pgjing@tju.edu.cn
天津市南开区卫津路92号

 

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

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与信息工程学院副教授，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。累计获批国家级、省部级、企业委托课题等课题10余项，其中与中央电视总台旗下的新媒体栏目组《玉渊天谭》持续开展节目的视频内容累计获得千万级点赞量及亿级播放量。

  • 研究内容覆盖短视频多维内容理解与分析、多源图像增强与鲁棒异常检测、医学影像处理与精准疗诊等方向，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2000次。

  • 担任中国计算机学会及中国图象图形学会会员，连续多年担任多媒体领域顶级国际会议ACM MM程序委员会成员，ACM MM 2023多模态信息检索Workshop的共同组织者, 担任SCI一区期刊Information Processing & Management客座编辑，担任IEEE TPAMI / TIP / TMM / TCSVT / TNNLS / TCYB / TGRS / TASE / SP等40多种国际知名期刊和会议的审稿人，获得SCI期刊Neurocomputing及Journal of Visual Communication of Image Representation的优秀审稿人称号。

  • 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。。

    • 课题组招收2026年硕士研究生与本科生，欢迎同学邮件联系!（邮箱：pgjing@tju.edu.cn）

 

研究方向

  • 短视频多维内容理解与分析：课题研究以短视频多模态表征学习与融合机制为主轴，聚焦于短视频内容的深层语义理解与精准分发管理两个核心维度，研究内容涵盖短视频记忆度预测、短视频多标签分类、短视频情感分析、短视频个性化推荐等多个核心技术。

  • 多源图像增强与鲁棒异常检测：课题研究立足于复杂环境场景下视觉信息的质量提升与异常模式的精准识别两个关键维度，研究内容涵盖低照度图像增强、水下异常检测、多源图像融合、工业异常监测。

  • 医学影像处理与精准诊疗：课题研究针对临床医学和人工智能和深度交叉应用，旨在通过多模态感知与表征辅助医疗决策，研究内容涵盖术后疼痛评估、低造影剂图像增强、精准营养推荐、退行性神经疾病筛查及康复。

  • 应用导向的多媒体系统工程：致力于多模态数据挖掘与智能分析算法的落地实践，提供解决行业痛点的工程方案，与中央广播电视总台、中国移动通信集团设计院、中电信人工智能科技、中兴通讯、宝盈智能等知名机构构建长期稳定的合作关系。

 

科研项目

  1. 应急管理部天津消防研究所，基于大型语言模型的火灾分析研判报告知识图谱构建与推理算法研究，2026.1-2026.12，主持。

  2. 唐山市宝盈智能设备有限公司，欢乐搭档双人互动数字人，2026.1-2026.12，主持。

  3. 核电安全技术与装备全国重点实验室，基于多模态数据融合的核电安全异常检测研究，2025.03-2027.02，主持。

  4. 视觉感知与智能分析福建省高等学校应用技术工程中心，视觉感知增强下的异常缺陷检测研究，2025.01-2026.12。

  5. 春水学科建设基金，AI 图像技术在医疗器械上的应用，2024.04-2025.12，主持。

  6. 天津大学自主创新基金，运动-认知协同康复方法与多模人机耦合康复机器人的研发及验证，2024.01-2024.12， 主持。

  7. 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。

  8. 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。

  9. 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。

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

  11. 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。

  12. 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。

  13. 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。

  14. 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。

  15. 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
2026
2025
2024
2023
2022
2021
2020
2019
2018及以前
中文期刊
所选论文的bib已复制 !

  1. Wenlin Zhang, Peiguang Jing, Xin Li, Yong Ji, Yu Liu, Sun-Yuan Kung. MSSFN: Multi-stimulus stereo spatiotemporal fusion network with pattern disentanglement for Alzheimer’s disease diagnosis. Information Processing & Management, 2026, 63(6): 104718. (中科院SCI一区TOP，IF=8.6) [pdf] [bib]

  2. Yun Liu, Sifan Li, Daoxin Fan, Huiyu Duan, Peiguang Jing, Guanghui Yue, Guangtao Zhai. TFFN: Three-branch Feature Fusion Network for Stereoscopic Omnidirectional Image Quality Assessment. IEEE Transactions on Multimedia, 2026. (CCF A类国际期刊，中科院SCI一区TOP，IF=9.7) [pdf] [bib]

