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Patrick P. K. Chan
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2020 – today
- 2024
- [j32]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: 121267 (2024) - 2023
- [j31]Patrick P. K. Chan, Shute Li, Jingwen Deng, Daniel S. Yeung:
Multi-proxy based deep metric learning. Inf. Sci. 643: 119120 (2023) - [c70]Xujie Lin
An Ensemble Model using Face and Pose Tracking for Engagement Detection in Game-based Rehabilitation. CACML 2023: 445-449 - [c69]Jian Shu, Yu-De Li, Ying-Ying Liu, Yi-Zhu Chen, Patrick P. K. Chan, Yitong Zhou, Longhan Xie:
Skeleton Based Hand Missing Score Evaluation System. ICMLC 2023: 381-386 - [c68]Zhuohuang Chen, Zhimin He, Yan Zhou, Patrick P. K. Chan, Fei Zhang, Haozhen Situ
CAS-NN: A Robust Cascade Neural Network Without Compromising Clean Accuracy. ICONIP (2) 2023: 494-505 - 2022
- [j30]Patrick P. K. Chan, Xiaotian Wang
Progressive editing with stacked Generative Adversarial Network for multiple facial attribute editing. Comput. Vis. Image Underst. 217: 103347 (2022) - [j29]Junhao Zheng, Patrick P. K. Chan, Huiyang Chi, Zhi-Min He:
A concealed poisoning attack to reduce deep neural networks' robustness against adversarial samples. Inf. Sci. 615: 758-773 (2022) - [j28]Patrick P. K. Chan
Unsupervised Domain Adaptation for Gesture Identification Against Electrode Shift. IEEE Trans. Hum. Mach. Syst. 52(6): 1271-1280 (2022) - [j27]Weiwen Liu
Item Relationship Graph Neural Networks for E-Commerce. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4785-4799 (2022) - 2021
- [j26]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: 107311 (2021) - [j25]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: 450-460 (2021) - [j24]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): 103-116 (2021) - [j23]Patrick P. K. Chan, Meng Xiao, Xinran Qin, Natasha Kees:
Dynamic fusion for ensemble of deep Q-network. Int. J. Mach. Learn. Cybern. 12(4): 1031-1040 (2021) - [c67]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: 42-53 - [c66]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: 471-482 - [c65]Patrick P. K. Chan, Yuanchao Liang, Fei Zhang, Daniel S. Yeung:
Distribution-based Adversarial Filter Feature Selection against Evasion Attack. IJCNN 2021: 1-8 - [c64]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: 1-8 - 2020
- [c63]Patrick P. K. Chan, Yaxuan Wang, Daniel S. Yeung:
Adversarial Attack against Deep Reinforcement Learning with Static Reward Impact Map. AsiaCCS 2020: 334-343 - [c62]Junhao Zheng, Xiaoman Hu, Tianyi Xiang, Patrick P. K. Chan:
Dual-Path Model for Person Re-Identification Under Cloth Changing. ICMLC 2020: 291-297 - [c61]Natasha Kees, Yaxuan Wang, Yiling Jiang, Fang Lue, Patrick P. K. Chan:
Segmentation Based Backdoor Attack Detection. ICMLC 2020: 298-302 - [i1]Fei Zhang, Patrick P. K. Chan, Battista Biggio, Daniel S. Yeung, Fabio Roli:
Adversarial Feature Selection against Evasion Attacks. CoRR abs/2005.12154 (2020)
2010 – 2019
- 2019
- [j22]Keke Chen, Patrick P. K. Chan
Shilling attack based on item popularity and rated item correlation against collaborative filtering. Int. J. Mach. Learn. Cybern. 10(7): 1833-1845 (2019) - [c60]Shilong Feng, Haoqin Xie, Hongbo Yin, Xiaopeng Chen, Deshun Yang, Patrick P. K. Chan:
Class Size Variance Minimization to Metric Learning for Dish Identification. ICMLC 2019: 1-6 - 2018
- [j21]Patrick P. K. Chan, Zhi-Min He, Hongjiang Li, Chien-Chang Hsu
Data sanitization against adversarial label contamination based on data complexity. Int. J. Mach. Learn. Cybern. 9(6): 1039-1052 (2018) - [j20]Runzong Liu
A fast convex hull algorithm inspired by human visual perception. Multim. Tools Appl. 77(23): 31221-31237 (2018) - [j19]Patrick P. K. Chan, Weiwen Liu
Face Liveness Detection Using a Flash Against 2D Spoofing Attack. IEEE Trans. Inf. Forensics Secur. 13(2): 521-534 (2018) - [c59]Keke Chen, Patrick P. K. Chan, Daniel S. Yeung:
