Peiguang Jing

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 74

Top Topics

Matrix Factorization

Temporal Correlation

Top Venues

IEEE Trans. Multim.

IEEE Signal Process. Lett.

Publications

Weikang Wang, Yuting Su, Jing Liu, Peiguang Jing
Adaptive proposal network based on generative adversarial learning for weakly supervised temporal sentence grounding. Pattern Recognit. Lett. 179 (2024)
Yun Li, Xianyi Liu, Lijuan Zhang, Haoyu Tian, Peiguang Jing
Multimodal semantic enhanced representation network for micro-video event detection. Knowl. Based Syst. 301 (2024)
Yun Li, Fan Yang, Yudou Tian, Xuejun Wang, Qi Chen, Peiguang Jing
Collaborative representation based cross-domain semantic transfer for vehicle re-identification. Neurocomputing 567 (2024)
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. CoRR (2024)
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 Things J. 11 (1) (2024)
Yuting Su, Weikang Wang, Jing Liu, Peiguang Jing
Collaborative spatial-temporal video salient object detection with cross attention transformer. Signal Process. 224 (2024)
Peiguang Jing, Xiaoyu Liu, Xuehui Wang, Yuting Su
Deep Matrix Factorization With Complementary Semantic Aggregation for Micro-Video Multi-Label Classification. IEEE Signal Process. Lett. 31 (2024)
Fugui Fan, Yuting Su, Yu Liu, Peiguang Jing, Kaihua Qu
A deep low-rank semantic factorization method for micro-video multi-label classification. Multim. Syst. 30 (4) (2024)
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 Trans. Multim. 26 (2024)
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 J. Biomed. Health Informatics 28 (5) (2024)
Jing Liu, Lele Sun, Weizhi Nie, Peiguang Jing, Yuting Su
Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation. AAAI (2024)
Peiguang Jing, Kai Zhang, Xianyi Liu, Yun Li, Yu Liu, Yuting Su
Dual Preference Perception Network for Fashion Recommendation in Social Internet of Things. IEEE Internet Things J. 11 (5) (2024)
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. Inf. Process. Manag. 61 (5) (2024)
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 Trans. Multim. 26 (2024)
Peiguang Jing, Xianyi Liu, Lijuan Zhang, Yun Li, Yu Liu, Yuting Su
Multimodal Attentive Representation Learning for Micro-video Multi-label Classification. ACM Trans. Multim. Comput. Commun. Appl. 20 (6) (2024)
Peiguang Jing, Xianyi Liu, Ji Wang, Yinwei Wei, Liqiang Nie, Yuting Su
StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning. CoRR (2023)
Yun Li, Xinqi He, Zhenkun Lu, Peiguang Jing, Yishan Su
Comprehensive Ocean Information-Enabled AUV Motion Planning Based on Reinforcement Learning. Remote. Sens. 15 (12) (2023)
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 Process. Lett. 30 (2023)
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. CoRR (2023)
Yunpeng Yin, Han Wang, Shuai Liu, Jinglin Sun, 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 Things J. 10 (13) (2023)
Yun Li, Shuyi Liu, Xuejun Wang, Peiguang Jing
Self-supervised deep partial adversarial network for micro-video multimodal classification. Inf. Sci. 630 (2023)
Jinglin Sun, Zhipeng Wu, Han Wang, Peiguang Jing, Yu Liu
A Novel Integrated Eye-Tracking System With Stereo Stimuli for 3-D Gaze Estimation. IEEE Trans. Instrum. Meas. 72 (2023)
Peiguang Jing, Zijian Huang, Jing Liu, Yating Wang, Jiexiao Yu
Edge-aware object pixel-level representation tracking. J. Vis. Commun. Image Represent. 90 (2023)
Yuting Su, Wei Zhao, Peiguang Jing, Liqiang Nie
Exploiting Low-Rank Latent Gaussian Graphical Model Estimation for Visual Sentiment Distributions. IEEE Trans. Multim. 25 (2023)
Peiguang Jing, Kai Cui, Weili Guan, Liqiang Nie, Yuting Su
Category-Aware Multimodal Attention Network for Fashion Compatibility Modeling. IEEE Trans. Multim. 25 (2023)
Wei Lu, Desheng Li, Liqiang Nie, Peiguang Jing, Yuting Su
Learning Dual Low-Rank Representation for Multi-Label Micro-Video Classification. IEEE Trans. Multim. 25 (2023)
Peiguang Jing, Xianyi Liu, Ji Wang, Yinwei Wei, Liqiang Nie, Yuting Su
StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning. ACM Multimedia (2023)