  3. Yuting Wu, Longyong Chen, Peiguang Jing, Wenjie Li, Chang Huan, Zhijun Li. Preliminary Analysis of Ground Subsidence in the Linfen-Yuncheng Basin Based on Sentinel-1A and Radarsat-2 Time-Series InSAR. Remote Sensing, 2026, 18(3): 424. [bib]

  4. Yun Liu, Zhipeng Wen, Leida Li, Peiguang Jing*, Daoxin Fan. MIGF-Net: Multimodal Interaction-Guided Fusion Network for Image Aesthetics Assessment. Pattern Recognition, 2026, 172: 112401. (中科院SCI一区TOP，IF=7.6) [pdf] [bib]

  5. Fugui Fan, Yuting Su, Peiguang Jing, Xiaoyu Liu, Zijing Wan. A heterogeneous deep consistent matrix factorization method for micro-video multi-label classification. Neurocomputing, 2025: 131759.

  6. Junfu Tan, Peiguang Jing, Yu Zhu, Yu Liu. MPBR: Multimodal Progressive Bidirectional Reasoning for Open-Set Fine-Grained Recognition. Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025: 1282-1291. (CCF A类国际会议) [pdf] [bib]

  7. Ting Pan, Ye Wang, Peiguang Jing, Rui Ma, Zili Yi, Yu Liu. PairHuman: A High-Fidelity Photographic Dataset for Customized Dual-Person Generation. Information Fusion, 2025, 129: 103984. (中科院SCI一区TOP，IF=15.5) [pdf] [bib]

  8. Yun Li, Ningyuan Zhao, Xue Yang, Liping Luo, Peiguang Jing. RSDC-Net: Robust self-supervised dynamic collaboration network for infrared and visible image fusion. Knowledge-Based Systems, 2025, 330: 114541. (中科院SCI一区TOP，IF=7.6) [pdf] [bib]

  9. Fan Yang, Peiguang Jing*, Weiming Wang*, Fu Lee Wang, Yuting Su. PADNet: Progressive-Difference-Aware Feature Reconstruction Mechanism for Anomaly Detection. IEEE Transactions on Multimedia, 2025, 27: 9125-9135. (中科院SCI一区TOP，IF=9.7) [bib]

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

  11. Yuting Su, Enqi Su, Weiming Wang*, Peiguang Jing*, Dubuke Ma, Fu Lee Wang. Adversarial neighbor perception network with feature distillation for anomaly detection. Expert Systems with Applications, 2025, 274: 126911. (中科院SCI一区TOP，IF=7.5) [pdf] [code] [bib]

  12. 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. IEEE Transactions on Multimedia, 2025, 27: 5758-5769. (中科院SCI一区TOP，IF=9.7) [pdf] [code] [bib]

  13. 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. IEEE Transactions on Geoscience and Remote Sensing, 2025, 63: 5616012. (中科院SCI一区TOP，IF=8.6) [pdf] [code] [bib]

  14. Ning Li, Dejian Li, Zhipeng Wu, Peiguang Jing, Sio Hang Pun, Yu Liu. SubMap: A Partial Mapping Strategy for CGRA Based on sub-CGRA Exploration. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2025, 44(7): 2827-2831. (CCF A类国际期刊) [pdf] [bib]

  15. 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]

  16. 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. (中科院SCI一区TOP，IF=7.6) [pdf] [bib]

  17. 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. (中科院SCI一区TOP，IF=6.9) [pdf] [bib]

  18. 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. (中科院SCI一区TOP，IF=9.7) [pdf] [bib]

  19. 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. (中科院SCI一区TOP，IF=9.7) [pdf] [bib]

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

  21. 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] [code] [bib]

  22. 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]

  23. Yun Li, Fan Yang, Yudou Tian, Xuejun Wang, Qi Chen, Peiguang Jing*. Collaborative representation based cross-domain semantic transfer for vehicle re-identification. Neurocomputing, 2024, 567: 127039. [pdf] [bib]

  24. 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. (CCF A类国际期刊，中科院SCI一区TOP，IF=10.4) [pdf] [code] [bib]

  25. 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. (中科院SCI一区TOP，IF=9.7) [pdf] [code] [bib]

  26. 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. (中科院SCI一区TOP，IF=8.9) [pdf] [code] [bib]

  27. 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. (中科院SCI一区TOP，IF=9.7) [pdf] [bib]

