Daniel S. Yeung

235 papers A* 5A 3B 40C 2Misc 54Journal 107Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Contrastive learning with auxiliary model. Pattern Recognit. Linyi Xu, Patrick P. K. Chan, Jingwen Deng, Xuanming Liang, Daniel S. Yeung
2025	J	`jnl`	Real-world nighttime image dehazing using contrastive and adversarial learning. Pattern Recognit. Jingwen Deng, Patrick P. K. Chan, Daniel S. Yeung
2024	J	`jnl`	Evasion on general GAN-generated image detection by disentangled representation. Inf. Sci. Patrick P. K. Chan, Chuanxin Zhang, Haitao Chen, Jingwen Deng, Xiao Meng, Daniel S. Yeung
2024	J	`jnl`	Unsupervised contaminated user profile identification against shilling attack in recommender system. Intell. Data Anal. Fei Zhang, Patrick P. K. Chan, Zhi-Min He, Daniel S. Yeung
2023	J	`jnl`	Multi-proxy based deep metric learning. Inf. Sci. Patrick P. K. Chan, Shute Li, Jingwen Deng, Daniel S. Yeung
2022	J	`jnl`	Item Relationship Graph Neural Networks for E-Commerce. IEEE Trans. Neural Networks Learn. Syst. Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng
2022	J	`jnl`	Progressive editing with stacked Generative Adversarial Network for multiple facial attribute editing. Comput. Vis. Image Underst. Patrick P. K. Chan, Xiaotian Wang, Zhe Lin, Daniel S. Yeung
2022	J	`jnl`	Unsupervised Domain Adaptation for Gesture Identification Against Electrode Shift. IEEE Trans. Hum. Mach. Syst. Patrick P. K. Chan, Qiu Xia Li, Yinfeng Fang, Linyi Xu, Kairu Li, Honghai Liu, Daniel S. Yeung
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	B	`conf`	Class-Specific Affinity based Weakly Supervised Semantic Segmentation with Neutral Region Exploration. IJCNN Keke Chen, Patrick P. K. Chan, Tianyi Xiang, Natasha Kees, Daniel S. Yeung
2021	B	`conf`	Distribution-based Adversarial Filter Feature Selection against Evasion Attack. IJCNN Patrick P. K. Chan, Yuanchao Liang, Fei Zhang, Daniel S. Yeung
2021	—	`conf`	Multiple-Model Based Defense for Deep Reinforcement Learning Against Adversarial Attack. ICANN (1) Patrick P. K. Chan, Yaxuan Wang, Natasha Kees, Daniel S. Yeung
2021	J	`jnl`	Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack. Appl. Soft Comput. Patrick P. K. Chan, Juan Zheng, Han Liu, Eric C. C. Tsang, Daniel S. Yeung
2021	J	`jnl`	Transfer learning based countermeasure against label flipping poisoning attack. Inf. Sci. Patrick P. K. Chan, Fengzhi Luo, Zitong Chen, Ying Shu, Daniel S. Yeung
2021	—	`conf`	Weakly Supervised Semantic Segmentation with Patch-Based Metric Learning Enhancement. ICANN (3) Patrick P. K. Chan, Keke Chen, Linyi Xu, Xiaoman Hu, Daniel S. Yeung
2020	A	`conf`	Adversarial Attack against Deep Reinforcement Learning with Static Reward Impact Map. AsiaCCS Patrick P. K. Chan, Yaxuan Wang, Daniel S. Yeung
2020	J	`jnl`	Adversarial Feature Selection against Evasion Attacks. CoRR Fei Zhang, Patrick P. K. Chan, Battista Biggio, Daniel S. Yeung, Fabio Roli
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
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	A*	`conf`	Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences. IJCAI Patrick P. K. Chan, Xian Hu, Lili Zhao, Daniel S. Yeung, Dapeng Liu, Lei Xiao
2018	J	`jnl`	Face Liveness Detection Using a Flash Against 2D Spoofing Attack. IEEE Trans. Inf. Forensics Secur. Patrick P. K. Chan, Weiwen Liu, Danni Chen, Daniel S. Yeung, Fei Zhang, Xizhao Wang, Chien-Chang Hsu
2018	B	`conf`	Shilling Attack Detection Using Rated Item Correlation for Collaborative Filtering. SMC Keke Chen, Patrick P. K. Chan, Daniel S. Yeung
2018	Misc	`conf`	Unsupervised Shilling Attack Detection Model Based on Rated Item Correlation Analysis. ICMLC Keke Chen, Patrick P. K. Chan, Daniel S. Yeung
