Daniel S. Yeung

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 35

Top Venues

Neurocomputing

Int. J. Mach. Learn. Cybern.

IEEE Trans. Cybern.

Inf. Sci.

Publications

Patrick P. K. Chan, Chuanxin Zhang, Haitao Chen, Jingwen Deng, Xiao Meng, Daniel S. Yeung
Evasion on general GAN-generated image detection by disentangled representation. Inf. Sci. 683 (2024)
Patrick P. K. Chan, Shute Li, Jingwen Deng, Daniel S. Yeung
Multi-proxy based deep metric learning. Inf. Sci. 643 (2023)
Patrick P. K. Chan, Qiu Xia Li, Yinfeng Fang, Linyi Xu, Kairu Li, Honghai Liu, Daniel S. Yeung
Unsupervised Domain Adaptation for Gesture Identification Against Electrode Shift. IEEE Trans. Hum. Mach. Syst. 52 (6) (2022)
Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng
Item Relationship Graph Neural Networks for E-Commerce. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Patrick P. K. Chan, Xiaotian Wang, Zhe Lin, Daniel S. Yeung
Progressive editing with stacked Generative Adversarial Network for multiple facial attribute editing. Comput. Vis. Image Underst. 217 (2022)
Patrick P. K. Chan, Fengzhi Luo, Zitong Chen, Ying Shu, Daniel S. Yeung
Transfer learning based countermeasure against label flipping poisoning attack. Inf. Sci. 548 (2021)
Patrick P. K. Chan, Juan Zheng, Han Liu, Eric C. C. Tsang, Daniel S. Yeung
Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack. Appl. Soft Comput. 107 (2021)
Patrick P. K. Chan, Keke Chen, Linyi Xu, Xiaoman Hu, Daniel S. Yeung
Weakly Supervised Semantic Segmentation with Patch-Based Metric Learning Enhancement. ICANN (3) (2021)
Patrick P. K. Chan, Yuanchao Liang, Fei Zhang, Daniel S. Yeung
Distribution-based Adversarial Filter Feature Selection against Evasion Attack. IJCNN (2021)
Keke Chen, Patrick P. K. Chan, Tianyi Xiang, Natasha Kees, Daniel S. Yeung
Class-Specific Affinity based Weakly Supervised Semantic Segmentation with Neutral Region Exploration. IJCNN (2021)
Patrick P. K. Chan, Zhi-Min He, Xian Hu, Eric C. C. Tsang, Daniel S. Yeung, Wing W. Y. Ng
Causative label flip attack detection with data complexity measures. Int. J. Mach. Learn. Cybern. 12 (1) (2021)
Patrick P. K. Chan, Yaxuan Wang, Natasha Kees, Daniel S. Yeung
Multiple-Model Based Defense for Deep Reinforcement Learning Against Adversarial Attack. ICANN (1) (2021)
Patrick P. K. Chan, Yaxuan Wang, Daniel S. Yeung
Adversarial Attack against Deep Reinforcement Learning with Static Reward Impact Map. AsiaCCS (2020)
Fei Zhang, Patrick P. K. Chan, Battista Biggio, Daniel S. Yeung, Fabio Roli
Adversarial Feature Selection against Evasion Attacks. CoRR (2020)
Wing W. Y. Ng, Xing Tian, Witold Pedrycz, Xizhao Wang, Daniel S. Yeung
Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. 49 (11) (2019)
Wing W. Y. Ng, Xiancheng Zhou, Xing Tian, Xizhao Wang, Daniel S. Yeung
Bagging-boosting-based semi-supervised multi-hashing with query-adaptive re-ranking. Neurocomputing 275 (2018)
Keke Chen, Patrick P. K. Chan, Daniel S. Yeung
Shilling Attack Detection Using Rated Item Correlation for Collaborative Filtering. SMC (2018)
Patrick P. K. Chan, Weiwen Liu, Danni Chen, Daniel S. Yeung, Fei Zhang, Xizhao Wang, Chien-Chang Hsu
Face Liveness Detection Using a Flash Against 2D Spoofing Attack. IEEE Trans. Inf. Forensics Secur. 13 (2) (2018)
Keke Chen, Patrick P. K. Chan, Daniel S. Yeung
Unsupervised Shilling Attack Detection Model Based on Rated Item Correlation Analysis. ICMLC (2018)
