I am currently an Associate Professor in the School of Information Science and Technology at Yunnan Normal University, starting in Spring 2024. Previously, I served as an Associate Professor in the School of Computer Science and Technology at Xi’an University of Posts and Telecommunications. I earned my Ph.D. in Computer Science from Northwestern Polytechnical University in 2021 and my B.E. in Electronic Information Engineering from Daqing Normal University in 2015.

I am always seeking self-motivated master’s students and undergraduate interns. If you are interested, please feel free to contact me via email(zhanxuanhu@gmail.com).

🎉 Research Interests(研究兴趣)

Our team’s research interests focus on the following areas:

Image Representation learning；
Computer vision problems in scenarios with limited annotations, especially in unmanned vision;
Applications of artificial intelligence in Medical and Biological；
Applications of artificial intelligence in Geophysics.

🎖 Services（社会服务）

Journal Reviewer: IEEE-TNNLS, IEEE-TCSVT, IEEE-TIP, etc.

📖 Educations（教育经历）

2017.09 - 2021.06, Ph.D.Advisor: Prof. Feiping Nie, School of Artificial Intelligence, Optics and Electronics(iOPEN) Northwestern Polytechnical University.
2011.09 - 2015.06, B.E.Daqing Normal University.

📝 Selected Publications（代表性论文）

Mutual-support generalized category discovery, Yu Duan, Zhanxuan Hu, Rong Wang, Zhensheng Sun, Feiping Nie, Xuelong Li, Information Fusion, 2025. (中科院SCI一区)
Prototypical classifier with distribution consistency regularization for generalized category discovery: A strong baseline, Zhanxuan Hu, Yu Duan, Yaming Zhang, Rong Wang, Feiping Nie, Neural Networks, 2025. (中科院SCI一区)
Interactive attack-defense for generalized person re-identification, Huafeng Li, Chen Zhang, Zhanxuan Hu, Yafei Zhang, Zhengtao Yu, Neural Networks, 2024.(中科院SCI一区，通讯作者)
Diverse semantic information fusion for Unsupervised Person Re-Identification, Qingsong Hu, Huafeng Li, Zhanxuan Hu, Feiping Nie, Information Fusion, 2024.(中科院SCI一区，通讯作者)
Interactive Supervision for New Intent Discovery, Zhanxuan Hu, Yan Xu, Lang He, Feiping Nie, IEEE Signal Processing Letters, 2024. (中科院SCI二区)
Neural collapse inspired semi-supervised learning with fixed classifier, Zhanxuan Hu, Yichen Wang, Hailong Ning, Yonghang Tai, Feiping Nie, Information Sciences, 2024. (中科院SCI一区)
Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration, H Li, M Liu, Zhanxuan Hu, Proceedings of the AAAI Conference on Artificial Intelligence, 2024. (CCF-A类会议，通讯作者)
An ensemble learning-enhanced multitask learning method for continuous affect recognition from facial images, Ercheng Pei, Zhanxuan Hu, Lang He, Hailong Ning, Abel Díaz Berenguer, Expert Systems with Applications, 2024. (中科院SCI一区，通讯作者)
Intermediary-guided Bidirectional Spatial-Temporal Aggregation Network for Video-based Visible-Infrared Person Re-Identification, Huafeng Li, Minghui Liu, Zhanxuan Hu, Feiping Nie and Zhengtao Yu, IEEE Transactions on Circuits and Systems for Video Technology, 2023. (中科院SCI一区，通讯作者)
Mutual-taught deep clustering, Zhanxuan Hu, Yichen Wang, Hailong Ning, Danyang Wu, Feiping Nie, Knowledge-Based Systems, 2023. (中科院SCI一区)
Discriminative Projected Clustering via Unsupervised LDA, Feiping Nie, Xia Dong, Zhanxuan Hu, Rong Wang and Xuelong Li, IEEE Transactions on Neural Networks and Learning Systems,2022. (中科院SCI一区)
Iteratively Re-Weighted method for Sparsity-Inducing Norms, Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Xuelong Li and Heng Huang, IEEE Transactions on Knowledge and Data Engineering (IEEE-TKDE), 2022. (中科院SCI二区)
Improved deep metric learning with local neighborhood component analysis, Danyang Wu, Han Wang, Zhanxuan Hu and Feiping Nie, Information Sciences, 2022. (中科院SCI一区,通讯作者)
Generalization Bottleneck in Deep Metric Learning, Zhanxuan Hu, Danang Wu, Feiping Nie, Rong Wang*, Information Science, 2021.(中科院SCI一区)
Learning to Hash based on Angularly Discriminative Embedding, Zhanxuan Hu, Shuzheng Hao, Feiping Nie, Rong Wang*, Xuelong Li, Information Sciences, 2021.(中科院SCI一区)

🎉 Founds

2024.12-2029.12, 面向云南文旅的视觉场景定位关键技术研究, 云南省”兴滇英才”青年人才项目(主持);
2025.01-2027.01, 基于视觉基础模型的图像表征学习方法研究, 云南省自然科学基金, 面上项目(主持);
2023.01-2025.12, 基于代表性子集标注的大规模图像表征学习方法研究, 国家自然科学基金, 青年项目(主持);
2023.01-2025.12, 基于结构化先验的机器人动态光照环境稳定抓取检测方法研究, 国家自然科学基金, 面上项目 (参与);
2023.12-2024.05, 基于深度学习的油气智能检测技术研究 (参与);

🔥 Group