Personal Profile
Dr. Patrick Chan received his Ph.D. from The Hong Kong Polytechnic University in 2009 and joined the School of Computer Science and Engineering at South China University of Technology (SCUT) the same year. He is currently an Associate Professor and one of the principal leads of the Machine Learning and Control Lab in the school. His primary research interests include deep learning, image recognition, adversarial learning, and secure machine learning. He has published numerous papers in international journals and conferences, with an H-index of 23. He has led and participated in multiple research projects funded by the National Natural Science Foundation of China, Guangdong Provincial Natural Science Foundation, and the Fundamental Research Funds for the Central Universities, and has successfully applied his research outcomes to industry through various collaborative R&D projects with enterprises.
Dr. Chan serves as Associate Editor and later Deputy Editor-in-Chief for the International Journal of Machine Learning and Cybernetics, and as Associate Editor for IEEE Transactions on Cybernetics and Information Sciences. He actively contributes to the international academic community, having served as a Board Member of IEEE Systems, Man, and Cybernetics Society (SMCS) (2014-2016) and Chair of the IEEE SMCS Hong Kong Chapter (2014-2015). He has also organized and chaired program committees for numerous international conferences.
In student supervision, Dr. Chan has frequently guided students in programs such as the National Undergraduate Innovation and Entrepreneurship Training Program, the "Challenge Cup" competition, and SCUT's Bai Bu Ti Research Program, achieving outstanding results. His students have published multiple papers in international journals and conferences under his mentorship. He has consistently ranked first in teaching evaluations within his school for several consecutive years and has received multiple honors including Outstanding Teaching Award and Outstanding Class Advisor. QQ: 804273141, Email: patrickchan@scut.edu.cn
Education Background
Hong Kong, Department of Computing, The Hong Kong Polytechnic University, Ph.D.
Hong Kong, Department of Computing, The Hong Kong Polytechnic University, B.Sc. (First Class Honours)
Work Experience
2013-present: China, South China University of Technology, School of Computer Science and Engineering, Associate Professor
2017-present: Japan, Hyogo College of Medicine, Adjunct Lecturer
2011-2012: Hong Kong, City University of Hong Kong, Department of Computer Science, Senior Research Assistant
2009-2013: China, South China University of Technology, School of Computer Science and Engineering, Lecturer
2008-2009: Hong Kong, The Hong Kong Polytechnic University, Department of Computing, Research Assistant
Research Projects
1. Guangdong Provincial Natural Science Foundation: Robust Learning Algorithms for Stacked Autoencoders under Poisoning Attacks
2. Fundamental Research Funds for the Central Universities (Key Project): Sensitivity-based Security Research for Deep Reinforcement Learning in Malicious Environments
3. Technical Service Project commissioned by Enterprises and Institutions: Improvement of Infant Food Intake Estimation System
4. Technical Service Project commissioned by Enterprises and Institutions: Improvement of Dish Recognition System
Professional Service
2022-present: Associate Editor, IEEE Transactions on Cybernetics
2016-present: Associate Editor, later Deputy Editor-in-Chief, International Journal of Machine Learning and Cybernetics
2015-present: Associate Editor, Information Sciences
2009-present: Organizing Committee Chair, Publication Chair, International Conference on Machine Learning and Cybernetics
2016-2018: Treasurer, IEEE SMC Society Hong Kong Chapter
2014-2016: Board Member, IEEE Systems, Man, and Cybernetics (SMC) Society
2014-2015: Chair, IEEE SMC Society Hong Kong Chapter
2013, 2018: Organizing Committee Chair, IEEE International Conference on Systems, Man, and Cybernetics
Courses Taught
"Artificial Intelligence", "Machine Learning", "Data Structures", "Discrete Mathematics"
Flagship Achievements
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, 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, Computer Vision and Image Understanding, 217, 2022
3.Chan, Patrick PK; Luo, Fengzhi; Chen, Zitong; Shu, Ying; Yeung, Daniel S, Transfer learning based countermeasure against label flipping poisoning attack, Information Sciences, 548, 450-460, 2021
4.Chan, Patrick PK; Xiao, Meng; Qin, Xinran; Kees, Natasha, Dynamic fusion for ensemble of deep Q-network, 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, 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, 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, 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, 2021 International Joint Conference on Neural Networks (IJCNN), 44569, 2021
9.Chan, Patrick PK; Wang, Yaxuan; Yeung, Daniel S, Adversarial attack against deep reinforcement learning with static reward impact map, Proceedings of the 15th ACM Asia Conference on Computer and Communications Security, 334-343, 2020
10.Chan, Patrick PK; He, Zhi-Min; Li, Hongjiang; Hsu, Chien-Chang, Data sanitization against adversarial label contamination based on data complexity, 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., IJCAI, 2007-2013, 2018
12.Chan, Patrick PK; Lin, Zhe; Hu, Xian; Tsang, Eric CC; Yeung, Daniel S, Sensitivity based robust learning for stacked autoencoder against evasion attack, 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, IEEE Transactions on Information Forensics and Security, 13, 2, 521-534, 2017
