I am currently an Assistant Researcher in the State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA) .

I was a Postdoctoral Researcher at CBSR Lab, MAIS CASIA, working with Prof. Zhen Lei (雷震, IEEE Fellow). I graduated from Macau University of Science and Technology (MUST) (澳门科技大学) with a PhD’s degree from the Faculty of Innovation Engineering (创新工程学院), School of Computer Science and Engineering (计算机科学与工程学院), supervised by Prof. Stan Z. Li (李子青, IEEE Fellow).

My research interest includes Face Anti-Spoofing (FAS) and DeepFake Detection (DFD). I have published 10+ papers at the top international CV conferences such as CVPR, AAAI, IJCAI, ACM MM.

Google Scholar: google scholar citations 260000+ ()/().

Email: ajian.liu@ia.ac.cn, ajianliu92@gmail.com

🔥 News(My CCF-A and SCI-1 papers as first, co-first, or corresponding author. I would like to thank all the authors for their contributions.)

2025.11: 🎉🎉 [Xinxing Yu] 指导学生发表 CCF-A 会议论文 AAAI-2026，3D 点云重建方向，通信作者。
2025.10: 🎉🎉 [Ajian Liu] 基于 ICCV-2025 举办第 6 届人脸活体检测研讨会与竞赛，发布 UniAttackData++ 数据集，联合主席身份。
2025.09: 🎉🎉 [Shunxin Chen] 指导学生发表 SCI-1 期刊论文 IJCV-2026，联合攻击检测算法，共同第一作者。
2025.09: 🎉🎉 [Hui Ma] 指导学生发表 SCI-1 期刊论文 TMM-2025（本领域 Top 5% 期刊），域泛化的人脸活体检测算法，通信作者。
2025.05: 🎉🎉 [Xun Lin] 指导学生发表 SCI-1 期刊论文 TPAMI-2025（本领域 Top 5% 期刊），多模态域泛化的人脸活体检测算法，共同第一作者。
2025.04: 🎉🎉 [Yongze Li] 指导学生发表 SCI-1 期刊论文 TIFS-2025，联合攻击检测算法，通信作者。
2025.04: 🎉🎉 [Jiabao Guo] 指导学生发表 SCI-1 期刊论文 TMM-2025（本领域 Top 5% 期刊），域泛化的人脸活体检测算法，通信作者。
2025.01: 🎉🎉 [Ajian Liu] 被聘请为北京物联网学会理事，任期 2 年。
2024.12: 🎉🎉 [Shunxin Chen] 指导学生发表 CCF-A 会议论文 AAAI-2025（Oral），联合攻击检测算法，共同第一作者。
2024.12: 🎉🎉 [Guosheng Zhang] 与百度合作发表 CCF-A 会议论文 AAAI-2025（Oral），首个可解释的人脸活体检测算法，通信作者。
