Dr. Zhen CHEN

陈阵

Assistant Professor

Centre for Artificial Intelligence and Robotics (CAIR),
Hong Kong Institute of Science & Innovation,
Chinese Academy of Sciences,
NT, Hong Kong SAR.

Email: zhen.chen AT cair-cas.org.hk
[Curriculum Vitae]

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 AI for Healthcare, Medical Image Analysis, and Multimodal Learning. Recently I focus on multi-modal LLMs for diagnosis and surgery. In recognition of the research achievements in AI-assisted diagnosis and surgery, I received the Hong Kong Young Scientist Award 2023, as the only awardee in the engineering field of Hong Kong.

I am looking for research collaboration, please drop me an email if you are interested.

News

[Jun 2024] Five more papers accepted by MICCAI 2024, and one paper accepted by IROS 2024 as Oral
[May 2024] Two papers accepted by MedIA and TOMM, and one paper early accepted by MICCAI 2024
[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

Publications

Journal Papers

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.
Domain Adaptive Thermal Object Detection with Unbiased Granularity Alignment [paper] [code]
Caijuan Shi, Yuanfan Zheng, Zhen Chen✉.
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2024.
Mask-Aware Transformer with Structure Invariant Loss for CT Translation [paper]
Wenting Chen, Wei Zhao, Zhen Chen, Tianming Liu, Li Liu, Jun Liu, Yixuan Yuan.
Medical Image Analysis (MedIA), 2024.
Comprehensive Learning and Adaptive Teaching: Distilling Multi-Modal Knowledge for Pathological Glioma Grading [paper] [code]
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.

Conference Papers

ASI-Seg: Audio-Driven Surgical Instrument Segmentation with Surgeon Intention Understanding [paper] [code]
Zhen Chen, Zongmin Zhang, Wenwu Guo, Xingjian Luo, Long Bai, Jinlin Wu, Hongliang Ren, Hongbin Liu.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024), Abu Dhabi, UAE.
Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics [paper] [code]
Huan Xu, Jinlin Wu, Guanglin Cao, Zhen Chen✉, Zhen Lei, Hongbin Liu.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2024), Moroccan.
MOST: Multi-Formation Soft Masking for Semi-Supervised Medical Image Segmentation
Xinyu Liu*, Zhen Chen*, Yixuan Yuan.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2024), Moroccan.
PANS: Probabilistic Airway Navigation System for Real-time Robust Bronchoscope Localization [paper]
Qingyao Tian, Zhen Chen, Huai Liao, Xinyan Huang, Bingyu Yang, Lujie Li, Hongbin Liu.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2024), Moroccan.
Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning
Qi Chen, Xiaohan Xing, Zhen Chen, Zhiwei Xiong.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2024), Moroccan.
Endora: Video Generation Models as Endoscopy Simulators [paper] [code]
Chenxin Li, Brandon Feng, Hengyu Liu, Yifan Liu, Wuyang Li, Xinyu Liu, Zhen Chen, Jing Shao, Yixuan Yuan.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2024), Moroccan.
SurgFC: Multimodal Surgical Function Calling Framework on the Demand of Surgeons
Zhen Chen, Xingjian Luo, Jinlin Wu, Danny T. M. Chan, Zhen Lei, Sebastien Ourselin, Hongbin Liu.
IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2024), Lisbon, Portugal.
Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading [paper] [code]
Li Pan, Yupei Zhang, Qiushi Yang, Tan Li, Xiaohan Xing, Maximus C. F. Yeung, Zhen Chen✉.
IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2024), Lisbon, Portugal.
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.
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.
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.
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.
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.

Experience

Postdoc Fellow | City University of Hong Kong

Advisor: Prof. Yixuan Yuan
AIM Group, Dept. of EE
Mar 2022 - Oct 2022, Kowloon, Hong Kong SAR

Research Intern | Tencent AI Healthcare
Advisor: Dr. Xiao Han and Dr. Jun Zhang
Pathological Treatment Group
May 2020 - Sep 2020, Shenzhen, China

Research Intern | Institute of Automation, Chinese Academy of Sciences
Advisor: Prof. Stan Z. Li and Prof. Zhen Lei
National Laboratory of Pattern Recognition
Jun 2015 - Aug 2015, Beijing, China