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	J	`jnl`	Sensitivity based robust learning for stacked autoencoder against evasion attack. Neurocomputing Patrick P. K. Chan, Zhe Lin, Xian Hu, Eric C. C. Tsang, Daniel S. Yeung
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
2016	J	`jnl`	Adversarial Feature Selection Against Evasion Attacks. IEEE Trans. Cybern. Fei Zhang, Patrick P. K. Chan, Battista Biggio, Daniel S. Yeung, Fabio Roli
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`	Improving robustness against electrode shift of sEMG based hand gesture recognition using online semi-supervised learning. ICMLC Qiu Xia Li, Patrick P. K. Chan, Dalin Zhou, Yinfeng Fang, Honghai Liu, Daniel S. Yeung
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
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	—	`conf`	One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time. MCS Battista Biggio, Igino Corona, Zhi-Min He, Patrick P. K. Chan, Giorgio Giacinto, Daniel S. Yeung, Fabio Roli
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	—	`conf`	A Causative Attack Against Semi-supervised Learning. ICMLC (CCIS volume) Yujiao Li, Daniel S. Yeung
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	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	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
2013	Misc	`conf`	An improved differential evolution and its application to determining feature weights in similarity based clustering. ICMLC Chun-Ru Dong, Daniel S. Yeung, Xi-Zhao Wang
2013	Misc	`conf`	Greetings from the General Chairs. ICMLC Xizhao Wang, Daniel S. Yeung
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`	Recovering depth from images using adaptive depth from focus. ICMLC Bing-Zhong Jing, Daniel S. Yeung
2012	Misc	`conf`	Sparse LS-SVM two-steps model selection method. ICMLC Binbin Sun, Daniel S. Yeung
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	J	`jnl`	Recent advances on machine learning and Cybernetics. Soft Comput. Witold Pedrycz, Daniel S. Yeung, Xizhao Wang
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	J	`jnl`	Adaptive filter design using recurrent cerebellar model articulation controller. IEEE Trans. Neural Networks Chih-Min Lin, Li-Yang Chen, 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`	CMAC-based fault accommodation control for tank system. ICMLC Chih-Min Lin, Chang-Chih Chung, Yu-Ju Liu, Daniel S. Yeung
2010	Misc	`conf`	Chaos synchronization of two uncertain chaotic nonlinear gyros using rotary sliding mode control. ICMLC Te-Yu Chen, Wei-Wei Zhang, Chih-Min Lin, 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`	A Novel Dynamic Fusion Method Using Localized Generalization Error Model. SMC Daniel S. Yeung, Patrick P. K. Chan
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
2009	C	`conf`	Sensitivity Based Generalization Error for Supervised Learning Problems with Application in Feature Selection. ADMA Daniel S. Yeung
2009	—	`conf`	Sensitivity based Generalization Error for Supervised Learning Problem with Applications in Model Selection and Feature Selection. ICINCO-ICSO Daniel S. Yeung
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`	A definition of partial derivative of random functions and its application to RBFNN sensitivity analysis. Neurocomputing Xizhao Wang, Chun-Guo Li, Daniel S. Yeung, Shiji Song, Hui-Min Feng
2008	J	`jnl`	Approximations and reducts with covering generalized rough sets. Comput. Math. Appl. Eric C. C. Tsang, Degang Chen, Daniel S. Yeung