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. ICME (2023)
Xiao Jin, Yuting Su, Peiguang Jing
Video frame deletion detection based on time-frequency analysis. J. Vis. Commun. Image Represent. 83 (2022)
Chao Li, Yong Sheng, Haishuai Wang, Mingyue Niu, Peiguang Jing, Ziping Zhao, Björn W. Schuller
EEG Emotion Recognition Based on Self-attention Dynamic Graph Neural Networks. EMBC (2022)
Xiao Jin, Peiguang Jing, Jiesheng Wu, Jing Xu, Yuting Su
Visual Sentiment Classification via Low-Rank Regularization and Label Relaxation. IEEE Trans. Cogn. Dev. Syst. 14 (4) (2022)
Peiguang Jing, Jing Zhang, Liqiang Nie, Shu Ye, Jing Liu, Yuting Su
Tripartite Graph Regularized Latent Low-Rank Representation for Fashion Compatibility Prediction. IEEE Trans. Multim. 24 (2022)
Jing Liu, Xin Wen, Weizhi Nie, Yuting Su, Peiguang Jing, Xiaokang Yang
Residual-Guided Multiscale Fusion Network for Bit-Depth Enhancement. IEEE Trans. Circuits Syst. Video Technol. 32 (5) (2022)
Jinghui Chu, Jiawei Feng, Peiguang Jing, Wei Lu
Joint Co-Attention And Co-Reconstruction Representation Learning For One-Shot Object Detection. ICIP (2021)
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 Trans. Multim. 23 (2021)
Peiguang Jing, Yaxin Li, Xinhui Li, Yuting Wu, Yuting Su
Joint nuclear- and ℓ2, 1-norm regularized heterogeneous tensor decomposition for robust classification. Neurocomputing 464 (2021)
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. Inf. Sci. 575 (2021)
Wenjie Wang, Ling-Yu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie
Market2Dish: Health-aware Food Recommendation. ACM Trans. Multim. Comput. Commun. Appl. 17 (1) (2021)
Fugui Fan, Yuting Su, Peiguang Jing, Wei Lu
A Dual Rank-Constrained Filter Pruning Approach for Convolutional Neural Networks. IEEE Signal Process. Lett. 28 (2021)
Peiguang Jing, Yuting Su, Zhengnan Li, Liqiang Nie
Learning robust affinity graph representation for multi-view clustering. Inf. Sci. 544 (2021)
Peiguang Jing, Weili Guan, Xu Bai, Hongbin Guo, Yuting Su
Single image super-resolution via low-rank tensor representation and hierarchical dictionary learning. Multim. Tools Appl. 79 (17-18) (2020)
Peiguang Jing, Shu Ye, Liqiang Nie, Jing Liu, Yuting Su
Low-Rank Regularized Multi-Representation Learning for Fashion Compatibility Prediction. IEEE Trans. Multim. 22 (6) (2020)
Yuting Su, Daozheng Hong, Yang Li, Peiguang Jing
Low-Rank Regularized Deep Collaborative Matrix Factorization for Micro-Video Multi-Label Classification. IEEE Signal Process. Lett. 27 (2020)
Yuting Su, Weikang Wang, Jing Liu, Peiguang Jing, Xiaokang Yang
DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection. CoRR (2020)
Jing Zhang, Yuting Wu, Jinghui Liu, Peiguang Jing, Yuting Su
Low-Rank Regularized Multimodal Representation for Micro-Video Event Detection. IEEE Access 8 (2020)
Wenjie Wang, Ling-Yu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie
Market2Dish: Health-aware Food Recommendation. CoRR (2020)
Yuting Su, Yang Li, Xu Bai, Peiguang Jing
Predicting the popularity of micro-videos via a feature-discrimination transductive model. Multim. Syst. 26 (5) (2020)
Peiguang Jing, Yuting Su, Zhengnan Li, Jing Liu, Liqiang Nie
Low-rank regularized tensor discriminant representation for image set classification. Signal Process. 156 (2019)
Jing Liu, Pingping Liu, Yuting Su, Peiguang Jing, Xiaokang Yang
Spatiotemporal Symmetric Convolutional Neural Network for Video Bit-Depth Enhancement. IEEE Trans. Multim. 21 (9) (2019)
Jing Liu, Wanning Sun, Yuting Su, Peiguang Jing, Xiaokang Yang
BE-CALF: Bit-Depth Enhancement by Concatenating All Level Features of DNN. IEEE Trans. Image Process. 28 (10) (2019)
Peiguang Jing, Yuting Su, Xiao Jin, Chengqian Zhang
High-Order Temporal Correlation Model Learning for Time-Series Prediction. IEEE Trans. Cybern. 49 (6) (2019)
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 Things J. 6 (2) (2019)
Jing Zhang, Zhengnan Li, Peiguang Jing, Ye Liu, Yuting Su
Tensor-driven low-rank discriminant analysis for image set classification. Multim. Tools Appl. 78 (4) (2019)
Peiguang Jing, Yuting Su, Liqiang Nie, Huimin Gu, Jing Liu, Meng Wang
