Wenjian Huang

Orcid: 0000-0003-2408-8302

Affiliations:
  • Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, Guangdong, China


According to our database1, Wenjian Huang authored at least 25 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
TripleFDS: Triple Feature Disentanglement and Synthesis for Scene Text Editing.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Enhancing Knowledge Transfer in Hyperspectral Image Classification via Cross-scene Knowledge Integration.
CoRR, December, 2025

Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment.
Int. J. Comput. Vis., November, 2025

H-Calibration: Rethinking Classifier Recalibration With Probabilistic Error-Bounded Objective.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

The 1st Solution for CARE Liver Task Challenge 2025: Contrast-Aware Semi-Supervised Segmentation with Domain Generalization and Test-Time Adaptation.
CoRR, October, 2025

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection.
IEEE Trans. Multim., 2025

Addressing Inconsistent Labeling With Cross Image Matching for Scribble-Based Medical Image Segmentation.
IEEE Trans. Image Process., 2025

DS-Det: Single-Query Paradigm and Attention Disentangled Learning for Flexible Object Detection.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CoSSeg-TTA: Contrast-Aware Semi-Supervised Segmentation with Domain Generalization and Test-Time Adaptation.
Proceedings of the Comprehensive Analysis and Computing of Real-World Medical Images, 2025

Open-Det: An Efficient Learning Framework for Open-Ended Detection.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized Constraints.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Unsupervised Part Discovery via Dual Representation Alignment.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Dynamic contrastive learning guided by class confidence and confusion degree for medical image segmentation.
Pattern Recognit., January, 2024

Continual Learning for Segment Anything Model Adaptation.
CoRR, 2024

MLP-DINO: Category Modeling and Query Graphing with Deep MLP for Object Detection.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Robust Face Alignment via Inherent Relation Learning and Uncertainty Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Cross Contrastive Feature Perturbation for Domain Generalization.
CoRR, 2023

Expectation-Maximization Regularised Deep Learning for Tumour Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Cross Contrasting Feature Perturbation for Domain Generalization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Strip-MLP: Efficient Token Interaction for Vision MLP.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Simultaneous vessel segmentation and unenhanced prediction using self-supervised dual-task learning in 3D CTA (SVSUP).
Comput. Methods Programs Biomed., 2022

Density-driven Regularization for Out-of-distribution Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma.
CoRR, 2021


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