2008	J	`jnl`	Attributes Reduction Using Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. Eric C. C. Tsang, Degang Chen, Daniel S. Yeung, Xizhao Wang, John W. T. Lee
2008	J	`jnl`	Editorial. Int. J. Pattern Recognit. Artif. Intell. Xizhao Wang, Yuanyan Tang, 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	—	`ch.`	Hybridization of Fuzzy and Rough Sets: Present and Future. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models Eric C. C. Tsang, Qingcai Chen, Suyun Zhao, Daniel S. Yeung, 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	J	`jnl`	Preface: Recent advances in granular computing. Inf. Sci. Daniel S. Yeung, Xizhao Wang, Degang Chen
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	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	J	`jnl`	Convergence Analysis of a Discrete Hopfield Neural Network with Delay and its Application to Knowledge Refinement. Int. J. Pattern Recognit. Artif. Intell. Eric C. C. Tsang, S. S. Qiu, Daniel S. Yeung
2007	J	`jnl`	Covariance-Matrix Modeling and Detecting Various Flooding Attacks. IEEE Trans. Syst. Man Cybern. Part A Daniel S. Yeung, Shuyuan Jin, Xizhao Wang
2007	J	`jnl`	Ellipsoidal support vector clustering for functional MRI analysis. Pattern Recognit. Defeng Wang, Lin Shi, Daniel S. Yeung, Eric C. C. Tsang, Pheng-Ann Heng
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`	Internet Anomaly Detection Based on Statistical Covariance Matrix. Int. J. Pattern Recognit. Artif. Intell. Shuyuan Jin, Daniel S. Yeung, Xizhao Wang
2007	J	`jnl`	Learning fuzzy rules from fuzzy samples based on rough set technique. Inf. Sci. Xizhao Wang, Eric C. C. Tsang, Suyun Zhao, Degang Chen, Daniel S. Yeung
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`	Machine Learning Techniques: Problems and Applications. By Guest Editors: Zhi-Qiang Liu, Daniel So Yeung, Xi-Zhao Wang, and Eric Tsang. Soft Comput. Zhi-Qiang Liu, Xizhao Wang, Daniel S. Yeung
2007	J	`jnl`	Network intrusion detection in covariance feature space. Pattern Recognit. Shuyuan Jin, Daniel S. Yeung, Xizhao Wang
2007	B	`conf`	Neural network ensemble pruning using sensitivity measure in web applications. SMC Patrick P. K. Chan, Xiaoqin Zeng, Eric C. C. Tsang, Daniel S. Yeung, John W. T. Lee
2007	—	`conf`	Sample Reduction for SVMs via Data Structure Analysis. SoSE Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang
2007	J	`jnl`	Stability analysis of a discrete Hopfield neural network with delay. Neurocomputing Eric C. C. Tsang, S. S. Qiu, Daniel S. Yeung
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
2007	J	`jnl`	Weighted Mahalanobis Distance Kernels for Support Vector Machines. IEEE Trans. Neural Networks Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang
2006	Misc	`ed.`	Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers ICMLC Daniel S. Yeung, Zhi-Qiang Liu, Xizhao Wang, Hong Yan
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
2006	J	`jnl`	Computation of Madalines' Sensitivity to Input and Weight Perturbations. Neural Comput. Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung, Zhihang Peng
2006	J	`jnl`	Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure. Neurocomputing Xiaoqin Zeng, Daniel S. Yeung
2006	—	`conf`	Improving Text Classifier Performance based on AUC. ICPR (3) Alex K. S. Wong, John W. T. Lee, Daniel S. Yeung
2006	B	`conf`	Learning Web Categorization with Controlled Generation of Context Features. SMC Alex K. S. Wong, John W. T. Lee, Daniel S. Yeung
2006	J	`jnl`	Preface for the special issue: soft computing in machine learning and cybernetics in the journal Soft Comput. Zhi-Qiang Liu, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang, John W. T. Lee
