Peiguang Jing · 井佩光


职称：副教授/硕士生导师/博士团导师

学院：天津大学电气自动化与信息工程学院

学科专业：信息与通信工程

个人主页：https://peiguangjing.github.io/

Google学术：https://scholar.google.com/citations?user=Kr-OYyQAAAAJ&hl=zh-CN

  • 井佩光，博士，天津大学电气自动化学院副教授，硕导及博导师团导师，2018年毕业于天津大学信息与通信工程专业获工学博士学位，同年获天津大学优秀博士论文，并入选“北洋学者-青年骨干教师计划”，教育部学位与研究生教育评估监测专家库专家。

  • 作为项目负责人及项目骨干参与并完成多项国家自然科学基金、天津市人工智能科技重大专项、天津基础科技计划项目、博士后科学基金面上项目、自主创新基金等科研项目。申请人聚焦于基于多模态学习的主观语义分析、情感分析等各种智能分析问题，从多媒体数据的内容理解与分析、管理及分发两个层面开展相关研究。

  • 研究内容涵盖短视频/图像/音频的抽象级语义分析与识别、网络轻量化设计、多标签分类及自动标注，大规模快速检索，取得具有国际水平、国内领先的成果。已经累计发表60余篇国际SCI期刊论文及10余篇国内高水平中文期刊论文，谷歌学术引用超1000次, 知网单篇最高下载量超1900。

  • 近五年，以第一或通讯作者发表中科院SCI一区或TOP期刊30余篇，ESI高被引论文2篇，ESI热点论文1篇，IEEE/ACM系列长文论文如IEEE TKDE/TIP/TCYB/TCSVT/TMM/IOT等二十余篇，累计授权20余项发明专利。担任两种国际SCI期刊的客座编委，担任包括众多顶级学术期刊在内的30余种SCI期刊的审稿人及多项国际会议程序委员会委员，如IEEE TPAMI / TNNLS / TGRS / TKDE / TMM / TCSVT / TCYB / SPL、ACM TWEB/TOMM/MM、中国科学:信息科学/技术科学等。

    • 欢迎有志投身人工智能领域的热忱学子报考我的研究生或本科科研训练及毕设！2026年招生开启！（联系邮箱：pgjing@tju.edu.cn）

    欢迎与我联系申请天津大学博士学位！（联系邮箱：pgjing@tju.edu.cn）

 

研究方向

  • 短视频内容分析与理解：课题以短视频多模态融合为主线，面向短视频的内容分析与理解，管理与分发两个层次展开，研究内容涵盖短视频流行度预测、多标签分类及自动标注、记忆度预测、个性化推荐等。

  • 面向应用的多媒体工程：多模态语义分析是视觉理解中高层认知的重点和难点问题，课题研究从经典多媒体数据的表示学习出发，针对多媒体数据的情感计算、时尚穿搭、工业缺陷检测等展开研究。

  • 多源图像融合及增强：多源图像融合及增强是指将来自不同传感器、不同视角或不同场景拍摄的多幅图像融合成一幅图像，以提高图像的质量、增强信息的丰富度和稳健性。

  • 人口老龄化与主动健康：随着老龄化人口比例及规模的急剧增强，课题面向以阿尔茨海默病为代表的退行性神经疾病开展智能筛查、诊断、康复相关研究工作，以延缓老龄化的进程，提高老年人健康水平。

 

科研项目

  • 广西多源信息挖掘与安全重点实验室，短视频多标签分类关键技术研究，2023.01-2024.12，主持。

  • 天津大学自主创新基金，基于三维眼动信息的阿尔茨海默病诊断新方法，2022.01-2022.12， 主持。

  • 天津市自然科学基金青年项目，面向短视频语义分类的多模态数据表示方法研究，2020.04-2022.03，主持。

  • 天津大学“北洋学者—青年骨干教师计划”，2020.01-2021.12，主持。

  • 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, 2019/01—2021/12，主持。

  • 博士后科学基金面上项目, 2019M651038, 面向短视频复杂事件检测的关键技术研究， 2019/01—2021/12，主持。

  • 国家自然科学基金面上项目，61771338，消费级行人航位推算系统的关键算法研究，2018/01—2021/12，参与。

  • 国家自然科学基金面上项目，61572356，数字图像/视频平滑滤波盲取证技术研究，2016/01—2019/12，参与。

  • 国家自然科学基金面上项目，61572352,模拟视觉系统信息处理机制的生物启发式图像哈希研究，2016/01—2019/12，参与。

 

发表论文

近期论文
2025
2024
2023
2022及以前
中文期刊
所选论文的bib已复制 !

