个人资料：

姓名：井佩光
职称：副教授/硕士生导师
学科专业：信息与通信工程
通讯地址：天津大学电气自动化与信息工程学院26教学楼D区330
电子信箱：pgjing@tju.edu.cn
主要经历：
(1) 2020.04-至今 天津大学 电气自动化与信息工程学院，电子信息工程系，副教授
(2) 2018.02-2020.04天津大学电气自动化与信息工程学院，电子信息工程系，讲师
(3) 2014.09-2015.09新加坡国立大学，计算机学院，博士联合培养
(4) 2013.09-2018.01天津大学电气自动化与信息工程学院，博士生
主要研究方向：
(1) 跨媒体数据分析
(2) 机器学习
(3) 张量分解
主要科研项目：
(1) 国家自然科学基金青年项目, “新媒体环境下短视频事件检测研究”，负责人
(2) 博士后科学基金面上项目,“面向短视频复杂事件检测的关键技术研究”，负责人
(3) 天津大学北洋****-青年骨干教师项目，“面向短视频语义分类的多模态数据表示方法研究”，负责人
代表性论著、学术著作：
[1]Peiguang Jing, Yuting Su, Xiao Jin, Chengqian Zhang. High-Order Temporal Correlation Model Learning for Time-Series Prediction. IEEE Transactions on Cybernetics, 2019, 49(6):2385-2397. (SCI一区, IF=10.387)
[2] Wei Lu, Fugui Fan, Jinghui Chu,Peiguang Jing*, Yuting Su. Wearable Computing for Internet of Things: A Discriminant Approach for Human Activity Recognition, IEEE Internet of Things Journal, 2019,6(2): 2749-2759. (SCI一区, IF=9.515)
[3]Peiguang Jing, Yuting Su, Liqiang Nie, et al. Low-rank Multi-view Embedding Learning for Micro-video Popularity Prediction. IEEE Transactions on Knowledge and Data Engineering, 2018, 30(8): 1519-1532. (SCI二区, IF=3.857，ESI高被引)
[4]Peiguang Jing, Yuting Su, Liqiang Nie, et al. A Framework of Joint Low-rank and Sparse Regression for Image Memorability Prediction. IEEE Transactions on Circuits and Systems for Video Technology, 2019,29(5):1296-1309 (SCI二区, IF=4.046)
[5] Jing Liu, Pingping Liu, Yuting Su,Peiguang Jing*, etc. Spatiotemporal Symmetric Convolutional Neural Network for Video Bit-Depth Enhancement, IEEE Transactions on Multimedia,, 2019, 21(9), 2397-2406. (SCI二区，IF=5.452)
[6]Peiguang Jing, Shu Ye, Liqiang Nie, Jing Liu, Yuting Su. Low-rank Regularized Multi-representation Learning for Fashion Compatibility Prediction, IEEE Transactions on Multimedia, 2019, DOI: 10.1109/TMM.2019.**. (SCI二区，IF=5.452)
[7]Peiguang Jing, Yuting Su, Liqiang Nie, Huimin Gu. Predicting Image Memorability Through Adaptive Transfer Learning From External Sources. IEEE Transactions on Multimedia, 2017, 19(5): 1050-1062. (SCI二区, IF=3.977)
[8]Peiguang Jing, Yuting Su, Zhengnan Li, Jing Liu, Liqiang Nie. Low-rank regularized tensor discriminant representation for image set classification. Signal Processing, 2019, 156:62-70. (SCI二区, IF=4.086)
[9] Anan Liu, Yingdi Shi,Peiguang Jing*, et al. Structured Low-rank Inverse-covariance Estimation for Visual Sentiment Distribution Prediction. Signal Processing, 2018, 152:206-216. (SCI二区, IF=4.086)
[10] Yuting Su, Daozheng Hong, Yang Li,Peiguang Jing*. Low-rank Regularized Deep Collaborative Matrix Factorization for Micro-video Multi-label Classification. IEEE Signal Processing Letters, 2020, DOI: 10.1109/LSP.2020.**.(SCI三区, IF=3.268)
主要讲授课程：
(1) 多媒体数据挖掘及分析（硕士生）
其他（社会兼职等）：
IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Cybernetics, IEEE Transactions on Multimedia, IEEE Access, Neurocomputing, Information Science, Signal Processing, Pattern Recognition Letters, Journal of Visual Communication and Image Representation, Multimedia Tools and Applications, Mathematical Problems in Engineering, ACM Transactions on the Web, ACM Multimedia, MMM等国际期刊与国际会议审稿人。