Patrick P. K. Chan, Xian Hu, Lili Zhao, Daniel S. Yeung, Dapeng Liu, Lei Xiao
Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences. IJCAI (2018)
Wing W. Y. Ng, Yueming Lv, Ziqian Zeng, Daniel S. Yeung, Patrick P. K. Chan
Sequential conditional entropy maximization semi-supervised hashing for semantic image retrieval. Int. J. Mach. Learn. Cybern. 8 (2) (2017)
Patrick P. K. Chan, Zhe Lin, Xian Hu, Eric C. C. Tsang, Daniel S. Yeung
Sensitivity based robust learning for stacked autoencoder against evasion attack. Neurocomputing 267 (2017)
Wing W. Y. Ng, Xing Tian, Yueming Lv, Daniel S. Yeung, Witold Pedrycz
Incremental Hashing for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. 47 (11) (2017)
Wing W. Y. Ng, Guangjun Zeng, Jiangjun Zhang, Daniel S. Yeung, Witold Pedrycz
Dual autoencoders features for imbalance classification problem. Pattern Recognit. 60 (2016)
Fei Zhang, Patrick P. K. Chan, Battista Biggio, Daniel S. Yeung, Fabio Roli
Adversarial Feature Selection Against Evasion Attacks. IEEE Trans. Cybern. 46 (3) (2016)
Daniel S. Yeung, Jin-Cheng Li, Wing W. Y. Ng, Patrick P. K. Chan
MLPNN Training via a Multiobjective Optimization of Training Error and Stochastic Sensitivity. IEEE Trans. Neural Networks Learn. Syst. 27 (5) (2016)
Qiu Xia Li, Patrick P. K. Chan, Dalin Zhou, Yinfeng Fang, Honghai Liu, Daniel S. Yeung
Improving robustness against electrode shift of sEMG based hand gesture recognition using online semi-supervised learning. ICMLC (2016)
Patrick P. K. Chan, Cheng Yang, Daniel S. Yeung, Wing W. Y. Ng
Spam filtering for short messages in adversarial environment. Neurocomputing 155 (2015)
Zhi-Min He, Patrick P. K. Chan, Daniel S. Yeung, Witold Pedrycz, Wing W. Y. Ng
Quantification of side-channel information leaks based on data complexity measures for web browsing. Int. J. Mach. Learn. Cybern. 6 (4) (2015)
Yueming Lv, Wing W. Y. Ng, Ziqian Zeng, Daniel S. Yeung, Patrick P. K. Chan
Asymmetric Cyclical Hashing for Large Scale Image Retrieval. IEEE Trans. Multim. 17 (8) (2015)
Battista Biggio, Igino Corona, Zhi-Min He, Patrick P. K. Chan, Giorgio Giacinto, Daniel S. Yeung, Fabio Roli
One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time. MCS (2015)
Wing W. Y. Ng, Jinchen Li, Shaoyong Feng, Daniel S. Yeung, Patrick P. K. Chan
Sensitivity based image filtering for multi-hashing in large scale image retrieval problems. Int. J. Mach. Learn. Cybern. 6 (5) (2015)
Lidia S. Chao, Derek F. Wong, Philip C. L. Chen, Wing W. Y. Ng, Daniel S. Yeung
Benefiting feature selection by the discovery of false irrelevant attributes. Int. J. Wavelets Multiresolution Inf. Process. 13 (4) (2015)
Wing W. Y. Ng, Junjie Hu, Daniel S. Yeung, Shaohua Yin, Fabio Roli
Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems. IEEE Trans. Cybern. 45 (11) (2015)
Wing W. Y. Ng, Yueming Lv, Daniel S. Yeung, Patrick P. K. Chan
Two-phase mapping hashing. Neurocomputing 151 (2015)
Yujiao Li, Daniel S. Yeung
A Causative Attack Against Semi-supervised Learning. ICMLC (CCIS volume) (2014)
Wing W. Y. Ng, Xue-Ling Liang, Jin-Cheng Li, Daniel S. Yeung, Patrick P. K. Chan
LG-Trader: Stock trading decision support based on feature selection by weighted localized generalization error model. Neurocomputing 146 (2014)
Chunru Dong, Wing W. Y. Ng, Xi-Zhao Wang, Patrick P. K. Chan, Daniel S. Yeung
