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青年基金项目1项，参与国家自然科学基金、浙江省重点研发计划等项目。已在TIP、TMM、TCSVT、DCC、BMVC等国内外期刊、会议发表学术论文10余篇，申请国家发明专利3项。TCSVT、IJCV、INFORM PROCESS MANAG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

• 国家自然科学基金青年项目：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；

期刊：

• 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, accepted (DOI: 10.1145/3701732).
  

• 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. 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