Wentao Zhang

Orcid: 0000-0002-7866-6377

Affiliations:
  • Sun Yat-sen University, Guangzhou, China


According to our database1, Wentao Zhang authored at least 16 papers between 2023 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
Dual-modality adaptation in vision-language models for continual learning.
Neural Networks, 2026

Decoupling Continual Semantic Segmentation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Representation Calibration and Uncertainty Guidance for Class-Incremental Learning based on Vision Language Model.
CoRR, December, 2025

DAT: Dual-Branch Adapter-Tuning for Few-Shot Recognition.
IEEE Trans. Circuits Syst. Video Technol., July, 2025

Visual Class Incremental Learning With Textual Priors Guidance Based on an Adapted Vision-Language Model.
IEEE Trans. Multim., 2025

2024
Continual Learning of Image Classes With Language Guidance From a Vision-Language Model.
IEEE Trans. Circuits Syst. Video Technol., December, 2024

PAMI: Partition Input and Aggregate Outputs for Model Interpretation.
Pattern Recognit., January, 2024

Enhancing Task Identification Through Pseudo-OOD Features for Class-Incremental Learning.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Expand and Merge: Continual Learning with the Guidance of Fixed Text Embedding Space.
Proceedings of the International Joint Conference on Neural Networks, 2024

Region Attention Fine-tuning with CLIP for Few-shot Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

CtF: Mitigating Visual Confusion in Continual Learning Through a Coarse-To-Fine Screening.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

TexCIL: Text-Guided Continual Learning of Disease with Vision-Language Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Feature Adaptation with CLIP for Few-shot Classification.
Proceedings of the ACM Multimedia Asia 2023, 2023

Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Local Adversarial Attacks for Understanding Model Decisions.
Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications, 2023


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