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潘兆庆

Date:2023年10月21日

个人资料:

姓名:潘兆庆

职称:教授

学科专业:信息与通信工程

导师类型:博士生导师/硕士生导师

通讯地址:天津大学电气自动化与信息工程学院第26D512

电子信箱:pan_zhaoqing@hotmail.com

简介

潘兆庆,英才教授,博士生导师/硕士生导师。2014年毕业于香港城市大学,获计算机科学哲学博士学位。现工作于天津大学电气自动化与信息工程学院信息与通信工程学科。20136月至201311月,在美国华盛顿大学做访问学者。在国内外学术期刊及会议上发表SCI/EI论文60余篇,其中IEEE/ACM Transactions论文30余篇、ESI高被引论文8篇(含热点论文2篇);主持国家自然科学基金面上/青年项目、国家重点研发计划子课题、江苏省自然科学基金面上/青年项目等多项科研项目;获国家自然科学基金优秀青年科学基金、教育部自然科学二等奖(排名2)、江苏省科学技术奖一等奖(排名5)等,入选了江苏省六大人才高峰高层次人才计划、天津大学北洋英才计划、全球前2%顶尖科学家(World Top 2% Scientists)等。

主要经历:

(1)      2021.01-至今:天津大学,电气自动化与信息工程学院,教授

(2)      2014.12-2020.12:南京信息工程大学,计算机与软件学院,教授

(3)      2013.06-2013.11:华盛顿大学,访问学者

(4)      2009.10-2014.03:香港城市大学,计算机科学系,博士

主要研究方向:

多媒体通信与信息处理、视频编码、图像质量评价、人工智能与模式识别、类脑智能

代表性科研项目:

(1)      国家自然科学基金优秀青年科学基金项目(2023

(2)      国家重点研发计划子课题(2022

(3)      国家自然科学基金面上项目(2019

(4)      国家自然科学基金青年基金(2015

(5)      江苏省自然科学基金面上项目(2020

(6)      江苏省六大人才高峰高层才人才计划(2016

(7)      江苏省自然科学基金青年基金(2015

(8)      河北省自然科学基金青年基金(2014

(9)      南京市留学归国人员择优资助(2016

(10)   综合业务网理论及关键技术国家重点实验室开放课题(2020

代表性论著:

[1]      J. Zhang, Y. Hou, Zhaoqing Pan*, B. Peng, N. Ling and J. Lei, “SWGNet: Step-Wise Reference Frame Generation Network for Multiview Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology, pp. 1-9, 2023.

[2]      Zhaoqing Pan, F. Yuan, J. Lei, Y. Fang, X. Shao, S. Kwong, “VCRNet: Visual Compensation Restoration Network for No-Reference Image Quality Assessment,” IEEE Transactions on Image Processing, vol. 31, pp. 1613-1627, 2022.

[3]      J. Lei, Z. Zhang, Zhaoqing Pan*, D. Liu, X. Liu, Y. Chen, N. Ling, “Disparity-Aware Reference Frame Generation Network for Multiview Video Coding,” IEEE Transactions on Image Processing, vol. 31, pp. 4515-4526, 2022.

[4]      Zhaoqing Pan, F. Yuan, J. Lei, W. Li, N. Ling and S. Kwong, “MIEGAN: Mobile Image Enhancement via A Multi-Module Cascade Neural Network,” IEEE Transactions on Multimedia, vol. 24, pp. 519-533, 2022.

[5]       Zhaoqing Pan, F. Yuan, W. Yu, J. Lei, N. Ling and S. Kwong, “RDEN: Residual Distillation Enhanced Network-Guided Lightweight Synthesized View Quality Enhancement for 3D-HEVC,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 9, pp. 6347-6359, 2022.

[6]      Zhaoqing Pan, W. Yu, J. Lei, N. Ling and S. Kwong, “TSAN: Synthesized View Quality Enhancement via Two-Stream Attention Network for 3D-HEVC,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 1, pp. 345-358, 2022.

[7]      Zhaoqing Pan, H. Zhang, J. Lei, Y. Fang, X. Shao, N. Ling, and S. Kwong, “DACNN: Blind Image Quality Assessment via a Distortion-Aware Convolutional Neural Network,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 11, pp. 7518-7531, 2022.

[8]      G. Li, J. Lei, Zhaoqing Pan*, B. Peng and N. Ling, “Multiple Resolution Prediction With Deep Up-Sampling for Depth Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 9, pp. 6337-6346, 2022.

[9]      B. Peng, R. Chang, Zhaoqing Pan*, G. Li, N. Ling and J. Lei, “Deep In-Loop Filtering via Multi-Domain Correlation Learning and Partition Constraint for Multiview Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology, Early Access, pp. 1-11, 2022.

[10]   L. Shen, B. Zhao, Zhaoqing Pan*, B. Peng, S. Kwong and J. Lei, “Channel Recombination and Projection Network for Blind Image Quality Measurement,” IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-12, Art no. 2513512, 2022.

