姓 名：陈赞
工作部门：浙江工业大学信息工程学院性 别：男
技术职称：副研究员最高学位：博士
民 族：汉
籍 贯：河南开封联系方式：
Email: zanchen2@zjut.edu.cn
电话：13700221579
主要研究方向：图像处理，稀疏编码，压缩感知，深度学习简 历：
2019/12-至今 浙江工业大学 信息工程 副研究员
2014/9-2019/9 西安交通大学 信息与通信工程 博士 导师：侯兴松 2018/3-2019/3
University of East Anglia Computer Science 访问学者 导师：邵岭 2012/9-2014/7
西安交通大学 信息与通信工程 硕士 导师：侯兴松
2008/9-2012/7 西安交通大学 信息工程 学士

研究（情况）项目：
面上项目，无线多媒体传感器网络中基于低秩和深度神经网络的高效、非对称、鲁棒图像编码传输，2019-01 至 2022-12，参加

发表的论文、专著、教材：
[1]、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. (SCI)
[2] 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, 4(30):1109-1120. (SCI)
[3] Z. Chen, X. Hou, C. Gong, et al. Compressive sensing reconstruction for compressible signal
based on projection replacement. Multimedia Tools and Applications, 2016, 75(5):2565–2578.
(SCI)
[4] Z. Chen, X. Hou, L. Shao, et al. Revising Regularization with Linear Approximation Term for
Compressive Sensing Improvement. Electronics Letters, 2019, 55(7):384-386. (SCI)
[5] Z. Chen, X. Hou, L. Shao, et al. Compressive-Sensed Image Coding via Multi-Layer
Closed-Loop Prediction. Data Compression Conference (DCC). 2019. (EI, CCF B)
[6] Z. Chen, S. Wang, X. Hou, et al. Recurrent Transformer Network for Remote Sensing Scene
Categorisation. British Machine Vision Conference (BMVC). 2018. (CCF C)
[7] X. Hou, Z. Chen, J. Sun, et al. Exploiting wavelet-domain intra-scale and
inter-scale dependencies in Bayesian compressive sensing with context modeling. IEEE China Summit
and International Conference on Signal and Information Processing. 2015. (EI)
[8] X. Hou, Z. Chen, S. Xu. Compressive Sensing Improvement Based on
Projection

Replacement in Measurement Space. International Conference on Internet Multimedia Computing and
Service. 2014. (EI)
[9] Y. Tan, X. Hou, Z. Chen, et al. Image compressive sensing reconstruction based
on collaboration reduced rank preprocessing. Electronics Letters, 2017, 53(11):717-718. (SCI)
[10] X. Hou, L. Zhang, Z. Chen, et al. Sparse-filtering in directional lifting wavelet
transform domain based Bayesian compressive sensing. International Journal of Wavelets
Multiresolution
\& Information Processing, 2014, 12(06):4628-568. (SCI)

科研成果及专利：
[1] 侯兴松, 陈赞, 邹屹洋. 一种压缩感知图像编码传输方法. 授权号: ZL201711131617.7,
发明专利.

其它：
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