Li, Wenxiong Kang, Wing W. Y. Ng, Zhiyong 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
Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems.
IEEE Trans. Cybern.
Wing W. Y. Ng, Shichao Xu, Jianjun Zhang, Xing Tian, Tongwen Rong, Sam Kwong
2022 — conf
Hashing-based Undersampling for Large Scale Histopathology Image Classification.
ICCI*CC
Xing Tian, Lin Qiu, Qihua Li, Wing W. Y. Ng, Jianjun Zhang, Sam Kwong, Hui Wang, Xinran Dong, Baoyi Liu, Yijun Hu, Honghua Yu
2022 J jnl
Hashing-based affinity matrix for dominant set clustering.
Neurocomputing
Qihua Li, Xing Tian, Wing W. Y. Ng, Marcello Pelillo
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 J jnl
Multi-Objective Two-Echelon City Dispatching Problem With Mobile Satellites and Crowd-Shipping.
IEEE Trans. Intell. Transp. Syst.
Yulin Lan, Fagui Liu, Wing W. Y. Ng, Mengke Gui, Chengqi Lai
2022 J jnl
P
IEEE Internet Things J.
Xingfu Yan, Wing W. Y. Ng, Biao Zeng, Bowen Zhao, Fucai Luo, Ying Gao
2022 J jnl
Recent development of hashing-based image retrieval in non-stationary environments.
Int. J. Mach. Learn. Cybern.
Qihua Li, Xing Tian, Wing W. Y. Ng, Sam Kwong
2022 — conf
Stochastic Sensitivity Regularized Autoencoder for Robust Feature Learning.
ICCI*CC
Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Sam Kwong
2022 J jnl
Two-Echelon Dispatching Problem With Mobile Satellites in City Logistics.
IEEE Trans. Intell. Transp. Syst.
Yulin Lan, Fa-Gui Liu, Zhixing Huang, Wing W. Y. Ng, Jinghui Zhong
2021 J jnl
A deep learning based hybrid method for hourly solar radiation forecasting.
Expert Syst. Appl.
Chun Sing Lai, Cankun Zhong, Keda Pan, Wing W. Y. Ng, Loi Lei Lai
2021 J jnl
A stochastic sensitivity-based multi-objective optimization method for short-term wind speed interval prediction.
Int. J. Mach. Learn. Cybern.
Xuanqun Chen, Chun Sing Lai, Wing W. Y. Ng, Keda Pan, Loi Lei Lai, Cankun Zhong
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
Causative label flip attack detection with data complexity measures.
Int. J. Mach. Learn. Cybern.
Patrick P. K. Chan, Zhi-Min He, Xian Hu, Eric C. C. Tsang, Daniel S. Yeung, Wing W. Y. Ng
2021 J jnl
Complementary Incremental Hashing With Query-Adaptive Re-Ranking for Image Retrieval.
IEEE Trans. Multim.
Xing Tian, Wing W. Y. Ng, Hui Wang, Sam Kwong
2021 J jnl
Concept Preserving Hashing for Semantic Image Retrieval With Concept Drift.
IEEE Trans. Cybern.
Xing Tian, Wing W. Y. Ng, Hui Wang
2021 J jnl
Convolutional Multitimescale Echo State Network.
IEEE Trans. Cybern.
Qianli Ma, Enhuan Chen, Zhenxi Lin, Jiangyue Yan, Zhiwen Yu, Wing W. Y. Ng
2021 J jnl
D4Net: De-deformation defect detection network for non-rigid products with large patterns.
Inf. Sci.
Xuemiao Xu, Jiaxing Chen, Huaidong Zhang, Wing W. Y. Ng
2021 J jnl
Decomposition Based Multi-Objective Variable Neighborhood Descent Algorithm for Logistics Dispatching.
IEEE Trans. Emerg. Top. Comput. Intell.
Yulin Lan, Fagui Liu, Wing W. Y. Ng, Jun Zhang, Mengke Gui
2021 J jnl
ERINet: Enhanced rotation-invariant network for point cloud classification.
Pattern Recognit. Lett.
Ruibin Gu, Qiuxia Wu, Wing W. Y. Ng, Hongbin Xu, Zhiyong Wang
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 A conf
Learning Efficient Rotation Representation for Point Cloud via Local-Global Aggregation.
