Robust Low Rank Approxiamtion via Inliers Selection. - Zhanxuan Hu; Feiping Nie 001; Xuelong Li 001 (ICIP, 2018)

Calibrated Multi-Task Learning. - Feiping Nie 001; Zhanxuan Hu; Xuelong Li 001 (KDD, 2018)

An investigation for loss functions widely used in machine learning. - Feiping Nie 001; Zhanxuan Hu; Xuelong Li 001 (Commun. Inf. Syst., 2018)

A Comprehensive Survey for Low Rank Regularization. - Zhanxuan Hu; Feiping Nie 001; Lai Tian; Xuelong Li 001 (CoRR, 2018)

Matrix completion and vector completion via robust subspace learning. - Zhe Liu 008; Zhanxuan Hu; Feiping Nie 001 (Neurocomputing, 2018)

An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms. - Feiping Nie 001; Zhanxuan Hu; Xiaoqian Wang 001; Rong Wang 001; Xuelong Li 001; Heng Huang (CoRR, 2019)

Matrix Completion Based on Non-Convex Low-Rank Approximation. - Feiping Nie 001; Zhanxuan Hu; Xuelong Li 001 (IEEE Trans. Image Process., 2019)

Multi-view spectral clustering via sparse graph learning. - Zhanxuan Hu; Feiping Nie 001; Wei Chang 002; Shuzheng Hao; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2020)

Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding. - Zhanxuan Hu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Inf. Fusion, 2020)

Multi-view clustering with interactive mechanism. - Danyang Wu; Zhanxuan Hu; Feiping Nie 001; Rong Wang 001; Hui Yang 005; Xuelong Li 001 (Neurocomputing, 2021)

Learning to hash based on angularly discriminative embedding. - Zhanxuan Hu; Shuzheng Hao; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Inf. Sci., 2021)

Generalization bottleneck in deep metric learning. - Zhanxuan Hu; Danyang Wu; Feiping Nie 001; Rong Wang 001 (Inf. Sci., 2021)

Matrix completion with column outliers and sparse noise. - Ziheng Li; Zhanxuan Hu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Inf. Sci., 2021)

Low Rank Regularization: A review. - Zhanxuan Hu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Neural Networks, 2021)

Multi-view clustering based on generalized low rank approximation. - Ziheng Li; Zhanxuan Hu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2022)

Improved deep metric learning with local neighborhood component analysis. - Danyang Wu; Han Wang; Zhanxuan Hu; Feiping Nie 001 (Inf. Sci., 2022)

Audio-visual collaborative representation learning for Dynamic Saliency Prediction. - Hailong Ning; Bin Zhao 001; Zhanxuan Hu; Lang He; Ercheng Pei (Knowl. Based Syst., 2022)

Robust Matrix Completion With Column Outliers. - Feiping Nie 001; Ziheng Li; Zhanxuan Hu; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Cybern., 2022)

Deep Learning for Simultaneous Seismic Image Super-Resolution and Denoising. - Jintao Li; Xinming Wu; Zhanxuan Hu (IEEE Trans. Geosci. Remote. Sens., 2022)

Robust Subspace Clustering With Low-Rank Structure Constraint. - Feiping Nie 001; Wei Chang 002; Zhanxuan Hu; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2022)

Unsupervised Feature Selection With Weighted and Projected Adaptive Neighbors. - Zhengxin Li; Feiping Nie 001; Danyang Wu; Zhanxuan Hu; Xuelong Li 001 (IEEE Trans. Cybern., 2023)

Iteratively Re-Weighted Method for Sparsity-Inducing Norms. - Feiping Nie 001; Zhanxuan Hu; Xiaoqian Wang 001; Xuelong Li 001; Heng Huang (IEEE Trans. Knowl. Data Eng., 2023)

Intermediary-Guided Bidirectional Spatial-Temporal Aggregation Network for Video-Based Visible-Infrared Person Re-Identification. - Huafeng Li; Minghui Liu; Zhanxuan Hu; Feiping Nie 001; Zhengtao Yu 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Discriminative Projected Clustering via Unsupervised LDA. - Feiping Nie 001; Xia Dong; Zhanxuan Hu; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Scale-wise interaction fusion and knowledge distillation network for aerial scene recognition. - Hailong Ning; Tao Lei; Mengyuan An; Hao Sun 014; Zhanxuan Hu; Asoke K. Nandi (CAAI Trans. Intell. Technol., 2023)

Mutual-Taught Deep Clustering. - Zhanxuan Hu; Yichen Wang; Hailong Ning; Danyang Wu; Feiping Nie 001 (Knowl. Based Syst., 2023)

Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration. - Huafeng Li; Qingsong Hu; Zhanxuan Hu (AAAI, 2024)

MAMCL: Multi-attributes Masking Contrastive Learning for explainable seismic facies analysis. - Long Han; Xinming Wu; Zhanxuan Hu; Jintao Li; Huijing Fang (Comput. Geosci., 2024)

Diverse semantic information fusion for Unsupervised Person Re-Identification. - Qingsong Hu; Huafeng Li; Zhanxuan Hu; Feiping Nie 001 (Inf. Fusion, 2024)

Neural collapse inspired semi-supervised learning with fixed classifier. - Zhanxuan Hu; Yichen Wang; Hailong Ning; Yonghang Tai; Feiping Nie 001 (Inf. Sci., 2024)

Interactive attack-defense for generalized person re-identification. - Huafeng Li; Chen Zhang; Zhanxuan Hu; Yafei Zhang; Zhengtao Yu 001 (Neural Networks, 2024)

Interactive Supervision for New Intent Discovery. - Zhanxuan Hu; Yan Xu; Lang He; Feiping Nie 001 (IEEE Signal Process. Lett., 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., 2024)

Mutual-support generalized category discovery. - Yu Duan 001; Zhanxuan Hu; Rong Wang 001; Zhensheng Sun; Feiping Nie 001; Xuelong Li 001 (Inf. Fusion, 2025)

Prototypical classifier with distribution consistency regularization for generalized category discovery: A strong baseline. - Zhanxuan Hu; Yu Duan 001; Yaming Zhang; Rong Wang 001; Feiping Nie 001 (Neural Networks, 2025)

OTFusion: Bridging Vision-only and Vision-Language Models via Optimal Transport for Transductive Zero-Shot Learning. - Qiyu Xu; Wenyang Chen; Zhanxuan Hu; Huafeng Li; Yonghang Tai (CoRR, 2025)

A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention. - Qiyu Xu; Zhanxuan Hu; Yu Duan 001; Ercheng Pei; Yonghang Tai (CoRR, 2025)

Triangle Topology Enhancement for Multi-View Graph Clustering. - Danyang Wu; Penglei Wang; Jitao Lu; Zhanxuan Hu; Hongming Zhang 002; Feiping Nie 001 (IEEE Trans. Knowl. Data Eng., 2025)