✨ About Me

I am currently an Associate Professor and Master Supervisor at the College of Artificial Intelligence of Taiyuan University of Technology, Shanxi, China. I graduated from School of Big Data & Software Engineering of Chongqing University with a PhD degree, advised by Professors Dan Yang, Xiaohong Zhang and Sheng Huang.

My research interest includes Visual Language Model (VLM), Computer Vision (CV), Face anti-Spoofing (FAS) and Image Segmentation.

🔥 News

• 2026.01: 🎉 One paper is accepted by ICASSP 2026
• 2025.11: 🎉 One paper is accepted by EAAI

👨‍🏫 Recruitment

• 每年招收各类研究生共计3-5人。
• 欢迎报考学术型硕士研究生、专业型硕士研究生、接收校内外相关专业推免研究生！
• 寻找热爱AI、学有余力的本科生伙伴！
• 欢迎发送邮件：zhoudaoxiang@tyut.edu.cn

💻 Research Projects

• [PI] National Natural Science Foundation of China（国家自然科学基金青年项目C类）, 2021

• [PI] Fundamental Research Program of Shanxi Province of China（山西省面上项目）, 2024

• [Core Member] Key Research and Development Program of Shanxi Province (山西省重点研发项目）, 2024

• [PI] Fundamental Research Program of Shanxi Province of China（山西省青年项目）, 2019

• [PI] Scientific and Technologial Innovation Programs of Higher Education Institutions in Shanxi（山西省高等学校科技创新项目）, 2021

• [PI] Teaching Reform Project of Shanxi Province（山西省教学改革项目）, 2024

📝 Publications

First Author and Corresponding Author English Papers

ICASSP 2026

Jun Zhang, Jia Shen, Hui Wang, Jiahua Liu, Yixing Gao, Shu Feng, Dongxi Li, Daoxiang Zhou*.
Heterogeneous Feature Mutual-Calibration Assisted Online Distillation for Efficient Face Anti-Spoofing. ICASSP (CCF-B).

• We propose a novel online distillation framework, enabling bidirectional feature transfer and collaborative training between teacher and student.
• We design a cascaded local-global feature extractor that enhances the representation capacity of teacher and guides the student to learn both texture details and global information of face image.
• We introduce a feature mutual calibration distillation loss to deal with intermediate feature mismatches between teacher and student.

EAAI 2024

Yunfei Zhang, Jun Zhang, Tonglu Li, Feixue Shao, Xuetao Ma, Yongfei Wu, Shu Feng, Daoxiang Zhou*.
ACAN: A Plug-and-Play Adaptive Center-Aligned Network for Unsupervised Domain Adaptation. Engineering Applications of Artificial Intelligence (SCI, Q1-TOP).

• It is a plug-and-play module and can be easily incorporated into any domain alignment methods.
• Angular margin loss is called to enhance the discrimination power for classifier.
• Entropy regularization is exploited to highlight the probability of potential related class.

ASOC 2024

Jun Zhang, Yunfei Zhang, Feixue Shao, Xuetao Ma, Shu Feng, Yongfei Wu, Daoxiang Zhou*.
Efficient face anti-spoofing via head-aware transformer based knowledge distillation with 5 MB model parameters. Applied Soft Computing (SCI, Q2-TOP).

• Feature- and logits-level distillation are combined to transfer the rich knowledge of teacher to student.
• A head-aware strategy is proposed to deal with the dimension mismatching issue of middle encoder layers between teacher and student networks.
• Our student network is extremely lightweight with only 5 MB parameters.

