Positional Title: Associate Professor
Email:patrickchan@scut.edu.cn
Working For:Shien-Ming Wu School of Intelligent Engineering
Zip Code:510640
Graduated School
Office:D1-b505
Final Degree:Ph.D.
Telephone:020-81181668
Mentor Type:
Dr. Patrick Chan is currently a Vice Dean and Associate Professor of Shien-Ming Wu School of Intelligent Engineering in South China University of Technology. After he received the Ph.D. degree from Hong Kong Polytechnic University in 2009, he served as Lecturer and then promoted as Associate Professor in School of Computer Science and Engineering in South China University. His current research interests include deep learning, Computer Vision, Adversarial Learning, and secure machine learning algorithm. He published more than 50 papers in the related research fields and his current H-index is 23. Dr. Chan has involved in many projects of National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, and the Fundamental Research Funds for the Central Universities, and has many industrial collaborations and has obtained industrial projects. He serves as Editor-in-Chef Assistant and Associate Editor of Int'l Journal of Machine Learning and Cybernetics, and Associate Editors of IEEE Trans. on Cybernetics, Information Sciences and Advances in Computational Intelligence. Dr. Chan has actively involved in international activities. He was the Board of Director member of IEEE Systems, Man, and Cybernetics Society (SMCS) and the Chair of IEEE SMCS Hong Kong Chapter. He also serves as Organizing Committee Chairs of several international conferences. He has guided students to participate and achieved excellent results in the National College Students Innovation and Entrepreneurship Training Program Fund, Challenge Cup Competition, SRP Hundred Steps Climbing Program, etc.. Undergraduate and research students in Dr. Chan’s group have published many papers in international journals and conferences. Dr. Chan has won the first place in the school in the school's teaching evaluation activities for many years, and has won many honorary titles such as the Outstanding Teaching Award and the Outstanding Class Teacher.
2022 – Now: Associate Professor, School of Computer Science and Engineering, South China University of Technology, China
2013 – 2022: Associate Professor, School of Computer Science and Engineering, South China University of Technology, China
2017 – Now: Part Time Lecturer, Hyogo College of Medicine, Japan
2011 – 2012: Senior Research Associate, Department of Computer Science, The City University of Hong Kong, Hong Kong
2009 – 2013: Lecturer, School of Computer Science and Engineering, South China University of Technology, China
2008 – 2009: Research Associate, Department of Computing, The Hong Kong Polytechnic University, Hong Kong
Ph. D., The Hong Kong Polytechnic University, HK
Bachelor degree, The Hong Kong Polytechnic University, HK
Major: Information Technology
Deep learning, Computer Vision, Adversarial Learning, and secure machine learning algorithm
2022
[1]Chan, Patrick PK; Li, Qiuxia; Fang, Yingfeng; Xu, Linyi; Li, Kairu; Liu, Honghai; Yeung, Daniel S, 'Unsupervised Domain Adaptation for Gesture Identification against Electrode Shift'in IEEE Transactions on Human-Machine Systems,2022
[2] Chan, Patrick PK; Wang, Xiaotian; Lin, Zhe; Yeung, Daniel S, 'Progressive editing with stacked Generative Adversarial Network for multiple facial attribute editing'in Computer Vision and Image Understanding,217, 2022
[3] Zheng Junhao, Chan Patrick PK, Chi Huiyang, He Zhimin, 'A concealed poisoning attack to reduce deep neural networks' robustness against adversarial samples ', Information Sciences, 758-773, 2022
2021
[3] Chan, Patrick PK; Luo, Fengzhi; Chen, Zitong; Shu, Ying; Yeung, Daniel S, 'Transfer learning based countermeasure against label flipping poisoning attack'in Information Sciences,548, 450-460, 2021
[4] Chan, Patrick PK; Xiao, Meng; Qin, Xinran; Kees, Natasha, 'Dynamic fusion for ensemble of deep Q-network'in International Journal of Machine Learning and Cybernetics,12, 4, 1031-1040, 2021
[5] Chan, Patrick PK; Zheng, Juan; Liu, Han; Tsang, Eric CC; Yeung, Daniel S, 'Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack'in Applied Soft Computing,107, 2021
[6] Chan, Patrick PK; Chen, Keke; Xu, Linyi; Hu, Xiaoman; Yeung, Daniel S, 'Weakly Supervised Semantic Segmentation with Patch-Based Metric Learning Enhancement'in International Conference on Artificial Neural Networks,471-482, 2021
[7] Chen, Keke; Chan, Patrick PK; Xiang, Tianyi; Kees, Natasha; Yeung, Daniel S, 'Class-Specific Affinity based Weakly Supervised Semantic Segmentation with Neutral Region Exploration'in 2021 International Joint Conference on Neural Networks (IJCNN),2021
[8] Chan, Patrick PK; Liang, YuanChao; Zhang, Fei; Yeung, Daniel S, 'Distribution-based Adversarial Filter Feature Selection against Evasion Attack'in 2021 International Joint Conference on Neural Networks (IJCNN),44569, 2021
2020
[9] Chan, Patrick PK; Wang, Yaxuan; Yeung, Daniel S, 'Adversarial attack against deep reinforcement learning with static reward impact map'in Proceedings of the 15th ACM Asia Conference on Computer and Communications Security,334-343, 2020
2018
[10] Chan, Patrick PK; He, Zhi-Min; Li, Hongjiang; Hsu, Chien-Chang, 'Data sanitization against adversarial label contamination based on data complexity'in International Journal of Machine Learning and Cybernetics,9, 6, 1039-1052, 2018
[11] Chan, Patrick PK; Hu, Xian; Zhao, Lili; Yeung, Daniel S; Liu, Dapeng; Xiao, Lei, 'Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences.'in IJCAI,2007-2013, 2018
2017
[12] Chan, Patrick PK; Lin, Zhe; Hu, Xian; Tsang, Eric CC; Yeung, Daniel S, 'Sensitivity based robust learning for stacked autoencoder against evasion attack'in Neurocomputing,267, 572-580, 2017
[13] Chan, Patrick PK; Liu, Weiwen; Chen, Danni; Yeung, Daniel S; Zhang, Fei; Wang, Xizhao; Hsu, Chien-Chang, 'Face liveness detection using a flash against 2D spoofing attack'in IEEE Transactions on Information Forensics and Security,13, 2, 521-534, 2017