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Meilu Zhu

Orcid: 0000-0002-5563-7282

According to our database¹, Meilu Zhu authored at least 30 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

FedPD++: Enhanced Federated Open-Set Recognition with Parameter Disentanglement.

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Int. J. Comput. Vis., June, 2026

Toward Optimal Sampling Rate Selection and Unbiased Classification for Precise Animal Activity Recognition.

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CoRR, April, 2026

FL-MedSegBench: A Comprehensive Benchmark for Federated Learning on Medical Image Segmentation.

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CoRR, March, 2026

Personalized Federated Learning with Residual Fisher Information for Medical Image Segmentation.

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Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Joint Segmentation and Grading with Iterative Optimization for Multimodal Glaucoma Diagnosis.

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Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Progressive Distillation With Optimal Transport for Federated Incomplete Multi-Modal Learning of Brain Tumor Segmentation.

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Yat Ming Peter Woo

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Leanne Lai-Hang Chan

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IEEE J. Biomed. Health Informatics, May, 2025

DEeR: Deviation Eliminating and Noise Regulating for Privacy-Preserving Federated Low-Rank Adaptation.

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IEEE Trans. Medical Imaging, April, 2025

ParetoSSL: Pareto Semi-Supervised Learning With Bias-Aware Gradient Preferences for Fruit Yield Estimation.

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IEEE Trans Autom. Sci. Eng., 2025

FedBM: Stealing knowledge from pre-trained language models for heterogeneous federated learning.

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Medical Image Anal., 2025

2024

CMCNet: Colorization-Aware Mix-Uncertainty-Adaptive Consistency Network for Semi-Supervised Fruit Counting.

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IEEE Trans Autom. Sci. Eng., October, 2024

MGIML: Cancer Grading With Incomplete Radiology-Pathology Data via Memory Learning and Gradient Homogenization.

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IEEE Trans. Medical Imaging, June, 2024

FedOSS: Federated Open Set Recognition via Inter-Client Discrepancy and Collaboration.

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IEEE Trans. Medical Imaging, January, 2024

Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading.

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Medical Image Anal., January, 2024

CKSP: Cross-species Knowledge Sharing and Preserving for Universal Animal Activity Recognition.

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CoRR, 2024

Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Enhancing Clinical Information for Zero-Shot Medical Diagnosis by Prompting Large Language Model.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

A teacher-to-student information recovery method toward energy-efficient animal activity recognition at low sampling rates.

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Comput. Electron. Agric., October, 2023

FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-Conflicting.

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IEEE Trans. Medical Imaging, June, 2023

FedPD: Federated Open Set Recognition with Parameter Disentanglement.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Personalized Retrogress-Resilient Federated Learning Toward Imbalanced Medical Data.

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IEEE Trans. Medical Imaging, 2022

Instance importance-Aware graph convolutional network for 3D medical diagnosis.

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Yat Ming Peter Woo

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Medical Image Anal., 2022

Discrepancy and Gradient-Guided Multi-modal Knowledge Distillation for Pathological Glioma Grading.

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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.

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IEEE Trans. Medical Imaging, 2021

Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation.

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Bulat Ibragimov

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IEEE J. Biomed. Health Informatics, 2021

Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2019

Branched convolutional neural networks incorporated with Jacobian deep regression for facial landmark detection.

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Neural Networks, 2019

Deep Geometry Embedding Networks for Robust Facial Landmark Detection.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks.

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Branched Convolutional Neural Networks for Face Alignment.

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Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

2017

An advanced level set method based on Bregman divergence for inhomogeneous image segmentation.

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Yongqiang Zhang

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Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

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