Shu Yang

Orcid: 0000-0002-1761-9286

Affiliations:
  • Hong Kong University of Science and Technology, Hong Kong
  • Dalian University of Technology, China (former)


According to our database1, Shu Yang authored at least 15 papers between 2021 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
SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition.
IEEE Trans. Medical Imaging, March, 2026

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge.
Medical Image Anal., 2026

2025
MambaMIL+: Modeling Long-Term Contextual Patterns for Gigapixel Whole Slide Image.
CoRR, December, 2025

GenAR: Next-Scale Autoregressive Generation for Spatial Gene Expression Prediction.
CoRR, October, 2025

A Versatile Foundation Model for AI-enabled Mammogram Interpretation.
CoRR, September, 2025

Real-Time Semantic Segmentation via a Densely Aggregated Bilateral Network.
IEEE Trans. Neural Networks Learn. Syst., January, 2025

ConceptCLIP: Towards Trustworthy Medical AI via Concept-Enhanced Contrastive Langauge-Image Pre-training.
CoRR, January, 2025

Masked Diffusion Models for Unsupervised Anomaly Detection in Brain Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
Deformable Dynamic Sampling and Dynamic Predictable Mask Mining for Image Inpainting.
IEEE Trans. Neural Networks Learn. Syst., December, 2024

A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model.
CoRR, 2024

A Survey on Vision Mamba: Models, Applications and Challenges.
CoRR, 2024

MedDr: Diagnosis-Guided Bootstrapping for Large-Scale Medical Vision-Language Learning.
CoRR, 2024

MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2021
Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021


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