  28. 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. IEEE Internet of Things Journal, 2024, 11(1): 353-365. (中科院SCI一区TOP，IF=8.9) [pdf] [bib]

  29. Peiguang Jing, Xianyi Liu, Ji Wang, Yinwei Wei, Liqiang Nie, Yuting Su. StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning. Proceedings of ACM International Conference on Multimedia, 2023: 853-861. (CCF A类国际会议) [pdf] [code] [bib]

  30. 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. Proceedings of IEEE International Conference on Multimedia and Expo, 2023: 1433-1438. [pdf] [bib]

  31. 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. (中科院SCI一区TOP，IF=8.1) [pdf] [code] [bib]

  32. Peiguang Jing, Kai Cui, Weili Guan, Liqiang Nie, Yuting Su. Category-aware Multimodal Attention Network for Fashion Compatibility Modeling. IEEE Transactions on Multimedia, 2023, 25: 9120-9131. (中科院SCI一区TOP，IF=8.4) [pdf] [bib]

  33. 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. (中科院SCI一区TOP，IF=8.2) [pdf] [bib]

  34. 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, 2023, 72: 1-15. [pdf] [bib]

  35. Yuting Su, Wei Zhao, Peiguang Jing*, Liqiang Nie. Exploiting Low-Rank Latent Gaussian Graphical Model Estimation for Visual Sentiment Distributions. IEEE Transactions on Multimedia, 2023, 25: 1243-1255. (中科院SCI一区TOP，IF=8.4) [pdf] [code] [bib]

  36. 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. (中科院SCI一区TOP，IF=8.4) [pdf] [bib]

  37. 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SCI一区TOP，IF=7.3) [pdf] [bib]

  38. Peiguang Jing, Yaxin Li, Xinhui Li, Yuting Wu, Yuting Su*. Joint Nuclear-and ℓ2,1-norm Regularized Heterogeneous Tensor Decomposition for Robust Classification. Neurocomputing, 2021, 464: 317-329. [pdf] [bib]

  39. 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. (中科院SCI一区TOP，IF=8.1) [pdf] [bib]

  40. 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. (中科院SCI一区TOP，IF=8.4) [pdf] [code] [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): 33, pp 1-19. [pdf] [code] [bib]

  42. 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SCI一区TOP，IF=7.3) [pdf] [bib]

  43. 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SCI一区TOP，IF=8.1) [pdf] [bib]

  44. 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SCI一区TOP，IF=6.5) [pdf] [bib]

  45. Xue Dong, Xuemeng Song, Fuli Feng, Peiguang Jing, Xin-Shun Xu, Liqiang Nie. Personalized Capsule Wardrobe Creation with Garment and User Modeling. Proceedings of ACM International Conference on Multimedia, 2019: 302-310. (CCF A类国际会议) [pdf] [bib]

  46. Yuting Su, Wanning Su, Jing Liu, Guotao Zhai, Peiguang Jing. Photo-realistic image bit-depth enhancement via residual transposed convolutional neural network. Neurocomputing, 2019, 347: 200-211. [pdf] [bib]

  47. 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. (CCF A类国际期刊，中科院SCI一区TOP，IF=4.4) [pdf] [bib]

  48. 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高被引论文) [pdf] [bib]

  49. 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]

  50. 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SCI一区TOP，IF=6.1) [pdf] [bib]

  51. 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SCI一区TOP，IF=9.9) [pdf] [bib]

  52. 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SCI一区TOP，IF=11.1) [pdf] [bib]

  53. Jinghui Chu, Huimin Gu, Yuting Su, Peiguang Jing*. Towards a sparse low-rank regression model for memorability prediction of images. Neurocomputing, 2018, 321:357-368. [pdf] [bib]

  54. 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. (CCF A类国际期刊，中科院SCI一区TOP，IF=4.6，ESI高被引论文) [pdf] [bib]

  55. 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]

  56. Peiguang Jing, Yuting Su, Chuanzhong Xu, Luming Zhang. HyperSSR: A Hypergraph Based Semi-supervised Ranking Method for Visual Search Reranking. Neurocomputing, 2018, 274: 50-57. [pdf] [bib]

  57. 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. (CCF A类国际期刊，中科院SCI一区TOP，IF=11.8) [pdf] [bib]

  58. 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SCI一区TOP，IF=4.4) [pdf] [code][bib]

  59. 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. (中科院SCI一区TOP，IF=4.8) [pdf] [bib]