An improved differential evolution and its application to determining feature weights in similarity-based clustering. Neurocomputing 146 (2014)
Jin-Cheng Li, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan
Bi-firing deep neural networks. Int. J. Mach. Learn. Cybern. 5 (1) (2014)
Wing W. Y. Ng, Zhi-Min He, Daniel S. Yeung, Patrick P. K. Chan
Steganalysis classifier training via minimizing sensitivity for different imaging sources. Inf. Sci. 281 (2014)
Binbin Sun, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan
Hyper-parameter Selection for Sparse LS-SVM via Minimization of its Localized Generalization Error. Int. J. Wavelets Multiresolution Inf. Process. 11 (3) (2013)
Chun-Ru Dong, Daniel S. Yeung, Xi-Zhao Wang
An improved differential evolution and its application to determining feature weights in similarity based clustering. ICMLC (2013)
Xizhao Wang, Daniel S. Yeung
Greetings from the General Chairs. ICMLC (2013)
Bing-Zhong Jing, Daniel S. Yeung
Recovering depth from images using adaptive depth from focus. ICMLC (2012)
Binbin Sun, Daniel S. Yeung
Sparse LS-SVM two-steps model selection method. ICMLC (2012)
Patrick P. K. Chan, Daniel S. Yeung, Wing W. Y. Ng, Chih-Min Lin, James N. K. Liu
Dynamic fusion method using Localized Generalization Error Model. Inf. Sci. 217 (2012)
Wing W. Y. Ng, Xin Ran, Patrick P. K. Chan, Daniel S. Yeung
News story clustering using L-GEM based RBFNN. ICMLC (2011)
Wing W. Y. Ng, Yao-Hong Chan, Patrick P. K. Chan, Daniel S. Yeung
Empirical study on the architecture selection of RBFNN using L-GEM for multi-class problems. ICMLC (2011)
Witold Pedrycz, Daniel S. Yeung, Xizhao Wang
Recent advances on machine learning and Cybernetics. Soft Comput. 15 (6) (2011)
Patrick P. K. Chan, Xi-Rong Wu, Wing W. Y. Ng, Daniel S. Yeung
Sensitivity based Growing and Pruning method for RBF network in online learning environments. ICMLC (2011)
Patrick P. K. Chan, Fei Zhang, Wing W. Y. Ng, Daniel S. Yeung, Jinshan Jiang
A novel defend against good word attacks. ICMLC (2011)
Wing W. Y. Ng, Qian-Cheng Wang, Rui-Jie Yang, Patrick P. K. Chan, Daniel S. Yeung
A study on the effect of scaling functions to feature weighting performance. ICMLC (2011)
Wing W. Y. Ng, Xue-Ling Liang, Patrick P. K. Chan, Daniel S. Yeung
Stock investment decision support for Hong Kong market using RBFNN based candlestick models. ICMLC (2011)
Wing W. Y. Ng, Zhi-Min He, Patrick P. K. Chan, Daniel S. Yeung
Blind steganalysis with high generalization capability for different image databases using L-GEM. ICMLC (2011)
Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
A survey of the initialization of centers and widths in radial basis function network for classification. ICMLC (2011)
Wing W. Y. Ng, Hai-Lan Ding, Patrick P. K. Chan, Daniel S. Yeung
Efficiency of applying virtual reference tag to neural network based RFID indoor positioning method. ICMLC (2011)
Wing W. Y. Ng, Li Lin, Patrick P. K. Chan, Daniel S. Yeung
3D Goods allocation in warehouse with L-GEM based 3-D RFID positioning. ICMLC (2011)
Patrick P. K. Chan, Jing Zhu, Zhi-Wei Qiu, Wing W. Y. Ng, Daniel S. Yeung
Comparision of different classifiers in fault detection in microgrid. ICMLC (2011)
Patrick P. K. Chan, Wei-Chun Chen, Wing W. Y. Ng, Daniel S. Yeung
Multiple classifier system for short term load forecast of Microgrid. ICMLC (2011)
Patrick P. K. Chan, Qin-Qin Zhang, Wing W. Y. Ng, Daniel S. Yeung
