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Zhanxuan Hu
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2020 – today
- 2024
- [j28]Ercheng Pei, Zhanxuan Hu, Lang He, Hailong Ning, Abel Díaz Berenguer:
An ensemble learning-enhanced multitask learning method for continuous affect recognition from facial images. Expert Syst. Appl. 236: 121290 (2024) - [j27]Long Han, Xinming Wu, Zhanxuan Hu, Jintao Li, Huijing Fang:
MAMCL: Multi-attributes Masking Contrastive Learning for explainable seismic facies analysis. Comput. Geosci. 193: 105731 (2024) - [j26]Qingsong Hu, Huafeng Li, Zhanxuan Hu, Feiping Nie:
Diverse semantic information fusion for Unsupervised Person Re-Identification. Inf. Fusion 107: 102319 (2024) - [j25]Zhanxuan Hu, Yichen Wang, Hailong Ning, Yonghang Tai, Feiping Nie:
Neural collapse inspired semi-supervised learning with fixed classifier. Inf. Sci. 667: 120469 (2024) - [j24]Huafeng Li, Chen Zhang, Zhanxuan Hu, Yafei Zhang, Zhengtao Yu:
Interactive attack-defense for generalized person re-identification. Neural Networks 176: 106349 (2024) - [j23]Zhanxuan Hu, Yan Xu, Lang He, Feiping Nie:
Interactive Supervision for New Intent Discovery. IEEE Signal Process. Lett. 31: 1680-1684 (2024) - [c3]Huafeng Li, Qingsong Hu, Zhanxuan Hu:
Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration. AAAI 2024: 3091-3099 - 2023
- [j22]Hailong Ning, Tao Lei, Mengyuan An, Hao Sun, Zhanxuan Hu, Asoke K. Nandi:
Scale-wise interaction fusion and knowledge distillation network for aerial scene recognition. CAAI Trans. Intell. Technol. 8(4): 1178-1190 (2023) - [j21]Zhanxuan Hu, Yichen Wang, Hailong Ning, Danyang Wu, Feiping Nie:
Mutual-Taught Deep Clustering. Knowl. Based Syst. 282: 111100 (2023) - [j20]Huafeng Li, Minghui Liu, Zhanxuan Hu, Feiping Nie, Zhengtao Yu:
Intermediary-Guided Bidirectional Spatial-Temporal Aggregation Network for Video-Based Visible-Infrared Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4962-4972 (2023) - [j19]Zhengxin Li, Feiping Nie, Danyang Wu, Zhanxuan Hu, Xuelong Li:
Unsupervised Feature Selection With Weighted and Projected Adaptive Neighbors. IEEE Trans. Cybern. 53(2): 1260-1271 (2023) - [j18]Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Xuelong Li, Heng Huang:
Iteratively Re-Weighted Method for Sparsity-Inducing Norms. IEEE Trans. Knowl. Data Eng. 35(7): 7045-7055 (2023) - [j17]Feiping Nie, Xia Dong, Zhanxuan Hu, Rong Wang, Xuelong Li:
Discriminative Projected Clustering via Unsupervised LDA. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9466-9480 (2023) - 2022
- [j16]Ziheng Li, Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li:
Multi-view clustering based on generalized low rank approximation. Neurocomputing 471: 251-259 (2022) - [j15]Danyang Wu, Han Wang, Zhanxuan Hu, Feiping Nie:
Improved deep metric learning with local neighborhood component analysis. Inf. Sci. 617: 165-176 (2022) - [j14]Hailong Ning, Bin Zhao, Zhanxuan Hu, Lang He, Ercheng Pei:
Audio-visual collaborative representation learning for Dynamic Saliency Prediction. Knowl. Based Syst. 256: 109675 (2022) - [j13]Feiping Nie, Ziheng Li, Zhanxuan Hu, Rong Wang, Xuelong Li:
Robust Matrix Completion With Column Outliers. IEEE Trans. Cybern. 52(11): 12042-12055 (2022) - [j12]Jintao Li, Xinming Wu, Zhanxuan Hu:
Deep Learning for Simultaneous Seismic Image Super-Resolution and Denoising. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j11]Feiping Nie, Wei Chang, Zhanxuan Hu, Xuelong Li:
Robust Subspace Clustering With Low-Rank Structure Constraint. IEEE Trans. Knowl. Data Eng. 34(3): 1404-1415 (2022) - 2021
- [j10]Danyang Wu, Zhanxuan Hu, Feiping Nie, Rong Wang, Hui Yang, Xuelong Li:
Multi-view clustering with interactive mechanism. Neurocomputing 449: 378-388 (2021) - [j9]Ziheng Li, Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li:
Matrix completion with column outliers and sparse noise. Inf. Sci. 573: 125-140 (2021) - [j8]Zhanxuan Hu, Shuzheng Hao, Feiping Nie, Rong Wang, Xuelong Li:
Learning to hash based on angularly discriminative embedding. Inf. Sci. 579: 541-552 (2021) - [j7]Zhanxuan Hu, Danyang Wu, Feiping Nie, Rong Wang:
Generalization bottleneck in deep metric learning. Inf. Sci. 581: 249-261 (2021) - [j6]Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li:
Low Rank Regularization: A review. Neural Networks 136: 218-232 (2021) - 2020
- [j5]Zhanxuan Hu, Feiping Nie, Wei Chang, Shuzheng Hao, Rong Wang, Xuelong Li:
Multi-view spectral clustering via sparse graph learning. Neurocomputing 384: 1-10 (2020) - [j4]Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li:
Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding. Inf. Fusion 55: 251-259 (2020)
2010 – 2019
- 2019
- [j3]Feiping Nie, Zhanxuan Hu, Xuelong Li:
Matrix Completion Based on Non-Convex Low-Rank Approximation. IEEE Trans. Image Process. 28(5): 2378-2388 (2019) - [i2]Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Rong Wang, Xuelong Li, Heng Huang:
An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms. CoRR abs/1907.01121 (2019) - 2018
- [j2]Feiping Nie, Zhanxuan Hu, Xuelong Li:
An investigation for loss functions widely used in machine learning. Commun. Inf. Syst. 18(1): 37-52 (2018) - [j1]Zhe Liu, Zhanxuan Hu, Feiping Nie:
Matrix completion and vector completion via robust subspace learning. Neurocomputing 306: 171-181 (2018) - [c2]Zhanxuan Hu, Feiping Nie, Xuelong Li:
Robust Low Rank Approxiamtion via Inliers Selection. ICIP 2018: 3688-3692 - [c1]Feiping Nie, Zhanxuan Hu, Xuelong Li:
Calibrated Multi-Task Learning. KDD 2018: 2012-2021 - [i1]Zhanxuan Hu, Feiping Nie, Lai Tian, Xuelong Li:
A Comprehensive Survey for Low Rank Regularization. CoRR abs/1808.04521 (2018)
Coauthor Index
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