Publications

Contrastive learning with auxiliary model PDF Cite Code Source Document DOI
Pattern Recognition, 172, 112566 2026
Linyi Xu, Patrick Chan, Jingwen Deng, Xuanming Liang, DANIEL S. YEUNG
Auxiliary model Contrastive learning False negative sample identification Self-supervised learning
Backdoor Sample Detection through Progressive Perturbation and Loss Trajectory Analysis PDF Cite Source Document DOI
IEEE Transactions on Information Forensics and Security, 1-1 2026
YangTan, Patrick Chan, DANIEL S. YEUNG
Backdoor Attack Cleaning Conferences Distortion Labeling Modeling Schedules Scheduling Sensitivity Signal detection Toxicology Training Trajectory
Towards Hard and Soft Shadow Removal via Dual-Branch Separation Network and Vision Transformer PDF Cite Source Document
arXiv 2025
Jiajia Liang, Bowen Zhang, Jingwen Deng, Patrick Chan
Computer Science - Computer Vision and Pattern Recognition
Real-world nighttime image dehazing using contrastive and adversarial learning PDF Cite Source Document
Pattern Recognition, 165, 111596 2025
Jingwen Deng, Patrick Chan, DANIEL S. YEUNG
Adversarial learning Contrastive learning Nighttime dehaze
Pruning Backdoors via Inducive Trigger-Based Detection PDF Cite Source Document DOI
ICWAPR 2025
Peien Liao, Jiahao Pan, Patrick Chan
Accuracy Analytical models Backdoor Defense Backdoor Detection Fine-tuning Neurons Pattern recognition Perturbation methods Prevention and mitigation Pruning Robustness Security Trojan horses Wavelet analysis
Physically Realistic Sequence-Level Adversarial Clothing for Robust Human-Detection Evasion PDF Cite Source Document
arXiv 2025
Dingkun Zhou, Patrick Chan, Hengxu Wu, Shikang Zheng, Ruiqi Huang, Yuanjie Zhao
Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition
Band-Aid Backdoor: A Dual-Branch Framework for Physical Backdoor Attacks on Face Recognition Systems PDF Cite Source Document
ICMLC 2025
Jun-Hong Li, Ying-Qi Zheng, Patrick Chan
Adversarial Learning Face recognition Face Recognition Lighting Physical Backdoor Attack Prevention and mitigation Robustness Standards Target recognition Three-dimensional displays Training Training data Visualization
Balancing Realism and Attack Efficacy: Adversarial Texture Generation From Authentic Clothing Patterns PDF Cite Source Document DOI
ICMLC 2025
Dingkun Zhou, Patrick Chan
Clothing Human detection Lighting Machine learning Natural-looking textures Optimization Physical-world adversarial attack Pipelines Real-time systems Robustness Systematics Visualization YOLO
Unsupervised contaminated user profile identification against shilling attack in recommender system Cite Source Document DOI
Intelligent Data Analysis, 28, 1411-1426 2024
Fei Zhang, Patrick Chan, Zhimin He, DANIEL S. YEUNG
Machine Learning
Single-Camera System for Hand Injury Assessment PDF Cite Source Document
ICMLC 2024
Daining Ma, Yanzi Zhou, Xujin Jiang, Patrick Chan
Accuracy Cameras Computational modeling Hand Injury Assessment Hands Injuries MediaPipe Monitoring Motion analysis Motion control Motion measurement Object detection Object Detection Single Camera Skeleton Extraction
LFPD: Local-Feature-Powered Defense Against Adaptive Backdoor Attacks PDF Cite Source Document
ICMLC 2024
Wei Guo, Ambra Demontis, Maura Plntor, Patrick Chan, Battista Biggio
Adaptive attack Backdoor defence Cybernetics Feature extraction local feature Machine learning Machine learning algorithms Training
Evasion on general GAN-generated image detection by disentangled representation PDF Cite Source Document DOI
Information Sciences, 683, 121267 2024
Patrick Chan, Chuanxin Zhang, Haitao Chen, Jingwen Deng, Xiao Meng, DANIEL S. YEUNG
Disentangled representation Evasion attack GAN-generated image detection
CAS-NN: A Robust Cascade Neural Network Without Compromising Clean Accuracy PDF Cite Source Document
Neural Information Processing, 494-505 2024
Zhuohuang Chen, Zhimin He, Yan Zhou, Patrick Chan, Fei Zhang, Haozhen Situ
