个人资料：
姓名：井佩光
职称：副教授/硕士生导师/博导师团导
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 维多利亚vic003， 电子信息工程系， 副教授
(2) 2018.02-2020.04 天津大学 维多利亚vic003， 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 维多利亚vic003， 博士生
主要研究方向：
(1) 短视频语义分析及理解
(2) 跨媒体智能计算
(3) 机器学习
主要科研项目：
(1) 国家自然科学基金, “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) 天津大学自主基金—“天津大学北洋学者-青年骨干教师项目”，负责人
(4) 天津市自然科学基金 “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, Yuechen Shang, Liqiang Nie, Yuting Su*, Jing Liu, Meng Wang. Learning Low-rank Sparse Representations with Robust Relationship Inference for Image Memorability Prediction. IEEE Transactions on Multimedia, 2021, DOI: 10.1109/TMM.2020.3009485. (中科院分区Top期刊)
[2] Peiguang Jing, Yuting Su*, Zhengnan Li, Liqiang Nie. Learning robust affinity graph representation for multi-view clustering. Information Sciences, 2021 544: 155-167. (中科院分区Top期刊)
[3] Peiguang Jing, Jing Zhang, Liqiang Nie, Shu Ye, Jing Liu, Yuting Su*. Tripartite Graph Regularized Latent Low-rank Representation for Fashion Compatibility Prediction. IEEE Transactions on Multimedia, 2021，DOI: 10.1109/TMM.2021.3062736 (中科院分区Top期刊)
[4] 张丽娟，崔天舒， 井佩光* ，苏育挺. 基于深度多模态特征融合的短视频分类[J].北京航空航天大学学报，2021，47(03)：478-485.
[5] Peiguang Jing, Shu Ye, Liqiang Nie, Jing Liu, Yuting Su*. Low-rank regularized multi-representation learning for fashion compatibility prediction. IEEE Transactions on Multimedia, 2020, 22(6): 1555-1566. (中科院分区Top期刊)
[6] 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. (中科院分区Top期刊)
[7] 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. (中科院分区Top期刊)
[8] Peiguang Jing, Yuting Su, Liqiang Nie, Humin Gu, Jing Liu, Meng Wang. 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. (ESI高被引)
[9] 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.
[10] Jing Liu, Wanning Sun, Yuting Su, Peiguang Jing*, Xiaokang Yang. BE-CALF: bit-depth enhancement by concatenating all level features of DNN, IEEE Transactions on Image Processing, 2019, 28 (10), 4926-4940. (中科院分区Top期刊)
[11] Jing Liu, Pingping Liu, Yuting Su, Peiguang Jing*, Xiaokang Yang. Spatiotemporal Symmetric Convolutional Neural Network for Video Bit-Depth Enhancement, IEEE Transactions on Multimedia, 2019, 21(9),2397-2406. (中科院分区Top期刊)
[12] Peiguang Jing, Yuting Su*, Liqiang Nie, Xu Bai, Jing Liu, Meng Wang. Low-rank Multi-view Embedding Learning for Micro-video Popularity Prediction. IEEE Transactions on Knowledge and Data Engineering, 2018, 30(8): 1519-1532. (CCFA类，ESI高被引)
[13] 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. (中科院分区Top期刊)
其他（社会兼职等）：
(1) 国际期刊客座编辑：
Multimedia Tools and Applications, Information Processing & Management
(2) 国际期刊及会议审稿人：
IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Cybernetics, IEEE Transactions on Multimedia, IEEE Signal Processing Letters, ACM Transactions on Multimedia Computing Communications and Applications, ACM Transactions on the Web, 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, 中国科学: 信息科学，Science China Technological Sciences，ACM MM, MMM等国际期刊与国际会议审稿人。