  1. Junfu Tan, Peiguang Jing, etc. ICCV2025 | MPBR: Multimodal Progressive Bidirectional Reasoning for Open-Set Fine-Grained Recognition [pdf] [code] [bib]

  2. Wei Lu, He Zhao, Dubuke Ma, Peiguang Jing, LUFormer: A luminance-informed localized transformer with frequency augmentation for nighttime flare removal, Neural Networks, Volume 190, 2025, 107660, ISSN 0893-6080. [pdf] [code] [bib]

  3. Yun Liu, Zhipeng Wen, Leida Li, Peiguang Jing, Daoxin Fan. MIGF-Net: Multimodal interaction-guided fusion network for image aesthetics assessment [J]. Pattern Recognition, 2026, 172: 112401. [pdf] [code] [bib]

  4. Yuting Su, Enqi Su, Weiming Wang, Peiguang Jing, Dubuke Ma, Fu Lee Wang. Adversarial neighbor perception network with feature distillation for anomaly detection[J]. Expert Systems with Applications, 2025, 274: 126911. [pdf] [code] [bib]

  5. Yu Qiao, Wei Lu, Peiguang Jing, Weiming Wang, Yuting Su. Multimodal Dual-Graph Collaborative Network With Serial Attentive Aggregation Mechanism for Micro-Video Multi-Label Classification[J]. IEEE Transactions on Multimedia, 2025. [pdf] [code] [bib]

  6. Chen Zhao, Mengyuan Yu, Fan Yang, Peiguang Jing. VIIS: Visible and Infrared Information Synthesis for Severe Low-Light Image Enhancement. In Proceedings of IEEE/CVF Winter Conference on Applications of Computer Vision, 2025: 2174-2184. [pdf] [code] [bib]

  7. Yuting Su, Peng Ma, Weiming Wang, Shaochu Wang, Yuting Wu, Yun Li, Peiguang Jing. AMDANet: Augmented Multi-scale Difference Aggregation Network for Image Change Detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025. 63,5616012 [pdf] [code] [bib]

  8. Wei Lu, Yujia Zhai, Jiaze Han, Peiguang Jing*, Yu Liu, Yuting Su. VMemNet: A Deep Collaborative Spatial-Temporal Network with Attention Representation for Video Memorability Prediction. IEEE Transactions on Multimedia, 2024, 26: 4926-4937 [pdf] [bib]

  9. Peiguang Jing, Haoyi Sun, Liqiang Nie, Yun Li*, Yuting Su. Deep Multi-modal Hashing with Semantic Enhancement for Multi-label Micro-video Retrieval, IEEE Transactions on Knowledge and Data Engineering, 2024,36(10): 5080-5091 [pdf] [code][bib]

  10. Peiguang Jing, Kai Cui, Weili Guan, Liqiang Nie, Yuting Su. Category-aware Multimodal Attention Network for Fashion Compatibility Modeling. IEEE Transactions on Multimedia, 2024.25: 9120-9131 [pdf] [bib]

  11. Peiguang Jing, Xuan Zhao, Fugui Fan, Fan Yang, Yun Li, Yuting Su. Multimodal Progressive Modulation Network for Micro-video Multi-label Classification. IEEE Transactions on Multimedia, 2024.26: 10134-10144 [pdf] [bib]

  12. Peiguang Jing, Kai Zhang, Xianyi Liu, Yun Li, Yu Liu, Yuting Su. Dual Preference Perception Network for Fashion Recommendation in the Social Internet of Things. IEEE Internet of Things Journal, 2024, 11(5): 7893-7903 [pdf] [code][bib]

  13. Peiguang Jing, Kai Cui, Jing Zhang, Yun Li*, Yuting Su. Multimodal High-order Relationship Inference Network for Fashion Compatibility Modeling in Internet of Multimedia Things[J]. IEEE Internet of Things Journal, 2024,11(1): 353–365 [pdf] [bib]

  14. Peiguang Jing, Xiaoyu Liu, Xuehui Wang, Yuting Su. Deep Matrix Factorization with Complementary Semantic Aggregation for Micro-Video Multi-Label Classification. IEEE Signal Processing Letters, 2024,31: 1685-1689 [pdf] [bib]