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    完整论文目录见Google学术

  1. Wenlin Zhang, Peiguang Jing, Xin Li, Yong Ji, Yu Liu, Sun-Yuan Kung. MSSFN: Multi-stimulus stereo spatiotemporal fusion network with pattern disentanglement for Alzheimer’s disease diagnosis. Information Processing & Management, 2026, 63(6): 104718. (中科院SCI一区TOP，IF=8.6) [pdf] [bib]

  2. Fan Yang, Peiguang Jing, Kaihua Qu, Ningyuan Zhao, Yuting Su. ABPolicy: Asynchronous B-Spline Flow Policy for Real-Time and Smooth Robotic Manipulation. arXiv preprint, 2026: arXiv:2602.23901. [pdf] [bib]

  3. Yun Liu, Sifan Li, Daoxin Fan, Huiyu Duan, Peiguang Jing, Guanghui Yue, Guangtao Zhai. TFFN: Three-branch Feature Fusion Network for Stereoscopic Omnidirectional Image Quality Assessment. IEEE Transactions on Multimedia, 2026. (CCF A类国际期刊，中科院SCI一区TOP，IF=9.7) [pdf] [bib]

  4. Yuting Wu, Longyong Chen, Peiguang Jing, Wenjie Li, Chang Huan, Zhijun Li. Preliminary Analysis of Ground Subsidence in the Linfen-Yuncheng Basin Based on Sentinel-1A and Radarsat-2 Time-Series InSAR. Remote Sensing, 2026, 18(3): 424. [bib]

  5. Kai Hu, Peiguang Jing, Renhe Liu, Bo Wei, Yu Liu. Efficient Learned Image Compression with Dual-space Aggregation Transformer. Digital Signal Processing, 2026, 170: 105797. [pdf] [bib]

  6. Yun Liu, Zhipeng Wen, Leida Li, Peiguang Jing*, Daoxin Fan. MIGF-Net: Multimodal Interaction-Guided Fusion Network for Image Aesthetics Assessment. Pattern Recognition, 2026, 172: 112401. (中科院SCI一区TOP，IF=7.6) [pdf] [bib]

  1. Fugui Fan, Yuting Su, Peiguang Jing, Xiaoyu Liu, Zijing Wan. A heterogeneous deep consistent matrix factorization method for micro-video multi-label classification. Neurocomputing, 2025: 131759.

  2. Junfu Tan, Peiguang Jing, Yu Zhu, Yu Liu. MPBR: Multimodal Progressive Bidirectional Reasoning for Open-Set Fine-Grained Recognition. Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025: 1282-1291. (CCF A类国际会议) [pdf] [bib]

  3. Ting Pan, Ye Wang, Peiguang Jing, Rui Ma, Zili Yi, Yu Liu. PairHuman: A High-Fidelity Photographic Dataset for Customized Dual-Person Generation. Information Fusion, 2025, 129: 103984. (中科院SCI一区TOP，IF=15.5) [pdf] [bib]

  4. Yun Li, Ningyuan Zhao, Xue Yang, Liping Luo, Peiguang Jing. RSDC-Net: Robust self-supervised dynamic collaboration network for infrared and visible image fusion. Knowledge-Based Systems, 2025, 330: 114541. (中科院SCI一区TOP，IF=7.6) [pdf] [bib]

  5. Fan Yang, Peiguang Jing*, Weiming Wang*, Fu Lee Wang, Yuting Su. PADNet: Progressive-Difference-Aware Feature Reconstruction Mechanism for Anomaly Detection. IEEE Transactions on Multimedia, 2025, 27: 9125-9135. (中科院SCI一区TOP，IF=9.7) [bib]

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

  7. Yuting Su, Enqi Su, Weiming Wang*, Peiguang Jing*, Dubuke Ma, Fu Lee Wang. Adversarial neighbor perception network with feature distillation for anomaly detection. Expert Systems with Applications, 2025, 274: 126911. (中科院SCI一区TOP，IF=7.5) [pdf] [code] [bib]

  8. Heng Cao, Zhipeng Wu, Dejian Li, Peiguang Jing, Sio Hang Pun, Yu Liu. Accelerating Control Flow on CGRAs via Speculative Iteration Execution. IEEE Computer Architecture Letters, 2025, 24(1): 109-112. [pdf] [bib]