2006	J	`jnl`	Rough approximations on a complete completely distributive lattice with applications to generalized rough sets. Inf. Sci. Degang Chen, Wenxiu Zhang, Daniel S. Yeung, Eric C. C. Tsang
2006	J	`jnl`	Rough sets and ordinal reducts. Soft Comput. John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang
2006	B	`conf`	Structured Large Margin Machine Ensemble. SMC Patrick P. K. Chan, Defeng Wang, Eric C. C. Tsang, Daniel S. Yeung
2006	J	`jnl`	Structured One-Class Classification. IEEE Trans. Syst. Man Cybern. Part B Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang
2005	Misc	`conf`	A Covariance Matrix Based Approach to Internet Anomaly Detection. ICMLC Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang
2005	J	`jnl`	A Hybrid Language Model Based On Statistics And Linguistic Rules. Int. J. Pattern Recognit. Artif. Intell. Xiaolong Wang, Daniel S. Yeung, James N. K. Liu, Robert Wing Pong Luk, Xuan Wang
2005	B	`conf`	A feature space analysis for anomaly detection. SMC Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang
2005	J	`jnl`	A genetic algorithm for solving the inverse problem of support vector machines. Neurocomputing Xizhao Wang, Qiang He, Degang Chen, Daniel S. Yeung
2005	J	`jnl`	A hybrid post-processing system for offline handwritten chinese character recognition based on a statistical language model. Int. J. Pattern Recognit. Artif. Intell. Ruifeng Xu, Daniel S. Yeung, Daming Shi
2005	J	`jnl`	A multiple classifier approach to detect Chinese character recognition errors. Pattern Recognit. Kei Yuen Hung, Robert Wing Pong Luk, Daniel S. Yeung, Korris Fu-Lai Chung, Wenhao Shu
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	J	`jnl`	Combining multiple classifiers based on a statistical method for handwritten Chinese character recognition. Int. J. Pattern Recognit. Artif. Intell. Lei Lin, Xiaolong Wang, 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	J	`jnl`	FNDS: a dialogue-based system for accessing digested financial news. J. Syst. Softw. Kwok Cheung Lan, Kei Shiu Ho, Robert Wing Pong Luk, Daniel S. Yeung
2005	—	`conf`	Gene Selection Through Sensitivity Analysis of Support Vector Machines. CompLife Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang, Lin Shi
2005	J	`jnl`	General multifractional Fourier transform method based on the generalized permutation matrix group. IEEE Trans. Signal Process. Qiwen Ran, Daniel S. Yeung, Eric C. C. Tsang, Qi Wang
2005	J	`jnl`	Hierarchical clustering based on ordinal consistency. Pattern Recognit. John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang
2005	Misc	`conf`	Learning from an Incomplete Information System with Continuous-Valued Attributes by a Rough Set Technique. ICMLC Eric C. C. Tsang, Suyun Zhao, Daniel S. Yeung, John W. T. Lee
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`	On attributes reduction with fuzzy rough sets. SMC Gloria C. Y. Tsang, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Daniel S. Yeung
2005	J	`jnl`	On the generalization of fuzzy rough sets. IEEE Trans. Fuzzy Syst. Daniel S. Yeung, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Xizhao Wang
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
2005	Misc	`conf`	Sensitivity Analysis of Madalines to Weight Perturbation. ICMLC Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung
2005	J	`jnl`	Sensitivity analysis applied to the construction of radial basis function networks. Neural Networks Daming Shi, Daniel S. Yeung, Junbin Gao
2005	B	`conf`	Stability Analysis of Discrete Hopfield Neural Networks With Delay and Its Application. SMC Eric C. C. Tsang, Aki P. F. Chan, Daniel S. Yeung, S. S. Qiu
