Meilu Zhu

According to our database, Meilu Zhu authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Xiaochun Mai, Meilu Zhu, Yixuan Yuan

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

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

Pengyu Wang, Huaqi Zhang, Meilu Zhu, Xi Jiang, Jing Qin, Yixuan Yuan

IEEE Trans. Medical Imaging, June, 2024

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

Meilu Zhu, Jing Liao, Jun Liu, Yixuan Yuan

IEEE Trans. Medical Imaging, January, 2024

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

Xiaohan Xing, Meilu Zhu, Zhen Chen, Yixuan Yuan

Medical Image Anal., January, 2024

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

Axiu Mao, Meilu Zhu, Zhaojin Guo, Zheng He, Tomas Norton, Kai Liu

CoRR, 2024

DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation.

Meilu Zhu, Axiu Mao, Jun Liu, Yixuan Yuan

CoRR, 2024

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

Meilu Zhu, Qiushi Yang, Zhifan Gao, Jun Liu, Yixuan Yuan

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

2023

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

Axiu Mao, Meilu Zhu, Endai Huang, Xi Yao, Kai Liu

Comput. Electron. Agric., October, 2023

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

Meilu Zhu, Zhen Chen, Yixuan Yuan

IEEE Trans. Medical Imaging, June, 2023

FedPD: Federated Open Set Recognition with Parameter Disentanglement.

Chen Yang, Meilu Zhu, Yifan Liu, Yixuan Yuan

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

2022

Personalized Retrogress-Resilient Federated Learning Toward Imbalanced Medical Data.

Zhen Chen, Chen Yang, Meilu Zhu, Zhe Peng, Yixuan Yuan

IEEE Trans. Medical Imaging, 2022

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

Zhen Chen, Jie Liu, Meilu Zhu, Yat Ming Peter Woo, Yixuan Yuan

Medical Image Anal., 2022

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

Xiaohan Xing, Zhen Chen, Meilu Zhu, Yuenan Hou, Zhifan Gao, Yixuan Yuan

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.

Meilu Zhu, Zhen Chen, Yixuan Yuan

IEEE Trans. Medical Imaging, 2021

Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation.

Chen Yang, Xiaoqing Guo, Meilu Zhu, Bulat Ibragimov, Yixuan Yuan

IEEE J. Biomed. Health Informatics, 2021

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

Zhen Chen, Meilu Zhu, Chen Yang, Yixuan Yuan

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.

Meilu Zhu, Daming Shi, Junbin Gao

Neural Networks, 2019

Deep Geometry Embedding Networks for Robust Facial Landmark Detection.

Meilu Zhu, Daming Shi

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

Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks.

Meilu Zhu, Daming Shi, Mingjie Zheng, Muhammad Sadiq

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

2018

Branched Convolutional Neural Networks for Face Alignment.

Meilu Zhu, Daming Shi, Songkui Chen, Junbin Gao

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.

Daming Shi, Meilu Zhu, Yongqiang Zhang, Feng Tian

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