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)
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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)
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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)
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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)
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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)
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Interactive Supervision for New Intent Discovery, Zhanxuan Hu, Yan Xu, Lang He, Feiping Nie, IEEE Signal Processing Letters, 2024. (中科院SCI一区)
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Neural collapse inspired semi-supervised learning with fixed classifier, Zhanxuan Hu, Yichen Wang, Hailong Ning, Yonghang Tai, Feiping Nie, accepted by Information Sciences, 2024. (中科院SCI一区)
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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)
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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)
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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)
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Mutual-taught deep clustering, Zhanxuan Hu, Yichen Wang, Hailong Ning, Danyang Wu, Feiping Nie, Knowledge-Based Systems, 2023. (中科院SCI一区)
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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)
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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)
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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)
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Generalization Bottleneck in Deep Metric Learning, Zhanxuan Hu, Danang Wu, Feiping Nie, Rong Wang*, accepted by Information Science, 2021.(中科院SCI一区)
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Learning to Hash based on Angularly Discriminative Embedding, Zhanxuan Hu, Shuzheng Hao, Feiping Nie, Rong Wang*, Xuelong Li, accepted by 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);
🔥 Gallery
- 有报考意愿,欢迎联系下面学生打听课题组的相关情况,我更倾向招有读博意向+热爱运动(尤其跑步)的学生。
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陈文洋(2022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]
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李嘉瀚(2024级硕士,li_jiahan@outlook.com) 研究方向:视觉场景识别 [github]
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黄鑫(2024级硕士,huangxin.0808@outlook.com) 研究方向:蛋白质表征学习 [github]
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邓禧丽(2024级硕士,dengxili666@gmail.com) 研究方向:视觉场景识别 [github]
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王怡晨(2022级硕士,西安邮电大学,预期西北工业大学读博)研究方向:无监督学习、半监督学习 [github]
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徐琪钰(2023级硕士,西安邮电大学)研究方向:半监督学习、视觉场景定位 [github]
- 赵王栋(2023级硕士,西安邮电大学)研究方向:时间序列分析