Chenyu You
Orcid: 0000-0001-8365-7822
According to our database1,
Chenyu You
authored at least 81 papers
between 2016 and 2025.
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Bibliography
2025
A Flow-based Truncated Denoising Diffusion Model for super-resolution Magnetic Resonance Spectroscopic Imaging.
Medical Image Anal., 2025
2024
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
CoRR, 2024
CoRR, 2024
Cross-Modal Conditioned Reconstruction for Language-guided Medical Image Segmentation.
CoRR, 2024
Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week.
Comput. Medical Imaging Graph., 2024
AFTer-SAM: Adapting SAM with Axial Fusion Transformer for Medical Imaging Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Hybrid Neural Diffeomorphic Flow for Shape Representation and Generation via Triplane.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP.
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
npj Digit. Medicine, 2023
Heteroscedastic Uncertainty Estimation for Probabilistic Unsupervised Registration of Noisy Medical Images.
CoRR, 2023
Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model.
CoRR, 2023
Hybrid-CSR: Coupling Explicit and Implicit Shape Representation for Cortical Surface Reconstruction.
CoRR, 2023
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.
CoRR, 2023
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Localized Region Contrast for Enhancing Self-supervised Learning in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-Aware Contrastive Distillation.
Proceedings of the Information Processing in Medical Imaging, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Unsupervised Domain Adaptation by Cross-Prototype Contrastive Learning for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Reliable adaptive edge-cloud collaborative DNN inference acceleration scheme combining computing and communication resources in optical networks.
JOCN, 2022
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels.
CoRR, 2022
Exploring and Exploiting Multi-Granularity Representations for Machine Reading Comprehension.
CoRR, 2022
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation.
CoRR, 2022
CoRR, 2022
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Learning Correspondences of Cardiac Motion from Images Using Biomechanics-Informed Modeling.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022
Flow-Based Visual Quality Enhancer for Super-Resolution Magnetic Resonance Spectroscopic Imaging.
Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022
Multi-scale Super-Resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Contextualized Attention-Based Knowledge Transfer for Spoken Conversational Question Answering.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
sBiLSAN: Stacked Bidirectional Self-attention LSTM Network for Anomaly Detection and Diagnosis from System Logs.
Proceedings of the Intelligent Systems and Applications, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Adaptive Bi-Directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension.
Proceedings of the IEEE International Conference on Acoustics, 2021
Self-supervised Contrastive Cross-Modality Representation Learning for Spoken Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
2020
CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE).
IEEE Trans. Medical Imaging, 2020
PLoS Comput. Biol., 2020
CoRR, 2020
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-domain Liver Segmentation.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
Deep learning based high-resolution reconstruction of trabecular bone microstructures from low-resolution CT scans using GAN-CIRCLE.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
2018
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE).
CoRR, 2018
CoRR, 2018
IEEE Access, 2018
2016
Identification of Power Line Outages Based on PMU Measurements and Sparse Overcomplete Representation.
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016