2005	A	`conf`	Support Vector Clustering for Brain Activation Detection. MICCAI Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann Heng, Tien-Tsin Wong, Eric C. C. Tsang
2005	Misc	`conf`	Use of Linguistic Features in Context-Sensitive Text Classification. ICMLC Alex K. S. Wong, John W. T. Lee, Daniel S. Yeung
2004	—	`conf`	A covariance analysis model for DDoS attack detection. ICC Shuyuan Jin, Daniel S. Yeung
2004	—	`conf`	A study on generalization capability of weighted fuzzy production rules with maximum entropy. SMC (4) Xizhao Wang, Chunru Dong, Daniel S. Yeung
2004	—	`conf`	Critical Vector Learning to Construct RBF Classifiers. ICPR (3) Daming Shi, Geok See Ng, Junbin Gao, Daniel S. Yeung
2004	J	`jnl`	Feature Selection For Chinese Character Recognition Based On Inductive Learning. Int. J. Pattern Recognit. Artif. Intell. Guoliang Qian, Daniel S. Yeung, Eric C. C. Tsang, Wenhao Shu
2004	J	`jnl`	Handling interaction in fuzzy production rule reasoning. IEEE Trans. Syst. Man Cybern. Part B Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang
2004	J	`jnl`	Mining Pinyin-to-character conversion rules from large-scale corpus: a rough set approach. IEEE Trans. Syst. Man Cybern. Part B Xiaolong Wang, Qingcai Chen, Daniel S. Yeung
2004	—	`conf`	Quantitative study on effect of center selection to RBFNN classification performance. SMC (4) Wing W. Y. Ng, Daniel S. Yeung, Ian Cloete
2004	—	`conf`	Radial Basis Function Network Pruning by Sensitivity Analysis. Canadian AI Daming Shi, Junbin Gao, Daniel S. Yeung, Fei Chen
2004	J	`jnl`	Refinement of generated fuzzy production rules by using a fuzzy neural network. IEEE Trans. Syst. Man Cybern. Part B Eric C. C. Tsang, Daniel S. Yeung, John W. T. Lee, D. M. Huang, X. Z. Wang
2003	J	`jnl`	A Quantified Sensitivity Measure for Multilayer Perceptron to Input Perturbation. Neural Comput. Xiaoqin Zeng, Daniel S. Yeung
2003	J	`jnl`	ASAB: a Chinese screen reader. Softw. Pract. Exp. Robert W. P. Luk, Daniel S. Yeung, Qin Lu, H. L. Leung, S. Y. Li, Fred Leung
2003	J	`jnl`	An Approach To Natural Stroke Extraction For Off-Line Loosely-Constrained Handwritten Chinese Characters. Int. J. Pattern Recognit. Artif. Intell. Daniel S. Yeung, Hank-Shun Fong, Eric C. C. Tsang, Wenhao Shu, Xiaolong Wang
2003	B	`conf`	Determining the relevance of input features for multilayer perceptrons. SMC Xiaoqin Zeng, Yajuan Huang, Daniel S. Yeung
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
2003	B	`conf`	Monotonic decision tree for ordinal classification. SMC John W. T. Lee, Daniel S. Yeung, Xizhao Wang
2003	J	`jnl`	OFFSS: optimal fuzzy-valued feature subset selection. IEEE Trans. Fuzzy Syst. Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang
2002	J	`jnl`	Improving Performance of Similarity-Based Clustering by Feature Weight Learning. IEEE Trans. Pattern Anal. Mach. Intell. Daniel S. Yeung, Xizhao Wang
2002	J	`jnl`	Ordinal fuzzy sets. IEEE Trans. Fuzzy Syst. John Wan Tung Lee, Daniel S. Yeung, Eric C. C. Tsang
2002	J	`jnl`	Tuning certainty factor and local weight of fuzzy production rules by using fuzzy neural network. IEEE Trans. Syst. Man Cybern. Part B Eric C. C. Tsang, John W. T. Lee, Daniel S. Yeung
2002	J	`jnl`	Using function approximation to analyze the sensitivity of MLP with antisymmetric squashing activation function. IEEE Trans. Neural Networks Daniel S. Yeung, Xuequan Sun
2001	A*	`conf`	A General Updating Rule for Discrete Hopfield-Type Neural Network with Delay. IJCAI Shenshan Qiu, Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang
2001	J	`jnl`	A General Updating Rule for Discrete Hopfield-Type Neural Network with Time-Delay and the Corresponding Search Algorithm. Int. J. Comput. Intell. Appl. Daniel S. Yeung, Shenshan Qiu, Eric C. C. Tsang, Xizhao Wang