  15. Fugui Fan, Yuting Su, Liqiang Nie, Peiguang Jing*, Daozheng Hong, Yu Liu. Dual-domain Aligned Deep Hierarchical Matrix Factorization Method for Micro-video Multi-label Classification. IEEE Transactions on Multimedia, 2024,26: 2598-2607 [pdf] [bib]

  16. Fugui Fan, Peiguang Jing, Liqiang Nie, Haoyu Gu, Yuting Su*. SADCMF: Self-Attentive Deep Consistent Matrix Factorization for Micro-Video Multi-Label Classification. IEEE Transactions on Multimedia, 2024, 26: 10331-10341 [pdf] [bib]

  17. Peiguang Jing, Xianyi Liu, Lijuan Zhang, Yun Li, Yu Liu, Yuting Su. Multimodal Attentive Representation Learning for Micro-video Multi-label Classification. ACM Transactions on Multimedia Computing, Communications and Applications. 2024, 20(6): 182, pp 1-23. [pdf] [bib]

  18. Fangyu Zuo, Peiguang Jing, Jinglin Sun, Jizhong Duan, Yong Ji, Yu Liu. Deep Learning-based Eye-Tracking Analysis for Diagnosis of Alzheimer's Disease Using 3D Comprehensive Visual Stimuli, IEEE Journal of Biomedical and Health Informatics,2024,28(5): 2781-2793 [pdf] [bib]

  19. Yun Li, Xianyi Liu, Lijuan Zhang, Haoyu Tian, Peiguang Jing. Multimodal semantic enhanced representation network for micro-video event detection. Knowledge-Based Systems, 2024, 301: 112255. [pdf] [bib]

  20. Yuting Su, Weikang Wang, Jing Liu, Peiguang Jing. Collaborative spatial-temporal video salient object detection with cross attention transformer. Signal Processing, 2024, 224: 109612. [pdf] [bib]

  21. Huaiyan Jiang, Han Wang, T Pan, Y Liu, P Jing, Y Liu. Mobile Application and Machine Learning-Driven Scheme for Intelligent Diabetes Progression Analysis and Management Using Multiple Risk Factors. Bioengineering, 2024, 11(11): 1053. [pdf] [bib]

  22. Fugui Fan, Yuting Su, Yun Liu*, Peiguang Jing, Kaihua Qu, Yu Liu. Multimodal deep hierarchical semantic-aligned matrix factorization method for micro-video multi-label classification. Information Processing & Management, 2024, 61(5): 103798. [pdf] [bib]

  23. Jing Liu, Lele Sun, Weizhi Nie, Peiguang Jing, Yuting Su. Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation. In Proceedings of the AAAI Conference on Artificial Intelligence. 2024, 38(8): 8769-8777. [pdf]

  24. Wei Lu, Jiaxin Lin, Peiguang Jing*, Yuting Su. A Multimodal Aggregation Network With Serial Self-Attention Mechanism for Micro-Video Multi-Label Classification. IEEE Signal Processing Letters, 2023, 30: 60-64. [pdf] [code][bib]

  25. Yuting Su, Wei Zhao, Peiguang Jing*, Liqiang Nie. Exploiting Low-rank Latent Gaussian Graphical Model Estimation for Visual Sentiment Distribution. IEEE Transactions on Multimedia, 2023, 25: 1243-1255 [pdf] [code][bib]

  26. Wei Lu, Desheng Li, Liqiang Nie, Peiguang Jing*, Yuting Su. Learning Dual Low-rank Representation for Multi-label Micro-video Classification. IEEE Transactions on Multimedia, 2023, 25:77-89 [pdf] [bib]

  27. Peiguang Jing, Xianyi Liu, Ji Wang, Yinwei Wei, Liqiang Nie, Yuting Su. StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning. In Proceedings of ACM International Conference on Multimedia. 2023: 853-861. [pdf] [code][bib]

  28. Wei Lu, Yang Jiang, Peiguang Jing, Jinghui Chu, Fugui Fan. A Novel Channel Pruning Approach based on Local Attention and Global Ranking for CNN Model Compression. In Proceedings of IEEE International Conference on Multimedia and Expo, 2023: 1433-1438. [pdf] [bib]

  29. Yun Li, Shuyi Liu, Xuejun Wang, Peiguang Jing*. Self-supervised deep partial adversarial network for micro-video multimodal classification. Information Sciences, 2023, 630: 356-369. [pdf] [code][bib]