ICME
Ruibin Gu, Qiuxia Wu, Hongbin Xu, Wing W. Y. Ng, Zhiyong Wang
2021 J jnl
LiSSA: Localized Stochastic Sensitive Autoencoders.
IEEE Trans. Cybern.
Ting Wang, Wing W. Y. Ng, Marcello Pelillo, Sam Kwong
2021 J jnl
Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model.
Appl. Soft Comput.
Wing W. Y. Ng, Zhengxi Liu, Jianjun Zhang, Witold Pedrycz
2021 J jnl
SALMNet: A Structure-Aware Lane Marking Detection Network.
IEEE Trans. Intell. Transp. Syst.
Xuemiao Xu, Tianfei Yu, Xiaowei Hu, Wing W. Y. Ng, Pheng-Ann Heng
2021 J jnl
Stochastic Sensitivity Tree Boosting for Imbalanced Prediction Problems of Protein-Ligand Interaction Sites.
IEEE Trans. Emerg. Top. Comput. Intell.
Wing W. Y. Ng, Yuda Zhang, Jianjun Zhang, Debby Dan Wang, Fu Lee Wang
2021 J jnl
Verifiable, Reliable, and Privacy-Preserving Data Aggregation in Fog-Assisted Mobile Crowdsensing.
IEEE Internet Things J.
Xingfu Yan, Wing W. Y. Ng, Biao Zeng, Changlu Lin, Yuxian Liu, Lu Lu, Ying Gao
2020 J jnl
Bootstrap dual complementary hashing with semi-supervised re-ranking for image retrieval.
Neurocomputing
Xing Tian, Xiancheng Zhou, Wing W. Y. Ng, Jiayong Li, Hui Wang
2020 J jnl
Concurrent optimization of multiple base learners in neural network ensembles: An adaptive niching differential evolution approach.
Neurocomputing
Ting Huang, Dan-Ting Duan, Yue-Jiao Gong, Long Ye, Wing W. Y. Ng, Jun Zhang
2020 J jnl
Incremental hashing with sample selection using dominant sets.
Int. J. Mach. Learn. Cybern.
Wing W. Y. Ng, Xiaoxia Jiang, Xing Tian, Marcello Pelillo, Hui Wang, 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
Multi-level supervised hashing with deep features for efficient image retrieval.
Neurocomputing
Wing W. Y. Ng, Jiayong Li, Xing Tian, Hui Wang, Sam Kwong, Jonathan Wallace
2020 J jnl
Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart Environments.
Sensors
Naomi Irvine, Chris D. Nugent, Shuai Zhang, Hui Wang, Wing W. Y. Ng
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
2020 J jnl
Robust Neural Networks Learning via a Minimization of Stochastic Output Sensitivity.
IEEE Access
Jincheng Li, Wing W. Y. Ng
2020 J jnl
Training error and sensitivity-based ensemble feature selection.
Int. J. Mach. Learn. Cybern.
Wing W. Y. Ng, Yuxi Tuo, Jianjun Zhang, Sam Kwong
2020 J jnl
Weighted multi-deep ranking supervised hashing for efficient image retrieval.
Int. J. Mach. Learn. Cybern.
Jiayong Li, Wing W. Y. Ng, Xing Tian, Sam Kwong, Hui Wang
2020 J jnl
Within-class multimodal classification.
Multim. Tools Appl.
Huan Wan, Hui Wang, Bryan W. Scotney, Jun Liu, Wing W. Y. Ng
2019 J jnl
A robust correlation analysis framework for imbalanced and dichotomous data with uncertainty.
Inf. Sci.
Chun Sing Lai, Yingshan Tao, Fangyuan Xu, Wing W. Y. Ng, Youwei Jia, Haoliang Yuan, Chao Huang, Loi Lei Lai, Zhao Xu, Giorgio Locatelli
2019 J jnl
Attention-based spatio-temporal dependence learning network.
Inf. Sci.
Qianli Ma, Shuai Tian, Jia Wei, Jiabing Wang, Wing W. Y. Ng
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 J jnl
Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification.
IEEE Trans. Ind. Informatics
Wing W. Y. Ng, Jianjun Zhang, Chun Sing Lai, Witold Pedrycz, Loi Lei Lai, Xizhao Wang
2019 — conf
Dual Denoising Autoencoder Feature Learning for Cancer Diagnosis.