  9. 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. IEEE Transactions on Multimedia, 2025, 27: 5758-5769. (中科院SCI一区TOP，IF=9.7) [pdf] [code] [bib]

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

  11. 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. IEEE Transactions on Geoscience and Remote Sensing, 2025, 63: 5616012. (中科院SCI一区TOP，IF=8.6) [pdf] [code] [bib]

  12. Ning Li, Dejian Li, Zhipeng Wu, Peiguang Jing, Sio Hang Pun, Yu Liu. SubMap: A Partial Mapping Strategy for CGRA Based on sub-CGRA Exploration. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2025, 44(7): 2827-2831. (CCF A类国际期刊) [pdf] [bib]

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  1. Bin Yuan, Weiheng Yao, Peiguang Jing, Jing Zhang, Kim Fung Tsang, Shuqiang Wang. Context-aware focal alignment network for micro-video multi-label classification. Pattern Analysis and Applications, 2024, 27(4): 150.

  2. 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]

  3. Huaiyan Jiang, Han Wang, Ting Pan, Yuhang Liu, Peiguang Jing, Yu 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]

  4. 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. (中科院SCI一区TOP，IF=7.6) [pdf] [bib]

  5. 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. (中科院SCI一区TOP，IF=6.9) [pdf] [bib]

  6. Fugui Fan, Yuting Su, Yun Liu, Peiguang Jing, Kaihua Qu. A deep low-rank semantic factorization method for micro-video multi-label classification. Multimedia Systems, 2024, 30(4): 236. [bib]

  7. 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. (中科院SCI一区TOP，IF=9.7) [pdf] [bib]

  8. 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. (中科院SCI一区TOP，IF=9.7) [pdf] [bib]

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

  10. Yu Liu, Wenlin Zhang, Shaochu Wang, Fangyu Zuo, Peiguang Jing, Yong Ji. Depth-induced Saliency Comparison Network for Diagnosis of Alzheimer's Disease via Jointly Analysis of Visual Stimuli and Eye Movements. arXiv preprint, 2024: arXiv:2403.10124. [pdf] [bib]

  11. 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] [code] [bib]

  12. Weikang Wang, Yuting Su, Jing Liu, Peiguang Jing. Adaptive proposal network based on generative adversarial learning for weakly supervised temporal sentence grounding. Pattern Recognition Letters, 2024, 179: 9-16. [pdf] [bib]

  13. 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]

  14. Yun Li, Fan Yang, Yudou Tian, Xuejun Wang, Qi Chen, Peiguang Jing*. Collaborative representation based cross-domain semantic transfer for vehicle re-identification. Neurocomputing, 2024, 567: 127039. [pdf] [bib]

  15. 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]

  16. 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. (CCF A类国际期刊，中科院SCI一区TOP，IF=10.4) [pdf] [code] [bib]

  17. 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. (中科院SCI一区TOP，IF=9.7) [pdf] [code] [bib]

  18. 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. (中科院SCI一区TOP，IF=8.9) [pdf] [code] [bib]

  19. 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. (中科院SCI一区TOP，IF=9.7) [pdf] [bib]

  20. 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. IEEE Internet of Things Journal, 2024, 11(1): 353-365. (中科院SCI一区TOP，IF=8.9) [pdf] [bib]

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  1. Peiguang Jing, Xianyi Liu, Ji Wang, Yinwei Wei, Liqiang Nie, Yuting Su. StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning. Proceedings of ACM International Conference on Multimedia, 2023: 853-861. (CCF A类国际会议) [pdf] [code] [bib]

  2. 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. Proceedings of IEEE International Conference on Multimedia and Expo, 2023: 1433-1438. [pdf] [bib]

  3. 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. (中科院SCI一区TOP，IF=8.1) [pdf] [code] [bib]

  4. Yu Liu, Chen Song, Yunpeng Yin, Herui Shi, Jinglin Sun, Han Wang, Peiguang Jing. Comparison and analysis of cognitive load under 2D/3D visual stimuli. arXiv preprint, 2023: arXiv:2302.12968. [pdf] [bib]

  5. Peiguang Jing, Kai Cui, Weili Guan, Liqiang Nie, Yuting Su. Category-aware Multimodal Attention Network for Fashion Compatibility Modeling. IEEE Transactions on Multimedia, 2023, 25: 9120-9131. (中科院SCI一区TOP，IF=8.4) [pdf] [bib]

  6. 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. (中科院SCI一区TOP，IF=8.2) [pdf] [bib]

