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更新时间：
2026-09-29
总访问量：10

陈赞

博士

高校讲师

硕士生导师

10 访问

更新时间：2026.09.29

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个人资料

  • 单位： 信息工程学院
  • 职务： 无
  • 研究方向：
  • 联系电话：
  • 电子邮箱： zanchen2@zjut.edu.cn
  • 办公地址： 屏峰校区信息楼a203

  • 个人简介

    陈赞，校聘副研究员，硕士生导师。2019年毕业于西安交通大学信息与通信工程专业，获得工学博士学位，2018年3月至2019年3月在英国东安格里亚大学做访问研究，主要研究方向为压缩感知、稀疏编码、图像鲁棒编码传输等。主持国家自然科学基金基金项目2项，参与国家自然科学基金、浙江省重点研发计划等项目。TMM、TCSVT、IJCV等期刊审稿人。

    • 2014-2019 西安交通大学 信息与通信工程 博士

    • 2012-2014 西安交通大学 信息与通信工程 硕士

    • 2008-2012 西安交通大学 信息工程    学士

    2019-至今 浙江工业大学 信息工程 校聘副研究员


  • 科研项目

    • 国自然基金面上项目：面向资源受限边缘传感器的基于语义通信的非对称图像编码与鲁棒传输（62572440），主持；

    • 国自然基金青年项目(C类)：基于数据驱动压缩感知的无人机图像编码研究（62002327），主持；

    • 浙江省自然科学基金探索项目：基于深度学习压缩感知的高角度分辨率脑神经成像算法研究 (LQ21F020017) ，主持；

    • 杭州市自然科学基金青年项目：基于模型-数据双驱动高角度扩散磁共振快速成像研究（2025SZRJJ2256），主持。


  • 科研成果

    期刊：

    • C. Chen, Z. Chen*, T. Hu et al, Multi-scene separation and reconstruction from the fused random compressed measurements, IEEE Transactions on Signal Processing, 2026, 74: 2656-2672.

    • Z. Chen, Y. Cao, Y. Feng et al, Learning-based haze visibility ranking score for real-world traffic surveillance images, Journal of Visual Communication and Image Representation, 2026, 117: 104770.

    • J. Li, Z. Chen*, Z. Teng et al, Diffusion skewness imaging using Q-space trajectory imaging with positivity constraints, Physics in Medicine and Biology, 2026, 71(4): 045012.  

    • Z. Chen, C. Chen, B. Wang et al, Robust Compressive Sensing Imaging for Quantization Bit Erasure, IEEE Transactions on Computational Imaging, 2026, 12: 431-444.

    • J. Zhu, Z. Chen*, Y. Yu, Y. Feng & Q. Jiang. PointGTA: A Geometric Triangle-Aware Network for 3D Point Cloud Learning, IEEE Sensor Journal, 2025, 25(22): 41634 - 41646 

    • Z. Chen, T. Wang, J. Li, et al, Discard Significant Bits of Compressed Sensing: A Robust Image Coding for Resource-Limited Contexts, ACM Transactions on Multimedia Computing, Communications and Applications, 2024, 21(1): 1-25.

    • Z. Chen, R. Li, Y. Li, et al, Deep motion regularizer for video snapshot compressive imaging. IEEE Transactions on Computational Imaging, 2024, 10: 1519-1532.

    • Y. Liu, M. Li, M. Li, et al, Z Chen*, Sliding transformer with uncertainty estimation for vestibular schwannoma automatic segmentation. Physics in Medicine and Biology, 2024, 69(7): 075017.

    • Z. Chen, C. Peng, W. Guo, et al. Uncertainty guided Transformer for brain tumor segmentation. Medical & Biological Engineering & Computing, 2023, 61: 3289-3301. 

    • Z. Chen, C. Peng, Y. Li, et al. Super-resolved q-space learning of diffusion MRI. Medical Physics, 2023, 50(12): 7700-7713.

    • Z. Chen,  L. Xie, Y. Chen, et al. Generative adversarial network based  cerebrovascular segmentation for time-of-flight magnetic resonance  angiography image, Neurocomputing, 2022, 488(1): 657-668.

    • Z. Chen, W. Guo, Y. Feng, et al. Deep-Learned Regularization and proximal Operator for Image Compressive Sensing. IEEE Transactions on Image Processing, 2021, 30：7112-7126.

    • Z. Chen, X. Hou, L. Shao, et al. Compressive Sensing Multi-layer Residual Coefficients for Image Coding. IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(4): 1109-1120.

    • Z. Chen, X. Hou, X. Qian, et al. Efficient and Robust Image Coding and Transmission Based on Scrambled Block Compressive Sensing. IEEE Transactions on Multimedia, 2018, 20(7):1610-1621.

    会议：

    • Z. Wu, J. Wu, J. Cui*, Y. Feng & Z. Chen*. Bowsher Prior Enhanced Unsupervised PET Image Denoising. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025.

    • W. Liao#, Z. Chen#, J. Xie, Y. Zheng, Y. Ma & Y. Zhao. A Frequency-Aware Self-supervised Learning for Ultra-Wide-Field Image Enhancement. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025.  

    • Z. Chen, X. Yu, Y. Feng. Connectivity-based Cerebrovascular Segmentation in Time-of-Flight Magnetic Resonance Angiography. ACM Multimedia  (ACM MM), 2024.

    • Z. Chen, R. Li, Y. Li, et al. Video Snapshot Compressive Imaging via Optical Flow. IEEE International Conference on Multimedia and Expo (ICME), 2023.

    • Z. Chen, C. Peng, H. Zhang, et al. Deep-based Super-Angular Resolution for Diffusion Imaging. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2021.

    • Z. Chen, C. Ma, Y. Feng, et al. Compressive Sensing Image Steganography via Directional Lifting Wavelet Transform. International Conference on Information and Communications Security (ICICS), 2021.

    • Z. Chen, X. Hou, L. Shao, et al. Compressive-Sensed Image Coding via Multi-Layer Closed-Loop Prediction. Data Compression Conference (DCC), 2019.

    • Z. Chen, S. Wang, X. Hou, et al. Recurrent Transformer Network for Remote ensing Scene Categorization. British Machine Vision Conference (BMVC), 2018


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