个人简介（简历） 沈礼权（男），研究员，博士。专业：信息与通信工程。2014年获得国家自然科学基金委优秀青年科学基金，并先后入选上海市曙光人才计划、上海市科技启明星计划、上海市浦江人才计划。美国佛罗里达大学访问学者。担任新型显示与应用集成教育部重点实验室副主任和Neurocomputing等多种国际期刊的Associate Editor。目前主持国家自然科学基金重点项目、面上项目、上海市科委攻关项目等多项科研项目。获教育部自然科学二等奖（排名第一），电子学会自然科学二等奖（排名第一）、上海市科技进步一等奖（排名第五）、上海市科技进步二等奖（排名第五）。发表论文100余篇，代表论文发表于IEEE Trans. IP、IEEE Trans. MM、IEEE Trans. CSVT、IEEE Trans. II、IEEE Trans. ETCI、ACM Trans. MM、IEEE Trans. Broadcasting、IEEE SPL、Signal Processing等国际著名期刊。出版专著2部。获授权发明专利11项。论文累计被Google学术搜索引用3500余次，SCI引用2300余次，入选ESI高被引论文4篇，论文单篇最高引用超430次。出版专著2本，授权发明专利10余项 科研方向 主要研究领域为图像处理，包括：深海水下成像与压缩传输、面向人眼视觉的视频压缩和处理、面向机器视觉的视频智能压缩与处理、虚拟现实（点云、高动态和3D）。 本科生教学 主讲二门本科生核心课程包括《数据结构与算法基础》， 《超高清智能技术》。 研究生培养 主讲二门研究生课程包括《多媒体技术》和《数字图像处理》；毕业的研究生有3人次获得上海市/上海大学优秀毕业研究生和优秀学生干部，入职在阿里达摩院、高通、字节跳动、ZOOM、思科、华为、海康等国际顶级公司。 承担或参与的科研项目 （1）国家自然科学基金重点项目，深海水下成像与压缩传，2019-2024 （2）国家自然科学基金面上项目，基于主观质量评价模型的屏幕视频高效编码研究，2017-2020 （3）上海市科委重点支撑项目，HDR采集与高动态图像处理设备，2018-2020 学术论文及授权发明专利 [1] Liangwei Yu, Liquan Shen, Hao Yang, Lu Wang and Ping An, Quality Enhancement Network via Multi-Reconstruction Recursive Residual Learning for Video Coding, IEEE Signal Processing Letters, vol. 26, no. 4, pp. 557-561, April 2019. [2] Hao Yang, Liquan Shen, Xinchao Dong, Ping An, Gangyi Jiang, Low Complexity CTU Partition Structure Decision and Fast Intra Mode Decision for Versatile Video Coding, IEEE Transactions on Circuit System for Video Technology, doi: 10.1109/TCSVT.2019.2904198, 2019. [3] Liquan Shen, Zhaoyang Zhang, Zhi Liu, Effective CU size decision for HEVC intra coding, IEEE Transaction on Image Processing, Vol.23, No. 10, pp. 4232-4241, 2014. （ESI高被引论文，全球前1%水平的科研论文） [4] Liquan Shen, Zhaoyang Zhang, Zhi Liu, Adaptive inter-mode decision for HEVC jointly utilizing inter-level and spatio-temporal correlations, IEEE Transactions on Circuit System for Video Technology, Vol. 24, No. 10, pp. 1709-1722, 2014. （ESI高被引论文，全球前1%水平的科研论文） [5] Liquan Shen, Zhi Liu, Xinpeng Zhang, Wenqiang Zhao, Zhaoyang Zhang, An effective CU size decision method for HEVC encoders, IEEE Transactions on Multimedia, Vol. 15, No.2 , pp.465-470, 2013.2. （ESI高被引论文，全球前1%水平的科研论文） [6] Liquan Shen, Zhaoyang Zhang, Ping An, Fast CU size decision and mode decision algorithm for HEVC intra coding, IEEE Transactions on Consumer Electronics, Vol. 59, No. 1, 2013.2. （ESI高被引论文，全球前1%水平的科研论文） [7] Liquan Shen, Zhaoyang Zhang, Zhi Liu, Efficient Intra Mode Selection for Depth-Map Coding Utilizing Spatiotemporal, Inter-Component and Inter-View Correlations in 3D-HEVC, IEEE Transaction on Image Processing, Vol. 27, No. 9, pp. 4195-4206, 2018. [8] Liquan Shen, Zhaoyang Zhang, Qianqian Hu, Zhaoyang Zhang, Zhenchuan Chen, A 3D-HEVC fast mode decision algorithm for real-time applications，ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 11, No. 3, P. 34, Jan. 2015. [9] Liquan Shen, Ping An, Zhi Liu, Zhaoyang Zhang, Low Complexity Depth Coding Assisted by Coding Information From Color Video, IEEE Transactions on Broadcasting, Vol. 60, No. 1, pp. 128-133,2014. [10] Hao Yang, Liquan Shen, Yang Yang and Weiyao Lin, A novel rate control scheme for video coding in HEVC-SCC, IEEE Trans. Broadcasting, doi: 10.1109/TBC. 2019.2954062, 2019. [11] Liquan Shen, Ruigang Fang, Yang Yao, Dapeng Wu, No-Reference Stereoscopic Image Quality Assessment based on Image Distortion and Stereo Perceptual Information, IEEE Trans. Emerging Topics in Computational Intelligence, Vol. 3, No. 1 pp. 59-72, 2019. [12] Liquan Shen, Guorui Feng, Ping An, Low complexity scalable extension of the High Efficiency Video Coding (SHVC) encoding systems, ACM Transactions on Multimedia Computing Communications and Applications, Vol. 15, No.2, 2019. [13] Liquan Shen, Guorui Feng, Ping An, SHVC CU processing aided by a feedforward neural network, IEEE Trans. on Industrial Informatics, vol. 15, no. 11, pp. 5803-5815, Nov. 2019. [14] Liquan Shen, Guorui Feng, Content-based adaptive SHVC mode decision algorithm, IEEE Transactions on Multimedia, vol. 21, no. 11, pp. 2714-2725, 2019. [15] Linru Zheng, Liquan Shen, Jianan Chen, Ping An and Jun Luo, No Reference Quality Assessment for Screen Content Images Based on Hybrid Region Features Fusion, IEEE Transactions on Multimedia, vol. 21, no. 8, pp. 2057-2070, Aug. 2019. |