2001	J	`jnl`	A comparative study on heuristic algorithms for generating fuzzy decision trees. IEEE Trans. Syst. Man Cybern. Part B Xizhao Wang, Daniel S. Yeung, Eric C. C. Tsang
2001	J	`jnl`	A new approach to fuzzy rule generation: fuzzy extension matrix. Fuzzy Sets Syst. Xizhao Wang, Yadong Wang, X. F. Xu, W. D. Ling, Daniel S. Yeung
2001	J	`jnl`	Determination of Context Window Size. Int. J. Comput. Process. Orient. Lang. Kei Yuen Hung, Robert W. P. Luk, Daniel S. Yeung, Korris Fu-Lai Chung, Wenhao Shu
2001	B	`conf`	From global weight to fuzzy measure: handling interaction among fuzzy rules. SMC Daniel S. Yeung, John W. T. Lee, Ming-Hu Ha
2001	B	`conf`	Learning weights of fuzzy production rules by a max-min neural network. SMC Eric C. C. Tsang, Daniel S. Yeung, Xi-Zhao Wang
2001	—	`ch.`	Neuro-Fuzzy Approach for Maintaining Case Bases. Soft Computing in Case Based Reasoning Simon C. K. Shiu, X. Z. Wang, Daniel S. Yeung
2001	A*	`conf`	Sensitivity Analysis of Multilayer Perceptron. IJCAI Daniel S. Yeung, Xuequan Sun, Xiaoqin Zeng
2001	J	`jnl`	Sensitivity analysis of multilayer perceptron to input and weight perturbations. IEEE Trans. Neural Networks Xiaoqin Zeng, Daniel S. Yeung
2001	—	`book`	Soft Computing in Case Based Reasoning Sankar K. Pal, Tharam S. Dillon, Daniel S. Yeung
2001	J	`jnl`	Transferring Case Knowledge to Adaptation Knowledge: An Approach for Case-Base Maintenance. Comput. Intell. Simon C. K. Shiu, Daniel S. Yeung, Cai Hung Sun, Xizhao Wang
2001	B	`conf`	Using neural network classifier in post-processing system for handwritten Chinese character recognition. SMC Ruifeng Xu, Daniel S. Yeung, Xizhao Wang
2000	A*	`conf`	Detection of Language (Model) Errors. EMNLP Kei Yuen Hung, Robert Wing Pong Luk, Daniel S. Yeung, Korris Fu-Lai Chung, Wenhao Shu
2000	—	`conf`	Digital library access for Chinese visually impaired. ACM DL Robert W. P. Luk, Daniel S. Yeung, Qin Lu, Eric Leung, S. Y. Li, Fred Leung
2000	B	`conf`	Fuzzy weighted classification rules induction from data. SMC Eric C. C. Tsang, Hongbing Li, Daniel S. Yeung, John W. T. Lee
2000	J	`jnl`	Improving learning accuracy of fuzzy decision trees by hybrid neural networks. IEEE Trans. Fuzzy Syst. Eric C. C. Tsang, Xizhao Wang, Daniel S. Yeung
2000	—	`conf`	Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees. EWCBR Simon C. K. Shiu, Cai Hung Sun, Xizhao Wang, Daniel S. Yeung
2000	B	`conf`	Mining fuzzy association rules with weighted items. SMC Yue Joyce Shu, Eric C. C. Tsang, Daniel S. Yeung, Daming Shi
2000	B	`conf`	Refinement of fuzzy production rules by neuro-fuzzy networks. SMC Eric C. C. Tsang, Shenshan Qiu, Daniel S. Yeung
2000	B	`conf`	Sensitivity analysis of multilayer perceptron to input perturbation. SMC Xiaoqin Zeng, Daniel S. Yeung, Xuequan Sun
2000	B	`conf`	Stability of discrete Hopfield neural networks with time-delay. SMC Shenshan Qiu, Eric C. C. Tsang, Daniel S. Yeung
2000	B	`conf`	Using a neuro-fuzzy technique to improve the clustering based on similarity. SMC Daniel S. Yeung, Xi-Zhao Wang
2000	B	`conf`	Using fuzzy integral to modeling case based reasoning with feature interaction. SMC Xi-Zhao Wang, Daniel S. Yeung
1999	J	`jnl`	Modelling flexible manufacturing systems using weighted Fuzzy Coloured Petri Nets. J. Intell. Fuzzy Syst. Daniel S. Yeung, Simon C. K. Shiu, Eric C. C. Tsang
1999	J	`jnl`	Neocognitron's Parameter Tuning by Genetic Algorithms. Int. J. Neural Syst. Daming Shi, Chunlei Dong, Daniel S. Yeung
1999	J	`jnl`	Sensitivity analysis of neocognitron. IEEE Trans. Syst. Man Cybern. Part C A. Y. Cheng, Daniel S. Yeung
