| 2021 | ICANN | Weakly Supervised Semantic Segmentation with Patch-Based Metric Learning Enhancement. | Patrick P. K. Chan, Keke Chen, Linyi Xu, Xiaoman Hu, Daniel S. Yeung |
| 2021 | ICANN | Multiple-Model Based Defense for Deep Reinforcement Learning Against Adversarial Attack. | Patrick P. K. Chan, Yaxuan Wang, Natasha Kees, Daniel S. Yeung |
| 2021 | IJCNN | Distribution-based Adversarial Filter Feature Selection against Evasion Attack. | Patrick P. K. Chan, Yuanchao Liang, Fei Zhang, Daniel S. Yeung |
| 2021 | IJCNN | Class-Specific Affinity based Weakly Supervised Semantic Segmentation with Neutral Region Exploration. | Keke Chen, Patrick P. K. Chan, Tianyi Xiang, Natasha Kees, Daniel S. Yeung |
| 2020 | CCS | Adversarial Attack against Deep Reinforcement Learning with Static Reward Impact Map. | Patrick P. K. Chan, Yaxuan Wang, Daniel S. Yeung |
| 2018 | ICMLC | Unsupervised Shilling Attack Detection Model Based on Rated Item Correlation Analysis. | Keke Chen, Patrick P. K. Chan, Daniel S. Yeung |
| 2018 | IJCAI | Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences. | Patrick P. K. Chan, Xian Hu, Lili Zhao, Daniel S. Yeung, Dapeng Liu, Lei Xiao |
| 2018 | SMC | Shilling Attack Detection Using Rated Item Correlation for Collaborative Filtering. | Keke Chen, Patrick P. K. Chan, Daniel S. Yeung |
| 2016 | ICMLC | Improving robustness against electrode shift of sEMG based hand gesture recognition using online semi-supervised learning. | Qiu Xia Li, Patrick P. K. Chan, Dalin Zhou, Yinfeng Fang, Honghai Liu, Daniel S. Yeung |
| 2014 | ICMLC | A Causative Attack Against Semi-supervised Learning. | Yujiao Li, Daniel S. Yeung |
| 2013 | ICMLC | An improved differential evolution and its application to determining feature weights in similarity based clustering. | Chun-Ru Dong, Daniel S. Yeung, Xi-Zhao Wang |
| 2013 | ICMLC | Greetings from the General Chairs. | Xizhao Wang, Daniel S. Yeung |
| 2012 | ICMLC | Recovering depth from images using adaptive depth from focus. | Bing-Zhong Jing, Daniel S. Yeung |
| 2012 | ICMLC | Sparse LS-SVM two-steps model selection method. | Binbin Sun, Daniel S. Yeung |
| 2011 | ICMLC | Multiple classifier system for short term load forecast of Microgrid. | Patrick P. K. Chan, Wei-Chun Chen, Wing W. Y. Ng, Daniel S. Yeung |
| 2011 | ICMLC | Dynamic hierarchical semantic network based image retrieval using relevance feedback. | Patrick P. K. Chan, Zhi-Chun Huang, Wing W. Y. Ng, Daniel S. Yeung |
| 2011 | ICMLC | Depth estimation from a single image using defocus cues. | Patrick P. K. Chan, Bing-Zhong Jing, Wing W. Y. Ng, Daniel S. Yeung |
| 2011 | ICMLC | Disturbance rejection using error estimation in neural network controller design. | Patrick P. K. Chan, Bo Peng, Wing W. Y. Ng, Daniel S. Yeung |
| 2011 | ICMLC | Sensitivity based Growing and Pruning method for RBF network in online learning environments. | Patrick P. K. Chan, Xi-Rong Wu, Wing W. Y. Ng, Daniel S. Yeung |
| 2011 | ICMLC | A novel method to reduce redundancy in adaptive threshold clustering key frame extraction systems. | Patrick P. K. Chan, Hui Yu, Wing W. Y. Ng, Daniel S. Yeung |
| 2011 | ICMLC | Dynamic base classifier pool for classifier selection in Multiple Classifier Systems. | Patrick P. K. Chan, Qin-Qin Zhang, Wing W. Y. Ng, Daniel S. Yeung |
| 2011 | ICMLC | A novel defend against good word attacks. | Patrick P. K. Chan, Fei Zhang, Wing W. Y. Ng, Daniel S. Yeung, Jinshan Jiang |
| 2011 | ICMLC | Comparision of different classifiers in fault detection in microgrid. | Patrick P. K. Chan, Jing Zhu, Zhi-Wei Qiu, Wing W. Y. Ng, Daniel S. Yeung |
