We stand with Ukraine

We stand with Ukraine

Zhanxuan Hu

Orcid: 0000-0002-4874-4768

According to our database¹, Zhanxuan Hu authored at least 48 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

Molecular graph-based invariant representation learning with environmental inference and subgraph generation for out-of-distribution generalization.

[DOI]

,

,

,

,

,

,

,

,

J. Cheminformatics, December, 2026

[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation.

[DOI]

,

,

,

,

,

CoRR, May, 2026

ConInfer: Context-Aware Inference for Training-Free Open-Vocabulary Remote Sensing Segmentation.

[DOI]

,

,

,

,

CoRR, March, 2026

H-RSSG: High-Fidelity Robotic Surgical Scene Generation With Implicit Deformable Neural Radiance Field.

[DOI]

,

,

,

,

IEEE Trans Autom. Sci. Eng., 2026

Unsupervised fine-tuning of vision-language models by fusing classifier tuning and visual prompt tuning.

[DOI]

,

,

,

Neural Networks, 2026

HRTNet: Holistic registration theory-inspired network for camouflaged object detection.

[DOI]

,

,

,

,

,

,

Neurocomputing, 2026

A hybrid model for short-term GHI forecasting based on Crested Porcupine Optimizer optimized VMD combined with MSGNet.

[DOI]

,

,

,

,

,

Expert Syst. Appl., 2026

Learning Intrinsic Hierarchy for Generalized Category Discovery.

[DOI]

,

,

,

,

,

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Hyperbolic Hierarchical Representation Learning for Generalized Category Discovery.

[DOI]

,

,

,

,

,

IEEE Trans. Neural Networks Learn. Syst., December, 2025

Triangle Topology Enhancement for Multi-View Graph Clustering.

[DOI]

,

,

,

,

,

IEEE Trans. Knowl. Data Eng., July, 2025

OTFusion: Bridging Vision-only and Vision-Language Models via Optimal Transport for Transductive Zero-Shot Learning.

[DOI]

,

,

,

,

CoRR, June, 2025

Prototypical classifier with distribution consistency regularization for generalized category discovery: A strong baseline.

[DOI]

,

,

,

,

Neural Networks, 2025

Classifier ensemble based source-free domain adaptation for time series classification.

[DOI]

,

,

,

,

,

Knowl. Based Syst., 2025

Mutual-support generalized category discovery.

[DOI]

,

,

,

,

,

Inf. Fusion, 2025

A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention.

[DOI]

,

,

,

,

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

An ensemble learning-enhanced multitask learning method for continuous affect recognition from facial images.

[DOI]

,

,

,

,

Abel Díaz Berenguer

Expert Syst. Appl., February, 2024

Interactive Supervision for New Intent Discovery.

[DOI]

,

,

,

IEEE Signal Process. Lett., 2024

Interactive attack-defense for generalized person re-identification.

[DOI]

,

,

,

,

Neural Networks, 2024

Neural collapse inspired semi-supervised learning with fixed classifier.

[DOI]

,

,

,

,

Inf. Sci., 2024

Diverse semantic information fusion for Unsupervised Person Re-Identification.

[DOI]

,

,

,

Inf. Fusion, 2024

MAMCL: Multi-attributes Masking Contrastive Learning for explainable seismic facies analysis.

[DOI]

,

,

,

,

Comput. Geosci., 2024

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

[DOI]

,

,

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

2023

Mutual-Taught Deep Clustering.

[DOI]

,

,

,

,

Knowl. Based Syst., December, 2023

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

[DOI]

,

,

,

,

,

CAAI Trans. Intell. Technol., December, 2023

Discriminative Projected Clustering via Unsupervised LDA.

[DOI]

,

,

,

,

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

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

[DOI]

,

,

,

,

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

Iteratively Re-Weighted Method for Sparsity-Inducing Norms.

[DOI]

,

,

,

,

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

Unsupervised Feature Selection With Weighted and Projected Adaptive Neighbors.

[DOI]

,

,

,

,

IEEE Trans. Cybern., 2023

2022

Robust Subspace Clustering With Low-Rank Structure Constraint.

[DOI]

,

,

,

IEEE Trans. Knowl. Data Eng., 2022

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

[DOI]

,

,

IEEE Trans. Geosci. Remote. Sens., 2022

Robust Matrix Completion With Column Outliers.

[DOI]

,

,

,

,

IEEE Trans. Cybern., 2022

Audio-visual collaborative representation learning for Dynamic Saliency Prediction.

[DOI]

,

,

,

,

Knowl. Based Syst., 2022

Improved deep metric learning with local neighborhood component analysis.

[DOI]

,

,

,

Inf. Sci., 2022

Multi-view clustering based on generalized low rank approximation.

[DOI]

,

,

,

,

Neurocomputing, 2022

2021

Low Rank Regularization: A review.

[DOI]

,

,

,

Neural Networks, 2021

Matrix completion with column outliers and sparse noise.

[DOI]

,

,

,

,

Inf. Sci., 2021

Generalization bottleneck in deep metric learning.

[DOI]

,

,

,

Inf. Sci., 2021

Learning to hash based on angularly discriminative embedding.

[DOI]

,

,

,

,

Inf. Sci., 2021

Multi-view clustering with interactive mechanism.

[DOI]

,

,

,

,

,

Neurocomputing, 2021

2020

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

[DOI]

,

,

,

Inf. Fusion, 2020

Multi-view spectral clustering via sparse graph learning.

[DOI]

,

,

,

,

,

Neurocomputing, 2020

2019

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

[DOI]

,

,

IEEE Trans. Image Process., 2019

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

[DOI]

,

,

,

,

,

CoRR, 2019

2018

Matrix completion and vector completion via robust subspace learning.

[DOI]

,

,

Neurocomputing, 2018

A Comprehensive Survey for Low Rank Regularization.

[DOI]

,

,

,

CoRR, 2018

An investigation for loss functions widely used in machine learning.

[DOI]

,

,

Commun. Inf. Syst., 2018

Calibrated Multi-Task Learning.

[DOI]

,

,

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

Robust Low Rank Approxiamtion via Inliers Selection.

[DOI]

,

,

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

Loading...