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个人资料 单位： 信息工程学院 单位： 信息工程学院 职务： 无 研究方向： 图像处理 {"data":[{"fieldValue":"图像处理"}]} 联系电话： 电子邮箱： zanchen2@zjut.edu.cn 办公地址： 屏峰校区信息楼a203,个人资料 单位： 信息工程学院 单位： 信息工程学院 职务： 无 研究方向： 图像处理 {"data":[{"fieldValue":"图像处理"}]} 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 科研项目 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； 科研成果 期刊：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, C. Ma, Y. Feng, et al. Directional lifting wavelet transform domain image steganography with deep-based compressive sensing. Multimedia Tools and Applications, 2023, 82: 40891-40912.Z. Chen, C. Ma, T. Wang, et al. Robust image compression-encryption via scrambled block bernoulli sampling with diffusion noise. IET Image Processing, 2023, 17(5): 1478-1492.Z. Chen, Y. Ren, Y. Feng. Deep 2nd-order Residual Block for Image Denoising, Multimedia Tools and Applications, 2023, 82: 2101-2119.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, L. Shao, et al. Revising Regularization with Linear Approximation Term for Compressive Sensing Improvement. Electronics Letters, 2019, 55(7):384-386.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.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.会议：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