Zhanxuan Hu

According to our database, Zhanxuan Hu authored at least 28 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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 Syst. Appl., February, 2024

Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration.

Huafeng Li, Qingsong Hu, Zhanxuan Hu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Mutual-Taught Deep Clustering.

Zhanxuan Hu, Yichen Wang, Hailong Ning, Danyang Wu, Feiping Nie

Knowl. Based Syst., December, 2023

Scale-wise interaction fusion and knowledge distillation network for aerial scene recognition.

Hailong Ning, Tao Lei, Mengyuan An, Hao Sun, Zhanxuan Hu, Asoke K. Nandi

CAAI Trans. Intell. Technol., December, 2023

Discriminative Projected Clustering via Unsupervised LDA.

Feiping Nie, Xia Dong, Zhanxuan Hu, Rong Wang, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Intermediary-Guided Bidirectional Spatial-Temporal Aggregation Network for Video-Based Visible-Infrared Person Re-Identification.

Huafeng Li, Minghui Liu, Zhanxuan Hu, Feiping Nie, Zhengtao Yu

IEEE Trans. Circuits Syst. Video Technol., September, 2023

Iteratively Re-Weighted Method for Sparsity-Inducing Norms.

Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Xuelong Li, Heng Huang

IEEE Trans. Knowl. Data Eng., July, 2023

Unsupervised Feature Selection With Weighted and Projected Adaptive Neighbors.

Zhengxin Li, Feiping Nie, Danyang Wu, Zhanxuan Hu, Xuelong Li

IEEE Trans. Cybern., 2023

2022

Robust Subspace Clustering With Low-Rank Structure Constraint.

Feiping Nie, Wei Chang, Zhanxuan Hu, Xuelong Li

IEEE Trans. Knowl. Data Eng., 2022

Deep Learning for Simultaneous Seismic Image Super-Resolution and Denoising.

Jintao Li, Xinming Wu, Zhanxuan Hu

IEEE Trans. Geosci. Remote. Sens., 2022

Robust Matrix Completion With Column Outliers.

Feiping Nie, Ziheng Li, Zhanxuan Hu, Rong Wang, Xuelong Li

IEEE Trans. Cybern., 2022

Audio-visual collaborative representation learning for Dynamic Saliency Prediction.

Hailong Ning, Bin Zhao, Zhanxuan Hu, Lang He, Ercheng Pei

Knowl. Based Syst., 2022

Improved deep metric learning with local neighborhood component analysis.

Danyang Wu, Han Wang, Zhanxuan Hu, Feiping Nie

Inf. Sci., 2022

Multi-view clustering based on generalized low rank approximation.

Ziheng Li, Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li

Neurocomputing, 2022

2021

Low Rank Regularization: A review.

Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li

Neural Networks, 2021

Matrix completion with column outliers and sparse noise.

Ziheng Li, Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li

Inf. Sci., 2021

Generalization bottleneck in deep metric learning.

Zhanxuan Hu, Danyang Wu, Feiping Nie, Rong Wang

Inf. Sci., 2021

Learning to hash based on angularly discriminative embedding.

Zhanxuan Hu, Shuzheng Hao, Feiping Nie, Rong Wang, Xuelong Li

Inf. Sci., 2021

Multi-view clustering with interactive mechanism.

Danyang Wu, Zhanxuan Hu, Feiping Nie, Rong Wang, Hui Yang, Xuelong Li

Neurocomputing, 2021

2020

Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding.

Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li

Inf. Fusion, 2020

Multi-view spectral clustering via sparse graph learning.

Zhanxuan Hu, Feiping Nie, Wei Chang, Shuzheng Hao, Rong Wang, Xuelong Li

Neurocomputing, 2020

2019

Matrix Completion Based on Non-Convex Low-Rank Approximation.

Feiping Nie, Zhanxuan Hu, Xuelong Li

IEEE Trans. Image Process., 2019

An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms.

Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Rong Wang, Xuelong Li, Heng Huang

CoRR, 2019

2018

Matrix completion and vector completion via robust subspace learning.

Zhe Liu, Zhanxuan Hu, Feiping Nie

Neurocomputing, 2018

A Comprehensive Survey for Low Rank Regularization.

Zhanxuan Hu, Feiping Nie, Lai Tian, Xuelong Li

CoRR, 2018

An investigation for loss functions widely used in machine learning.

Feiping Nie, Zhanxuan Hu, Xuelong Li

Commun. Inf. Syst., 2018

Calibrated Multi-Task Learning.

Feiping Nie, Zhanxuan Hu, Xuelong Li

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Robust Low Rank Approxiamtion via Inliers Selection.

Zhanxuan Hu, Feiping Nie, Xuelong Li

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018