数字媒体研究中心
Digital Media Research Center

张健 助理教授

时间:2019-06-14

导师与研究领域、方向:

          张健,博士,北京大学信息工程学院助理教授,博士生导师。哈尔滨工业大学数学与应用数学理学学士、计算机科学与技术工学硕士及计算机应用工学博士,并分别在北京大学、香港科技大学和沙特阿卜杜拉国王科技大学做博士后访问研究。

          已在TIP、TCSVT、TMM、CVPR、DCC等高水平国际期刊和会议上发表SCI/EI收录论文50余篇。个人Google学术检索引用已超过1200次,其中单篇最高引用超过260次。获得哈尔滨工业大学第十七届优秀博士学位论文,2015年度ACM中国哈尔滨分会优秀博士论文奖,2011年度本领域重要国际会议IEEE VCIP最佳论文奖以及2015年度IEEE VCIP最佳学生论文奖。目前被邀请担任包括TPAMI和TIP等16个国际期刊的审稿人以及担任CVPR、ECCV、NIPS、ACCV、AAAI、ICML等国际会议PC成员。

研究方向:
1、深度学习与最优化
2、多媒体数据压缩与重建
3、计算机视觉
近年来有代表性的文章:

1、Jian Zhang, Bernard Ghanem, ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, Jun. 2018. (EI, 计算机视觉领域顶级国际会议)
2、Zhao Wang, Shiqi Wang, Jian Zhang, Shangshe Wang, Siwei Ma, Probabilistic Decision Based Block Partitioning for Future Video Coding, IEEE Transactions on Image Processing (TIP), vol. 27, no. 3, pp. 1475-1486, Mar. 2018. (SCI, 影响因子= 4.828, 图像处理领域顶级国际期刊)
3、Yuankai Qi, Lei Qin, Jian Zhang, Shengping Zhang, Qingming Huang, Ming-Hsuan Yang, Structure-aware Local Sparse Coding for Visual Tracking, IEEE Transactions on Image Processing (TIP), vol. 27, no. 8, pp. 3857-3869, 2018. (SCI, 影响因子= 4.828, 图像处理领域顶级国际期刊)
4、Ruiqin Xiong, Jian Zhang, Feng Wu, Jizheng Xu, Wen Gao. Power-Distortion Optimization for Uncoded Linear Transformed Transmission of Images and Videos, IEEE Transactions on Image Processing (TIP), vol. 26, no. 1, pp. 222-236, Jan. 2017. (SCI, 影响因子= 4.828, 图像处理领域顶级国际期刊)
5、Chen Zhao, Jian Zhang, Siwei Ma, Xiaopeng Fan, Yongbing Zhang, Wen Gao, Reducing Image Compression Artifacts by Structural Sparse Representation and Quantization Constraint Prior, IEEE Transactions on Circuits Systems and Video Technology (TCSVT), vol. 27, no. 10, pp. 2057-2071, Oct. 2017. (SCI, 影响因子= 3.599, 视频处理领域顶级国际期刊)
6、Jian Zhang, Ruiqin Xiong, Chen Zhao, Yongbing Zhang, Siwei Ma, Wen Gao, CONCOLOR: COnstrained Non-COnvex LOw-Rank Model for Image Deblocking, IEEE Transactions on Image Processing (TIP), vol. 25, no. 3, pp. 1246-1259, Mar. 2016. (SCI, 影响因子= 4.828, 图像处理领域顶级国际期刊)
7、Jian Zhang, Chuanmin Jia, Nan Zhang, Siwei Ma, Wen Gao, Structure-driven Adaptive Non-local Filter for High Efficiency Video Coding (HEVC), IEEE Data Compression Conference (DCC), Snowbird, Utah, USA, Mar. 2016. (EI, 数据压缩领域顶级国际会议)
8、Jian Zhang, Debin Zhao, Wen Gao, Group-based Sparse Representation for Image Restoration, IEEE Transactions on Image Processing (TIP), vol. 23, no. 8, pp. 3336-3351, Aug. 2014. (SCI, 影响因子= 4.828, 图像处理领域顶级国际期刊)
9、Jian Zhang, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao, Image Restoration Using Joint Statistical Modeling in a Space-Transform Domain, IEEE Transactions on Circuits Systems and Video Technology (TCSVT), vol. 24, no. 6, pp. 915-928, Jun. 2014. (SCI, 影响因子= 3.599, 视频处理领域顶级国际期刊)
10、Jian Zhang, Chen Zhao, Debin Zhao, and Wen Gao, Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization, Signal Processing (SP), vol. 103, pp. 114-126 , Oct. 2014. (SCI, 影响因子= 3.110, 信号处理领域知名国际期刊)
11、Jian Zhang, Debin Zhao, Feng Jiang, Wen Gao, Structural Group Sparse Representation for Image Compressive Sensing Recovery, IEEE Data Compression Conference (DCC2013), pp. 331-340, Snowbird, Utah, USA, Mar. 2013. (EI, 数据压缩领域顶级国际会议)
12、Jian Zhang, Debin Zhao, Chen Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao, Compressed Sensing Recovery via Collaborative Sparsity, IEEE Data Compression Conference (DCC2012), pp. 287–296, Snowbird, Utah, USA, Apr. 2012. (EI, 数据压缩领域顶级国际会议)
13、Jian Zhang, Debin Zhao, Chen Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao, Image Compressive Sensing Recovery via Collaborative Sparsity, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 2, no. 3, pp. 380–391, Sep. 2012. (SCI, 影响因子= 2.542, 电路系统领域知名国际期刊)
14、Jian Zhang, Ruiqin Xiong, Siwei Ma, Debin Zhao, High-Quality Image Restoration from Partial Random Samples in Spatial Domain, IEEE Visual Communications and Image Processing (VCIP2011), pp. 1–4, Tainan, Taiwan, Nov. 2011. (最佳论文奖, EI, 视觉通讯与图像处理领域重要国际会议)

主持/参与的主要科研项目:
1、基于压缩感知理论的图像采样、编码和重建研究
2、基于内容分析的高效视频编码
3、基于结构信息特征的监控视频编码
4、基于统计建模和稀疏表示的图像视频增强表达和高效编码
对计划招收研究生的基本要求:
1、专业范围:计算机科学技术、数学、电子信息技术、其他相关学科;
2、外语/数学能力:英语六级;
3、研究/开发能力:熟练的程序设计能力,具有一定的探索能力和创新精神;
4、其他要求:对做科研工作有兴趣。
更多招生和科研最新信息请关注个人主页: https://jianzhang.tech/