  30. Yunpeng Yin, Han Wang, Shuai Liu, Peiguang Jing, Yu Liu. Internet of Things for Diagnosis of Alzheimer’s Disease: A Multimodal Machine Learning Approach Based on Eye Movement Features. IEEE Internet of Things Journal, 2023,10(13): 11476-11485 [pdf] [bib]

  31. Jinglin Sun, Zhipeng Wu, Han Wang, Peiguang Jing and Yu. Liu. A Novel Integrated Eye-Tracking System With Stereo Stimuli for 3-D Gaze Estimation, IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-15, 2023, [pdf] [bib]

  32. 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, 2022, 24: 1277-1287. (中科院分区Top期刊) [pdf] [bib]

  33. Jinglin Sun, Yu Liu, Hao Wu, Peiguang Jing*, Yong Ji. A novel deep learning approach for diagnosing Alzheimer's disease based on eye-tracking data. Frontiers in Human Neuroscience, 2022,16: 01-12 [pdf] [bib]

  34. 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, 23: 2259-2272 (中科院分区Top期刊) [pdf] [bib]

  35. 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) [pdf] [bib]

  36. Yuting Su, Junyu Xu, Daozheng Hong, Fugui Fan, Jing Zhang*, Peiguang Jing. Deep low-rank matrix factorization with latent correlation estimation for micro-video multi-label classification. Information Sciences, 2021, 575: 587-598. [pdf] [bib]

  37. Jing Liu, Xin Wen, Weizhi Nie, Yuting Su, Peiguang Jing, Xiaokang Yang. Residual-guided multiscale fusion network for bit-depth enhancement. IEEE Transactions on Circuits and Systems for Video Technology, 2021, 32(5): 2773-2786. [pdf] [code][bib]

  38. Fugui Fan, Yuting Su, Peiguang Jing, Wei Lu*. A dual rank-constrained filter pruning approach for convolutional neural networks. IEEE Signal Processing Letters, 2021, 28: 1734-1738. [pdf] [bib]

  39. Xiao Jin, Peiguang Jing, Jiesheng Wu, Jing Xu, Yuting Su. Visual Sentiment Classification via Low-rank Regularization and Label Relaxation. IEEE Transactions on Cognitive and Developmental Systems, 2021, 14 (4): 1678-1690. [pdf] [bib]

  40. Jinghui Chu, Jiawei Feng, Peiguang Jing, Wei Lu. Joint Co-Attention And Co-Reconstruction Representation Learning For One-Shot Object Detection. In Proceedings of IEEE International Conference on Image Processing, 2021: 2229-2233. [pdf] [bib]

  41. Wenjie Wang, Lingyu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie. Market2Dish: health-aware food recommendation. ACM Transactions on Multimedia Computing, Communications, and Applications, 2021, 17(1): 1-19. [pdf] [code][bib]

  42. 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) [pdf] [bib]

  43. 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, 27: 740-744. [pdf] [bib]

  44. 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) [pdf] [bib]

  45. 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) [pdf] [bib]

  46. 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) [pdf] [bib]

  47. 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. [pdf] [bib]

  48. 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) [pdf] [bib]

  49. 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) [pdf] [bib]

  50. Xue Dong, Xuemeng Song, Fuli Feng, Peiguang Jing, Xin-Shun Xu, Liqiang Nie. Personalized Capsule Wardrobe Creation with Garment and User Modeling. In Proceedings of ACM International Conference on Multimedia, 2019: 302-310. [pdf] [bib]

  51. 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. (ESI高被引) [pdf] [bib]

  52. Anan Liu, Yingdi Shi, Peiguang Jing*, Jing Liu, Yuting Su. Structured Low-rank Inverse-covariance Estimation for Visual Sentiment Distribution Prediction. Signal Processing, 2018, 152: 206-216. [pdf] [bib]

  53. Jing Zhang, Xinhui Li, Peiguang Jing*, Jing Liu, Yuting Su. Low-rank regularized heterogeneous tensor decomposition for subspace clustering, IEEE Signal Processing Letters, 2018, 25 (3), 333-337. [pdf] [bib]

  54. Jizhong Duan, Yu Liu, Peiguang Jing. Efficient operator splitting algorithm for joint sparsity-regularized SPIRiT-based parallel MR imaging reconstruction[J]. Magnetic Resonance Imaging, 2018, 46: 81-89. [pdf] [bib]