Adversarial learning Adversarial training
3D Hand Mesh Recovery from Monocular RGB in Camera Space PDF Cite Source Document
arXiv 2024
Haonan Li, Patrick Chan, Yitong Zhou
Computer Science - Computer Vision and Pattern Recognition
Skeleton Based Hand Missing Score Evaluation System PDF Cite Source Document
ICMLC 2023
Jian Shu, Yu-De Li, Ying-Ying Liu, Yi-Zhu Chen, Patrick Chan, Yitong Zhou, Longhan Xie
Defect assessment Filtering Forensics Hand defect Hand skeleton Manuals MediaPipe Skeleton Standards Training Transfer learning
Multi-proxy based deep metric learning PDF Cite Source Document
Information Sciences, 119120 2023
Patrick Chan, Shute Li, Jingwen Deng, DANIEL S. YEUNG
Deep learning Deep metric learning Image retrieval Multi-proxy Proxy-based method
Unsupervised Domain Adaptation for Gesture Identification Against Electrode Shift PDF Cite Source Document DOI
IEEE Transactions on Human-Machine Systems, 52, 1271-1280 2022
Patrick Chan, Qiuxia Li, Yinfeng Fang, Linyi Xu, Kairu Li, Honghai Liu, DANIEL S. YEUNG
Benchmark testing Calibration Data collection electrode shift Electrodes Feature extraction gesture identification Gesture recognition unsupervised domain adaptation (UDA) Unsupervised learning
Progressive editing with stacked Generative Adversarial Network for multiple facial attribute editing PDF Cite Source Document DOI
Computer Vision and Image Understanding, 217, 103347 2022
Patrick Chan, Xiaotian Wang, Zhe Lin, DANIEL S. YEUNG
Facial multiple attribute editing Generative Adversarial Networks Imbalance problem
Item Relationship Graph Neural Networks for E-Commerce PDF Cite Source Document DOI
IEEE Transactions on Neural Networks and Learning Systems, 33, 4785-4799 2022
Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick Chan, DANIEL S. YEUNG, Pheng-Ann Heng
Collaboration Graph neural networks Graph neural networks (GNNs) Headphones Image edge detection item relationship prediction multihop relationships Predictive models Spread spectrum communication Task analysis
A concealed poisoning attack to reduce deep neural networks' robustness against adversarial samples PDF Cite Source Document
Information Sciences, 758-773 2022
Junhao Zheng, Patrick Chan, Huiyang Chi, Zhimin He
Adversarial samples Poisoning attacks Robustness measurement
Weakly Supervised Semantic Segmentation with Patch-Based Metric Learning Enhancement PDF Cite Source Document
Artificial Neural Networks and Machine Learning – ICANN 2021, 471-482 2021
Patrick Chan, Keke Chen, Linyi Xu, Xiaoman Hu, DANIEL S. YEUNG
Fully convolutional neural networks Metric learning Semantic segmentation Weakly supervised learning
Transfer learning based countermeasure against label flipping poisoning attack PDF Cite Source Document
Information Sciences, 450-460 2021
Patrick Chan, Fengzhi Luo, Zitong Chen, Ying Shu, DANIEL S. YEUNG
Adversarial Learning Label Flipping Attack Poisoning Attack Robustness Transfer Learning
Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack PDF Cite Source Document DOI
Applied Soft Computing, 107, 107311 2021
Patrick Chan, Juan Zheng, Han Liu, E. C. C. Tsang, DANIEL S. YEUNG
Adversarial learning Decision tree Evasion attack Fuzzy decision tree Robustness
Multiple-Model Based Defense for Deep Reinforcement Learning Against Adversarial Attack PDF Cite Source Document
Artificial Neural Networks and Machine Learning – ICANN 2021, 42-53 2021
Patrick Chan, Yaxuan Wang, Natasha Kees, DANIEL S. YEUNG
Adversarial learning Reinforcement learning Robustness
Dynamic fusion for ensemble of deep Q-network PDF Cite Source Document DOI
International Journal of Machine Learning and Cybernetics, 12, 1031-1040 2021
Patrick Chan, Meng Xiao, Xinran Qin, Natasha Kees
Deep Q-network Deep reinforcement learning Dynamic fusion Ensemble
Distribution-based Adversarial Filter Feature Selection against Evasion Attack PDF Cite Source Document DOI
2021 International Joint Conference on Neural Networks (IJCNN), 1-8 2021