  7. Peiguang Jing, Zijian Huang, Jing Liu, Yating Wang, Jiexiao Yu*. Edge-aware object pixel-level representation tracking. Journal of Visual Communication and Image Representation, 2023, 90: 103735. [bib]

  8. Yunpeng Yin, Jinglin Sun, Yu Liu, Han Wang, Peiguang Jing. The cognitive load of observation tasks in 3D video is lower than that in 2D video. arXiv e-prints, 2023: arXiv:2302.12968. [pdf] [bib]

  9. 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]

  10. 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, 2023, 72: 1-15. [pdf] [bib]

  11. Yuting Su, Wei Zhao, Peiguang Jing*, Liqiang Nie. Exploiting Low-Rank Latent Gaussian Graphical Model Estimation for Visual Sentiment Distributions. IEEE Transactions on Multimedia, 2023, 25: 1243-1255. (中科院SCI一区TOP，IF=8.4) [pdf] [code] [bib]

  12. 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. (中科院SCI一区TOP，IF=8.4) [pdf] [bib]

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  1. 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: 972773. [pdf] [bib]

  2. Xiao Jin, Yuting Su, Peiguang Jing. Video Frame Deletion Detection Based on Time-frequency Analysis. Journal of Visual Communication and Image Representation, 2022, 83: 103436.

    [pdf] [bib]

  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, 2022, 24: 1277-1287. (中科院SCI一区TOP，IF=7.3) [pdf] [bib]

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  1. 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]

  2. Peiguang Jing, Yaxin Li, Xinhui Li, Yuting Wu, Yuting Su*. Joint Nuclear-and ℓ2,1-norm Regularized Heterogeneous Tensor Decomposition for Robust Classification. Neurocomputing, 2021, 464: 317-329. [pdf] [bib]

  3. 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. (中科院SCI一区TOP，IF=8.1) [pdf] [bib]

  4. Liqiang Zhang, Jinchao Wu, Chunxu Jiang, Peiguang Jing, Yu Liu. Learning-based stance-phase detection for a pedestrian dead-reckoning system with dynamic gait speeds. Measurement Science and Technology, 2021, 32(10): 105108. [bib]

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

  6. 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]

  7. 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. (中科院SCI一区TOP，IF=8.4) [pdf] [code] [bib]

  8. Jinglin Sun, Zhipeng Wu, Han Wang, Peiguang Jing, Yu Liu. A novel binocular eye-tracking systemwith stereo stimuli for 3d gaze estimation. arXiv preprint, 2021, arXiv:2104.12167. [pdf] [bib]

  9. 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): 33, pp 1-19. [pdf] [code] [bib]

  10. 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SCI一区TOP，IF=7.3) [pdf] [bib]

  11. 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SCI一区TOP，IF=8.1) [pdf] [bib]

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  1. Yuting Su, Yang Li, Xu Bai, Peiguang Jing*. Predicting the popularity of micro-videos via a feature-discrimination transductive model. Multimedia Systems, 2020, 26(5): 519-534.

  2. 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SCI一区TOP，IF=6.5) [pdf] [bib]

  3. Jing Zhang, Yuting Wu, Jinghui Liu, Peiguang Jing*, Yuting Su. Low-Rank Regularized Multimodal Representation for Micro-Video Event Detection. IEEE Access, 2020, 8: 87266-87274. [pdf] [bib]

  4. Peiguang Jing, Weili Guan, Xu Bai, Hongbin Guo, Yuting Su*. Single image super-resolution via low-rank tensor representation and hierarchical dictionary learning. Multimedia Tools and Applications, 2020: 79(17): 11767-11785.

  5. 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]

  6. Yuting Su, Daozheng Hong, Yang Li, Peiguang Jing*. Cross media intelligence and applications. Multimedia Tools and Applications, 2020, 27: 740-744.

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  1. Xue Dong, Xuemeng Song, Fuli Feng, Peiguang Jing, Xin-Shun Xu, Liqiang Nie. Personalized Capsule Wardrobe Creation with Garment and User Modeling. Proceedings of ACM International Conference on Multimedia, 2019: 302-310. (CCF A类国际会议) [pdf] [bib]

  2. Jing Zhang, Yue Shi, Peiguang Jing*, Jing Liu, Yuting Su. A structure-transfer-driven temporal subspace clustering for video summarization. Multimedia Tools and Applications, 2019, 78(17): 24123-24145.