• EAAI 2026 Daoxiang Zhou*, Feixue Shao, Jun Zhang, Yunfei Zhang, Shu Feng. Multi-scale orthogonal Gabor filters based ConvNets for illumination robust single sample face recognition. Engineering Applications of Artificial Intelligence (SCI, Q1-TOP).
• EAAI 2022 Daoxiang Zhou*, Shu Feng. M3SPCANet: A simple and effective ConvNets with unsupervised predefined filters for face recognition. Engineering Applications of Artificial Intelligence (SCI, Q1-TOP).
• NPL 2019 Daoxiang Zhou*, Dan Yang, Xiaohong Zhang, Sheng Huang, Shu Feng. Discriminative Probabilistic Latent Semantic Analysis with Application to Single Sample Face Recognition. Neural Processing Letters (CCF-C).
• MTA 2018 Daoxiang Zhou*, Dan Yang, Xiaohong Zhang. Exploring joint encoding of multi-direction local binary patterns for image classification. Multimedia Tools and Applications (CCF-C).
• JEI 2017 Daoxiang Zhou*, Dan Yang, Xiaohong Zhang, Sheng Huang, Shu Feng. Cascaded K-means convolutional feature learner and its application to face recognition. Journal of Electronic Imaging (SCI).
• ICDIP 2023 Daoxiang Zhou*, Yunfei Zhang, Jun Zhang. Exploring hybrid pooling of pretrained residual network for face anti-spoofing. In Proceedings of the 15th International Conference on Digital Image Processing (ICDIP), Nanjing, China (EI).
• MTA 2019 Yongfei Wu, Xilin Liu, Daoxiang Zhou*, Yang Liu. Adaptive active contour model driven by image data field for image segmentation with flexible initialization. Multimedia Tools and Applications (CCF-C).
• PRCV 2023 Jun Zhang, Yunfei Zhang, Feixue Shao, Xuetao Ma, Daoxiang Zhou*. KDFAS: Multi-stage Knowledge Distillation Vision Transformer for Face Anti-spoofing. In 6th Chinese Conference on Pattern Recognition and Computer Vision (CCF-C).
• PRCV 2022 Xuetao Ma, Jun Zhang, Yunfei Zhang, Daoxiang Zhou*. Exploring Masked Image Modeling for Face Anti-spoofing. In 5th Chinese Conference on Pattern Recognition and Computer Vision (CCF-C).

Co-authored English Papers

• GRSL 2023 Zhigang Yang, Daoxiang Zhou, Ying Yang, Jiapeng Zhang, Zehua Chen*. Road extraction from satellite imagery by road context and full-stage feature. IEEE Geoscience and Remote Sensing Letters (ESI).
• ESWA 2024 Jianan Zhang, Yongfei Wu*, Fang Hao, Xueyu Liu, Ming Li, Daoxiang Zhou, Wen Zheng. Double similarities weighted multi-instance learning kernel and its application. Expert Systems with Applications (SCI, Q1-TOP).
• TIV 2024 Xianzhi Ma, Xiaokai Zhang, Daoxiang Zhou, Zehua Chen*. StripUnet: A Method for Dense Road Extraction from Remote Sensing Images. IEEE Transactions on Intelligent Vehicles (SCI, Q1).
• Measurement 2022 Yexin Lai, Xueyu Liu, Yongfei Wu*, Daoxiang Zhou, Chen Wang, Dan Niu, Weixia Han, Xiaoshuang Zhou, Jiayan Chen, Wen Zheng. Interstitial fibrosis and tubular atrophy measurement via hierarchical extractions of kidney and atrophy regions with deep learning method. Measurement (SCI, Q2).
• GRSL 2024 Qingliang Meng, Daoxiang Zhou, Xiaokai Zhang, Zhigang Yang, Zehua Chen*. Road Extraction From Remote Sensing Images via Channel Attention and Multilayer Axial Transformer. IEEE Geoscience and Remote Sensing Letters (SCI).
• GRSL 2022 Zhigang Yang, Daoxiang Zhou, Ying Yang, Jiapeng Zhang, Zehua Chen*. TransRoadNet: A novel road extraction method for remote sensing images via combining high-level semantic feature and context. IEEE Geoscience and Remote Sensing Letters (SCI).
• IJCIM 2021 Xinyu Li, Ming Li*, Yongfei Wu, Daoxiang Zhou, Tianyu Liu, Fang Hao, Junhong Yue, Qiyue Ma. Accurate screw detection method based on faster R-CNN and rotation edge similarity for automatic screw disassembly. International Journal of Computer Integrated Manufacturing (SCI).
• JARS 2022 Jiehuang Ren, Liye Jia, Junhong Yue*, Xueyu Liu, Lixin Sun, Yongfei Wu, Daoxiang Zhou. Unsupervised domain adaptation using modified cycle generative adversarial network for aerial image classification. Journal of Applied Remote Sensing (SCI).
• AIC 2023 Xueyu Liu, Ming Li*, Yongfei Wu, Yilin Chen, Fang Hao, Daoxiang Zhou, Chen Wang, Chuanfeng Ma, Guangze Shi, Xiaoshuang Zhou. An efficient glomerular object locator for renal whole slide images using proposal-free network and dynamic scale evaluation method. AI Communications (SCI).