Patrick Chan, YuanChao Liang, Fei Zhang, DANIEL S. YEUNG
Earth Feature extraction Machine learning Measurement uncertainty Stability analysis Training Uncertainty
Class-Specific Affinity based Weakly Supervised Semantic Segmentation with Neutral Region Exploration PDF Cite Source Document
2021 International Joint Conference on Neural Networks (IJCNN), 1-8 2021
Keke Chen, Patrick Chan, Tianyi Xiang, Natasha Kees, DANIEL S. YEUNG
Costs Focusing Image segmentation Neural networks Pipelines Semantics Training
Causative label flip attack detection with data complexity measures PDF Cite Source Document
International Journal of Machine Learning and Cybernetics, 103-116 2021
Patrick Chan, Zhimin He, Xian Hu, Eric C. C. Tsang, DANIEL S. YEUNG, Wing W. Y. Ng
Adversarial learning Causative attack detection Data complexity Label flip attack
Adversarial Attack against Deep Reinforcement Learning with Static Reward Impact Map PDF Source Document DOI
AsiaCCS 2020 2020
Patrick Chan, Yaxuan Wang, DANIEL S. YEUNG
Trustworthy AI Adversarial Learning Reinforcement Learning
Sensitivity Based Robust Learning With Sampling In Adversarial Environment PDF Cite Source Document
Neurocomputing, 116-121 2020
Qing Lin, Wei Li, Patrick Chan
Adversarial attack Deep learning Learning systems Pattern recognition Robust learning Robustness Robustness improvement Sample selection Sensitivity Training Wavelet analysis
Segmentation Based Backdoor Attack Detection PDF Cite Source Document
ICMLC 2020
Natasha Kees, Yaxuan Wang, Yiling Jiang, Fang Lue, Patrick Chan
Adversarial machine learning Backdoor attack Cybernetics Deep learning Deep neural networks Feature extraction Image segmentation Machine learning Program processors Security Segmentation Training
Dual-Path Model for Person Re-Identification Under Cloth Changing PDF Cite Source Document
ICMLC 2020
Junhao Zheng, Xiaoman Hu, Tianyi Xiang, Patrick Chan
Cameras Clothing Dual-path model Feature extraction Feature learning Machine learning Measurement Metric learning Person Re-Identification Shape Visualization
Shilling attack based on item popularity and rated item correlation against collaborative filtering PDF Cite Source Document
International Journal of Machine Learning and Cybernetics, 1833-1845 2019
Keke Chen, Patrick Chan, Fei Zhang, Qiaoqiao Li
Collaborative filtering Rated item correlation Recommender systems Shilling attack
Example-Guided Identify Preserving Face Synthesis by Metric Learning PDF Cite Source Document
ICWAPR 2019
Daiyue Wei, Xiaoman Hu, Keke Chen, Patrick Chan
Face recognition Faces Generative adversarial networks Identity preserving Image synthesis Measurement Metric learning Semantics Training
Class Size Variance Minimization to Metric Learning for Dish Identification PDF Cite Source Document
ICMLC 2019
Shilong Feng, Haoqin Xie, Hongbo Yin, Xiaopeng Chen, Deshun Yang, Patrick Chan
Accuracy Cybernetics Learning systems Linear programming Machine learning Measurement Metric learning Minimization Object recognition Search problems Triplet loss
Unsupervised Shilling Attack Detection Model Based on Rated Item Correlation Analysis PDF Cite Source Document
ICMLC 2018
Keke Chen, Patrick Chan, DANIEL S. YEUNG
Analytical models Collaborative filtering Correlation Databases Feature extraction Mathematical model Rated item correlation Recommender systems Shilling attack Unsupervised learning
Shilling Attack Detection Using Rated Item Correlation for Collaborative Filtering PDF Cite Source Document DOI
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 3553-3558 2018
Keke Chen, Patrick Chan, DANIEL S. YEUNG
Correlation Cybernetics Databases Feature extraction Recommender systems Supervised learning Unsupervised learning
Face Liveness Detection Using a Flash Against 2D Spoofing Attack PDF Cite Source Document
IEEE Transactions on Information Forensics and Security, 521-534 2018
Patrick Chan, Weiwen Liu, Danni Chen, DANIEL S. YEUNG, Fei Zhang, Xizhao Wang, Chien-Chang Hsu