  3. Yuting Su, Wanning Su, Jing Liu, Guotao Zhai, Peiguang Jing. Photo-realistic image bit-depth enhancement via residual transposed convolutional neural network. Neurocomputing, 2019, 347: 200-211. [pdf] [bib]

  4. 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. (CCF A类国际期刊，中科院SCI一区TOP，IF=4.4) [pdf] [bib]

  5. 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高被引论文) [pdf] [bib]

  6. Yuting Su, Xu Bai, Pu Jian, Peiguang Jing*, Jing Zhang. Low-rank approximation-based tensor decomposition model for subspace clustering. Electronics Letters, 2019, 55(7): 406-408. [pdf] [bib]

  7. 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]

  8. 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SCI一区TOP，IF=6.1) [pdf] [bib]

  9. 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SCI一区TOP，IF=9.9) [pdf] [bib]

  10. 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SCI一区TOP，IF=11.1) [pdf] [bib]

  11. Jing Zhang, Zhengnan Li, Peiguang Jing*, Ye Liu, Yuting Su. Tensor-driven low-rank discriminant analysis for image set classification. Multimedia Tools and Applications, 2019, 78(4): 4001-4020.

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  1. Jinghui Chu, Huimin Gu, Yuting Su, Peiguang Jing*. Towards a sparse low-rank regression model for memorability prediction of images. Neurocomputing, 2018, 321:357-368. [pdf] [bib]

  2. Anan Liu, Yingdi Shi, Peiguang Jing*, Jing Liu, Yuting Su. Low-rank regularized multi-view inverse-covariance estimation for visual sentiment distribution prediction. Journal of Visual Communication and Image Representation, 2018, 57, 243-252. [pdf] [bib]

  3. Yuting Su, Xu Bai, Wu Li, Peiguang Jing, Jing Zhang, Jing Liu. Graph regularized low-rank tensor representation for feature selection. Journal of Visual Communication and Image Representation, 2018, 56, 234-244. [pdf] [bib]

  4. Xiao Jin, Peiguang Jing, Yuting Su. AMFNet: an adversarial network for median filtering detection. IEEE Access, 2018, 6: 50459-50467. [pdf] [bib]

  5. Xiao Jin, Yuting Su, Liang Zou, Yongwei Wang, Peiguang Jing, Z.Jane Wang. Sparsity-based image inpainting detection via canonical correlation analysis with low-rank constraints. IEEE Access, 2018, 6: 49967-49978. [pdf] [bib]

  6. 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. (CCF A类国际期刊，中科院SCI一区TOP，IF=4.6，ESI高被引论文) [pdf] [bib]

  7. Jing Liu, Wanning Sun, Peiguang Jing, Jiexiao Yu*, Yuting Su. Improving bit-depth expansion via context-aware mmse optimization (camo). IEEE Access, 2018, 6: 46396-46406. [pdf] [bib]

  8. 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]

  9. 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]

  10. Peiguang Jing, Yuting Su, Chuanzhong Xu, Luming Zhang. HyperSSR: A Hypergraph Based Semi-supervised Ranking Method for Visual Search Reranking. Neurocomputing, 2018, 274: 50-57. [pdf] [bib]

  11. Xiao Jin, Yuting Su*, Liang Zou, Chengqian Zhang, Peiguang Jing, Xuemeng Song. Video logo removal detection based on sparse representation. Multimedia Tools and Applications, 2018, 77: 29303-29322.

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

  13. 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. (CCF A类国际期刊，中科院SCI一区TOP，IF=11.8) [pdf] [bib]

  14. Yuting Su, Haiyi Wang, Peiguang Jing, Chuanzhong Xu. A spatial-temporal iterative tensor decomposition technique for action and gesture recognition. Multimedia Tools and Applications, 2017, 76(8): 10635-10652.

  15. 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SCI一区TOP，IF=4.4) [pdf] [code][bib]

  16. 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]

  17. 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. (中科院SCI一区TOP，IF=4.8) [pdf] [bib]

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  1. 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).

  2. 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.

  3. 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. [pdf]

  4. 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. 数据分析与知识发现. [pdf]

  5. 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. 吉林大学学报(工学版). [pdf]

  6. 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. 吉林大学学报(工学版). [pdf]

  7. 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. 哈尔滨工业大学学报.

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  9. 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. 电子与信息学报. [pdf]

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