ICCI*CC
Yuqing Gao, Wing W. Y. Ng, Ting Wang, Sam Kwong
2019 J jnl
Global-Local Mutual Attention Model for Text Classification.
IEEE ACM Trans. Audio Speech Lang. Process.
Qianli Ma, Liuhong Yu, Shuai Tian, Enhuan Chen, Wing W. Y. Ng
2019 J jnl
Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments.
IEEE Trans. Cybern.
Wing W. Y. Ng, Xing Tian, Witold Pedrycz, Xizhao Wang, Daniel S. Yeung
2019 B conf
Incremental Hashing with Undersampling.
SMC
Xiaoxia Jiang, Wing W. Y. Ng, Xing Tian, Sam Kwong, Hui Wang
2019 Misc conf
Multi-Task Learning With Localized Generalization Error Model.
ICMLC
Wendi Li, Yi Zhu, Ting Wang, Wing W. Y. Ng
2019 J jnl
New Appliance Detection for Nonintrusive Load Monitoring.
IEEE Trans. Ind. Informatics
Jianjun Zhang, Xuanqun Chen, Wing W. Y. Ng, Chun Sing Lai, Loi Lei Lai
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
Bagging-boosting-based semi-supervised multi-hashing with query-adaptive re-ranking.
Neurocomputing
Wing W. Y. Ng, Xiancheng Zhou, Xing Tian, Xizhao Wang, Daniel S. Yeung
2018 Misc conf
Imbalanced High-Frequency Number Classification Based on DSUS.
ICMLC
Zhujie Lin, Jianjun Zhang, Wing W. Y. Ng
2018 B conf
Incremental Hashing with Dynamic Semantic Pool.
SMC
Xing Tian, Wing W. Y. Ng, Hui Wang
2018 Misc conf
Loan Default Prediction Using Diversified Sensitivity Undersampling.
ICMLC
Ya-Qi Chen, Jianjun Zhang, Wing W. Y. Ng
2018 B conf
Stochastic Sensitivity Measure-Based Noise Filtering and Oversampling Method for Imbalanced Classification Problems.
SMC
Jianjun Zhang, Wing W. Y. Ng
2017 B conf
Bsmboost for imbalanced pattern classification problems.
SMC
Wing W. Y. Ng, Yuda Zhang, Jianjun Zhang
2017 J jnl
Color Distribution Pattern Metric for Person Reidentification.
Wirel. Commun. Mob. Comput.
Yingsheng Ye, Xingming Zhang, Wing W. Y. Ng
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
2017 — conf
Human Activity Recognition Using Radial Basis Function Neural Network Trained via a Minimization of Localized Generalization Error.
UCAmI
Shuai Zhang, Wing W. Y. Ng, Jianjun Zhang, Chris D. Nugent
2017 J jnl
Improved sparse LSSVMS based on the localized generalization error model.
Int. J. Mach. Learn. Cybern.
Binbin Sun, Wing W. Y. Ng, Patrick P. K. Chan
2017 J jnl
Incremental Hashing for Semantic Image Retrieval in Nonstationary Environments.
IEEE Trans. Cybern.
Wing W. Y. Ng, Xing Tian, Yueming Lv, Daniel S. Yeung, Witold Pedrycz
2017 — conf
No-Load Backhaul Ratio Reduction by Interactive Routing for Small Goods Delivery with Time Window Constraints.
iThings/GreenCom/CPSCom/SmartData
Zhiyan Huang, Zhixing Huang, Jiayong Li, Danxia Huang, Junxian Fan, Wing W. Y. Ng
2017 J jnl
Sequential conditional entropy maximization semi-supervised hashing for semantic image retrieval.
Int. J. Mach. Learn. Cybern.
Wing W. Y. Ng, Yueming Lv, Ziqian Zeng, Daniel S. Yeung, Patrick P. K. Chan
2017 Misc conf
Weighted ensemble of Diversified Sensitivity-based undersampling for imbalanced pattern classification problems.
ICMLC
Yulin Chai, Jianjun Zhang, Wing W. Y. Ng
2016 J jnl
Dual autoencoders features for imbalance classification problem.
Pattern Recognit.