2D spoofing attack adversarial learning Cameras Face Face liveness detection Face recognition Feature extraction flash light Lighting Time complexity Two dimensional displays
Data sanitization against adversarial label contamination based on data complexity PDF Cite Source Document
International Journal of Machine Learning and Cybernetics, 1039-1052 2018
Patrick Chan, Zhi-Min He, Hongjiang Li, Chien-Chang Hsu
Adversarial learning Data complexity Data sanitization Poisoning attack
A fast convex hull algorithm inspired by human visual perception PDF Cite Source Document DOI
Multimedia Tools and Applications, 77, 31221-31237 2018
Runzong Liu, Yuan Yan Tang, Patrick Chan
Affine transformation Computational geometry Convex hull High dimension Point pattern
Sequential conditional entropy maximization semi-supervised hashing for semantic image retrieval PDF Cite Source Document
International Journal of Machine Learning and Cybernetics, 571-586 2017
Wing W. Y. Ng, Yueming Lv, Ziqian Zeng, DANIEL S. YEUNG, Patrick Chan
Hashing Semantic image retrieval Semi-supervised hashing
Sensitivity based robust learning for stacked autoencoder against evasion attack PDF Cite Source Document DOI
Neurocomputing, 267, 572-580 2017
Patrick Chan, Zhe Lin, Xian Hu, Eric C. C. Tsang, DANIEL S. YEUNG
Adversarial learning Deep learning Evasion attack Robustness Sensitivity
Improving robustness of stacked auto-encoder against evasion attack based on weight evenness PDF Cite Source Document
ICWAPR 2017
Fengzhi Luo, Patrick Chan, Zhe Lin, Zhimin He
Autoencoders Deep learning Evasion Attack Linear programming Pattern recognition Robustness Security Standards Training Training data Wavelet analysis Weight Evenness
Improved sparse LSSVMS based on the localized generalization error model PDF Cite Source Document
International Journal of Machine Learning and Cybernetics, 1853-1861 2017
Binbin Sun, Wing W. Y. Ng, Patrick Chan
Least squares support vector machine (LSSVM) Localized generalization error model (L-GEM) Sensitivity measure Sparsity
Experimental study on stacked autoencoder on insufficient training samples PDF Cite Source Document
ICWAPR 2017
Jin Xue, Patrick Chan, Xian Hu
Data models Deep learning Learning systems Machine learning Neural networks Small dataset Speech recognition Stacked autoencoder Training
Vessel enhancement of low quality fundus image using mathematical morphology and combination of Gabor and matched filter PDF Cite Source Document
ICWAPR 2016
Cheng-Yu Lu, Bing-Zhong Jing, Patrick Chan, Daoman Xiang, Wanhua Xie, Jianxun Wang, DANIEL S. YEUNG
Biomedical imaging Blood vessels Fundus image Gabor filter Histograms Kernel Matched filter Morphology Retina Shape Vessel enhancement Wavelet analysis
Synthetic Data Generator for Classification Rules Learning PDF Cite Source Document
2016 7th International Conference on Cloud Computing and Big Data (CCBD), 357-361 2016
Runzong Liu, Bin Fang, Yuan Yan Tang, Patrick Chan
Algorithm design and analysis Automatic decision support Data mining Decision tree Decision trees Electronic mail Generators Humidity Rain Synthetic data Training
Multiple classifier system with sensitivity based dynamic weighting fusion for hand gesture recognition PDF Cite Source Document
ICWAPR 2016
Wengeng Huang, Patrick Chan, Dalin Zhou, Yinfeng Fang, Honghai Liu, DANIEL S. YEUNG
Electrodes Electromyography Feature extraction Gesture recognition MCS Noise measurement Robustness sEMG Sensitivity
Improving robustness against electrode shift of sEMG based hand gesture recognition using online semi-supervised learning PDF Cite Source Document
ICMLC 2016
Qiu Xia Li, Patrick Chan, Dalin Zhou, Yinfeng Fang, Honghai Liu, DANIEL S. YEUNG
Classification algorithms Electrode shift Electrodes Gesture recognition Growing neural gas Hand gesture recognition Online Semi-supervised learning Prosthetics Robustness Semisupervised learning Training