Meilu Zhu Ph.D. Student Department of Mechanical Engineering City University of Hong Kong, Kowloon, Hong Kong. Email: meiluzhu2-c@my.cityu.edu.hk Google Scholar

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About Me

I'm currently a third year Ph.D. student in City University of Hong Kong (CityU) and co-supervised by Prof. Yixuan Yuan and Prof. Jun Liu. My research interests are Deep Learning, Machine Learning, Computer Vision, Medical Image Analysis and Federated Learning.

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News

• [2024-10]  One paper is submitted to MedIA.
• [2024-10]  One paper is accepted by T-ASE.
• [2024-09]  Obtained Outstanding Academic Performance Award for Research Degree Students of CityU.
• [2024-09]  Awarded 2024-2025 Institutional Research Tuition Scholarship of CityU.
• [2024-08]  One paper is accepted by IEEE BIBM 2024.
• [2024-06]  One paper is submitted to TMI. One paper is submitted to COMPAG.
• [2024-05]  One paper is accepted by MICCAI 2024 (Early Accept).
• [2024-01]  One paper is accepted by TMI.
• [2023-10]  One paper is selected as Outstanding Papers by JOIG.
• [2023-10]  One paper is accepted by MedIA.
• [2023-09]  One paper accepted by COMPAG.
• [2023-09]  Awarded 2023-2024 Institutional Research Tuition Scholarship of CityU.
• [2023-07]  One paper is accepted by ICCV 2023.
• [2023-07]  One paper is accepted by TMI.
• [2023-06]  One paper is accepted by T-ASE.
• [2023-01]  One paper is accepted by TMI.
• [2022-07]  One paper is accepted by TMI.
• [2022-05]  One paper is accepted by MICCAI 2022 (Early Accept).
• [2022-04]  One paper is accepted by MedIA.
• [2021-05]  One paper is accepted by TMI.
• [2021-05]  One paper is accepted by MICCAI 2021 (Early Accept).
• [2021-04]  One paper is accepted by JBHI.

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Publications

@ Journal Papers (# indicates equal contribution)

• [MedIA] FedBM: Stealing Knowledge from Pre-trained Language Models for Heterogeneous Federated Learning
  Meilu Zhu, Qiushi Yang, Zhifan Gao, Yixuan Yuan*, Jun Liu*
  Medical Image Analysis (MedIA), under review, 2024. (IF: 12.41)
  
  
• [TMI] DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation
  Meilu Zhu, Axiu Mao, Jun Liu*, Yixuan Yuan*
  IEEE Transactions on Medical Imaging (TMI), under review, 2024. (IF: 11.56)
  
  
• [MedIA] Comprehensive Learning and Adaptive Teaching: Distilling Multi-Modal Knowledge for Pathological Glioma Grading
  Xiaohan Xing#, Meilu Zhu#, Zhen Chen, Yixuan Yuan*
  Medical Image Analysis (MedIA), 2023. (IF: 12.41)
  
  
• [TMI] FedOSS: Federated Open Set Recognition via Inter-client Discrepancy and Collaboration
  Meilu Zhu, Jing Liao, Jun Liu*, Yixuan Yuan*
  IEEE Transactions on Medical Imaging (TMI), 2023. (IF: 11.56)
  
  
• [TMI] FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-conflicting
  Meilu Zhu, Zhen Chen, Yixuan Yuan*
  IEEE Transactions on Medical Imaging (TMI), 2023. (IF: 11.56)
  
  
• [TMI] DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation with Endoscope Images
  Meilu Zhu, Zhen Chen, Yixuan Yuan*
  IEEE Transactions on Medical Imaging (TMI), 2021. (IF: 11.56)
  
  
• [NN] Branched Convolutional Neural Networks Incorporated with Jacobian Deep Regression for Facial Landmark Detection
  Meilu Zhu, Daming Shi*, Junbin Gao
  Neural Networks, Apri, 2019. (IF: 8.67)
  
  
• [COMPAG] CKSP: Cross-species Knowledge Sharing and Preserving for Universal Animal Activity Recognition
  Axiu Mao, Meilu Zhu*, Zhaojin Guo, Zheng He, Tomas Norton, Kai Liu
  Computers and Electronics in Agriculture (COMPAG), under review, 2024. (IF: 8.30)
  
  
• [COMPAG] 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*
  Computers and Electronics in Agriculture (COMPAG), 2023. (IF: 8.30)
  
