Yanzhou Su

Orcid: 0000-0002-3377-469X

According to our database1, Yanzhou Su authored at least 33 papers between 2019 and 2024.

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Bibliography

2024
Global Adaptive Second-Order Transformer for Remote Sensing Image Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2024

ORBNet: Original Reinforcement Bilateral Network for High-Resolution Remote Sensing Image Semantic Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Survey for Large Language Models in Biomedicine.
CoRR, 2024

TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering.
CoRR, 2024

GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI.
CoRR, 2024

A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding.
CoRR, 2024

2023
FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images.
Biomed. Signal Process. Control., May, 2023

Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance.
Neurocomputing, 2023

SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
CoRR, 2023

Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies.
CoRR, 2023

SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks.
CoRR, 2023

SAM-Med3D.
CoRR, 2023

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation.
CoRR, 2023

SAM-Med2D.
CoRR, 2023

STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.
CoRR, 2023

Revisiting Feature Propagation and Aggregation in Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

An Accurate Polyp Segmentation Framework via Feature Secondary Fusion.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Go To The Right: A Real-Time and Accurate Polyp Segmentation Model for Practical Use.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Calibrated Focal Loss for Semantic Labeling of High-Resolution Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Semantic Segmentation of Very-High-Resolution Remote Sensing Images via Deep Multi-Feature Learning.
Remote. Sens., 2022

Multi-Branch Adaptive Hard Region Mining Network for Urban Scene Parsing of High-Resolution Remote-Sensing Images.
Remote. Sens., 2022

Semantic Segmentation for High-Resolution Remote-Sensing Images via Dynamic Graph Context Reasoning.
IEEE Geosci. Remote. Sens. Lett., 2022

Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans.
CoRR, 2022

FAPN: Feature Augmented Pyramid Network for polyp segmentation.
Biomed. Signal Process. Control., 2022

How to design a deep neural network for retinal vessel segmentation: an empirical study.
Biomed. Signal Process. Control., 2022

2021
TTPP: Temporal Transformer with Progressive Prediction for efficient action anticipation.
Neurocomputing, 2021

IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition.
CoRR, 2021

Semantic Segmentation for High-Resolution Remote Sensing Images by Light-Weight Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification.
Neurocomputing, 2020

2019
A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification.
CoRR, 2019

The General Pair-based Weighting Loss for Deep Metric Learning.
CoRR, 2019

A Discriminatively Learned CNN Embedding For Remote Sensing Image Scene Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Semantic Segmentation of High Resolution Remote Sensing Image Based on Batch-Attention Mechanism.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


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