  55. Luming Zhang, Peiguang Jing#, Yuting Su, Chao Zhang, Ling Shao. SnapVideo: Personalized Video Generation for a Sightseeing Trip. IEEE Transactions on Cybernetics, 2017 47 (11), 3866-3878. (中科院分区Top期刊) [pdf] [bib]

  56. 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) [pdf] [code][bib]

  57. Jing Zhang, Chuanzhong Xu, Peiguang Jing, Yuting Su*. A tensor-driven temporal correlation model for video sequence classification. IEEE Signal Processing Letters, 2016, 23(9): 1246-1249. [pdf] [bib]

  58. Yanwei Pang, Zhong Ji*, Peiguang Jing, Xuelong Li. Ranking graph embedding for learning to rerank. IEEE Transactions on Neural Networks and Learning Systems, 2013, 24(8): 1292-1303. [pdf] [bib]

  59. 褚晶辉,史李栋,井佩光,吕卫.适用于目标检测的上下文感知知识蒸馏网络.浙江大学学报(工学版),2022,56(03):503-509.

  60. 井佩光,李亚鑫,苏育挺.一种多模态特征编码的短视频多标签分类方法.西安电子科技大学学报,2022,49(04):109-117.

  61. 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.北京航空航天大学学报，2021，47(03)：478-485. [pdf]

  62. 李云,卢志翔,刘姝伊,王粟,吕梓民,井佩光.基于深度多模态关联学习的短视频多标签分类研究[J].数据分析与知识发现,2024,8(07):77-88. [pdf]

  63. 吕卫,韩镓泽,褚晶辉,井佩光.基于多模态自注意力网络的视频记忆度预测[J].吉林大学学报(工学版),2023,53(04):1211-1219. [pdf]

  64. 苏育挺,王骥,赵玮,井佩光.基于动态图卷积的图像情感分布预测[J].吉林大学学报(工学版),2023,53(09):2601-2610. [pdf]

  65. 苏育挺,王富铕,井佩光.深度多模态不确定度的短视频事件检测方法[J].哈尔滨工业大学学报,2024,56(05):36-45.

  66. 井佩光,田雨豆,汪少初,李云,苏育挺.基于动态扩散图卷积的交通流量预测算法[J].吉林大学学报(工学版),2024,54(06):1582-1592. [pdf]

  67. 李云,孙山林,黄晴,井佩光.基于多路混合注意力机制的水下图像增强网络[J].电子与信息学报,2024,46(01):118-128. [pdf]

  68. 苏育挺,景梦瑶,井佩光,刘先燚.基于光度立体和深度学习的电池缺陷检测方法[J].吉林大学学报(工学版),2024,54(12):3653-3659. [pdf]

    69. Show More
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    完整论文目录见Google学术

  1. Junfu Tan, Peiguang Jing, etc. ICCV2025 | MPBR: Multimodal Progressive Bidirectional Reasoning for Open-Set Fine-Grained Recognition [pdf] [code] [bib]

  2. Yun Liu, Zhipeng Wen, Leida Li, Peiguang Jing, Daoxin Fan. MIGF-Net: Multimodal interaction-guided fusion network for image aesthetics assessment [J]. Pattern Recognition, 2026, 172: 112401. [pdf] [code] [bib]

  3. Wei Lu, He Zhao, Dubuke Ma, Peiguang Jing, LUFormer: A luminance-informed localized transformer with frequency augmentation for nighttime flare removal, Neural Networks, Volume 190, 2025, 107660, ISSN 0893-6080. [pdf] [code] [bib]

  4. Yuting Su, Enqi Su, Weiming Wang, Peiguang Jing, Dubuke Ma, Fu Lee Wang. Adversarial neighbor perception network with feature distillation for anomaly detection[J]. Expert Systems with Applications, 2025, 274: 126911. [pdf] [code] [bib]

  5. Yu Qiao, Wei Lu, Peiguang Jing, Weiming Wang, Yuting Su. Multimodal Dual-Graph Collaborative Network With Serial Attentive Aggregation Mechanism for Micro-Video Multi-Label Classification[J]. IEEE Transactions on Multimedia, 2025. [pdf] [code] [bib]

