•  MEng: 1) Electronic Information

Dr. Patrick Chan obtained his Ph.D. from The Hong Kong Polytechnic University in 2009. He joined the School of Computer Science and Engineering of South China University of Technology in the same year. Currently, he is an associate professor of the school and one of the main responsible persons of the laboratory of the Machine Learning and Control Team. The current main research fields include deep learning, image recognition, adversarial learning, and secure machine learning, etc. Many international journal and conference articles have been published, with an H-index of 23. Multiple projects such as the National Natural Science Foundation of China, the Natural Science Foundation of Guangdong Province, and the Research Fund of Central Universities have been undertaken and participated in, and the research results have been implemented. Different enterprises' academic research projects have also been undertaken.  

Dr. Chen serves as the assistant editor and associate editor of Int'l Journal of Machine Learning and Cybernetics, a well-known academic journal in the field of international machine learning. Associate Editor of IEEE Trans. on Cybernetics and Information Sciences. And actively participated in international expert activities. Served as a director of the international organization IEEE SMCS (2014-2016) and the chairperson of the IEEE SMCS Hong Kong Chapter (2014-2015). Also co-organized many international conferences and served as the chairperson of the organizing committee of several international conferences.

In terms of guiding students, Dr. Chen has repeatedly guided students to participate in the National College Students' Innovation and Entrepreneurship Training Program Fund, the Challenge Cup competition, the SRP 100-Step Ladder Climbing Program, etc., and achieved outstanding results. He has also guided students to publish articles in international journals and conferences on multiple occasions. For many consecutive years, I have ranked first in the college in the school's teaching evaluation activities and have been awarded the title of ""Outstanding Teaching Award"" and ""Outstanding Head Teacher"" on multiple occasions."

• Deep learning, image processing, secure machine learning, adversarial learning

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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