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 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.

News

Publications

Journal Papers

Conference Papers

  • Surgical Video Captioning with Mutual-Modal Concept Alignment
    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 [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
    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
    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.

Experience

Selected Awards

Professional Activities


© Zhen Chen | Last updated: Dec 2023