Yi Zhang
Orcid: 0000-0003-0843-7170Affiliations:
- Chongqing University, Chongqing, China
According to our database1,
Yi Zhang
authored at least 13 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Learning the Difference of Few-Shot Food Data Using Multivariate Knowledge-Guided Variational Autoencoder.
IEEE J. Biomed. Health Informatics, July, 2025
Learning Feature Exploration and Selection With Handcrafted Features for Few-Shot Learning.
IEEE Trans. Syst. Man Cybern. Syst., April, 2025
Image Vis. Comput., 2025
Learning complementary visual information for few-shot food recognition by Regional Erasure and Reactivation.
Expert Syst. Appl., 2025
2024
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Anchor-based discriminative dual distribution calibration for transductive zero-shot learning.
Image Vis. Comput., September, 2023
ASDFL: An adaptive super-pixel discriminative feature-selective learning for vehicle matching.
Expert Syst. J. Knowl. Eng., 2023
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Adversarial Bidirectional Feature Generation for Generalized Zero-Shot Learning Under Unreliable Semantics.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022
Dual Space Multiple Instance Representative Learning for Medical Image Classification.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning.
CoRR, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021