  6. Chen Zhao, Mengyuan Yu, Fan Yang, Peiguang Jing. VIIS: Visible and Infrared Information Synthesis for Severe Low-Light Image Enhancement. In Proceedings of IEEE/CVF Winter Conference on Applications of Computer Vision, 2025: 2174-2184. [pdf] [code] [bib]

  7. Yuting Su, Peng Ma, Weiming Wang, Shaochu Wang, Yuting Wu, Yun Li, Peiguang Jing. AMDANet: Augmented Multi-scale Difference Aggregation Network for Image Change Detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025. 63,5616012 [pdf] [code] [bib]

  1. Wei Lu, Yujia Zhai, Jiaze Han, Peiguang Jing*, Yu Liu, Yuting Su. VMemNet: A Deep Collaborative Spatial-Temporal Network with Attention Representation for Video Memorability Prediction. IEEE Transactions on Multimedia, 2024, 26: 4926-4937 [pdf] [bib]

  2. Peiguang Jing, Haoyi Sun, Liqiang Nie, Yun Li*, Yuting Su. Deep Multi-modal Hashing with Semantic Enhancement for Multi-label Micro-video Retrieval, IEEE Transactions on Knowledge and Data Engineering, 2024,36(10): 5080-5091 [pdf] [code][bib]

  3. Peiguang Jing, Kai Cui, Weili Guan, Liqiang Nie, Yuting Su. Category-aware Multimodal Attention Network for Fashion Compatibility Modeling. IEEE Transactions on Multimedia, 2024.25: 9120-9131 [pdf] [bib]

  4. Peiguang Jing, Xuan Zhao, Fugui Fan, Fan Yang, Yun Li, Yuting Su. Multimodal Progressive Modulation Network for Micro-video Multi-label Classification. IEEE Transactions on Multimedia, 2024.26: 10134-10144 [pdf] [bib]

  5. Peiguang Jing, Kai Zhang, Xianyi Liu, Yun Li, Yu Liu, Yuting Su. Dual Preference Perception Network for Fashion Recommendation in the Social Internet of Things. IEEE Internet of Things Journal, 2024, 11(5): 7893-7903 [pdf] [code][bib]

  6. Peiguang Jing, Kai Cui, Jing Zhang, Yun Li*, Yuting Su. Multimodal High-order Relationship Inference Network for Fashion Compatibility Modeling in Internet of Multimedia Things[J]. IEEE Internet of Things Journal, 2024,11(1): 353–365 [pdf] [bib]

  7. Peiguang Jing, Xiaoyu Liu, Xuehui Wang, Yuting Su. Deep Matrix Factorization with Complementary Semantic Aggregation for Micro-Video Multi-Label Classification. IEEE Signal Processing Letters, 2024,31: 1685-1689 [pdf] [bib]

  8. Fugui Fan, Yuting Su, Liqiang Nie, Peiguang Jing*, Daozheng Hong, Yu Liu. Dual-domain Aligned Deep Hierarchical Matrix Factorization Method for Micro-video Multi-label Classification. IEEE Transactions on Multimedia, 2024,26: 2598-2607 [pdf] [bib]

  9. Fugui Fan, Peiguang Jing, Liqiang Nie, Haoyu Gu, Yuting Su*. SADCMF: Self-Attentive Deep Consistent Matrix Factorization for Micro-Video Multi-Label Classification. IEEE Transactions on Multimedia, 2024, 26: 10331-10341 [pdf] [bib]

  10. Peiguang Jing#, Xianyi Liu#, Lijuan Zhang, Yun Li, Yu Liu, Yuting Su. Multimodal Attentive Representation Learning for Micro-video Multi-label Classification. ACM Transactions on Multimedia Computing, Communications and Applications. 2024, 20(6): 182, pp 1-23. [pdf] [bib]

  11. Fangyu Zuo, Peiguang Jing, Jinglin Sun, Jizhong Duan, Yong Ji, Yu Liu. Deep Learning-based Eye-Tracking Analysis for Diagnosis of Alzheimer's Disease Using 3D Comprehensive Visual Stimuli, IEEE Journal of Biomedical and Health Informatics,2024,28(5): 2781-2793 [pdf] [bib]

  12. Yun Li, Xianyi Liu, Lijuan Zhang, Haoyu Tian, Peiguang Jing. Multimodal semantic enhanced representation network for micro-video event detection. Knowledge-Based Systems, 2024, 301: 112255. [pdf] [bib]