Unsupervised Shilling Attack Detection Model Based on Rated Item Correlation Analysis. ICMLC 2018: 667-672 - [c58]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: 2007-2013 - [c57]Keke Chen, Patrick P. K. Chan, Daniel S. Yeung:
Shilling Attack Detection Using Rated Item Correlation for Collaborative Filtering. SMC 2018: 3553-3558 - 2017
- [j18]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: 572-580 (2017) - [j17]Wing W. Y. Ng
Sequential conditional entropy maximization semi-supervised hashing for semantic image retrieval. Int. J. Mach. Learn. Cybern. 8(2): 571-586 (2017) - [j16]Binbin Sun, Wing W. Y. Ng
Improved sparse LSSVMS based on the localized generalization error model. Int. J. Mach. Learn. Cybern. 8(6): 1853-1861 (2017) - 2016
- [j15]Fei Zhang, Patrick P. K. Chan, Battista Biggio
Adversarial Feature Selection Against Evasion Attacks. IEEE Trans. Cybern. 46(3): 766-777 (2016) - [j14]Daniel S. Yeung, Jin-Cheng Li, Wing W. Y. Ng
MLPNN Training via a Multiobjective Optimization of Training Error and Stochastic Sensitivity. IEEE Trans. Neural Networks Learn. Syst. 27(5): 978-992 (2016) - [c56]Runzong Liu
Synthetic Data Generator for Classification Rules Learning. CCBD 2016: 357-361 - [c55]Qiu Xia Li
Improving robustness against electrode shift of sEMG based hand gesture recognition using online semi-supervised learning. ICMLC 2016: 344-349 - 2015
- [j13]Wing W. Y. Ng
Two-phase mapping hashing. Neurocomputing 151: 1423-1429 (2015) - [j12]Patrick P. K. Chan, Cheng Yang, Daniel S. Yeung, Wing W. Y. Ng
Spam filtering for short messages in adversarial environment. Neurocomputing 155: 167-176 (2015) - [j11]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): 607-619 (2015) - [j10]Wing W. Y. Ng
Sensitivity based image filtering for multi-hashing in large scale image retrieval problems. Int. J. Mach. Learn. Cybern. 6(5): 777-794 (2015) - [j9]Yueming Lv, Wing W. Y. Ng
Asymmetric Cyclical Hashing for Large Scale Image Retrieval. IEEE Trans. Multim. 17(8): 1225-1235 (2015) - [c54]Jianxin Zhou, Xiaoqin Zeng, Patrick P. K. Chan:
Anefficient learning algorithm for binary feedforward neural networks. ICMLC 2015: 609-615 - [c53]Battista Biggio
One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time. MCS 2015: 168-180 - 2014
- [j8]Chunru Dong, Wing W. Y. Ng
An improved differential evolution and its application to determining feature weights in similarity-based clustering. Neurocomputing 146: 95-103 (2014) - [j7]Wing W. Y. Ng
LG-Trader: Stock trading decision support based on feature selection by weighted localized generalization error model. Neurocomputing 146: 104-112 (2014) - [j6]Wing W. Y. Ng
Steganalysis classifier training via minimizing sensitivity for different imaging sources. Inf. Sci. 281: 211-224 (2014) - [j5]Jin-Cheng Li, Wing W. Y. Ng
Bi-firing deep neural networks. Int. J. Mach. Learn. Cybern. 5(1): 73-83 (2014) - [c52]Patrick P. K. Chan, Wen-Kai Song:
Static detection of Android malware by using permissions and API calls. ICMLC 2014: 82-87 - [c51]Xiaojun Lin, Patrick P. K. Chan:
Causative attack to Incremental Support Vector Machine. ICMLC 2014: 137-142 - [c50]Patrick P. K. Chan, Ying Shu:
Face Liveness Detection by Brightness Difference. ICMLC (CCIS volume) 2014: 144-150 - [c49]Hongjiang Li, Patrick P. K. Chan:
An Improved Reject on Negative Impact Defense. ICMLC (CCIS volume) 2014: 452-459 - [e1]Xizhao Wang, Witold Pedrycz, Patrick P. K. Chan, Qiang He:
Machine Learning and Cybernetics - 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings. Communications in Computer and Information Science 481, Springer 2014, ISBN 978-3-662-45651-4 [contents] - 2013
- [j4]Binbin Sun, Wing W. Y. Ng
Hyper-parameter Selection for Sparse LS-SVM via Minimization of its Localized Generalization Error. Int. J. Wavelets Multiresolution Inf. Process. 11(3) (2013) - [c48]Manlin Wang, Fei Zhang, Patrick P. K. Chan:
Malicious website detection under the exploratory attack. ICMLC 2013: 565-570 - [c47]Junyan Peng, Patrick P. K. Chan:
Revised Naive Bayes classifier for combating the focus attack in spam filtering. ICMLC 2013: 610-614 - 2012
- [j3]Patrick P. K. Chan, Daniel S. Yeung, Wing W. Y. Ng
Dynamic fusion method using Localized Generalization Error Model. Inf. Sci. 217: 1-20 (2012) - [c46]Ying-Ying Cheng, Patrick P. K. Chan, Zhi-Wei Qiu:
Random forest based ensemble system for short term load forecasting. ICMLC 2012: 52-56 - [c45]Xi-Rong Wu, Patrick P. K. Chan:
SQL injection attacks detection in adversarial environments by k-centers. ICMLC 2012: 406-410 - 2011
- [c44]Wing W. Y. Ng
News story clustering using L-GEM based RBFNN. ICMLC 2011: 85-90 - [c43]Wing W. Y. Ng
3D Goods allocation in warehouse with L-GEM based 3-D RFID positioning. ICMLC 2011: 324-329 - [c42]Wing W. Y. Ng
Efficiency of applying virtual reference tag to neural network based RFID indoor positioning method. ICMLC 2011: 447-453 - [c41]Wing W. Y. Ng
Intelligent book positioning for library using RFID and book spine matching. ICMLC 2011: 465-470 - [c40]Wing W. Y. Ng
Stock investment decision support for Hong Kong market using RBFNN based candlestick models. ICMLC 2011: 538-543 - [c39]Wing W. Y. Ng
Social relationship discovery and face annotation in personal photo collection. ICMLC 2011: 631-637 - [c38]Wing W. Y. Ng
Empirical study on the architecture selection of RBFNN using L-GEM for multi-class problems. ICMLC 2011: 723-726 - [c37]Wing W. Y. Ng
A study on the effect of scaling functions to feature weighting performance. ICMLC 2011: 1077-1081 - [c36]Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng
A survey of the initialization of centers and widths in radial basis function network for classification. ICMLC 2011: 1082-1087 - [c35]Patrick P. K. Chan, Fei Zhang, Wing W. Y. Ng
A novel defend against good word attacks. ICMLC 2011: 1088-1092 - [c34]Patrick P. K. Chan, Qin-Qin Zhang, Wing W. Y. Ng
Dynamic base classifier pool for classifier selection in Multiple Classifier Systems. ICMLC 2011: 1093-1096 - [c33]Patrick P. K. Chan, Xi-Rong Wu, Wing W. Y. Ng
Sensitivity based Growing and Pruning method for RBF network in online learning environments. ICMLC 2011: 1107-1112 - [c32]Patrick P. K. Chan, Jing Zhu, Zhi-Wei Qiu, Wing W. Y. Ng
Comparision of different classifiers in fault detection in microgrid. ICMLC 2011: 1210-1213 - [c31]Patrick P. K. Chan, Bo Peng, Wing W. Y. Ng
Disturbance rejection using error estimation in neural network controller design. ICMLC 2011: 1220-1225 - [c30]Patrick P. K. Chan, Wei-Chun Chen, Wing W. Y. Ng
Multiple classifier system for short term load forecast of Microgrid. ICMLC 2011: 1268-1273 - [c29]Patrick P. K. Chan, Hui Yu, Wing W. Y. Ng
A novel method to reduce redundancy in adaptive threshold clustering key frame extraction systems. ICMLC 2011: 1637-1642 - [c28]Wing W. Y. Ng
Blind steganalysis with high generalization capability for different image databases using L-GEM. ICMLC 2011: 1690-1695 - [c27]Patrick P. K. Chan, Bing-Zhong Jing, Wing W. Y. Ng
Depth estimation from a single image using defocus cues. ICMLC 2011: 1732-1738 - [c26]Patrick P. K. Chan, Zhi-Chun Huang, Wing W. Y. Ng
Dynamic hierarchical semantic network based image retrieval using relevance feedback. ICMLC 2011: 1746-1751 - [c25]Wing W. Y. Ng
Multi-object tracking in video using Localized Generalization Error model based RBFNN. ICMLC 2011: 1825-1831 - 2010
- [c24]Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng
2-Stage instance selection algorithm for KNN based on Nearest Unlike Neighbors. ICMLC 2010: 134-140 - [c23]Hui Yu, Patrick P. K. Chan, Wing W. Y. Ng
Apply randomization in KNN to make the adversary harder to attack the classifier. ICMLC 2010: 179-183 - [c22]Qian-Cheng Wang, Wing W. Y. Ng