| 2011 | ICMLC | A survey of the initialization of centers and widths in radial basis function network for classification. | Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung |
| 2011 | ICMLC | Empirical study on the architecture selection of RBFNN using L-GEM for multi-class problems. | Wing W. Y. Ng, Yao-Hong Chan, Patrick P. K. Chan, Daniel S. Yeung |
| 2011 | ICMLC | Efficiency of applying virtual reference tag to neural network based RFID indoor positioning method. | Wing W. Y. Ng, Hai-Lan Ding, Patrick P. K. Chan, Daniel S. Yeung |
| 2011 | ICMLC | Blind steganalysis with high generalization capability for different image databases using L-GEM. | Wing W. Y. Ng, Zhi-Min He, Patrick P. K. Chan, Daniel S. Yeung |
| 2011 | ICMLC | 3D Goods allocation in warehouse with L-GEM based 3-D RFID positioning. | Wing W. Y. Ng, Li Lin, Patrick P. K. Chan, Daniel S. Yeung |
| 2011 | ICMLC | Stock investment decision support for Hong Kong market using RBFNN based candlestick models. | Wing W. Y. Ng, Xue-Ling Liang, Patrick P. K. Chan, Daniel S. Yeung |
| 2011 | ICMLC | Multi-object tracking in video using Localized Generalization Error model based RBFNN. | Wing W. Y. Ng, Xian-Heng Ma, Patrick P. K. Chan, Daniel S. Yeung |
| 2011 | ICMLC | Intelligent book positioning for library using RFID and book spine matching. | Wing W. Y. Ng, Yi-Song Qiao, Li Lin, Hai-Lan Ding, Patrick P. K. Chan, Daniel S. Yeung |
| 2011 | ICMLC | News story clustering using L-GEM based RBFNN. | Wing W. Y. Ng, Xin Ran, Patrick P. K. Chan, Daniel S. Yeung |
| 2011 | ICMLC | A study on the effect of scaling functions to feature weighting performance. | Wing W. Y. Ng, Qian-Cheng Wang, Rui-Jie Yang, Patrick P. K. Chan, Daniel S. Yeung |
| 2011 | ICMLC | Social relationship discovery and face annotation in personal photo collection. | Wing W. Y. Ng, Timothy Tian-Ming Zheng, Patrick P. K. Chan, Daniel S. Yeung |
| 2010 | ICMLC | Moving average crossovers for short-term equity investment with L-GEM based RBFNN. | Gao-Yang Cai, Wing W. Y. Ng, Patrick P. K. Chan, Michael Firth, Daniel S. Yeung |
| 2010 | ICMLC | Empirical comparison of forward and backward search strategies in L-GEM based feature selection with RBFNN. | Yao-Hong Chan, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan |
| 2010 | ICMLC | Multiple classifier systems combined with localized generalization error for fault diagnosis of power transformers. | Wei-Chun Chen, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung |
| 2010 | ICMLC | Chaos synchronization of two uncertain chaotic nonlinear gyros using rotary sliding mode control. | Te-Yu Chen, Wei-Wei Zhang, Chih-Min Lin, Daniel S. Yeung |
| 2010 | ICMLC | RFID indoor positioning using RBFNN with L-GEM. | Hai-Lan Ding, Wing W. Y. Ng, Patrick P. K. Chan, Dong-Liang Wu, Xiao-Ling Chen, Daniel S. Yeung |
| 2010 | ICMLC | RFID reader deployment using RBFNN with L-GEM. | Hai-Lan Ding, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung, Dong-Liang Wu |
| 2010 | ICMLC | 2-Stage instance selection algorithm for KNN based on Nearest Unlike Neighbors. | Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung |
| 2010 | ICMLC | Feature selection for blind steganalysis using localized generalization error model. | Zhi-Min He, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung |
| 2010 | ICMLC | Content-based image retrieval using color moment and Gabor texture feature. | Zhi-Chun Huang, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung |
| 2010 | ICMLC | Anti-spoofing system for RFID access control combining with face recogntion. | Bing-Zhong Jing, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung |
