庞孟，南昌大学全职引进高层次人才，现任职于南昌大学数学与计算机学院。庞孟于 2020至2022年在新加坡南洋理工大学电子与电气工程学院担任博士后研究员，于2019年获得香港浸会大学博士学位，2016和2013年分获大连理工大学硕士和学士学位。庞孟主要研究方向为模式识别、人工智能安全、小样本学习等。目前，庞孟在国际权威SCI期刊和会议上发表高水平论文19篇，其中以第一作者身份发表中科院一区顶级期刊和中国计算机学会推荐CCF-A/CCF-B类国际学术会议论文11篇，包括信息安全领域顶级期刊IEEE Transactions on Information Forensics and Security、模式识别和神经网络领域顶级期刊IEEE Transactions on Neural Networks and Learning Systems、以及多媒体和数据挖掘领域旗舰学术会议（ICME、CIKM）等。

发表论文：

[1] Pang Meng, Wang Binghui, Huang Siyu, Cheung Yiu-ming, Wen Bihan. A unified framework for bidirectional prototype learning from contaminated faces across heterogeneous domains. IEEE Transactions on Information Forensics and Security, 2022, 17: 1544-1557. 期刊论文

[2] Pang Meng, Wang Binghui, Ye Mang, Cheung Yiu-ming, Chen Yiran, Wen Bihan. DisP+V: A unified framework for disentangling prototype and variation from single sample per person. IEEE Transactions on Neural Networks and Learning Systems, 2021, DOI: 10.1109/TNNLS.2021.3103194. 期刊论文

[3] Pang Meng, Wang Binghui, Cheung Yiu-ming, Chen Yiran, Wen Bihan. VD-GAN: A unified framework for joint prototype and representation learning from contaminated single sample per person. IEEE Transactions on Information Forensics and Security, 2021, 16: 2246-2259. 期刊论文

[4] Pang Meng, Cheung Yiu-ming, Shi Qiquan, Li Mengke. Iterative dynamic generic learning for face recognition from a contaminated single-sample per person. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(4): 1560–1574. 期刊论文

[5] Pang Meng, Cheung Yiu-ming, Wang Binghui, Lou Jian. Synergistic generic learning for face recognition from a contaminated single sample per person. IEEE Transactions on Information Forensics and Security, 2020, 15: 195–209. 期刊论文

[6] Pang Meng, Cheung Yiu-ming, Wang Binghui, and Liu Risheng. Robust heterogeneous discriminative analysis for face recognition with single sample per person. Pattern Recognition, 2019, 89: 91–107. 期刊论文

[7] Pang Meng, Cheung Yiu-ming, Liu Risheng, Lou Jian, Lin Chuang. Toward efficient image representation: Sparse concept discriminant matrix factorization. IEEE Transactions on Circuits and Systems for Video Technology, 2019, 29(11): 3184-3198. 期刊论文

[8] Pang Meng, Wang Binghui, Chen Shenbo, Cheung Yiu-ming, Zou Rong, Huang Wei. Cross-domain prototype learning from contaminated faces via disentangling latent factors, International Conference on Information and Knowledge Management (CIKM), Atlanta, USA, Oct. 17-21, 2022. 会议论文

[9] Pang Meng, Wang Binghui, Ye Mang, Chen Yiran, Wen Bihan. Disentangling prototype and variation for single sample face recognition. IEEE International Conference on Multimedia and Expo (ICME), 2021: 1-6, Shenzhen, China, 2021. 会议论文

[10] Pang Meng, Cheung Yiu-ming, Shi Qiquan, Li Mengke. Iterative dynamic generic learning for single sample face recognition with a contaminated gallery. IEEE International Conference on Multimedia and Expo (ICME), 2020: 1-6, London, UK, 2020. 会议论文

[11] Pang Meng, Cheung Yiu-ming, Wang Binghui, Liu Risheng. Robust heterogeneous discriminative analysis for single sample per person face recognition. ACM on Conference on Information and Knowledge Management (CIKM), 2017: 2251-2254, Singapore, 2017. 会议论文

个人主页：https://www.researchgate.net/profile/Meng-Pang

邮箱：mengpang@ncu.edu.cn