Dynamic base classifier pool for classifier selection in Multiple Classifier Systems. ICMLC (2011)
Patrick P. K. Chan, Bo Peng, Wing W. Y. Ng, Daniel S. Yeung
Disturbance rejection using error estimation in neural network controller design. ICMLC (2011)
Patrick P. K. Chan, Hui Yu, Wing W. Y. Ng, Daniel S. Yeung
A novel method to reduce redundancy in adaptive threshold clustering key frame extraction systems. ICMLC (2011)
Wing W. Y. Ng, Timothy Tian-Ming Zheng, Patrick P. K. Chan, Daniel S. Yeung
Social relationship discovery and face annotation in personal photo collection. ICMLC (2011)
Wing W. Y. Ng, Xian-Heng Ma, Patrick P. K. Chan, Daniel S. Yeung
Multi-object tracking in video using Localized Generalization Error model based RBFNN. ICMLC (2011)
Patrick P. K. Chan, Bing-Zhong Jing, Wing W. Y. Ng, Daniel S. Yeung
Depth estimation from a single image using defocus cues. ICMLC (2011)
Patrick P. K. Chan, Zhi-Chun Huang, Wing W. Y. Ng, Daniel S. Yeung
Dynamic hierarchical semantic network based image retrieval using relevance feedback. ICMLC (2011)
Wing W. Y. Ng, Yi-Song Qiao, Li Lin, Hai-Lan Ding, Patrick P. K. Chan, Daniel S. Yeung
Intelligent book positioning for library using RFID and book spine matching. ICMLC (2011)
Weiwei Lai, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung
Trademark classification by shape using ensemble of RBFNNs. ICMLC (2010)
Zhi-Chun Huang, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
Content-based image retrieval using color moment and Gabor texture feature. ICMLC (2010)
Wei-Chun Chen, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
Multiple classifier systems combined with localized generalization error for fault diagnosis of power transformers. ICMLC (2010)
Te-Yu Chen, Wei-Wei Zhang, Chih-Min Lin, Daniel S. Yeung
Chaos synchronization of two uncertain chaotic nonlinear gyros using rotary sliding mode control. ICMLC (2010)
Bo Peng, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
A novel approach on control simulation using neural network ensemble. ICMLC (2010)
Dong-Liang Wu, Wing W. Y. Ng, Patrick P. K. Chan, Hai-Lan Ding, Bing-Zhong Jing, Daniel S. Yeung
Access control by RFID and face recognition based on neural network. ICMLC (2010)
Chih-Min Lin, Li-Yang Chen, Daniel S. Yeung
Adaptive filter design using recurrent cerebellar model articulation controller. IEEE Trans. Neural Networks 21 (7) (2010)
Li Zhao, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
A novel gradient synthesis-based illumination formalization method for face recognition under varying lighting conditions. ICMLC (2010)
Hui Yu, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
Apply randomization in KNN to make the adversary harder to attack the classifier. ICMLC (2010)
Jin-Cheng Li, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung
A growing architecture selection for Multilayer Perceptron Neural Network by the L-GEM. ICMLC (2010)
Zhi-Min He, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung
Steganography detection using localized generalization error model. SMC (2010)
Wei Xiao, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung
L-GEM based RBFNN for news anchorperson detection with Dominant Color Descriptor. ICMLC (2010)
Bing-Zhong Jing, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
Anti-spoofing system for RFID access control combining with face recogntion. ICMLC (2010)
