Yanzhou Su
Orcid: 0000-0002-3377-469X
According to our database1,
Yanzhou Su
authored at least 33 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
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
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
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
CoRR, 2023
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation.
CoRR, 2023
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
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
CoRR, 2022
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
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
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