2024.10: 🎉🎉 [Ajian Liu] 发表第 7 篇 CCF-A 会议论文 ACM MM-2024，灵活模态的人脸活体检测算法，第一作者。
2024.09: 🎉🎉 [Ajian Liu] 获批【澳门青年学者计划】，经费 72 万，主持。
2024.08: 🎉🎉 [Ajian Liu] 获批【国家自然科学基金青年科学基金项目】，经费 30 万，主持。
2024.07: 🎉🎉 [Ajian Liu] 受邀在 Visual Intelligence 期刊发展研讨会上作“期刊投稿数据集论文的经验”报告。
2024.06: 🎉🎉 [Ajian Liu] 基于 CVPR-2024 举办第 5 届人脸活体检测研讨会与竞赛，发布 UniAttackData 数据集，联合主席身份。
2024.05: 🎉🎉 [Ajian Liu] 发表第 6 篇 CCF-A 论文（IJCV-2024，单独作者），域泛化的人脸活体检测算法，第一作者。
2024.03: 🎉🎉 [Keyao Wang] 与百度合作发表 CCF-A 会议论文 AAAI-2024，基于增量学习的人脸活体检测算法，通信作者。
2024.02: 🎉🎉 [Ajian Liu] 发表第 5 篇 CCF-A 会议论文 CVPR-2024（Highlight），域泛化的人脸活体检测算法，第一作者。
2024.02: 🎉🎉 [Ajian Liu] 获批【2024–2026 年度北京市青年人才托举工程】。
2024.01: 🎉🎉 [Hao Fang] 指导学生发表 CCF-A 会议论文 IJCAI-2024，首个联合攻击检测算法，共同第一作者。
2023.12: 🎉🎉 [Ajian Liu] 获批【博士后科学基金第 74 批面上】资助，经费 8 万，主持。
2023.07: 🎉🎉 [Ajian Liu] 发表第 4 篇 SCI-1 期刊论文 TIFS-2023，灵活模态的人脸活体检测算法，第一作者。
2023.06: 🎉🎉 [Hao Fang] 指导学生发表 SCI-1 期刊论文 TIFS-2023，监控场景的人脸活体检测算法，共同第一作者。
2023.06: 🎉🎉 [Ajian Liu] 基于 CVPR-2023 举办第 4 届人脸活体检测研讨会与竞赛，发布 SuHiFiMask 数据集，联合主席身份。
2022.08: 🎉🎉 [Ajian Liu] 获批【海外博士后引才专项】，从澳门科技大学引进至中国科学院自动化研究所，总经费 93 万，主持。
2022.07: 🎉🎉 [Ajian Liu] 发表第 3 篇 CCF-A 会议论文 IJCAI-2022，首个灵活模态的人脸活体检测算法，第一作者。
2022.07: 🎉🎉 [Ajian Liu] 发表第 2 篇 SCI-1 期刊论文 TIFS-2022，基于对比纹理感知学习的面具伪造检测算法，第一作者。
2021.10: 🎉🎉 [Ajian Liu] 基于 ICCV-2021 举办第 3 届人脸活体检测研讨会与竞赛，发布 CASIA-HiFiMask 数据集，联合主席身份。
2021.03: 🎉🎉 [Ajian Liu] 发表第 1 篇 SCI-1 期刊论文 TIFS-2021，跨模态转换的人脸活体检测算法，第一作者。
2020.06: 🎉🎉 [Ajian Liu] 基于 CVPR-2020 举办第 2 届人脸活体检测研讨会与竞赛，发布 CASIA-SURF CeFA 数据集，联合主席身份。
2019.06: 🎉🎉 [Ajian Liu] 基于 CVPR-2019 举办第 1 届人脸活体检测研讨会与竞赛，发布 CASIA-SURF 数据集，联合主席身份。
2018.09: 🎉🎉 26 岁博士入读澳门科技大学，开启科研旅程，导师李子青教授、万军研究员、梁延研教授。