Wing W. Y. Ng, Guangjun Zeng, Jianjun Zhang, Daniel S. Yeung, Witold Pedrycz
2016 Misc conf
Effects of different base classifiers to Learn++ family algorithms for concept drifting and imbalanced pattern classification problems.
ICMLC
Jing Liao, Jianjun Zhang, Wing W. Y. Ng
2016 J jnl
MLPNN Training via a Multiobjective Optimization of Training Error and Stochastic Sensitivity.
IEEE Trans. Neural Networks Learn. Syst.
Daniel S. Yeung, Jin-Cheng Li, Wing W. Y. Ng, Patrick P. K. Chan
2016 Misc conf
Semi-supervised online hashing.
ICMLC
Tian Xing, Wing W. Y. Ng
2015 J jnl
Asymmetric Cyclical Hashing for Large Scale Image Retrieval.
IEEE Trans. Multim.
Yueming Lv, Wing W. Y. Ng, Ziqian Zeng, Daniel S. Yeung, Patrick P. K. Chan
2015 J jnl
Benefiting feature selection by the discovery of false irrelevant attributes.
Int. J. Wavelets Multiresolution Inf. Process.
Lidia S. Chao, Derek F. Wong, Philip C. L. Chen, Wing W. Y. Ng, Daniel S. Yeung
2015 J jnl
Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems.
IEEE Trans. Cybern.
Wing W. Y. Ng, Junjie Hu, Daniel S. Yeung, Shaohua Yin, Fabio Roli
2015 Misc conf
Hyperspherical embedding iterative quantization hashing.
ICMLC
Zhi-Qian Huang, Yuememg Lv, Xing Tian, Wing W. Y. Ng
2015 J jnl
Quantification of side-channel information leaks based on data complexity measures for web browsing.
Int. J. Mach. Learn. Cybern.
Zhi-Min He, Patrick P. K. Chan, Daniel S. Yeung, Witold Pedrycz, Wing W. Y. Ng
2015 J jnl
Sensitivity based image filtering for multi-hashing in large scale image retrieval problems.
Int. J. Mach. Learn. Cybern.
Wing W. Y. Ng, Jinchen Li, Shaoyong Feng, Daniel S. Yeung, Patrick P. K. Chan
2015 J jnl
Spam filtering for short messages in adversarial environment.
Neurocomputing
Patrick P. K. Chan, Cheng Yang, Daniel S. Yeung, Wing W. Y. Ng
2015 J jnl
Two-phase mapping hashing.
Neurocomputing
Wing W. Y. Ng, Yueming Lv, Daniel S. Yeung, Patrick P. K. Chan
2014 J jnl
An improved differential evolution and its application to determining feature weights in similarity-based clustering.
Neurocomputing
Chunru Dong, Wing W. Y. Ng, Xi-Zhao Wang, Patrick P. K. Chan, Daniel S. Yeung
2014 Misc conf
Auto-encoder using the bi-firing activation function.
ICMLC
Zihong Cao, Guangjun Zeng, Wing W. Y. Ng, Jincheng Le
2014 J jnl
Bi-firing deep neural networks.
Int. J. Mach. Learn. Cybern.
Jin-Cheng Li, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan
2014 J jnl
LG-Trader: Stock trading decision support based on feature selection by weighted localized generalization error model.
Neurocomputing
Wing W. Y. Ng, Xue-Ling Liang, Jin-Cheng Li, Daniel S. Yeung, Patrick P. K. Chan
2014 — conf
Multiple Orthogonal K-means Hashing.
ICMLC (CCIS volume)
Ziqian Zeng, Yueming Lv, Wing W. Y. Ng
2014 Misc conf
Rotated k-means hashing for image retrieval problems.
ICMLC
Li-Bin Zheng, Wing W. Y. Ng
2014 J jnl
Steganalysis classifier training via minimizing sensitivity for different imaging sources.
Inf. Sci.
Wing W. Y. Ng, Zhi-Min He, Daniel S. Yeung, Patrick P. K. Chan
2014 — conf
Stochastic Sensitivity Oversampling Technique for Imbalanced Data.
ICMLC (CCIS volume)
Tongwen Rong, Huachang Gong, Wing W. Y. Ng
2014 Misc conf
Weighted grid Principal Component Analysis hashing.
ICMLC
Xiancheng Zhou, Zhi-Qian Huang, Wing W. Y. Ng
2013 J jnl
Hyper-parameter Selection for Sparse LS-SVM via Minimization of its Localized Generalization Error.