A Framework of Joint Low-Rank and Sparse Regression for Image Memorability Prediction. IEEE Trans. Circuits Syst. Video Technol. 29 (5) (2019)
Xue Dong, Xuemeng Song, Fuli Feng, Peiguang Jing, Xin-Shun Xu, Liqiang Nie
Personalized Capsule Wardrobe Creation with Garment and User Modeling. ACM Multimedia (2019)
Jing Zhang, Yue Shi, Peiguang Jing, Jing Liu, Yuting Su
A structure-transfer-driven temporal subspace clustering for video summarization. Multim. Tools Appl. 78 (17) (2019)
Yuting Su, Wanning Sun, Jing Liu, Guangtao Zhai, Peiguang Jing
Photo-realistic image bit-depth enhancement via residual transposed convolutional neural network. Neurocomputing 347 (2019)
Peiguang Jing, Yuting Su, Chuan-Zhong Xu, Luming Zhang
HyperSSR: A hypergraph based semi-supervised ranking method for visual search reranking. Neurocomputing 274 (2018)
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 6 (2018)
Xiao Jin, Yuting Su, Liang Zou, Chengqian Zhang, Peiguang Jing, Xuemeng Song
Video logo removal detection based on sparse representation. Multim. Tools Appl. 77 (22) (2018)
Jinghui Chu, Huimin Gu, Yuting Su, Peiguang Jing
Towards a sparse low-rank regression model for memorability prediction of images. Neurocomputing 321 (2018)
Jing Liu, Wanning Sun, Peiguang Jing, Jiexiao Yu, Yuting Su
Improving Bit-Depth Expansion via Context-Aware MMSE Optimization (CAMO). IEEE Access 6 (2018)
Peiguang Jing, Yuting Su, Liqiang Nie, Xu Bai, Jing Liu, Meng Wang
Low-Rank Multi-View Embedding Learning for Micro-Video Popularity Prediction. IEEE Trans. Knowl. Data Eng. 30 (8) (2018)
Anan Liu, Yingdi Shi, Peiguang Jing, Jing Liu, Yuting Su
Structured low-rank inverse-covariance estimation for visual sentiment distribution prediction. Signal Process. 152 (2018)
Anan Liu, Yingdi Shi, Peiguang Jing, Jing Liu, Yuting Su
Low-rank regularized multi-view inverse-covariance estimation for visual sentiment distribution prediction. J. Vis. Commun. Image Represent. 57 (2018)
Yuting Su, Xu Bai, Wu Li, Peiguang Jing, Jing Zhang, Jing Liu
Graph regularized low-rank tensor representation for feature selection. J. Vis. Commun. Image Represent. 56 (2018)
Xiao Jin, Peiguang Jing, Yuting Su
AMFNet: An Adversarial Network for Median Filtering Detection. IEEE Access 6 (2018)
Jing Zhang, Xinhui Li, Peiguang Jing, Jing Liu, Yuting Su
Low-Rank Regularized Heterogeneous Tensor Decomposition for Subspace Clustering. IEEE Signal Process. Lett. 25 (3) (2018)
Peiguang Jing, Yuting Su, Liqiang Nie, Huimin Gu
Predicting Image Memorability Through Adaptive Transfer Learning From External Sources. IEEE Trans. Multim. 19 (5) (2017)
Yuting Su, Haiyi Wang, Peiguang Jing, Chuan-Zhong Xu
A spatial-temporal iterative tensor decomposition technique for action and gesture recognition. Multim. Tools Appl. 76 (8) (2017)
Luming Zhang, Peiguang Jing, Yuting Su, Chao Zhang, Ling Shao
SnapVideo: Personalized Video Generation for a Sightseeing Trip. IEEE Trans. Cybern. 47 (11) (2017)
Jing Zhang, Chuan-Zhong Xu, Peiguang Jing, Chengqian Zhang, Yuting Su
A Tensor-Driven Temporal Correlation Model for Video Sequence Classification. IEEE Signal Process. Lett. 23 (9) (2016)
Shuhan Qi, Peiguang Jing, Xuan Wang, Liqiang Nie
Quality biased multimedia data retrieval in microblogs. J. Vis. Commun. Image Represent. 40 (2016)
Peiguang Jing, Zhong Ji, Yunlong Yu, Zhongfei Zhang
Visual search reranking with RElevant Local Discriminant Analysis. Neurocomputing 173 (2016)
Zhong Ji, Peiguang Jing, Tianshi Yu, Yuting Su, Changshu Liu
Ranking Fisher discriminant analysis. Neurocomputing 120 (2013)
Yanwei Pang, Zhong Ji, Peiguang Jing, Xuelong Li
Ranking Graph Embedding for Learning to Rerank. IEEE Trans. Neural Networks Learn. Syst. 24 (8) (2013)
Zhong Ji, Peiguang Jing, Yuting Su, Yanwei Pang
Rank canonical correlation analysis and its application in visual search reranking. Signal Process. 93 (8) (2013)
Tianshi Yu, Zhong Ji, Peiguang Jing, Yuting Su
Image search reranking with Ranking Linear Discriminant Analysis. ICMLC (2012)
Jing Zhang, Peiguang Jing, Zhong Ji, Yuting Su
Image Search Reranking with Transductive Learning to Rank Framework. ICICA (2) (2011)