Meilu Zhu - RankMe

31 papers A* 2A 1Misc 1Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FL-MedSegBench: A Comprehensive Benchmark for Federated Learning on Medical Image Segmentation. CoRR Meilu Zhu, Zhiwei Wang, Axiu Mao, Yuxing Li, Xiaohan Xing, Yixuan Yuan, Edmund Y. Lam
2026	J	`jnl`	Joint Segmentation and Grading with Iterative Optimization for Multimodal Glaucoma Diagnosis. CoRR Zhiwei Wang, Yuxing Li, Meilu Zhu, Defeng He, Edmund Y. Lam
2026	J	`jnl`	Personalized Federated Learning with Residual Fisher Information for Medical Image Segmentation. CoRR Meilu Zhu, Yuxing Li, Zhiwei Wang, Edmund Y. Lam
2025	J	`jnl`	DEeR: Deviation Eliminating and Noise Regulating for Privacy-Preserving Federated Low-Rank Adaptation. IEEE Trans. Medical Imaging Meilu Zhu, Axiu Mao, Jun Liu, Yixuan Yuan
2025	J	`jnl`	FedBM: Stealing Knowledge from Pre-trained Language Models for Heterogeneous Federated Learning. CoRR Meilu Zhu, Qiushi Yang, Zhifan Gao, Yixuan Yuan, Jun Liu
2025	J	`jnl`	FedBM: Stealing knowledge from pre-trained language models for heterogeneous federated learning. Medical Image Anal. Meilu Zhu, Qiushi Yang, Zhifan Gao, Yixuan Yuan, Jun Liu
2025	J	`jnl`	ParetoSSL: Pareto Semi-Supervised Learning With Bias-Aware Gradient Preferences for Fruit Yield Estimation. IEEE Trans Autom. Sci. Eng. Xiaochun Mai, Meilu Zhu, Yixuan Yuan
2025	J	`jnl`	Progressive Distillation With Optimal Transport for Federated Incomplete Multi-Modal Learning of Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics Qiushi Yang, Meilu Zhu, Yat Ming Peter Woo, Leanne Lai-Hang Chan, Yixuan Yuan
2024	J	`jnl`	CKSP: Cross-species Knowledge Sharing and Preserving for Universal Animal Activity Recognition. CoRR Axiu Mao, Meilu Zhu, Zhaojin Guo, Zheng He, Tomas Norton, Kai Liu
2024	J	`jnl`	CMCNet: Colorization-Aware Mix-Uncertainty-Adaptive Consistency Network for Semi-Supervised Fruit Counting. IEEE Trans Autom. Sci. Eng. Xiaochun Mai, Meilu Zhu, Yixuan Yuan
2024	J	`jnl`	Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading. Medical Image Anal. Xiaohan Xing, Meilu Zhu, Zhen Chen, Yixuan Yuan
2024	J	`jnl`	DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation. CoRR Meilu Zhu, Axiu Mao, Jun Liu, Yixuan Yuan
2024	—	`conf`	Enhancing Clinical Information for Zero-Shot Medical Diagnosis by Prompting Large Language Model. BIBM Qiushi Yang, Meilu Zhu, Yixuan Yuan
2024	J	`jnl`	FedOSS: Federated Open Set Recognition via Inter-Client Discrepancy and Collaboration. IEEE Trans. Medical Imaging Meilu Zhu, Jing Liao, Jun Liu, Yixuan Yuan
2024	J	`jnl`	MGIML: Cancer Grading With Incomplete Radiology-Pathology Data via Memory Learning and Gradient Homogenization. IEEE Trans. Medical Imaging Pengyu Wang, Huaqi Zhang, Meilu Zhu, Xi Jiang, Jing Qin, Yixuan Yuan
2024	—	`conf`	Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing. MICCAI (10) Meilu Zhu, Qiushi Yang, Zhifan Gao, Jun Liu, Yixuan Yuan
2023	J	`jnl`	A teacher-to-student information recovery method toward energy-efficient animal activity recognition at low sampling rates. Comput. Electron. Agric. Axiu Mao, Meilu Zhu, Endai Huang, Xi Yao, Kai Liu
2023	J	`jnl`	FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-Conflicting. IEEE Trans. Medical Imaging Meilu Zhu, Zhen Chen, Yixuan Yuan
2023	A*	`conf`	FedPD: Federated Open Set Recognition with Parameter Disentanglement. ICCV Chen Yang, Meilu Zhu, Yifan Liu, Yixuan Yuan
2022	—	`conf`	Discrepancy and Gradient-Guided Multi-modal Knowledge Distillation for Pathological Glioma Grading. MICCAI (5) Xiaohan Xing, Zhen Chen, Meilu Zhu, Yuenan Hou, Zhifan Gao, Yixuan Yuan
2022	J	`jnl`	Instance importance-Aware graph convolutional network for 3D medical diagnosis. Medical Image Anal. Zhen Chen, Jie Liu, Meilu Zhu, Yat Ming Peter Woo, Yixuan Yuan
2022	J	`jnl`	Personalized Retrogress-Resilient Federated Learning Toward Imbalanced Medical Data. IEEE Trans. Medical Imaging Zhen Chen, Chen Yang, Meilu Zhu, Zhe Peng, Yixuan Yuan
2021	J	`jnl`	DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation With Endoscope Images. IEEE Trans. Medical Imaging Meilu Zhu, Zhen Chen, Yixuan Yuan
2021	J	`jnl`	Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation. IEEE J. Biomed. Health Informatics Chen Yang, Xiaoqing Guo, Meilu Zhu, Bulat Ibragimov, Yixuan Yuan
2021	—	`conf`	Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning. MICCAI (3) Zhen Chen, Meilu Zhu, Chen Yang, Yixuan Yuan
2021	J	`jnl`	Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning. CoRR Zhen Chen, Meilu Zhu, Chen Yang, Yixuan Yuan
2019	J	`jnl`	Branched convolutional neural networks incorporated with Jacobian deep regression for facial landmark detection. Neural Networks Meilu Zhu, Daming Shi, Junbin Gao
2019	A	`conf`	Deep Geometry Embedding Networks for Robust Facial Landmark Detection. ICME Meilu Zhu, Daming Shi
2019	A*	`conf`	Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks. CVPR Meilu Zhu, Daming Shi, Mingjie Zheng, Muhammad Sadiq
2018	—	`conf`	Branched Convolutional Neural Networks for Face Alignment. PCM (3) Meilu Zhu, Daming Shi, Songkui Chen, Junbin Gao
2017	Misc	`conf`	An advanced level set method based on Bregman divergence for inhomogeneous image segmentation. ICMLC Daming Shi, Meilu Zhu, Yongqiang Zhang, Feng Tian