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.

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:

1. Image Representation learning；
2. Computer vision problems in scenarios with limited annotations, especially in unmanned vision;
3. Applications of artificial intelligence in Medical and Biological；
4. 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

• 我更倾向招有读博意向+热爱运动（尤其跑步）的学生：

• 陈文洋（2022级硕士，dog.yang000@gmail.com）研究方向：基础模型、语义分割、伪装目标检测 [github]

• 李嘉瀚（2024级硕士，li_jiahan@outlook.com） 研究方向：视觉场景识别 [github]

• 黄鑫（2024级硕士，huangxin.0808@outlook.com） 研究方向：蛋白质表征学习 [github]

• 邓禧丽（2024级硕士，dengxili666@gmail.com） 研究方向：视觉场景识别 [github]

• 徐琪钰（2023级硕士）研究方向：半监督学习、视觉场景定位 [github]

• 赵王栋（2023级硕士）研究方向：时间序列分析

• 指导的毕业学生：

• 胡青松（2021级硕士，华东师范大学读博）研究方向：行人重识别、空间感知

• 王怡晨（2022级硕士，西北工业大学读博）研究方向：无监督学习、半监督学习

• 徐妍（2021级本科生，南开大学读研）研究方向：机器学习、数据挖掘

💬 Gallery

云师大蓝花楹小路

课题组第一次合照

2025.05.12