1998	J	`jnl`	A multilevel weighted fuzzy reasoning algorithm for expert systems. IEEE Trans. Syst. Man Cybern. Part A Daniel S. Yeung, Eric C. C. Tsang
1998	B	`conf`	A proposed model for developing distributed programs by prototyping. SMC Allan K. Y. Wong, Daniel S. Yeung
1998	B	`conf`	Ambiguity handling of similar categories in handwritten Chinese character recognition. SMC Daniel S. Yeung, Hank-Shun Fong
1998	B	`conf`	An extension of a fuzzy substroke extractor. SMC Hank-Shun Fong, Daniel S. Yeung
1998	B	`conf`	Evaluation of printed circuit board assembly manufacturing systems using fuzzy colored Petri nets. SMC Simon C. K. Shiu, Eric C. C. Tsang, Daniel S. Yeung, Martin B. Lam
1998	B	`conf`	Experiments on the use of corpus-based word BI-gram in Chinese word segmentation. SMC Ruifeng Xu, Daniel S. Yeung
1998	B	`conf`	Neocognitron based handwriting recognition system performance tuning using genetic algorithm. SMC Daniel S. Yeung, Y. T. Cheng, Hank-Shun Fong, Fu-Lai Chung
1998	B	`conf`	Refinement of knowledge representation parameters in fuzzy production rules by genetic algorithms. SMC Eric C. C. Tsang, Daniel S. Yeung, John W. T. Lee
1998	B	`conf`	Refining local weights and certainty factors using a fuzzy neural network. SMC Eric C. C. Tsang, Daniel S. Yeung
1997	J	`jnl`	A comparative study on similarity-based fuzzy reasoning methods. IEEE Trans. Syst. Man Cybern. Part B Daniel S. Yeung, Eric C. C. Tsang
1997	—	`conf`	Acquiring and tuning knowledge representation parameters of fuzzy production rules using fuzzy expert networks. KES (2) Eric C. C. Tsang, Daniel S. Yeung
1997	—	`conf`	Formal verification of the correctness in hybrid expert systems. KES (2) Simon C. K. Shiu, James N. K. Liu, Daniel S. Yeung
1997	A	`conf`	Offline Handwritten Chinese Character Recognition viaRadical Extraction and Recognition. ICDAR Wilson W. S. Ip, Korris Fu-Lai Chung, Daniel S. Yeung
1997	J	`jnl`	Weighted fuzzy production rules. Fuzzy Sets Syst. Daniel S. Yeung, Eric C. C. Tsang
1996	—	`conf`	A Communication Layer for the Construction of Global, Transparent and Quasi-optimal Virtual Machines for Distributed Computing. ISPAN Allan K. Y. Wong, Daniel S. Yeung
1996	J	`jnl`	A fuzzy substroke extractor for handwritten Chinese characters. Pattern Recognit. Daniel S. Yeung, Hank-Shun Fong
1996	—	`conf`	Automatic Software Generation in the OORHS Distributed Computing Framework. ISPAN Daniel S. Yeung, Allan K. Y. Wong
1996	J	`jnl`	Behavioural modelling in object-oriented methodology. Inf. Softw. Technol. Paul Kai-On Chow, Daniel S. Yeung
1995	J	`jnl`	A knowledge matrix representation for a rule-mapped neural network. Neurocomputing Daniel S. Yeung, Raymond Hank-Shun Fong
1995	C	`conf`	Modelling Hybrid Rule/Frame-Based Expert Systems Using Coloured Petri Nets. IEA/AIE Simon C. K. Shiu, James N. K. Liu, Daniel S. Yeung
1994	J	`jnl`	A Hybrid Cognitive System Using Production Rules to Synthesize Neocognitrons. Int. J. Neural Syst. Daniel S. Yeung, Hing-Yip Chan
1994	J	`jnl`	Handwritten Chinese Character Recognition by Rule-Embedded Neocognitron. Neural Comput. Appl. Daniel S. Yeung, Hank-Shun Fong
1994	J	`jnl`	Improved fuzzy knowledge representation and rule evaluation using fuzzy petri nets and degree of subsethood. Int. J. Intell. Syst. Daniel S. Yeung, Eric C. C. Tsang
1994	J	`jnl`	Incorporating Production Rules with Spatial Information Onto a Neocognitron Neural Network. Int. J. Neural Syst. Daniel S. Yeung, Hing-Yip Chan, Kwan-Fai Cheung
1994	A*	`conf`	Knowledge Matrix - An Explanation & Knowledge Refinement Facility for a Rule Induced Neural Network. AAAI Daniel S. Yeung, Hank-Shun Fong