Publications

Patrick Chan, Qiuxia Li, Yingfeng Fang, Linyi Xu, Kairu Li, Honghai Liu, Daniel S. Yeung (2022). Unsupervised Domain Adaptation for Gesture Identification against Electrode Shift. IEEE Transactions on Human-Machine Systems.

Patrick Chan, Xiaotian Wang, Zhe Lin, Daniel S. Yeung (2022). Progressive editing with stacked Generative Adversarial Network for multiple facial attribute editing. Computer Vision and Image Understanding.

Junhao Zheng, Patrick Chan, Huiyang Chi, Zhimin He (2022). A concealed poisoning attack to reduce deep neural networks' robustness against adversarial samples. Information Sciences, 758-773.

Patrick Chan, Keke Chen, Linyi Xu, Xiaoman Hu, Daniel S. Yeung (2021). Weakly Supervised Semantic Segmentation with Patch-Based Metric Learning Enhancement. ICANN 2021.

Patrick Chan, Fengzhi Luo, Zitong Chen, Ying Shu, Daniel S. Yeung (2021). Transfer learning based countermeasure against label flipping poisoning attack. Information Sciences, 548, 450-460.

Patrick Chan, Juan Zheng, Han Liu, Eric C. C. Tsang, Daniel S. Yeung (2021). Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack. Applied Soft Computing, 107.

Patrick Chan, Meng Xiao, Xinran Qin, Natasha Kees (2021). Dynamic fusion for ensemble of deep Q-network. International Journal of Machine Learning and Cybernetics, 12(4), 1031-1040.

Patrick Chan, YuanChao Liang, Fei Zhang, Daniel S. Yeung (2021). Distribution-based Adversarial Filter Feature Selection against Evasion Attack. IJCNN 2021.

Keke Chen, Patrick Chan, Tianyi Xiang, Natasha Kees, Daniel S. Yeung (2021). Class-Specific Affinity based Weakly Supervised Semantic Segmentation with Neutral Region Exploration. IJCNN 2021.