  13. Yuting Su, Weikang Wang, Jing Liu, Peiguang Jing. Collaborative spatial-temporal video salient object detection with cross attention transformer. Signal Processing, 2024, 224: 109612. [pdf] [bib]

  14. Huaiyan Jiang, Han Wang, T Pan, Y Liu, P Jing, Y Liu. Mobile Application and Machine Learning-Driven Scheme for Intelligent Diabetes Progression Analysis and Management Using Multiple Risk Factors. Bioengineering, 2024, 11(11): 1053. [pdf] [bib]

  15. Fugui Fan, Yuting Su, Yun Liu*, Peiguang Jing, Kaihua Qu, Yu Liu. Multimodal deep hierarchical semantic-aligned matrix factorization method for micro-video multi-label classification. Information Processing & Management, 2024, 61(5): 103798. [pdf] [bib]

  16. Jing Liu, Lele Sun, Weizhi Nie, Peiguang Jing, Yuting Su. Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation. In Proceedings of the AAAI Conference on Artificial Intelligence. 2024, 38(8): 8769-8777. [pdf]

  1. Wei Lu, Jiaxin Lin, Peiguang Jing*, Yuting Su. A Multimodal Aggregation Network With Serial Self-Attention Mechanism for Micro-Video Multi-Label Classification. IEEE Signal Processing Letters, 2023, 30: 60-64. [pdf] [code][bib]

  2. Yuting Su, Wei Zhao, Peiguang Jing*, Liqiang Nie. Exploiting Low-rank Latent Gaussian Graphical Model Estimation for Visual Sentiment Distribution. IEEE Transactions on Multimedia, 2023, 25: 1243-1255 [pdf] [code][bib]

  3. Wei Lu, Desheng Li, Liqiang Nie, Peiguang Jing*, Yuting Su. Learning Dual Low-rank Representation for Multi-label Micro-video Classification. IEEE Transactions on Multimedia, 2023, 25:77-89 [pdf] [bib]

  4. Peiguang Jing, Xianyi Liu, Ji Wang, Yinwei Wei, Liqiang Nie, Yuting Su. StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning. In Proceedings of ACM International Conference on Multimedia. 2023: 853-861. [pdf] [code][bib]

  5. Wei Lu, Yang Jiang, Peiguang Jing, Jinghui Chu, Fugui Fan. A Novel Channel Pruning Approach based on Local Attention and Global Ranking for CNN Model Compression. In Proceedings of IEEE International Conference on Multimedia and Expo, 2023: 1433-1438. [pdf] [bib]

  6. Yun Li, Shuyi Liu, Xuejun Wang, Peiguang Jing*. Self-supervised deep partial adversarial network for micro-video multimodal classification. Information Sciences, 2023, 630: 356-369. [pdf] [code][bib]

  7. Yunpeng Yin, Han Wang, Shuai Liu, Peiguang Jing, Yu Liu. Internet of Things for Diagnosis of Alzheimer’s Disease: A Multimodal Machine Learning Approach Based on Eye Movement Features. IEEE Internet of Things Journal, 2023,10(13): 11476-11485 [pdf] [bib]

  8. Jinglin Sun, Zhipeng Wu, Han Wang, Peiguang Jing and Yu. Liu. A Novel Integrated Eye-Tracking System With Stereo Stimuli for 3-D Gaze Estimation, IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-15, 2023, [pdf] [bib]

  1. 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, 2022, 24: 1277-1287. (中科院分区Top期刊) [pdf] [bib]

  2. Jinglin Sun, Yu Liu, Hao Wu, Peiguang Jing*, Yong Ji. A novel deep learning approach for diagnosing Alzheimer's disease based on eye-tracking data. Frontiers in Human Neuroscience, 2022,16: 01-12 [pdf] [bib]

  3. 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, 23: 2259-2272 (中科院分区Top期刊) [pdf] [bib]

  4. 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) [pdf] [bib]

  5. Yuting Su, Junyu Xu, Daozheng Hong, Fugui Fan, Jing Zhang*, Peiguang Jing. Deep low-rank matrix factorization with latent correlation estimation for micro-video multi-label classification. Information Sciences, 2021, 575: 587-598. [pdf] [bib]

  6. Jing Liu, Xin Wen, Weizhi Nie, Yuting Su, Peiguang Jing, Xiaokang Yang. Residual-guided multiscale fusion network for bit-depth enhancement. IEEE Transactions on Circuits and Systems for Video Technology, 2021, 32(5): 2773-2786. [pdf] [code][bib]

