Hongyi Wang

Orcid: 0000-0002-2336-1496

Affiliations:
  • Zhejiang University, College of Computer Science and Technology, Hangzhou, China


According to our database1, Hongyi Wang authored at least 21 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
S<sup>2</sup>Match: Revisiting Weak-to-Strong Consistency From a Semantic Similarity Perspective for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, June, 2026

A Breast Vision Pathology Foundation Model for Real-world Clinical Utility.
CoRR, May, 2026

Taming the Phantom: Token-Asymmetric Filtering for Hallucination Mitigation in Large Vision-Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Accurate and Scalable Multimodal Pathology Retrieval via Attentive Vision-Language Alignment.
CoRR, October, 2025

Multimodal Sentiment Analysis With Mutual Information-Based Disentangled Representation Learning.
IEEE Trans. Affect. Comput., 2025

Region-Aware Anchoring Mechanism for Efficient Referring Visual Grounding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Triple-Prompt Controllable Diffusion for Universal Data Augmentation in Medical Image Segmentation.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher.
IEEE Trans. Medical Imaging, November, 2024

SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation.
CoRR, 2024

M2ORT: Many-To-One Regression Transformer for Spatial Transcriptomics Prediction from Histopathology Images.
CoRR, 2024

2023
Adaptive Decomposition and Shared Weight Volumetric Transformer Blocks for Efficient Patch-Free 3D Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, October, 2023

HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

MCKD: Mutually Collaborative Knowledge Distillation For Federated Domain Adaptation And Generalization.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance.
CoRR, 2022

CubeMLP: A MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation.
CoRR, 2022

CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Mixed Transformer U-Net for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021


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