Int. J. Wavelets Multiresolution Inf. Process.
Binbin Sun, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan
2012 J jnl
Dynamic fusion method using Localized Generalization Error Model.
Inf. Sci.
Patrick P. K. Chan, Daniel S. Yeung, Wing W. Y. Ng, Chih-Min Lin, James N. K. Liu
2012 Misc conf
Empirical estimation of functional relationships between Q value of the L-GEM and training data using genetic programming.
ICMLC
Zhi-Qian Huang, Wing W. Y. Ng
2012 Misc conf
Stock investment decision support using an ensemble of L-GEM based on RBFNN diverse trained from different years.
ICMLC
Xue-Ling Liang, Wing W. Y. Ng
2011 Misc conf
3D Goods allocation in warehouse with L-GEM based 3-D RFID positioning.
ICMLC
Wing W. Y. Ng, Li Lin, Patrick P. K. Chan, Daniel S. Yeung
2011 Misc conf
A novel defend against good word attacks.
ICMLC
Patrick P. K. Chan, Fei Zhang, Wing W. Y. Ng, Daniel S. Yeung, Jinshan Jiang
2011 Misc conf
A novel method to reduce redundancy in adaptive threshold clustering key frame extraction systems.
ICMLC
Patrick P. K. Chan, Hui Yu, Wing W. Y. Ng, Daniel S. Yeung
2011 Misc conf
A study on the effect of scaling functions to feature weighting performance.
ICMLC
Wing W. Y. Ng, Qian-Cheng Wang, Rui-Jie Yang, Patrick P. K. Chan, Daniel S. Yeung
2011 Misc conf
A survey of the initialization of centers and widths in radial basis function network for classification.
ICMLC
Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
2011 Misc conf
Blind steganalysis with high generalization capability for different image databases using L-GEM.
ICMLC
Wing W. Y. Ng, Zhi-Min He, Patrick P. K. Chan, Daniel S. Yeung
2011 Misc conf
Comparision of different classifiers in fault detection in microgrid.
ICMLC
Patrick P. K. Chan, Jing Zhu, Zhi-Wei Qiu, Wing W. Y. Ng, Daniel S. Yeung
2011 Misc conf
Depth estimation from a single image using defocus cues.
ICMLC
Patrick P. K. Chan, Bing-Zhong Jing, Wing W. Y. Ng, Daniel S. Yeung
2011 Misc conf
Disturbance rejection using error estimation in neural network controller design.
ICMLC
Patrick P. K. Chan, Bo Peng, Wing W. Y. Ng, Daniel S. Yeung
2011 Misc conf
Dynamic base classifier pool for classifier selection in Multiple Classifier Systems.
ICMLC
Patrick P. K. Chan, Qin-Qin Zhang, Wing W. Y. Ng, Daniel S. Yeung
2011 Misc conf
Dynamic hierarchical semantic network based image retrieval using relevance feedback.
ICMLC
Patrick P. K. Chan, Zhi-Chun Huang, Wing W. Y. Ng, Daniel S. Yeung
2011 Misc conf
Efficiency of applying virtual reference tag to neural network based RFID indoor positioning method.
ICMLC
Wing W. Y. Ng, Hai-Lan Ding, Patrick P. K. Chan, Daniel S. Yeung
2011 Misc conf
Empirical study on the architecture selection of RBFNN using L-GEM for multi-class problems.
ICMLC
Wing W. Y. Ng, Yao-Hong Chan, Patrick P. K. Chan, Daniel S. Yeung
2011 Misc conf
Intelligent book positioning for library using RFID and book spine matching.
ICMLC
Wing W. Y. Ng, Yi-Song Qiao, Li Lin, Hai-Lan Ding, Patrick P. K. Chan, Daniel S. Yeung
2011 Misc conf
Multi-object tracking in video using Localized Generalization Error model based RBFNN.
ICMLC
Wing W. Y. Ng, Xian-Heng Ma, Patrick P. K. Chan, Daniel S. Yeung
2011 Misc conf
Multiple classifier system for short term load forecast of Microgrid.
ICMLC
Patrick P. K. Chan, Wei-Chun Chen, Wing W. Y. Ng, Daniel S. Yeung
2011 Misc conf
News story clustering using L-GEM based RBFNN.
