Chenyu You

Orcid: 0000-0001-8365-7822

According to our database1, Chenyu You authored at least 76 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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
Medical image registration via neural fields.
Medical Image Anal., 2024

Buckle Up: Robustifying LLMs at Every Customization Stage via Data Curation.
CoRR, 2024

Multi-Relational Structural Entropy.
CoRR, 2024

Cross-Modal Conditioned Reconstruction for Language-guided Medical Image Segmentation.
CoRR, 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

Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration.
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
A medical multimodal large language model for future pandemics.
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

LLMRec: Benchmarking Large Language Models on Recommendation Task.
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

Bridge the Gap between Language models and Tabular Understanding.
CoRR, 2023

Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective.
CoRR, 2023

Representation Recovering for Self-Supervised Pre-training on Medical Images.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Diffeomorphic Image Registration with Neural Velocity Field.
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

Fast Reconstruction for Deep Learning PET Head Motion Correction.
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

Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Cross-Attention for Improved Motion Correction in Brain PET.
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

Attention Calibration for Transformer-based Sequential Recommendation.
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

Large Language Models Are Partially Primed in Pronoun Interpretation.
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

Aligning Source Visual and Target Language Domains for Unpaired Video Captioning.
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

MIRNF: Medical Image Registration via Neural Fields.
CoRR, 2022

Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation.
CoRR, 2022

Class-Aware Generative Adversarial Transformers for Medical Image Segmentation.
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

Class-Aware Adversarial Transformers for Medical Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

End-to-end Spoken Conversational Question Answering: Task, Dataset and Model.
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

Graph-in-Graph Network for Automatic Gene Ontology Description Generation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

KerGNNs: Interpretable Graph Neural Networks with Graph Kernels.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Good Students Play Big Lottery Better.
CoRR, 2021

Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation.
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

Semantic Transportation Prototypical Network for Few-Shot Intent Detection.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Self-Supervised Dialogue Learning for Spoken Conversational Question Answering.
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

MRD-Net: Multi-Modal Residual Knowledge Distillation for Spoken Question Answering.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Undistillable: Making A Nasty Teacher That CANNOT teach students.
Proceedings of the 9th International Conference on Learning Representations, 2021

Knowledge Distillation for Improved Accuracy in Spoken Question Answering.
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

NuSeT: A deep learning tool for reliably separating and analyzing crowded cells.
PLoS Comput. Biol., 2020

Towards Data Distillation for End-to-end Spoken Conversational Question Answering.
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
Low-Dose CT via Deep CNN with Skip Connection and Network in Network.
CoRR, 2018

CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE).
CoRR, 2018

Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising.
CoRR, 2018

Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising.
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


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