📝 Publications (# equal contribution, * corresponding author)

📕 Book Chapter:

[1] Jun Wan, Zichang Tan, Ajian Liu. “Facial Attribute Analysis”. Handbook of Face Recognition, 2023.

🌟 Representative Work:

IJCV 2024

CA-MoEiT: Generalizable Face Anti-spoofing via Dual Cross-Attention and Semi-fixed Mixture-of-Expert Ajian Liu

[PDF]

TIFS 2021

Face anti-spoofing via adversarial cross-modality translation Ajian Liu, Zichang Tan, Jun Wan, Yanyan Liang, Zhen Lei, Guodong Guo, Stan Z Li

[PDF]

TIFS 2022

Contrastive context-aware learning for 3d high-fidelity mask face presentation attack detection 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

[PDF]

TIFS 2023

FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing Ajian Liu, Zichang Tan, Zitong Yu, Chenxu Zhao, Jun Wan, Yanyan Liang, Zhen Lei, Du Zhang, Stan Z Li, Guodong Guo

[PDF]

CVPR 2024 (Highlight!)

CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofing Ajian Liu, Shuai Xue, Jianwen Gan, Jun Wan, Yanyan Liang, Jiankang Deng, Sergio Escalera, Zhen Lei

[PDF]

ACM MM 2024

FM-CLIP: Flexible Modal CLIP for Face Anti-Spoofing Ajian Liu, Hui Ma, Junze Zheng, Haocheng Yuan, Xiaoyuan Yu, Yanyan Liang, Sergio Escalera, Jun Wan, Zhen Lei

[PDF]

IJCAI 2022

Ma-vit: Modality-agnostic vision transformers for face anti-spoofing Ajian Liu, Yanyan Liang

[PDF]

🌟 Representative Dataset:

TBIOM 2020

CASIA-SURF Shifeng Zhang#, Ajian Liu#, Jun Wan, Yanyan Liang, Guodong Guo, Sergio Escalera, Hugo Jair Escalante, Stan Z Li

[PDF] [Baidu Cloud Link]

WACV 2021

CASIA-CeFA

Ajian Liu, Zichang Tan, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z Li

[PDF] [Baidu Cloud Link]

TIFS 2022

CASIA-HiFiMask

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

[PDF] [Baidu Cloud Link]

TIFS 2023

CASIA-SuHiFiMask

Hao Fang#, Ajian Liu#, Jun Wan, Sergio Escalera, Chenxu Zhao, Xu Zhang, Stan Z Li, Zhen Lei

[PDF] [Baidu Cloud Link]

IJCAI 2024

UniAttackData

Hao Fang#, Ajian Liu#, Haocheng Yuan, Junze Zheng, Dingheng Zeng, Yanhong Liu, Jiankang Deng, Sergio Escalera, Xiaoming Liu, Jun Wan, Zhen Lei

[PDF] [Baidu Cloud Link]

arXiv 2025

UniAttackData+

Ajian Liu, Haocheng Yuan, Xiao Guo, Hui Ma, Wanyi Zhuang, Changtao Miao, Yan Hong, Chuanbiao Song, Jun Lan, Qi Chu, Tao Gong, Yanyan Liang, Weiqiang Wang, Jun Wan, Xiaoming Liu, Zhen Lei

[PDF] [Baidu Cloud Link]

📖Journals:

[20] Hang Zou, Chenxi Du, Ajian Liu, Yuan Zhang, Jing Liu, Mingchuan Yang, Jun Wan, Hui Zhang, Zhenan Sun. “Towards Generalized Iris Presentation Attack Detection: A Mask-and-Distill Mixture of Experts Approach”. IEEE Transactions on Information Forensics and Security (TIFS), 2026.
[19] Yongze Li, Ning Li, Ajian Liu*, Hui Ma, Liying Yang, Xihong Chen, Zhiyao Liang, Yanyan Liang, Jun Wan, Zhen Lei. “FA^{3}-CLIP: Frequency-Aware Cues Fusion and Attack-Agnostic Prompt Learning for Unified Face Attack Detection”. IEEE Transactions on Information Forensics and Security (TIFS), 2025.
[18] Shunxin Chen#, Ajian Liu#, Hao Fang, Haocheng Yuan, Junze Zheng, Dingheng Zeng, Yanhong Liu, Jiankang Deng, Sergio Escalera, Xiaoming Liu, Jun Wan, Zhen Lei. “UniAttack: Unified Physical-Digital Face Attack Detection”. International Journal of Computer Vision (IJCV), 2025.
[17] Hui Ma#, Ajian Liu#, Shuai Xue, Yunfeng Diao, Dashuang Liang, Hailun Liang, Yanyan Liang, Jun Wan, Xun Yang, ZhenZhen Hu, Zhen Lei. “CLIP-SA: CLIP-Guided Semantic Alignment for Generalizable Face Anti-spoofing”. IEEE Transactions on Multimedia (TMM), 2025/9/16.
[16] Ning Li, Ajian Liu, Chaohao Jiang, Suigu Tang, Yongze Li, Yanyan Liang. “Dual-teacher guided denoising distillation for anomaly detection”. IEEE Access, 2025/10/1.
[15] Ning Li, Ajian Liu, Zhenwei Zhu, Xuxin Lin, Hui Ma, Hong-Ning Dai, Yanyan Liang. “Knowledge Distillation-Based Anomaly Detection via Adaptive Discrepancy Optimization”. IEEE Transactions on Industrial Informatics (TII), 2025/6/11.
[14] Xun Lin#, Ajian Liu#, Zitong Yu, Rizhao Cai, Shuai Wang, Yi Yu, Jun Wan, Zhen Lei, Xiaochun Cao, Alex Kot. “Reliable and Balanced Transfer Learning for Generalized Multimodal Face Anti-Spoofing”. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025/5/26.
[13] Jiabao Guo, Ajian Liu*, Yunfeng Diao, Jin Zhang, Hui Ma, Bo Zhao, Richang Hong, Meng Wang. “Domain Generalization for Face Anti-spoofing via Content-aware Composite Prompt Engineering”. IEEE Transactions on Multimedia (TMM), 2025.
[12] Zitong Yu, Rizhao Cai, Yawen Cui, Ajian Liu, Changsheng Chen. “Visual prompt flexible-modal face anti-spoofing”. IEEE Transactions on Dependable and Secure Computing (TDSC), 2024.
[11] 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.
[10] Hao Tan, Zichang Tan, Dunfang Weng, Ajian Liu, Jun Wan, Zhen Lei, Stan Z. Li, “Vision Transformer with Relation Exploration for Pedestrian Attribute Recognition”. IEEE Transactions on Multimedia (TMM), 2024.
[9] Hao Fang#, Ajian Liu#, Jun Wan, Sergio Escalera, Chenxu Zhao, Xu Zhang, Stan Z Li, Zhen Lei. “Surveillance face anti-spoofing”. IEEE Transactions on Information Forensics and Security (TIFS), 2023.
[8] 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.
[7] Zichang Tan, Ajian Liu, Jun Wan, Zhen Lei, Guodong Guo. “Exploring the limits of hard example mining for id document to selfie matching”. IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM), 2022.
[6] 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.
[5] Zichang Tan, Ajian Liu, Jun Wan, Hao Liu, Zhen Lei, Guodong Guo, Stan Z Li. “Cross-batch hard example mining with pseudo large batch for id vs. spot face recognition”. IEEE Transactions on Image Processing (TIP), 2022.
[4] 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.
[3] Ajian Liu, Xuan Li, Jun Wan, Yanyan Liang, Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, Yi Jin, Zhuoyuan Wu, Xiaogang Yu, Zichang Tan, Qi Yuan, Ruikun Yang, Benjia Zhou, Guodong Guo, Stan Z Li. “Cross‐ethnicity face anti‐spoofing recognition challenge: A review”. IET Biometrics, 2021.
[2] Shifeng Zhang#, Ajian Liu#, Jun Wan, Yanyan Liang, Guodong Guo, Sergio Escalera, Hugo Jair Escalante, Stan Z Li. “Casia-surf: A large-scale multi-modal benchmark for face anti-spoofing”. IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM), 2020.
[1] Fengmei Liang, Yajun Xu, Weixin Li, Xiaoling Ning, Xueou Liu, Ajian Liu. “Recognition algorithm based on improved FCM and rough sets for meibomian gland morphology”. Applied Sciences, 2017.

