职称:副教授
邮箱:patrickchan@scut.edu.cn
工作单位:吴贤铭智能工程学院
邮政编码:510640
毕业院校:香港理工大学
办公室:D1-b505
最后学位:博士
办公电话:020-81181668
导师类别:硕导
陈百基博士于2009年在香港理工大学获得博士学位,同年入职华南理工计算机科学与工程学院,现为吴贤铭智能工程学院的副院长及副教授,亦为机器学习与控制团队实验室的主要负责人之一。目前主要研究领域包括深度学习、图像识别、对抗学习、安全机器学习等,发表多篇国际期刊及会议文章,H-index为23,多次承担及参与国家科学自然基金、广东省自然科学基金、中央高校科研基金等项目,并将研究成果落地,承担不同企业的产科学研项目。陈博士担任国际机器学习领域知名学术期刊Int'l Journal of Machine Learning and Cybernetics 的助理主编及副主编,IEEE Trans. on Cybernetics, Information Sciences 和Advances in Computational Intelligence副主编。并积极参与国际专家活动,为国际组织IEEE SMCS的董事 (2014-2016)及IEEE SMCS香港分会主席(2014-2015),亦协办许多国际会议,担任多个国际会议的组织委员会主席。在指导学生方面,陈博士曾多次指导学生参与国家级大学生创新创业训练计划基金、挑战杯比赛、SRP百步梯攀登计划等,并取得优异成绩,指导学生多次在国际期刊及会议中发表文章。连续多年在学校评教活动中获得学院第一名,并多次获得优秀教学奖和优秀班主任等荣誉称号。
2022–至今: 中国, 华南理工大学, 吴贤铭智能工程学院, 副教授
2017–至今: 日本, 兵库医科大学, 兼职讲师
2013–2022: 中国, 华南理工大学, 计算机科学与工程学院, 副教授
2011–2012: 香港, 香港城市大学, 计算机科学系, 高级研究助理
2009–2013: 中国, 华南理工大学, 计算机科学与工程学院, 讲师
2008–2009: 香港, 香港理工大学, 电子计算学系, 研究助理
博士,香港理工大学,电子计算机学系
本科,香港理工大学,电子计算机学系
机器学习、深度学习、图像处理、对抗学习、安全机器学习
2022年
[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
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年
[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年
[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年
[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年
[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