| 2010 | ICMLC | Trademark classification by shape using ensemble of RBFNNs. | Weiwei Lai, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung |
| 2010 | ICMLC | CMAC-based fault accommodation control for tank system. | Chih-Min Lin, Chang-Chih Chung, Yu-Ju Liu, Daniel S. Yeung |
| 2010 | ICMLC | A growing architecture selection for Multilayer Perceptron Neural Network by the L-GEM. | Jin-Cheng Li, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung |
| 2010 | ICMLC | A novel approach on control simulation using neural network ensemble. | Bo Peng, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung |
| 2010 | ICMLC | Feature weighting based on L-GEM. | Qian-Cheng Wang, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung |
| 2010 | ICMLC | Access control by RFID and face recognition based on neural network. | Dong-Liang Wu, Wing W. Y. Ng, Patrick P. K. Chan, Hai-Lan Ding, Bing-Zhong Jing, Daniel S. Yeung |
| 2010 | ICMLC | L-GEM based RBFNN for news anchorperson detection with Dominant Color Descriptor. | Wei Xiao, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung |
| 2010 | ICMLC | Construction of radial basis function neural networks via a minimization of its localized generalization error. | Daniel S. Yeung, Binbin Sun, Wing W. Y. Ng, Patrick P. K. Chan |
| 2010 | ICMLC | Apply randomization in KNN to make the adversary harder to attack the classifier. | Hui Yu, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung |
| 2010 | ICMLC | A novel gradient synthesis-based illumination formalization method for face recognition under varying lighting conditions. | Li Zhao, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung |
| 2010 | ICMLC | Shape-based image retrieval of Chinese paper-cutting using RBFNN with invariant moment. | Timothy Tian-Ming Zheng, Wing W. Y. Ng, Xu-Sheng Huang, Shi-Ting Yang, Patrick P. K. Chan, Weiwei Lai, Daniel S. Yeung |
| 2010 | SMC | Steganography detection using localized generalization error model. | Zhi-Min He, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung |
| 2009 | ADMA | Sensitivity Based Generalization Error for Supervised Learning Problems with Application in Feature Selection. | Daniel S. Yeung |
| 2009 | ICINCO | Sensitivity based Generalization Error for Supervised Learning Problem with Applications in Model Selection and Feature Selection. | Daniel S. Yeung |
| 2009 | SMC | IPCM Separability Ratio for Supervised Feature Selection. | Wing W. Y. Ng, Jun Wang, Daniel S. Yeung |
| 2009 | SMC | A Novel Dynamic Fusion Method Using Localized Generalization Error Model. | Daniel S. Yeung, Patrick P. K. Chan |
| 2008 | SMC | Quantitative study on candlestick pattern for Shenzhen Stock Market. | Huili Li, Wing W. Y. Ng, John Wan Tung Lee, Binbin Sun, Daniel S. Yeung |
| 2008 | SMC | Information extraction based on information fusion from multiple news sources from the web. | Yang Lv, Wing W. Y. Ng, John Wan Tung Lee, Binbin Sun, Daniel S. Yeung |
| 2008 | SMC | Localized generalization error based active learning for image annotation. | Binbin Sun, Wing W. Y. Ng, Daniel S. Yeung, Jun Wang |
| 2007 | SMC | Neural network ensemble pruning using sensitivity measure in web applications. | Patrick P. K. Chan, Xiaoqin Zeng, Eric C. C. Tsang, Daniel S. Yeung, John W. T. Lee |
| 2007 | SMC | Heuristic improvement for active learning using localized generalization error as selection criterion. | Wing W. Y. Ng, Binbin Sun, Daniel S. Yeung, Xizhao Wang |