📋 Conferences

[28] Xinxing Yu, Ajian Liu*, Sunyuan Qiang, Yuzhong Wang, Hui Ma, Yanyan Liang. “PointMC: Multi-view Consistent Encoding and Center-Global Feature Fusion for Point Clouds Understanding”. The Fortieth AAAI Conference on Artificial Intelligence (AAAI), 2026/1/20.
[27] Tianshun Han, Benjia Zhou, Ajian Liu, Yanyan Liang, Du Zhang, Zhen Lei, Jun Wan. “PESTalk: Speech-Driven 3D Facial Animation with Personalized Emotional Styles”. Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM), 2025/10/27.
[26] Xinqi Su, Zitong Yu, Yawen Cui, Ajian Liu, Xun Lin, Yuhao Wang, Haochen Liang, Wenhui Li, Li Shen, Xiaochun Cao. “Dynamic analysis and adaptive discriminator for fake news detection”. Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM), 2025/10/27.
[25] Liying Yang, Chen Liu, Zhenwei Zhu, Ajian Liu, Hui Ma, Jian Nong, Yanyan Liang. “Not all frame features are equal: Video-to-4d generation via decoupling dynamic-static features”. International Conference on Computer Vision (ICCV), 2025/10/19.
[24] Zuying Xie, Changtao Miao, Ajian Liu*, Jiabao Guo, Feng Li, Dan Guo, Yunfeng Diao. “SUEDE: Shared Unified Experts for Physical-Digital Face Attack Detection Enhancement”. IEEE International Conference on Multimedia & Expo (ICME), 2025.
[23] Hao Tan, Zichang Tan, Jun Li, Ajian Liu, Jun Wan, Zhen Lei. “Recover and Match: Open-Vocabulary Multi-Label Recognition through Knowledge-Constrained Optimal Transport”. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
[22] Shunxin Chen#, Ajian Liu#, Junze Zheng, Jun Wan, Kailai Peng, Sergio Escalera, Zhen Lei. “Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection”. Proceedings of the AAAI Conference on Artificial Intelligence (Oral), 2025.
[21] Guosheng Zhang, Keyao Wang, Haixiao Yue, Ajian Liu*, Gang Zhang, Kun Yao, Errui Ding, Jingdong Wang. “Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models”. Proceedings of the AAAI Conference on Artificial Intelligence (Oral), 2025.
[20] 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.
[19] Xun Lin, Yi Yu, Zitong Yu, Ruohan Meng, Jiale Zhou, Ajian Liu, Yizhong Liu, Shuai Wang, Wenzhong Tang, Zhen Lei, Alex Ko. “HideMIA: Hidden Wavelet Mining for Privacy-Enhancing Medical Image Analysis”. Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM), 2024.
[18] Hang Zou, Chenxi Du, Hui Zhang, Yuan Zhang, Ajian Liu*, Jun Wan, Zhen Lei. “La-SoftMoE CLIP for Unified Physical-Digital Face Attack Detection”. International Joint Conference on Biometrics (IJCB), 2024.
[17] 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.
[16] Hao Fang#, Ajian Liu#, Haocheng Yuan, Junze Zheng, Dingheng Zeng, Yanhong Liu, Jiankang Deng, Sergio Escalera, Xiaoming Liu, Jun Wan, Zhen Lei. “Unified Physical-Digital Face Attack Detection”. International Joint Conference on Artificial Intelligence (IJCAI), 2024.
[15] Hao Fang, Ajian Liu, Ning Jiang, Quan Lu, Guoqing Zhao, Jun Wan. “VL-FAS: Domain Generalization via Vision-Language Model For Face Anti-Spoofing”. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
[14] Keyao Wang, Guosheng Zhang, Haixiao Yue, Ajian Liu*, Gang Zhang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang. “Multi-Domain Incremental Learning for Face Presentation Attack Detection”. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024.
[13] Xianhua He, Dashuang Liang, Song Yang, Zhanlong Hao, Hui Ma, Binjie Mao, Xi Li, Yao Wang, Pengfei Yan, Ajian Liu*. “Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Clues”. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024.
[12] Haocheng Yuan#, Ajian Liu#, Jun Wan, Zhen Lei, et al. “Unified Physical-Digital Attack Detection Challenge”. IEEE/CVF International Conference on Computer Vision Workshops (CVPRW), 2024.
[11] Hao Fang, Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei. “Surveillance Face Presentation Attack Detection Challenge”. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023.
[10] Ajian Liu, Zichang Tan, Yanyan Liang, Jun Wan. “Attack-Agnostic Deep Face Anti-Spoofing”. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023.
[9] Zitong Yu, Ajian Liu, Chenxu Zhao, Kevin HM Cheng, Xu Cheng, Guoying Zhao. “Flexible-modal face anti-spoofing: A benchmark”. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023.
[8] Dong Wang, Jia Guo, Qiqi Shao, Haochi He, Zhian Chen, Chuanbao Xiao, Ajian Liu, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Jun Wan, Jiankang Deng. “Wild face anti-spoofing challenge 2023: Benchmark and results”. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023.
[7] Ajian Liu, Yanyan Liang. “Ma-vit: Modality-agnostic vision transformers for face anti-spoofing”. International Joint Conference on Artificial Intelligence (IJCAI), 2022.
[6] Ajian Liu, Jun Wan, Ning Jiang, Hongbin Wang, Yanyan Liang. “Disentangling facial pose and appearance information for face anti-spoofing”. 26th international conference on pattern recognition (ICPR), 2022.
[5] Ajian Liu, Chenxu Zhao, Zitong Yu, Anyang Su, Xing Liu, Zijian Kong, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Guodong Guo. “3d high-fidelity mask face presentation attack detection challenge”. IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021.
[4] Ajian Liu#, Zichang Tan#, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z Li. “Casia-surf cefa: A benchmark for multi-modal cross-ethnicity face anti-spoofing”. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021.
[3] Xuan Li, Jun Wan, Yi Jin, Ajian Liu, Guodong Guo, Stan Z Li. “3DPC-Net: 3D point cloud network for face anti-spoofing”. IEEE International Joint Conference on Biometrics (IJCB), 2020.
[2] Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zichang Tan, Qi Yuan, Kai Wang, Chi Lin, Guodong Guo, Isabelle Guyon, Stan Z Li. “Multi-modal face anti-spoofing attack detection challenge at cvpr2019”. IEEE/CVF conference on computer vision and pattern recognition workshops (CVPRW), 2019.
[1] Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z Li. “CASIA-SURF-A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing”. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