Feature weighting based on L-GEM. ICMLC 2010: 220-224 - [c21]Bo Peng, Patrick P. K. Chan, Wing W. Y. Ng
A novel approach on control simulation using neural network ensemble. ICMLC 2010: 357-362 - [c20]Weiwei Lai, Wing W. Y. Ng
Trademark classification by shape using ensemble of RBFNNs. ICMLC 2010: 391-396 - [c19]Zhi-Min He, Wing W. Y. Ng
Feature selection for blind steganalysis using localized generalization error model. ICMLC 2010: 500-505 - [c18]Li Zhao, Patrick P. K. Chan, Wing W. Y. Ng
A novel gradient synthesis-based illumination formalization method for face recognition under varying lighting conditions. ICMLC 2010: 669-674 - [c17]Dong-Liang Wu, Wing W. Y. Ng
Access control by RFID and face recognition based on neural network. ICMLC 2010: 675-680 - [c16]Bing-Zhong Jing, Patrick P. K. Chan, Wing W. Y. Ng
Anti-spoofing system for RFID access control combining with face recogntion. ICMLC 2010: 698-703 - [c15]Zhi-Chun Huang, Patrick P. K. Chan, Wing W. Y. Ng
Content-based image retrieval using color moment and Gabor texture feature. ICMLC 2010: 719-724 - [c14]Wei Xiao, Wing W. Y. Ng
L-GEM based RBFNN for news anchorperson detection with Dominant Color Descriptor. ICMLC 2010: 763-768 - [c13]Timothy Tian-Ming Zheng, Wing W. Y. Ng
Shape-based image retrieval of Chinese paper-cutting using RBFNN with invariant moment. ICMLC 2010: 808-814 - [c12]Hai-Lan Ding, Wing W. Y. Ng
RFID indoor positioning using RBFNN with L-GEM. ICMLC 2010: 1147-1152 - [c11]Hai-Lan Ding, Wing W. Y. Ng
RFID reader deployment using RBFNN with L-GEM. ICMLC 2010: 1153-1158 - [c10]Jin-Cheng Li, Wing W. Y. Ng
A growing architecture selection for Multilayer Perceptron Neural Network by the L-GEM. ICMLC 2010: 1402-1407 - [c9]Daniel S. Yeung, Binbin Sun, Wing W. Y. Ng
Construction of radial basis function neural networks via a minimization of its localized generalization error. ICMLC 2010: 1437-1442 - [c8]Wei-Chun Chen, Patrick P. K. Chan, Wing W. Y. Ng
Multiple classifier systems combined with localized generalization error for fault diagnosis of power transformers. ICMLC 2010: 1464-1469 - [c7]Yao-Hong Chan, Wing W. Y. Ng
Empirical comparison of forward and backward search strategies in L-GEM based feature selection with RBFNN. ICMLC 2010: 1524-1527 - [c6]Gao-Yang Cai, Wing W. Y. Ng
Moving average crossovers for short-term equity investment with L-GEM based RBFNN. ICMLC 2010: 1684-1688 - [c5]Zhi-Min He, Wing W. Y. Ng
Steganography detection using localized generalization error model. SMC 2010: 1544-1549
2000 – 2009
- 2009
- [j2]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): 3199-3217 (2009) - [c4]Daniel S. Yeung, Patrick P. K. Chan:
A Novel Dynamic Fusion Method Using Localized Generalization Error Model. SMC 2009: 623-628 - 2008
- [j1]Aki P. F. Chan, Patrick P. K. Chan, Wing W. Y. Ng
A Novel Feature Grouping Method for Ensemble Neural Network Using Localized Generalization Error Model. Int. J. Pattern Recognit. Artif. Intell. 22(1): 137-151 (2008) - 2007
- [c3]Patrick P. K. Chan, Xiaoqin Zeng, Eric C. C. Tsang, Daniel S. Yeung, John W. T. Lee:
Neural network ensemble pruning using sensitivity measure in web applications. SMC 2007: 3051-3056 - 2006
- [c2]Patrick P. K. Chan, Defeng Wang, Eric C. C. Tsang, Daniel S. Yeung:
Structured Large Margin Machine Ensemble. SMC 2006: 840-844 - 2005
- [c1]Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
Active learning using localized generalization error of candidate sample as criterion. SMC 2005: 3604-3609
Coauthor Index
[j24] [j17] [j16] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [j2] [j1] [c1]
[j32] [j31] [j30] [j28] [j27] [j26] [j25] [j24] [c67] [c66] [c65] [c64] [c63] [i1] [j19] [c59] [c58] [c57] [j18] [j17] [j15] [j14] [c55] [j13] [j12] [j11] [j10] [j9] [c53] [j8] [j7] [j6] [j5] [j4] [j3] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [j2] [c4] [j1] [c3] [c2] [c1]
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