| 2006 | ICPR | Improving Text Classifier Performance based on AUC. | Alex K. S. Wong, John W. T. Lee, Daniel S. Yeung |
| 2006 | SMC | Bankruptcy Prediction Using Multiple Classifier System with Mutual Information Feature Grouping. | Aki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang, Michael Firth |
| 2006 | SMC | Structured Large Margin Machine Ensemble. | Patrick P. K. Chan, Defeng Wang, Eric C. C. Tsang, Daniel S. Yeung |
| 2006 | SMC | Learning Web Categorization with Controlled Generation of Context Features. | Alex K. S. Wong, John W. T. Lee, Daniel S. Yeung |
| 2005 | ICMLC | Empirical Study on Fusion Methods Using Ensemble of RBFNN for Network Intrusion Detection. | Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang, Wing W. Y. Ng |
| 2005 | ICMLC | A Covariance Matrix Based Approach to Internet Anomaly Detection. | Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang |
| 2005 | ICMLC | Construction of High Precision RBFNN with Low False Alarm for Detecting Flooding Based Denial of Service Attacks Using Stochastic Sensitivity Measure. | Wing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang |
| 2005 | ICMLC | Learning from an Incomplete Information System with Continuous-Valued Attributes by a Rough Set Technique. | Eric C. C. Tsang, Suyun Zhao, Daniel S. Yeung, John W. T. Lee |
| 2005 | ICMLC | Sensitivity Analysis of Madalines to Weight Perturbation. | Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung |
| 2005 | ICMLC | Use of Linguistic Features in Context-Sensitive Text Classification. | Alex K. S. Wong, John W. T. Lee, Daniel S. Yeung |
| 2005 | KES | Multiple Classifier System with Feature Grouping for Intrusion Detection: Mutual Information Approach. | Aki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang |
| 2005 | MICCAI | Support Vector Clustering for Brain Activation Detection. | Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann Heng, Tien-Tsin Wong, Eric C. C. Tsang |
| 2005 | SMC | Active learning using localized generalization error of candidate sample as criterion. | Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung |
| 2005 | SMC | A feature space analysis for anomaly detection. | Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang |
| 2005 | SMC | Quantitative study on the generalization error of multiple classifier systems. | Wing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang |
| 2005 | SMC | On attributes reduction with fuzzy rough sets. | Gloria C. Y. Tsang, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Daniel S. Yeung |
| 2005 | SMC | Stability Analysis of Discrete Hopfield Neural Networks With Delay and Its Application. | Eric C. C. Tsang, Aki P. F. Chan, Daniel S. Yeung, S. S. Qiu |
| 2004 | AI | Radial Basis Function Network Pruning by Sensitivity Analysis. | Daming Shi, Junbin Gao, Daniel S. Yeung, Fei Chen |
| 2004 | ICPR | Critical Vector Learning to Construct RBF Classifiers. | Daming Shi, Geok See Ng, Junbin Gao, Daniel S. Yeung |
| 2004 | SMC | Quantitative study on effect of center selection to RBFNN classification performance. | Wing W. Y. Ng, Daniel S. Yeung, Ian Cloete |
| 2004 | SMC | A study on generalization capability of weighted fuzzy production rules with maximum entropy. | Xizhao Wang, Chunru Dong, Daniel S. Yeung |
| 2003 | SMC | Monotonic decision tree for ordinal classification. | John W. T. Lee, Daniel S. Yeung, Xizhao Wang |
| 2003 | SMC | Input sample selection for RBF neural network classification problems using sensitivity measure. | Wing W. Y. Ng, Daniel S. Yeung, Ian Cloete |
| 2003 | SMC | Determining the relevance of input features for multilayer perceptrons. | Xiaoqin Zeng, Yajuan Huang, Daniel S. Yeung |