🆚 Datasets (Co-first author) and Challenges (Co-Chair).

ICCV2025, UniAttackData++, Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning, 136/32.
CVPR2024, UniAttackData, Unified Physical-Digital Attack Detection, 205/23.
CVPR2023, CASIA_SuHiFiMask, Surveillance Face Presentation Attack Detection, 403/19.
ICCV2021, CASIA_HiFiMask, 3D High-Fidelity Mask Face Presentation Attack Detection, 195/18.
CVPR2020, CASIA_CeFA, Cross-ethnicity Face Anti-spoofing, 340/19.
CVPR2019, CASIA_SURF, Multi-modal Face Anti-spoofing Attack Detection Challenge, 503/4.
Keynote Speakers: Stan Z. Li, Abdenour Hadid, Xiaoming Liu, Guodong Guo, Sébastien Marcela, Guoying Zhao, Ajay Kumar, Alex Kot, Shiguang Shan, Lizhuang Ma, Karthik Nandakumar, Xiang Xu.

🎖 Honors and Awards

Macao Young Scholars Program (澳门青年学者计划), 2024.
2024-2026年度北京市青年人才托举工程, 北京市科学技术协会，2024.
1st Place of Pedestrian Attribute Recognition and Attributed-based Person Retrieval Challenge at WACV (国际行人属性识别竞赛), 2023.
Baidu Deep Learning Lab (IDL) Outstanding Intern of the Year Award（百度深度学习实验室年度优秀实习生奖), 2022.
IET Biometrics, High-impact article (高影响力论文), 2021.
2nd of Ground Sentry Unrestricted Face Recognition Challenge (地面哨兵无约束人脸识别挑战赛), 2020.
IEEE Transactions on Biometric Behavior and Identity Science (TBIOM), Best Paper Award (最佳论文奖), 2020.

🚀 Projects and Funds

澳门青年学者计划, 2025-03 至 2027-03, 72万元, 主持.
国家基金委青年科学基金项目, 2025-01 至 2027-12, 30万元, 主持.
博士后科学基金第74批面上资助, 2023-12 至 2025-12, 8万元, 主持.
国家重点研发计划, 人像鉴定及活体检测系统攻击检测与防御技术研究, 2021-12 至 2024-11, 130万元, 在研, 参与.

🕵️ Membership

北京物联网学会理事2025-2027
中国图象图形学会数字媒体取证与安全专委会委员
IEEE Senior Member

💬 Invited Talks

2024.07.21, 期刊投稿数据集论文的经验，Visual Intelligence 期刊发展研讨会.

🧑‍💻 Guest Editors

Special Issue “Trustworthy Multimodal Biometrics Authentication”, IET Biometrics (IF=1.8), 2024.

📝 Journal/Conference Reviewer

IET Biometrics, TMM, TIFS, IJCV
PRCV, CCBR, FG, IJCB, ICME, IJCAI, ECCV, ACM MM, AAAI, NeurIPS, CVPR

🕵️ Internships

2021.07 - 2022.04, IDL, Baidu Research, China .
2017.07 - 2020.12, CBSR, NLPR CASIA, China .