An advanced level set method based on Bregman divergence for inhomogeneous image segmentation. - Daming Shi 001; Meilu Zhu; Yongqiang Zhang 003; Feng Tian 006 (ICMLC, 2017)

Branched Convolutional Neural Networks for Face Alignment. - Meilu Zhu; Daming Shi 001; Songkui Chen; Junbin Gao (PCM (3), 2018)

Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks. - Meilu Zhu; Daming Shi 001; Mingjie Zheng 002; Muhammad Sadiq (CVPR, 2019)

Deep Geometry Embedding Networks for Robust Facial Landmark Detection. - Meilu Zhu; Daming Shi 001 (ICME, 2019)

Branched convolutional neural networks incorporated with Jacobian deep regression for facial landmark detection. - Meilu Zhu; Daming Shi 001; Junbin Gao (Neural Networks, 2019)

Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning. - Zhen Chen 013; Meilu Zhu; Chen Yang 026; Yixuan Yuan (MICCAI (3), 2021)

Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation. - Chen Yang 026; Xiaoqing Guo; Meilu Zhu; Bulat Ibragimov; Yixuan Yuan (IEEE J. Biomed. Health Informatics, 2021)

DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation With Endoscope Images. - Meilu Zhu; Zhen Chen 013; Yixuan Yuan (IEEE Trans. Medical Imaging, 2021)

Discrepancy and Gradient-Guided Multi-modal Knowledge Distillation for Pathological Glioma Grading. - Xiaohan Xing; Zhen Chen 013; Meilu Zhu; Yuenan Hou; Zhifan Gao; Yixuan Yuan (MICCAI (5), 2022)

Instance importance-Aware graph convolutional network for 3D medical diagnosis. - Zhen Chen 013; Jie Liu 044; Meilu Zhu; Yat Ming Peter Woo; Yixuan Yuan (Medical Image Anal., 2022)

Personalized Retrogress-Resilient Federated Learning Toward Imbalanced Medical Data. - Zhen Chen 013; Chen Yang 026; Meilu Zhu; Zhe Peng; Yixuan Yuan (IEEE Trans. Medical Imaging, 2022)

FedPD: Federated Open Set Recognition with Parameter Disentanglement. - Chen Yang 026; Meilu Zhu; Yifan Liu 010; Yixuan Yuan (ICCV, 2023)

FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-Conflicting. - Meilu Zhu; Zhen Chen 013; Yixuan Yuan (IEEE Trans. Medical Imaging, 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 008 (Comput. Electron. Agric., 2023)

Enhancing Clinical Information for Zero-Shot Medical Diagnosis by Prompting Large Language Model. - Qiushi Yang; Meilu Zhu; Yixuan Yuan (BIBM, 2024)

Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing. - Meilu Zhu; Qiushi Yang; Zhifan Gao; Jun Liu 007; Yixuan Yuan (MICCAI (10), 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 008 (CoRR, 2024)

Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading. - Xiaohan Xing; Meilu Zhu; Zhen Chen 013; Yixuan Yuan (Medical Image Anal., 2024)

FedOSS: Federated Open Set Recognition via Inter-Client Discrepancy and Collaboration. - Meilu Zhu; Jing Liao 001; Jun Liu 007; Yixuan Yuan (IEEE Trans. Medical Imaging, 2024)

MGIML: Cancer Grading With Incomplete Radiology-Pathology Data via Memory Learning and Gradient Homogenization. - Pengyu Wang 005; Huaqi Zhang; Meilu Zhu; Xi Jiang 001; Jing Qin 001; Yixuan Yuan (IEEE Trans. Medical Imaging, 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., 2024)

FedBM: Stealing knowledge from pre-trained language models for heterogeneous federated learning. - Meilu Zhu; Qiushi Yang; Zhifan Gao; Yixuan Yuan; Jun Liu 007 (Medical Image Anal., 2025)

ParetoSSL: Pareto Semi-Supervised Learning With Bias-Aware Gradient Preferences for Fruit Yield Estimation. - Xiaochun Mai; Meilu Zhu; Yixuan Yuan (IEEE Trans Autom. Sci. Eng., 2025)

DEeR: Deviation Eliminating and Noise Regulating for Privacy-Preserving Federated Low-Rank Adaptation. - Meilu Zhu; Axiu Mao; Jun Liu 007; Yixuan Yuan (IEEE Trans. Medical Imaging, 2025)

Progressive Distillation With Optimal Transport for Federated Incomplete Multi-Modal Learning of Brain Tumor Segmentation. - Qiushi Yang; Meilu Zhu; Yat Ming Peter Woo; Leanne Lai-Hang Chan; Yixuan Yuan (IEEE J. Biomed. Health Informatics, 2025)