Shuai Wang

Orcid: 0000-0001-8897-9476

Affiliations:
  • School of Medicine, Tsinghua University, Beijing, China


According to our database1, Shuai Wang authored at least 20 papers between 2022 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 csauthors.net:

Bibliography

2026
Multi-Contrast MRI Super-Resolution in Brain Tumors: Arbitrary-Scale Implicit Sampling and Unsupervised Fine-Tuning.
IEEE Trans. Medical Imaging, April, 2026

2025
LAST: LeArning to Think in Space and Time for Generalist Vision-Language Models.
CoRR, November, 2025

Multi-contrast image super-resolution with deformable attention and neighborhood-based feature aggregation (DANCE): Applications in anatomic and metabolic MRI.
Medical Image Anal., 2025

Symbolic learning enables self-evolving agents.
AI Open, 2025

2024
COMET: Cross-Space Optimization-Based Mutual Learning Network for Super-Resolution of CEST-MRI.
IEEE J. Biomed. Health Informatics, January, 2024

Weaver: Foundation Models for Creative Writing.
CoRR, 2024

Generalized Robust Fundus Photography-Based Vision Loss Estimation for High Myopia.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

DS-COFFEE-Net: Dual-Stage Correspondence-Based Feature Fusion Edge Enhanced Network for Super-Resolution of CEST-MR Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Agents: An Open-source Framework for Autonomous Language Agents.
CoRR, 2023

Compound Attention and Neighbor Matching Network for Multi-contrast MRI Super-resolution.
CoRR, 2023

Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation.
CoRR, 2023

Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation.
CoRR, 2023

DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models.
CoRR, 2023

Bootstrap The Original Latent: Learning a Private Model from a Black-box Model.
CoRR, 2023

VF-HM: Vision Loss Estimation Using Fundus Photograph for High Myopia.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Teaching What You Should Teach: A Data-Based Distillation Method.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Prototype Knowledge Distillation for Medical Segmentation with Missing Modality.
Proceedings of the IEEE International Conference on Acoustics, 2023

Feature Alignment and Uniformity for Test Time Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Undersampled Multi-Contrast MRI Reconstruction Based on Double-Domain Generative Adversarial Network.
IEEE J. Biomed. Health Informatics, 2022

Learning What You Should Learn.
CoRR, 2022


  Loading...