Daniel S. Yeung, Binbin Sun, Wing W. Y. Ng, Patrick P. K. Chan
Construction of radial basis function neural networks via a minimization of its localized generalization error. ICMLC (2010)
Zhi-Min He, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung
Feature selection for blind steganalysis using localized generalization error model. ICMLC (2010)
Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung
2-Stage instance selection algorithm for KNN based on Nearest Unlike Neighbors. ICMLC (2010)
Qian-Cheng Wang, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung
Feature weighting based on L-GEM. ICMLC (2010)
Timothy Tian-Ming Zheng, Wing W. Y. Ng, Xu-Sheng Huang, Shi-Ting Yang, Patrick P. K. Chan, Weiwei Lai, Daniel S. Yeung
Shape-based image retrieval of Chinese paper-cutting using RBFNN with invariant moment. ICMLC (2010)
Hai-Lan Ding, Wing W. Y. Ng, Patrick P. K. Chan, Dong-Liang Wu, Xiao-Ling Chen, Daniel S. Yeung
RFID indoor positioning using RBFNN with L-GEM. ICMLC (2010)
Gao-Yang Cai, Wing W. Y. Ng, Patrick P. K. Chan, Michael Firth, Daniel S. Yeung
Moving average crossovers for short-term equity investment with L-GEM based RBFNN. ICMLC (2010)
Yao-Hong Chan, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan
Empirical comparison of forward and backward search strategies in L-GEM based feature selection with RBFNN. ICMLC (2010)
Hai-Lan Ding, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung, Dong-Liang Wu
RFID reader deployment using RBFNN with L-GEM. ICMLC (2010)
Chih-Min Lin, Chang-Chih Chung, Yu-Ju Liu, Daniel S. Yeung
CMAC-based fault accommodation control for tank system. ICMLC (2010)
Daniel S. Yeung
Sensitivity Based Generalization Error for Supervised Learning Problems with Application in Feature Selection. ADMA (2009)
Daniel S. Yeung, Patrick P. K. Chan
A Novel Dynamic Fusion Method Using Localized Generalization Error Model. SMC (2009)
Daniel S. Yeung, Patrick P. K. Chan, Wing W. Y. Ng
Radial Basis Function network learning using localized generalization error bound. Inf. Sci. 179 (19) (2009)
Wing W. Y. Ng, Jun Wang, Daniel S. Yeung
IPCM Separability Ratio for Supervised Feature Selection. SMC (2009)
Daniel S. Yeung
Sensitivity based Generalization Error for Supervised Learning Problem with Applications in Model Selection and Feature Selection. ICINCO-ICSO (2009)
Huili Li, Wing W. Y. Ng, John Wan Tung Lee, Binbin Sun, Daniel S. Yeung
Quantitative study on candlestick pattern for Shenzhen Stock Market. SMC (2008)
Wing W. Y. Ng, Daniel S. Yeung, Michael Firth, Eric C. C. Tsang, Xizhao Wang
Feature selection using localized generalization error for supervised classification problems using RBFNN. Pattern Recognit. 41 (12) (2008)
Eric C. C. Tsang, Degang Chen, Daniel S. Yeung
Approximations and reducts with covering generalized rough sets. Comput. Math. Appl. 56 (1) (2008)
Aki P. F. Chan, Patrick P. K. Chan, Wing W. Y. Ng, Eric C. C. Tsang, Daniel S. Yeung
A Novel Feature Grouping Method for Ensemble Neural Network Using Localized Generalization Error Model. Int. J. Pattern Recognit. Artif. Intell. 22 (1) (2008)
Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang
The Localized Generalization Error Model for Single Layer Perceptron Neural Network and Sigmoid Support Vector Machine. Int. J. Pattern Recognit. Artif. Intell. 22 (1) (2008)

Daniel S. Yeung.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Daniel S. Yeung