Zhanxuan Hu
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Zhanxuan Hu(户战选) |
Reasarch Introduction
My research interests mainly include label-efficient tasks in Machine Learning, Computer vision, and Time series analysis, such as unsupervised learning, semi-supervised learning, and self-supervised learning. Besides, I work on applying these methods to solving Geoscience problems.
Education
Ph.D., Sept. 2017 - 2021
Advisor: Prof. Feiping Nie
School of Artificial Intelligence, Optics and Electronics(iOPEN)
Northwestern Polytechnical University
B.E., Sept. 2011 - June 2015
Daqing Normal University
Collaboration
Machine Learing, Computer vision and Time series analysis
Prof. Feiping Nie
Geophysics
Prof. Xinming Wu
Selected Publications
Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration, H Li, M Liu, Z Hu*, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024
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Intermediary-guided Bidirectional Spatial-Temporal Aggregation Network for Video-based Visible-Infrared Person Re-Identification, H Li, M Liu, Z Hu*, F Nie and Z Yu, IEEE Transactions on Circuits and Systems for Video Technology (IEEE-TCSVT), 2023
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Unsupervised contrastive learning for seismic facies characterization,
J Li, X Wu, Y Ye, C Yang, Z Hu, X Sun and T Zhao, Geophysics, 2023
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Discriminative Projected Clustering via Unsupervised LDA,
F Nie, X Dong, Z Hu, R Wang and X Li, IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS), 2022
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Iteratively Re-Weighted method for Sparsity-Inducing Norms,
F Nie, Z Hu, X Wang, X Li and H Huang, IEEE Transactions on Knowledge and Data Engineering (IEEE-TKDE), 2022
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Improved deep metric learning with local neighborhood component analysis,
Danyang Wu, Han Wang, Z Hu* and Feiping Nie, Information Sciences (INS), 2022
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Audio-visual collaborative representation learning for Dynamic Saliency Prediction,
H Ning, B Zhao, Z Hu, L He, E Pei, Knowledge-Based Systems (KBS), 2022
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Generalization Bottleneck in Deep Metric Learning,
Zhanxuan Hu, Danang Wu, Feiping Nie, Rong Wang*, Information Sciences (INS), 2021
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Learning to Hash based on Angularly Discriminative Embedding,
Zhanxuan Hu, Shuzheng Hao, Feiping Nie, Rong Wang*, Xuelong Li, Information Sciences (INS), 2021
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Deep learning for simultaneous seismic image super-resolution and denoising,
Jintao Li, Xinming Wu*, Zhanxuan Hu, IEEE Transactions on Geoscience and Remote Sensing(IEEE-TGRS), 2021
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Robust Matrix Completion with Column Outliers,
Feiping Nie*, Ziheng Li, Zhanxuan Hu, Rong Wang, Xuelong Li, IEEE Transactions on Cybernetics(IEEE-TCYB), 2021
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Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding,
Zhanxuan Hu, Feiping Nie, Rong Wang*, Xuelong Li, Information Fusion (INF), 2020
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Low Rank Regularization: A review,
Zhanxuan Hu, Feiping Nie, Rong Wang*, Xuelong Li, Neural Networks (NN), 2020
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Multi-view spectral clustering via sparse graph learning,
Zhanxuan Hu, Feiping Nie, Wei Chang, Shuzheng Hao, Rong Wang*, Xuelong Li, Neurocomputing (NC), 2020
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