Zhen Chen

Orcid: 0000-0003-0255-6435

Affiliations:
  • City University of Hong Kong (CityU), Hong Kong
  • University of Science and Technology of China (USTC), Hefei, China


According to our database1, Zhen Chen authored at least 45 papers between 2018 and 2025.

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Timeline

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Bibliography

2025
Relation-Guided Versatile Regularization for Federated Semi-Supervised Learning.
Int. J. Comput. Vis., June, 2025

Unified Multi-Modal Diagnostic Framework With Reconstruction Pre-Training and Heterogeneity-Combat Tuning.
IEEE J. Biomed. Health Informatics, May, 2025

Exploring Contrastive Pre-Training for Domain Connections in Medical Image Segmentation.
IEEE Trans. Medical Imaging, April, 2025

HRMedSeg: Unlocking High-resolution Medical Image segmentation via Memory-efficient Attention Modeling.
CoRR, April, 2025

MAP: Evaluation and Multi-Agent Enhancement of Large Language Models for Inpatient Pathways.
CoRR, March, 2025

Polyp-Gen: Realistic and Diverse Polyp Image Generation for Endoscopic Dataset Expansion.
CoRR, January, 2025

UN-SAM: Domain-adaptive self-prompt segmentation for universal nuclei images.
Medical Image Anal., 2025

NuSegDG: Integration of heterogeneous space and Gaussian kernel for domain-generalized nuclei segmentation.
Knowl. Based Syst., 2025

Long-tailed medical diagnosis with relation-aware representation learning and iterative classifier calibration.
Comput. Biol. Medicine, 2025

U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading.
Medical Image Anal., January, 2024

Mask-aware transformer with structure invariant loss for CT translation.
Medical Image Anal., 2024

ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image Segmentation.
CoRR, 2024

Endora: Video Generation Models as Endoscopy Simulators.
CoRR, 2024

UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images.
CoRR, 2024

Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MOST: Multi-formation Soft Masking for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

[inline-graphic not available: see fulltext]Endora: Video Generation Models as Endoscopy Simulators.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Medical federated learning with joint graph purification for noisy label learning.
Medical Image Anal., December, 2023

Generalized Gradient Flow Based Saliency for Pruning Deep Convolutional Neural Networks.
Int. J. Comput. Vis., December, 2023

Gradient modulated contrastive distillation of low-rank multi-modal knowledge for disease diagnosis.
Medical Image Anal., August, 2023

FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-Conflicting.
IEEE Trans. Medical Imaging, June, 2023

Hierarchical Bias Mitigation for Semi-Supervised Medical Image Classification.
IEEE Trans. Medical Imaging, 2023

Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Combat Long-Tails in Medical Classification with Relation-Aware Consistency and Virtual Features Compensation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
D<sup>2</sup>-Net: Dual Disentanglement Network for Brain Tumor Segmentation With Missing Modalities.
IEEE Trans. Medical Imaging, 2022

Personalized Retrogress-Resilient Federated Learning Toward Imbalanced Medical Data.
IEEE Trans. Medical Imaging, 2022

Source free domain adaptation for medical image segmentation with fourier style mining.
Medical Image Anal., 2022

Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation.
Medical Image Anal., 2022

Instance importance-Aware graph convolutional network for 3D medical diagnosis.
Medical Image Anal., 2022

Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Discrepancy and Gradient-Guided Multi-modal Knowledge Distillation for Pathological Glioma Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation With Endoscope Images.
IEEE Trans. Medical Imaging, 2021

Super-Resolution Enhanced Medical Image Diagnosis With Sample Affinity Interaction.
IEEE Trans. Medical Imaging, 2021

HTD: Heterogeneous Task Decoupling for Two-Stage Object Detection.
IEEE Trans. Image Process., 2021

Exploring Gradient Flow Based Saliency for DNN Model Compression.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Deep Neural Network Acceleration Based on Low-Rank Approximated Channel Pruning.
IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020

Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Importance-Aware Filter Selection for Convolutional Neural Network Acceleration.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Exploiting Weight-Level Sparsity in Channel Pruning with Low-Rank Approximation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018
Decouple and Stretch: A Boost to Channel Pruning.
Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018


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