  7. Fugui Fan, Yuting Su, Peiguang Jing, Wei Lu*. A dual rank-constrained filter pruning approach for convolutional neural networks. IEEE Signal Processing Letters, 2021, 28: 1734-1738. [pdf] [bib]

  8. Xiao Jin, Peiguang Jing, Jiesheng Wu, Jing Xu, Yuting Su. Visual Sentiment Classification via Low-rank Regularization and Label Relaxation. IEEE Transactions on Cognitive and Developmental Systems, 2021, 14 (4): 1678-1690. [pdf] [bib]

  9. Jinghui Chu, Jiawei Feng, Peiguang Jing, Wei Lu. Joint Co-Attention And Co-Reconstruction Representation Learning For One-Shot Object Detection. In Proceedings of IEEE International Conference on Image Processing, 2021: 2229-2233. [pdf] [bib]

  10. Wenjie Wang, Lingyu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie. Market2Dish: health-aware food recommendation. ACM Transactions on Multimedia Computing, Communications, and Applications, 2021, 17(1): 1-19. [pdf] [code][bib]

  11. 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) [pdf] [bib]

  12. 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, 27: 740-744. [pdf] [bib]

  13. 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) [pdf] [bib]

  14. 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) [pdf] [bib]

  15. 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) [pdf] [bib]

  16. 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. [pdf] [bib]

  17. 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) [pdf] [bib]

  18. 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) [pdf] [bib]

  19. Xue Dong, Xuemeng Song, Fuli Feng, Peiguang Jing, Xin-Shun Xu, Liqiang Nie. Personalized Capsule Wardrobe Creation with Garment and User Modeling. In Proceedings of ACM International Conference on Multimedia, 2019: 302-310. [pdf] [bib]

  20. 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. (ESI高被引) [pdf] [bib]

  21. Anan Liu, Yingdi Shi, Peiguang Jing*, Jing Liu, Yuting Su. Structured Low-rank Inverse-covariance Estimation for Visual Sentiment Distribution Prediction. Signal Processing, 2018, 152: 206-216. [pdf] [bib]

  22. Jing Zhang, Xinhui Li, Peiguang Jing*, Jing Liu, Yuting Su. Low-rank regularized heterogeneous tensor decomposition for subspace clustering, IEEE Signal Processing Letters, 2018, 25 (3), 333-337. [pdf] [bib]

  23. Jizhong Duan, Yu Liu, Peiguang Jing. Efficient operator splitting algorithm for joint sparsity-regularized SPIRiT-based parallel MR imaging reconstruction[J]. Magnetic Resonance Imaging, 2018, 46: 81-89. [pdf] [bib]

  24. Luming Zhang, Peiguang Jing#, Yuting Su, Chao Zhang, Ling Shao. SnapVideo: Personalized Video Generation for a Sightseeing Trip. IEEE Transactions on Cybernetics, 2017 47 (11), 3866-3878. (中科院分区Top期刊) [pdf] [bib]

  25. 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) [pdf] [code][bib]

  26. Jing Zhang, Chuanzhong Xu, Peiguang Jing, Yuting Su*. A tensor-driven temporal correlation model for video sequence classification. IEEE Signal Processing Letters, 2016, 23(9): 1246-1249. [pdf] [bib]

  27. Yanwei Pang, Zhong Ji*, Peiguang Jing, Xuelong Li. Ranking graph embedding for learning to rerank. IEEE Transactions on Neural Networks and Learning Systems, 2013, 24(8): 1292-1303. [pdf] [bib]

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学术兼职

学会会员：
  • IEEE计算机学会
  • 中国电子学会
  • 中国图象图形学学会
国际SCI期刊的客座编委：
  • Information Processing & Management
  • Multimedia Tools and Applications
国际一流期刊或审稿人：
  • IEEE TPAMI/TNNLS/TIP/TGRS/TKDE/TMM/TCSVT/TCYB/SPL
  • ACM TWEB/TOMM/MM
  • ACM TWEB/TOMM/TIS/Inforamtion Sciences/IPM/Information Fusion/Neural Networks/Pattern Recognition/Science in China: Information Science/中国科学：技术科学
会议：
  • ICCV/NIPS/AAAI/MM

 

通讯信息

    E-mail：pgjing@tju.edu.cn

    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，天津300072，中国

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