Patrick P. K. Chan

111 papers A* 1A 1B 8Misc 54Journal 38Unranked 8
YearRankTypeTitle / 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
Physically Realistic Sequence-Level Adversarial Clothing for Robust Human-Detection Evasion.
CoRR
Dingkun Zhou, Patrick P. K. Chan, Hengxu Wu, Shikang Zheng, Ruiqi Huang, Yuanjie Zhao
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 Misc conf
LFPD: Local-Feature-Powered Defense Against Adaptive Backdoor Attacks.
ICMLC
Wei Guo, Ambra Demontis, Maura Pintor, Patrick P. K. Chan, Battista Biggio
2024 Misc conf
Towards Hard and Soft Shadow Removal via Dual-Branch Separation Network and Vision Transformer.
ICMLC
Jiajia Liang, Bowen Zhang, Jingwen Deng, Patrick P. K. Chan
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 — conf
An Ensemble Model using Face and Pose Tracking for Engagement Detection in Game-based Rehabilitation.
CACML
Xujie Lin, Siqi Cai, Patrick P. K. Chan, Longhan Xie
2023 — conf
CAS-NN: A Robust Cascade Neural Network Without Compromising Clean Accuracy.
ICONIP (2)
Zhuohuang Chen, Zhimin He, Yan Zhou, Patrick P. K. Chan, Fei Zhang, Haozhen Situ
2023 J jnl
Learning Disentangled Features for Person Re-identification under Clothes Changing.
ACM Trans. Multim. Comput. Commun. Appl.
Patrick P. K. Chan, Xiaoman Hu, Haorui Song, Peng Peng, Keke Chen
2023 J jnl
Multi-proxy based deep metric learning.
Inf. Sci.
Patrick P. K. Chan, Shute Li, Jingwen Deng, Daniel S. Yeung
2023 Misc conf
Skeleton Based Hand Missing Score Evaluation System.
ICMLC
Jian Shu, Yu-De Li, Ying-Ying Liu, Yi-Zhu Chen, Patrick P. K. Chan, Yitong Zhou, Longhan Xie
2022 J jnl
A concealed poisoning attack to reduce deep neural networks' robustness against adversarial samples.
Inf. Sci.
Junhao Zheng, Patrick P. K. Chan, Huiyang Chi, Zhi-Min He
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 J jnl
Dynamic fusion for ensemble of deep Q-network.
Int. J. Mach. Learn. Cybern.
Patrick P. K. Chan, Meng Xiao, Xinran Qin, Natasha Kees
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
2020 Misc conf
Dual-Path Model for Person Re-Identification Under Cloth Changing.
ICMLC
Junhao Zheng, Xiaoman Hu, Tianyi Xiang, Patrick P. K. Chan
2020 Misc conf
Segmentation Based Backdoor Attack Detection.
ICMLC
Natasha Kees, Yaxuan Wang, Yiling Jiang, Fang Lue, Patrick P. K. Chan
2019 Misc conf
Class Size Variance Minimization to Metric Learning for Dish Identification.
ICMLC
Shilong Feng, Haoqin Xie, Hongbo Yin, Xiaopeng Chen, Deshun Yang, Patrick P. K. Chan
2019 J jnl
Shilling attack based on item popularity and rated item correlation against collaborative filtering.
Int. J. Mach. Learn. Cybern.
Keke Chen, Patrick P. K. Chan, Fei Zhang, Qiaoqiao Li
2018 J jnl
A fast convex hull algorithm inspired by human visual perception.
Multim. Tools Appl.
Runzong Liu, Yuan Yan Tang, Patrick P. K. Chan
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
Data sanitization against adversarial label contamination based on data complexity.
Int. J. Mach. Learn. Cybern.
Patrick P. K. Chan, Zhi-Min He, Hongjiang Li, Chien-Chang Hsu
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
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
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 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
2016 — conf
Synthetic Data Generator for Classification Rules Learning.
CCBD
Runzong Liu, Bin Fang, Yuan Yan Tang, Patrick P. K. Chan
2015 Misc conf
Anefficient learning algorithm for binary feedforward neural networks.
ICMLC
Jianxin Zhou, Xiaoqin Zeng, 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 — 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
An Improved Reject on Negative Impact Defense.
ICMLC (CCIS volume)
Hongjiang Li, 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 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 Misc conf
Causative attack to Incremental Support Vector Machine.
ICMLC
Xiaojun Lin, Patrick P. K. Chan
2014 — conf
Face Liveness Detection by Brightness Difference.
ICMLC (CCIS volume)
Patrick P. K. Chan, Ying Shu
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 — ed.
Machine Learning and Cybernetics - 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings
ICMLC (CCIS volume)
Xizhao Wang, Witold Pedrycz, Patrick P. K. Chan, Qiang He
2014 Misc conf
Static detection of Android malware by using permissions and API calls.
ICMLC
Patrick P. K. Chan, Wen-Kai Song
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 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
2013 Misc conf
Malicious website detection under the exploratory attack.
ICMLC
Manlin Wang, Fei Zhang, Patrick P. K. Chan
2013 Misc conf
Revised Naive Bayes classifier for combating the focus attack in spam filtering.
ICMLC
Junyan Peng, 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
Random forest based ensemble system for short term load forecasting.
ICMLC
Ying-Ying Cheng, Patrick P. K. Chan, Zhi-Wei Qiu
2012 Misc conf
SQL injection attacks detection in adversarial environments by k-centers.
ICMLC
Xi-Rong Wu, Patrick P. K. Chan
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 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 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
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
2006 B conf
Structured Large Margin Machine Ensemble.
SMC
Patrick P. K. Chan, Defeng Wang, Eric C. C. Tsang, Daniel S. Yeung
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