刘阿建，中国科学院自动化研究所多模态人工智能系统全国重点实验室，副研究员。长期深耕人脸防伪与深伪检测领域，创新性地提出了多模态融合、跨模态转换及灵活模态的人脸防伪新范式，并围绕物理-数字人脸联合攻击检测发表了一系列代表性成果。 

研究方向

计算机视觉、可信人工智能、生物特征安全

代表论著

[1] Ajian Liu, Xun Lin, Ruicong Zhi, Yanyan Liang, Xinshan Zhu, Zhanchuan Cai, Jun Wan, Sergio Escalera, Zhen Lei. “DGPDL: Domain-Guided Prompt Distribution Learning for Generalizable Face Anti-spoofing”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026.

[2] Ajian Liu, Shuai Xue, Jianwen Gan, Jun Wan, Yanyan Liang, Jiankang Deng, Sergio Escalera, Zhen Lei. “CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofing”. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

[3] Ajian Liu. “CA-MoEiT: Generalizable Face Anti-spoofing via Dual Cross-Attention and Semi-fixed Mixture-of-Expert”. International Journal of Computer Vision (IJCV), 2024.

[4] Ajian Liu, Zichang Tan, Zitong Yu, Chenxu Zhao, Jun Wan, Yanyan Liang, Zhen Lei, Du Zhang, Stan Z Li, Guodong Guo. “FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing”. IEEE Transactions on Information Forensics and Security (TIFS), 2023.

[5] Ajian Liu, Chenxu Zhao, Zitong Yu, Jun Wan, Anyang Su, Xing Liu, Zichang Tan, Sergio Escalera, Junliang Xing, Yanyan Liang, Guodong Guo, Zhen Lei, Stan Z Li, Du Zhang. “Contrastive context-aware learning for 3d high-fidelity mask face presentation attack detection”. IEEE Transactions on Information Forensics and Security (TIFS), 2022.

[6] Ajian Liu, Zichang Tan, Jun Wan, Yanyan Liang, Zhen Lei, Guodong Guo, Stan Z Li. “Face anti-spoofing via adversarial cross-modality translation”. IEEE Transactions on Information Forensics and Security (TIFS), 2021.

[7] Ajian Liu, Hui Ma, Junze Zheng, Haocheng Yuan, Xiaoyuan Yu, Yanyan Liang, Sergio Escalera, Jun Wan, Zhen Lei. “FM-CLIP: Flexible Modal CLIP for Face Anti-Spoofing”. Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM), 2024.

[8] Ajian Liu, Yanyan Liang. “Ma-vit: Modality-agnostic vision transformers for face anti-spoofing”. International Joint Conference on Artificial Intelligence (IJCAI), 2022. 

获奖及荣誉

入选斯坦福大学年度全球前 2% 顶尖科学家榜单 (2025)

入选北京市青年人才托举工程

IEEE TBIOM 2020 年度最佳论文奖 

社会任职

北京物联网学会，理事

CSIG-数字媒体取证与安全专委会、生物特征识别专委会，委员