中文论文

• 西安交通大学学报 2020 刘天宇, 周稻祥*, 李明, 李心宇. 面向螺丝锁附序列的多分辨率融合卷积神经网络研究. 西安交通大学学报 (EI).
• 太原理工大学学报 2023 周稻祥*, 冯姝. 联合Gabor滤波器和核池化特征学习的单样本人脸识别与验证. 太原理工大学学报 (北大核心).
• 计算机工程与设计 2024 张晶, 周稻祥*, 吴永飞, 冯姝. 联合度量指标损失和U-Net的文档图像二值化. 计算机工程与设计 (北大核心).
• 计算机工程 2021 文韬, 周稻祥, 李明*. Mask RCNN中特征不平衡问题的全局信息融合方法研究. 计算机工程 (北大核心).
• 太原理工大学学报 2020 邓煜, 李明*, 周稻祥. 基于两阶段随机森林的螺丝锁附结果判别研究. 太原理工大学学报 (北大核心).
• 济南大学学报 2020 吴皋, 李明*, 周稻祥, 岳俊宏, 肖福龙. 基于深度集成朴素贝叶斯的文本分类. 济南大学学报 (北大核心).
• 计算机工程 2020 高宏伟, 韩晓红*, 周稻祥. 基于改进Faster R-CNN的超新星目标检测方法. 计算机工程 (北大核心).
• 中北大学学报 2020 宋雪倩, 周稻祥, 韩晓红*, 李心宇. 基于循环神经网络的螺丝锁附状态检测. 中北大学学报.

🏅 Certifications and Awards

教学相关获奖

• 太原理工大学青年教师教学竞赛（工科类），二等奖， 2019
• 疫情期间网络教学先进教师评选，二等奖， 2020
• 太原理工大学课程思政教学设计大赛，二等奖， 2023

指导毕业论文获奖

• (Supervisor) 硕士生张俊，校级优秀论文 2025.
• (Supervisor) 硕士生张云飞，校级优秀论文 2025.
• (Supervisor) 本科生杨智垚，校级优秀论文 2021.

指导竞赛获奖（A类学科竞赛）

• (Supervisor) 全国大学生数学建模竞赛，国二 2021(x2), 2024. 省一 2020, 2021, 2025.
• (Supervisor) 研究数学建模竞赛，国二 2024, 2025. 国三 2024.
• (Supervisor) 市场调查与分析大赛，国三 2024, 2025.
• (Supervisor) 互联网+创新创业大赛，省金奖 2022. 省银奖 2023.

🧑‍ Alumni

毕业研究生（部分）

• 马雪涛 (2020-2023)，北京师范大学攻读博士
• 邵飞雪 (2021-2024)，太原理工大学攻读博士
• 张俊 (2022-2025)，获研究生国家奖学金，吉林大学攻读博士
• 张云飞 (2022-2025)，获研究生国家奖学金，西安交通大学攻读博士