Dr. Zhen CHEN陈阵Assistant Professor
Centre for Artificial Intelligence and Robotics (CAIR), |
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I am an assistant professor in Centre for Artificial Intelligence and Robotics (CAIR), Chinese Academy of Sciences. Before joining CAIR, I received the Ph.D. degree in Electrical Engineering, City University of Hong Kong (CityU) in 2022, and worked as postdoc fellow, advised by Prof. Yixuan Yuan. Prior to that, I received the M.Phil. degree in Electronic Engineering and Information Science, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China (USTC) in 2019, and the B.Eng. degree in Information Engineering, Xi'an Jiaotong University (XJTU) in 2016, with admission to XJTU-CASIA Automation Elite Class.
My research interests include Medical Image Analysis, Multimodal Learning and Machine Learning. Recently I focus on Intelligent Multimodal Healthcare and Imperfect Medical Data. My Ph.D. thesis is Towards Intelligent Medical Image Diagnosis: Exploration on Imperfect Data.
I am looking for research collaboration, please drop me an email if you are interested.
[Dec 2023] Honorably won Hong Kong Young Scientist Award 2023
[Sep 2023] Two papers accepted by MedIA, and one paper accepted by BIBM 2023
[Jun 2023] One paper accepted by MedIA, and one more paper accepted by MICCAI 2023
[May 2023] Two papers early accepted by MICCAI 2023
[Oct 2022] Join CAIR-CAS as assistant professor
Unified Multi-modal Diagnostic Framework with Reconstruction Pre-training and Heterogeneity-combat Tuning [paper] [code]
Yupei Zhang, Li Pan, Qiushi Yang, Tan Li, Zhen Chen.
IEEE Journal of Biomedical and Health Informatics (JBHI), 2024.
Comprehensive Learning and Adaptive Teaching: Distilling Multi-Modal Knowledge for Pathological Glioma Grading [paper]
Xiaohan Xing, Meilu Zhu, Zhen Chen, Yixuan Yuan.
Medical Image Analysis (MedIA), 2024.
Medical Federated Learning with Joint Graph Purification for Noisy Label Learning [paper] [code]
Zhen Chen, Wuyang Li, Xiaohan Xing, Yixuan Yuan.
Medical Image Analysis (MedIA), 2023.
Generalized Gradient Flow Based Saliency for Pruning Deep Convolutional Neural Networks [paper] [code]
Xinyu Liu, Baopu Li, Zhen Chen, Yixuan Yuan.
International Journal of Computer Vision (IJCV), 2023.
Gradient Modulated Contrastive Distillation of Low-Rank Multi-Modal Knowledge for Disease Diagnosis [paper] [code]
Xiaohan Xing, Zhen Chen, Yuenan Hou, Yixuan Yuan.
Medical Image Analysis (MedIA), 2023.
Hierarchical Bias Mitigation for Semi-Supervised Medical Image Classification [paper] [code]
Qiushi Yang, Zhen Chen, Yixuan Yuan.
IEEE Transactions on Medical Imaging (TMI), 2023.
FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-conflicting
[paper] [code]
Meilu Zhu, Zhen Chen, Yixuan Yuan.
IEEE Transactions on Medical Imaging (TMI), 2023.
Personalized Retrogress-Resilient Federated Learning Towards Imbalanced Medical Data [paper] [code]
Zhen Chen, Chen Yang, Meilu Zhu, Zhe Peng, Yixuan Yuan.
IEEE Transactions on Medical Imaging (TMI), 2022.
D2-Net: Dual Disentanglement Network for Brain Tumor Segmentation with Missing Modalities [paper] [code]
Qiushi Yang, Xiaoqing Guo, Zhen Chen, Peter Y. M. Woo, Yixuan Yuan.
IEEE Transactions on Medical Imaging (TMI), 2022.
Source Free Domain Adaptation for Medical Image Segmentation with Fourier Style Mining [paper] [code]
Chen Yang, Xiaoqing Guo, Zhen Chen, Yixuan Yuan.
Medical Image Analysis (MedIA), 2022.
Instance Importance-Aware Graph Convolutional Network for 3D Medical Diagnosis [paper] [code]
Zhen Chen, Jie Liu, Meilu Zhu, Peter Y. M. Woo, Yixuan Yuan.
Medical Image Analysis (MedIA), 2022.
Non-equivalent Images and Pixels: Confidence-aware Resampling with Meta-Learning Mixup for Polyp Segmentation
Xiaoqing Guo, Zhen Chen, Jun Liu, Yixuan Yuan.
Medical Image Analysis (MedIA), 2022.
HTD: Heterogeneous Task Decoupling for Two-stage Object Detection [paper] [code]
Wuyang Li, Zhen Chen, Baopu Li, Dingwen Zhang, Yixuan Yuan.
IEEE Transactions on Image Processing (TIP), 2021.
DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation with Endoscope Images [paper] [code]
Meilu Zhu, Zhen Chen, Yixuan Yuan.
IEEE Transactions on Medical Imaging (TMI), 2021.
Super-Resolution Enhanced Medical Image Diagnosis with Sample Affinity Interaction [paper] [code]
Zhen Chen, Xiaoqing Guo, Peter Y. M. Woo, Yixuan Yuan.
IEEE Transactions on Medical Imaging (TMI), 2021.