  
• [T-ASE] CMCNet: Colorization-Aware Mix-Uncertainty-Adaptive Consistency Network for Semi-Supervised Fruit Counting
  Xiaochun Mai, Meilu Zhu, Yixuan Yuan*
  IEEE Transactions on Automation Science and Engineering (T-ASE), 2023. (IF: 6.636)
  
  
• [T-ASE] ParetoSSL: Pareto Semi-Supervised Learning with Bias-aware Gradient Preferences for Fruit Yield Estimation
  Xiaochun Mai, Meilu Zhu, Yixuan Yuan*
  IEEE Transactions on Automation Science and Engineering (T-ASE), 2024. (IF: 6.636)
  
  
• [TMI] Personalized Retrogress-Resilient Federated Learning Towards Imbalanced Medical Data
  Zhen Chen, Chen Yang, Meilu Zhu, Zhe Peng, Yixuan Yuan*
  IEEE Transactions on Medical Imaging (TMI), 2022. (IF: 11.56)
  
  
• [MedIA] Instance Importance-Aware Graph Convolutional Network for 3D Medical Diagnosis
  Zhen Chen, Jie Liu, Meilu Zhu, Peter Y. M. Woo, Yixuan Yuan*
  Medical Image Analysis (MedIA), 2022. (IF: 12.41)
  
  
• [JBHI] Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation
  Chen Yang, Xiaoqing Guo, Meilu Zhu, Bulat Ibragimov, Yixuan Yuan*
  IEEE Journal of Biomedical and Health Informatics (JBHI), Apri, 2021. (IF: 8.33)
  
  
• [TMI] MGIML: Cancer Grading with Incomplete Radiology-Pathology Data via Memory Learning and Gradient Homogenization
  Pengyu Wang, Huaqi Zhuang, Meilu Zhu, Xi Jiang, Jing Qin, Yixuan Yuan*
  IEEE Transactions on Medical Imaging (TMI), 2024. (IF: 11.56)
  
  
• [JOIG ] A 20-year Retrospect and Prospect of Medical Imaging Artificial Intelligence in China
  Xi Jiang, Yixuan Yuan, Yaping Wang, Zhenxiang Xiao, Meilu Zhu, Zehua Chen, Tianming Liu, Dinggang Shen
  Journal of Image and Graphics, Mar, 2022. (Outstanding Papers of 2022 [link] )
  
  

@ Conference Papers (# indicates equal contribution)

• [MICCAI'24] Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing
  Meilu Zhu, Qiushi Yang, Zhifan Gao, Jun Liu*, Yixuan Yuan*
  The International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024), 2024
  
  
• [MICCAI'21] Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
  Zhen Chen#, Meilu Zhu#, Chen Yang#, Yixuan Yuan*
  The International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), 2021
  
  
• [CVPR'19] Robust Facial Landmark Detection via Occlusion-adaptive Deep Networks
  Meilu Zhu, Daming Shi*, Mingjie Zheng, Muhammad Sadiq
  IEEE Computer Vision and Pattern Recognition (CVPR), 2019
  
  
• [ICME'19] Deep Geometry Embedding Networks for Robust Facial Landmark Detection
  Meilu Zhu, Daming Shi*
  IEEE International Conference on Multimedia & Expo (ICME), 2019
  
  
• [PCM'18] Branched Convolutional Neural Networks for Face Alignment
  Meilu Zhu, Daming Shi*, Songkui Chen, Junbin Gao
  Pacific-Rim Conference on Multimedia (PCM), 2018, pp.291-302
  
  
• [BIBM'24] Enhancing Clinical Information for Zero-Shot Medical Diagnosis by Prompting Large Language Model
  Qiushi Yang, Meilu Zhu, Yixuan Yuan*
  IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2024), 2024
  
  
• [ICCV'23] FedPD: Federated Open Set Recognition with Parameter Disentanglement
  Chen Yang, Meilu Zhu, Yifan Liu, Yixuan Yuan*
  International Conference on Computer Vision (ICCV), 2023
  
  
• [MICCAI'22] Discrepancy and Gradient-guided Multi-modal Knowledge Distillation for Pathological Glioma Grading
  Xiaohan Xing, Zhen Chen, Meilu Zhu, Yuenan Hou, Zhifan Gao, Yixuan Yuan*
  The International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), 2022
  
  
• [ICMLC'17] An Advanced Level Set Method based on Bregman Divergence for Inhomogeneous Image Segmentation
  Daming Shi*, Meilu Zhu
  International Conference on Machine Learning and Cybernetics (ICMLC), 2017,pp.334-339.
  
  

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