ICMLC
Wing W. Y. Ng, Xin Ran, Patrick P. K. Chan, Daniel S. Yeung
2011 Misc conf
Sensitivity based Growing and Pruning method for RBF network in online learning environments.
ICMLC
Patrick P. K. Chan, Xi-Rong Wu, Wing W. Y. Ng, Daniel S. Yeung
2011 Misc conf
Social relationship discovery and face annotation in personal photo collection.
ICMLC
Wing W. Y. Ng, Timothy Tian-Ming Zheng, Patrick P. K. Chan, Daniel S. Yeung
2011 Misc conf
Stock investment decision support for Hong Kong market using RBFNN based candlestick models.
ICMLC
Wing W. Y. Ng, Xue-Ling Liang, Patrick P. K. Chan, Daniel S. Yeung
2010 Misc conf
2-Stage instance selection algorithm for KNN based on Nearest Unlike Neighbors.
ICMLC
Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
2010 Misc conf
A growing architecture selection for Multilayer Perceptron Neural Network by the L-GEM.
ICMLC
Jin-Cheng Li, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung
2010 Misc conf
A novel approach on control simulation using neural network ensemble.
ICMLC
Bo Peng, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
2010 Misc conf
A novel gradient synthesis-based illumination formalization method for face recognition under varying lighting conditions.
ICMLC
Li Zhao, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
2010 Misc conf
Access control by RFID and face recognition based on neural network.
ICMLC
Dong-Liang Wu, Wing W. Y. Ng, Patrick P. K. Chan, Hai-Lan Ding, Bing-Zhong Jing, Daniel S. Yeung
2010 Misc conf
Anti-spoofing system for RFID access control combining with face recogntion.
ICMLC
Bing-Zhong Jing, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
2010 Misc conf
Apply randomization in KNN to make the adversary harder to attack the classifier.
ICMLC
Hui Yu, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
2010 Misc conf
Construction of radial basis function neural networks via a minimization of its localized generalization error.
ICMLC
Daniel S. Yeung, Binbin Sun, Wing W. Y. Ng, Patrick P. K. Chan
2010 Misc conf
Content-based image retrieval using color moment and Gabor texture feature.
ICMLC
Zhi-Chun Huang, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
2010 Misc conf
Empirical comparison of forward and backward search strategies in L-GEM based feature selection with RBFNN.
ICMLC
Yao-Hong Chan, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan
2010 Misc conf
Feature selection for blind steganalysis using localized generalization error model.
ICMLC
Zhi-Min He, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung
2010 Misc conf
Feature weighting based on L-GEM.
ICMLC
Qian-Cheng Wang, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung
2010 Misc conf
L-GEM based RBFNN for news anchorperson detection with Dominant Color Descriptor.
ICMLC
Wei Xiao, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung
2010 Misc conf
Moving average crossovers for short-term equity investment with L-GEM based RBFNN.
ICMLC
Gao-Yang Cai, Wing W. Y. Ng, Patrick P. K. Chan, Michael Firth, Daniel S. Yeung
2010 Misc conf
Multiple classifier systems combined with localized generalization error for fault diagnosis of power transformers.
ICMLC
Wei-Chun Chen, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
2010 Misc conf
RFID indoor positioning using RBFNN with L-GEM.
ICMLC
Hai-Lan Ding, Wing W. Y. Ng, Patrick P. K. Chan, Dong-Liang Wu, Xiao-Ling Chen, Daniel S. Yeung
2010 Misc conf
RFID reader deployment using RBFNN with L-GEM.
ICMLC
Hai-Lan Ding, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung, Dong-Liang Wu
2010 — book
Sensitivity Analysis for Neural Networks
Sensitivity Analysis for Neural Networks
Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W. Y. Ng
2010 Misc conf
Shape-based image retrieval of Chinese paper-cutting using RBFNN with invariant moment.
ICMLC
Timothy Tian-Ming Zheng, Wing W. Y. Ng, Xu-Sheng Huang, Shi-Ting Yang, Patrick P. K. Chan, Weiwei Lai, Daniel S. Yeung
2010 B conf
Steganography detection using localized generalization error model.
SMC
Zhi-Min He, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung
2010 Misc conf
Trademark classification by shape using ensemble of RBFNNs.