[11]   Zhaoqing Pan, F. Yuan, X. Wang, L. Xu, X. Shao, S. Kwong, “No-Reference Image Quality Assessment via Multi-Branch Convolutional Neural Networks,” IEEE Transactions on Artificial Intelligence, vol. 4, no. 1, pp. 148-160, 2023.

[12]   J. Lei, Y. Shi, Zhaoqing Pan*, D. Liu, D. Jin, Y. Chen, N. Ling, “Deep Multi-Domain Prediction for 3D Video Coding,” IEEE Transactions on Broadcasting, vol. 67, no. 4, pp. 813-823, 2021.

[13]   Zhaoqing Pan, X. Yi, Y. Zhang, B. Jeon and S. Kwong, “Efficient In-Loop Filtering Based on Enhanced Deep Convolutional Neural Networks for HEVC,” IEEE Transactions on Image Processing, vol. 29, pp. 5352-5366, 2020.

[14]   Zhaoqing Pan, X. Yi, Y. Zhang, H. Yuan, F. L. Wang, and S. Kwong, “Frame-level Bit Allocation Optimization Based on Video Content Characteristics for HEVC,” ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 16, no. 1, pp. 15:1-15:20, 2020.

[15]   Zhaoqing Pan, W. Yu, B. Wang, H. Xie, S. Sheng, J. Lei, S. Kwong, “Loss Functions of Generative Adversarial Networks (GANs): Opportunities and Challenges,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 4, no. 4, pp. 500-522, 2020.

[16]   Zhaoqing Pan, J. Lei, Y. Zhang, and F. L. Wang, “Adaptive Fractional-Pixel Motion Estimation Skipped Algorithm for Efficient HEVC Motion Estimation,” ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 14, no. 1, pp. 12:1-12:19, 2018.

[17]   J. Lei, D. Li, Zhaoqing Pan*, Z. Sun, S. Kwong and C. Hou, “Fast Intra Prediction Based on Content Property Analysis for Low Complexity HEVC-Based Screen Content Coding,” IEEE Transactions on Broadcasting, vol. 63, no. 1, pp. 48-58, 2017.

[18]   Zhaoqing Pan, J. Lei, Y. Zhang, X. Sun and S. Kwong, “Fast Motion Estimation Based on Content Property for Low-Complexity H.265/HEVC Encoder,” IEEE Transactions on Broadcasting, vol. 62, no. 3, pp. 675-684, 2016.

[19]   Zhaoqing Pan, Y. Zhang and S. Kwong, “Efficient Motion and Disparity Estimation Optimization for Low Complexity Multiview Video Coding,” IEEE Transactions on Broadcasting, vol. 61, no. 2, pp. 166-176, 2015.

[20]   J. Lei, J. Sun, Zhaoqing Pan*, S. Kwong, J. Duan and C. Hou, “Fast Mode Decision Using Inter-View and Inter-Component Correlations for Multiview Depth Video Coding,” IEEE Transactions on Industrial Informatics, vol. 11, no. 4, pp. 978-986, 2015.

[21]   Zhaoqing Pan, S. Kwong, M. -T. Sun and J. Lei, “Early MERGE Mode Decision Based on Motion Estimation and Hierarchical Depth Correlation for HEVC,” IEEE Transactions on Broadcasting, vol. 60, no. 2, pp. 405-412, 2014.

主要讲授课程:

本科生:Python程序设计》

研究生:《视频编码前沿技术》

主要学术成就、奖励及荣誉:

国家自然科学基金优秀青年科学基金获得者

教育部自然科学奖二等奖

江苏省科学技术奖一等奖

天津大学北洋英才计划

江苏省六大人才高峰高层次人才计划

全球前2%顶尖科学家(斯坦福大学与Elsevier联合发布)

其他(社会兼职等):

编委:Scientific ProgrammingPLOS OneComputers & Education: X Reality

客座编委:Multimedia Tools and ApplicationsBig Data Mining and AnalyticsApplied Sciences

IEEE高级会员、中国通信学会高级会员、CCF多媒体技术专委会执行委员等

国际学术期刊审稿专家:IEEE TCSVTTIPTMMTIITBCSPLJournal of Visual Communication and Image RepresentationIET Image ProcessingNeurocomputing

招生信息:

招收硕士研究生、博士研究生、博士后,欢迎同学们与我联系。

招生要求:1)对相关研究方向感兴趣,勤于探索,勇于创新;(2)有团结合作精神,积极主动,善于交流;(3)有良好的基础、一定的分析问题和解决问题能力;(4)有编程经验、深度学习或图像处理相关基础者优先。

招生专业:博士:信息与通信工程、电子信息(工程博士);硕士:信息与通信工程、电子信息(专业学位)。

招生名额:每年招收博士生1-2名、硕士生4名左右。