| 2001 | IJCAI | A General Updating Rule for Discrete Hopfield-Type Neural Network with Delay. | Shenshan Qiu, Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang |
| 2001 | IJCAI | Sensitivity Analysis of Multilayer Perceptron. | Daniel S. Yeung, Xuequan Sun, Xiaoqin Zeng |
| 2001 | SMC | Learning weights of fuzzy production rules by a max-min neural network. | Eric C. C. Tsang, Daniel S. Yeung, Xi-Zhao Wang |
| 2001 | SMC | Using neural network classifier in post-processing system for handwritten Chinese character recognition. | Ruifeng Xu, Daniel S. Yeung, Xizhao Wang |
| 2001 | SMC | From global weight to fuzzy measure: handling interaction among fuzzy rules. | Daniel S. Yeung, John W. T. Lee, Ming-Hu Ha |
| 2000 | EMNLP | Detection of Language (Model) Errors. | Kei Yuen Hung, Robert Wing Pong Luk, Daniel S. Yeung, Korris Fu-Lai Chung, Wenhao Shu |
| 2000 | SMC | Stability of discrete Hopfield neural networks with time-delay. | Shenshan Qiu, Eric C. C. Tsang, Daniel S. Yeung |
| 2000 | SMC | Mining fuzzy association rules with weighted items. | Yue Joyce Shu, Eric C. C. Tsang, Daniel S. Yeung, Daming Shi |
| 2000 | SMC | Fuzzy weighted classification rules induction from data. | Eric C. C. Tsang, Hongbing Li, Daniel S. Yeung, John W. T. Lee |
| 2000 | SMC | Refinement of fuzzy production rules by neuro-fuzzy networks. | Eric C. C. Tsang, Shenshan Qiu, Daniel S. Yeung |
| 2000 | SMC | Using fuzzy integral to modeling case based reasoning with feature interaction. | Xi-Zhao Wang, Daniel S. Yeung |
| 2000 | SMC | Using a neuro-fuzzy technique to improve the clustering based on similarity. | Daniel S. Yeung, Xi-Zhao Wang |
| 2000 | SMC | Sensitivity analysis of multilayer perceptron to input perturbation. | Xiaoqin Zeng, Daniel S. Yeung, Xuequan Sun |
| 1998 | SMC | An extension of a fuzzy substroke extractor. | Hank-Shun Fong, Daniel S. Yeung |
| 1998 | SMC | Evaluation of printed circuit board assembly manufacturing systems using fuzzy colored Petri nets. | Simon C. K. Shiu, Eric C. C. Tsang, Daniel S. Yeung, Martin B. Lam |
| 1998 | SMC | Refining local weights and certainty factors using a fuzzy neural network. | Eric C. C. Tsang, Daniel S. Yeung |
| 1998 | SMC | Refinement of knowledge representation parameters in fuzzy production rules by genetic algorithms. | Eric C. C. Tsang, Daniel S. Yeung, John W. T. Lee |
| 1998 | SMC | A proposed model for developing distributed programs by prototyping. | Allan K. Y. Wong, Daniel S. Yeung |
| 1998 | SMC | Experiments on the use of corpus-based word BI-gram in Chinese word segmentation. | Ruifeng Xu, Daniel S. Yeung |
| 1998 | SMC | Neocognitron based handwriting recognition system performance tuning using genetic algorithm. | Daniel S. Yeung, Y. T. Cheng, Hank-Shun Fong, Fu-Lai Chung |
| 1998 | SMC | Ambiguity handling of similar categories in handwritten Chinese character recognition. | Daniel S. Yeung, Hank-Shun Fong |
| 1997 | ICDAR | Offline Handwritten Chinese Character Recognition viaRadical Extraction and Recognition. | Wilson W. S. Ip, Korris Fu-Lai Chung, Daniel S. Yeung |
| 1997 | KES | Formal verification of the correctness in hybrid expert systems. | Simon C. K. Shiu, James N. K. Liu, Daniel S. Yeung |
| 1997 | KES | Acquiring and tuning knowledge representation parameters of fuzzy production rules using fuzzy expert networks. | Eric C. C. Tsang, Daniel S. Yeung |
| 1994 | AAAI | Knowledge Matrix - An Explanation & Knowledge Refinement Facility for a Rule Induced Neural Network. | Daniel S. Yeung, Hank-Shun Fong |