ICMLC
Weiwei Lai, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung
2009 B conf
IPCM Separability Ratio for Supervised Feature Selection.
SMC
Wing W. Y. Ng, Jun Wang, Daniel S. Yeung
2009 J jnl
Radial Basis Function network learning using localized generalization error bound.
Inf. Sci.
Daniel S. Yeung, Patrick P. K. Chan, Wing W. Y. Ng
2008 J jnl
A Novel Feature Grouping Method for Ensemble Neural Network Using Localized Generalization Error Model.
Int. J. Pattern Recognit. Artif. Intell.
Aki P. F. Chan, Patrick P. K. Chan, Wing W. Y. Ng, Eric C. C. Tsang, Daniel S. Yeung
2008 J jnl
Feature selection using localized generalization error for supervised classification problems using RBFNN.
Pattern Recognit.
Wing W. Y. Ng, Daniel S. Yeung, Michael Firth, Eric C. C. Tsang, Xizhao Wang
2008 B conf
Information extraction based on information fusion from multiple news sources from the web.
SMC
Yang Lv, Wing W. Y. Ng, John Wan Tung Lee, Binbin Sun, Daniel S. Yeung
2008 B conf
Localized generalization error based active learning for image annotation.
SMC
Binbin Sun, Wing W. Y. Ng, Daniel S. Yeung, Jun Wang
2008 B conf
Quantitative study on candlestick pattern for Shenzhen Stock Market.
SMC
Huili Li, Wing W. Y. Ng, John Wan Tung Lee, Binbin Sun, Daniel S. Yeung
2008 B conf
Semantic Chunk Annotation for questions using Maximum Entropy.
SMC
Shixi Fan, Yaoyun Zhang, Wing W. Y. Ng, Xuan Wang, Xiaolong Wang
2008 J jnl
The Localized Generalization Error Model for Single Layer Perceptron Neural Network and Sigmoid Support Vector Machine.
Int. J. Pattern Recognit. Artif. Intell.
Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang
2007 B conf
Heuristic improvement for active learning using localized generalization error as selection criterion.
SMC
Wing W. Y. Ng, Binbin Sun, Daniel S. Yeung, Xizhao Wang
2007 J jnl
Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error.
Pattern Recognit.
Wing W. Y. Ng, Andrés Dorado, Daniel S. Yeung, Witold Pedrycz, Ebroul Izquierdo
2007 J jnl
Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network.
IEEE Trans. Neural Networks
Daniel S. Yeung, Wing W. Y. Ng, Defeng Wang, Eric C. C. Tsang, Xizhao Wang
2007 J jnl
Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries.
Soft Comput.
Wing W. Y. Ng, Daniel S. Yeung, Defeng Wang, Eric C. C. Tsang, Xizhao Wang
2007 J jnl
Structured large margin machines: sensitive to data distributions.
Mach. Learn.
Daniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang
2006 J jnl
Applying undistorted neural network sensitivity analysis in iris plant classification and construction productivity prediction.
Soft Comput.
Ming Lu, Daniel S. Yeung, Wing W. Y. Ng
2006 B conf
Bankruptcy Prediction Using Multiple Classifier System with Mutual Information Feature Grouping.
SMC
Aki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang, Michael Firth
2005 B conf
Active learning using localized generalization error of candidate sample as criterion.
SMC
Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
2005 Misc conf
Construction of High Precision RBFNN with Low False Alarm for Detecting Flooding Based Denial of Service Attacks Using Stochastic Sensitivity Measure.
ICMLC
Wing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang
2005 Misc conf
Empirical Study on Fusion Methods Using Ensemble of RBFNN for Network Intrusion Detection.
ICMLC
Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang, Wing W. Y. Ng
2005 — conf
Multiple Classifier System with Feature Grouping for Intrusion Detection: Mutual Information Approach.
KES (3)
Aki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang
2005 B conf
Quantitative study on the generalization error of multiple classifier systems.
SMC
Wing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang
2004 — conf
Quantitative study on effect of center selection to RBFNN classification performance.
SMC (4)
Wing W. Y. Ng, Daniel S. Yeung, Ian Cloete
2003 B conf
Input sample selection for RBF neural network classification problems using sensitivity measure.
SMC
Wing W. Y. Ng, Daniel S. Yeung, Ian Cloete