Yinda Chen

Orcid: 0000-0002-1990-4224

According to our database1, Yinda Chen authored at least 14 papers between 2023 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Unsupervised Domain Adaptation for EM Image Denoising With Invertible Networks.
IEEE Trans. Medical Imaging, January, 2025

2024
MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert.
CoRR, 2024

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
CoRR, 2024

UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation.
CoRR, 2024

TokenUnify: Scalable Autoregressive Visual Pre-training with Mixture Token Prediction.
CoRR, 2024

A Conversational Application for Insomnia Treatment: Leveraging the ChatGLM-LoRA Model for Cognitive Behavioral Therapy.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024

Joint EM Image Denoising and Segmentation with Instance-Aware Interaction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Learning Multiscale Consistency for Self-Supervised Electron Microscopy Instance Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Cross-dimension Affinity Distillation for 3D EM Neuron Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training.
CoRR, 2023

Learning Multiscale Consistency for Self-supervised Electron Microscopy Instance Segmentation.
CoRR, 2023

Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation.
CoRR, 2023

Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023


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