Deep Neural Network Acceleration Based on Low-Rank Approximated Channel Pruning [paper] [code]
Zhen Chen, Zhibo Chen, Jianxin Lin, Sen Liu, Weiping Li.
IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), 2020.
Surgical Video Captioning with Mutual-Modal Concept Alignment [paper] [code]
Zhen Chen, Qingyu Guo, Leo K. T. Yeung, Danny T. M. Chan, Zhen Lei, Hongbin Liu, Jinqiao Wang.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2023), Vancouver, Canada.
Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation [paper] [code]
Li Pan, Yupei Zhang, Qiushi Yang, Tan Li, Zhen Chen.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2023), Vancouver, Canada.
Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels [paper]
Xiaohan Xing, Zhen Chen, Zhifan Gao, Yixuan Yuan.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2023), Vancouver, Canada.
Surgical Temporal Action-aware Network with Sequence Regularization for Phase Recognition [paper]
Zhen Chen, Yuhao Zhai, Jun Zhang, Jinqiao Wang.
IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023), Istanbul, Turkey.
Discrepancy and Gradient-guided Multi-Modal Knowledge Distillation for Pathological Glioma Grading [paper] [code]
Xiaohan Xing, Zhen Chen, Meilu Zhu, Yuenan Hou, Zhifan Gao, Yixuan Yuan.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2022), Singapore.
Semi-Supervised Medical Image Classification with Temporal Knowledge-Aware Regularization [paper] [code]
Qiushi Yang, Xinyu Liu, Zhen Chen, Bulat Ibragimov, Yixuan Yuan.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2022), Singapore.
Exploring Gradient Flow Based Saliency for DNN Model Compression [paper] [code]
Xinyu Liu, Baopu Li, Zhen Chen, Yixuan Yuan.
The 29th ACM International Conference on Multimedia (ACM MM 2021), Chengdu, China.
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning [paper] [code]
Zhen Chen*, Meilu Zhu*, Chen Yang*, Yixuan Yuan.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2021), Strasbourg, France.
Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring [paper] [code]
Zhen Chen*, Jun Zhang*, Shuanlong Che, Junzhou Huang, Xiao Han, Yixuan Yuan.
Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021).
Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution [paper] [code]
Zhen Chen, Xiaoqing Guo, Chen Yang, Bulat Ibragimov, Yixuan Yuan.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2020), Lima, Peru.
Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation [paper] [code]
Xiaoqing Guo, Zhen Chen, Yixuan Yuan.
IEEE International Symposium on Biomedical Imaging (ISBI 2020), Iowa City, USA.
Importance-Aware Filter Selection for Convolutional Neural Network Acceleration [paper]
Zikun Liu, Zhen Chen, Weiping Li.
2019 IEEE International Conference on Visual Communications and Image Processing (VCIP 2019), Sydney, Australia.
Exploiting Weight-Level Sparsity in Channel Pruning with Low-Rank Approximation [paper] [code]
Zhen Chen, Jianxin Lin, Sen Liu, Zhibo Chen, Weiping Li, Jin Zhao, Wei Yan.
2019 IEEE International Symposium on Circuits and Systems (ISCAS 2019), Sapporo, Japan.
Decouple and Stretch: A Boost to Channel Pruning [paper]
Zhen Chen, Jianxin Lin, Sen Liu, Jun Xia, Weiping Li.
2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC 2018), Orlando, USA.
Postdoc Fellow | City University of Hong Kong
AIM Group, Dept. of EE
Mar 2022 - Oct 2022, Kowloon, Hong Kong SAR
Research Intern | Tencent AI Healthcare
Pathological Treatment Group
May 2020 - Sep 2020, Shenzhen, China
Research Intern | Institute of Automation, Chinese Academy of Sciences
National Laboratory of Pattern Recognition
Jun 2015 - Aug 2015, Beijing, China
Hong Kong Young Scientist Award 2023 (Engineering Science)
IEEE TMI Distinguished Reviewer Award 2022-2023
MICCAI 2022 Young Scientist Award (2nd author)
MICCAI 2021 Student Travel Award
CityU Institutional Research Tuition Scholarship (RTS)
Xi'an Jiaotong University Outstanding Graduates Award
XJTU Outstanding Student Leaders Award
XJTU Outstanding Students Award (twice)
Siyuan Scholarship
National Inspirational Scholarship
Program Committee
Chairs of MICCAI 2024 Workshop on Embodied AI and Robotics for HealTHcare (EARTH)
Chairs of ICRA 2024 Workshop on C4 Surgical Robotic Systems in the Embodied AI Era
Chairs of MedAI 2024 Special Session on Embodied AI for Medical Robots
Chairs of IJCAI 2023 Symposium on Medical Large Models
32nd International Joint Conference on Artificial Intelligence (IJCAI 2023)
MICCAI 2022 Distributed, Collaborative and Federated Learning (DeCaF) Workshop
Technical Reviewers
MedIA, TMI, TIP, TNNLS, TIFS, TII, TCI, TASL, JBHI, OJEMB, AIIM
MICCAI, CVPR, ICCV, ECCV, ACCV, IJCAI, ICRA, IROS, ISBI, ICASSP
Grant Reviewers
Education Research Funding Programme (ERFP), MOE, Singapore