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2020 – today
- 2024
[j70]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: 127039 (2024)- [j69]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): 353-365 (2024) - [j68]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): 7893-7903 (2024) - [j67]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): 103798 (2024) - [j66]Yun Li, Xianyi Liu, Lijuan Zhang, Haoyu Tian, Peiguang Jing:
Multimodal semantic enhanced representation network for micro-video event detection. Knowl. Based Syst. 301: 112255 (2024) - [j65]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): 236 (2024) - [j64]Yun Li, GuoXiang Li, Jing Zhang, Peiguang Jing, Xingyu Lu:
Research on type-aware fashion compatibility prediction based on a hybrid attention mechanism. Multim. Tools Appl. 83(30): 74003-74020 (2024) - [j63]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: 9-16 (2024) - [j62]Yuting Su, Weikang Wang, Jing Liu, Peiguang Jing:
Collaborative spatial-temporal video salient object detection with cross attention transformer. Signal Process. 224: 109612 (2024) - [j61]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: 1685-1689 (2024) - [j60]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): 2781-2793 (2024) - [j59]Peiguang Jing, Haoyi Sun, Liqiang Nie, Yun Li, Yuting Su:
Deep Multi-Modal Hashing With Semantic Enhancement for Multi-Label Micro-Video Retrieval. IEEE Trans. Knowl. Data Eng. 36(10): 5080-5091 (2024) - [j58]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: 2598-2607 (2024) - [j57]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: 4926-4937 (2024) - [j56]Peiguang Jing, Xuan Zhao, Fugui Fan, Fan Yang, Yun Li, Yuting Su:
Multimodal Progressive Modulation Network for Micro-Video Multi-Label Classification. IEEE Trans. Multim. 26: 10134-10144 (2024) - [j55]Fugui Fan, Peiguang Jing, Liqiang Nie, Haoyu Gu, Yuting Su:
SADCMF: Self-Attentive Deep Consistent Matrix Factorization for Micro-Video Multi-Label Classification. IEEE Trans. Multim. 26: 10331-10341 (2024) - [j54]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): 182:1-182:23 (2024) - [c8]Jing Liu, Lele Sun, Weizhi Nie, Peiguang Jing, Yuting Su:
Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation. AAAI 2024: 8769-8777 - [i5]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 abs/2403.10124 (2024) - 2023
- [j53]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): 11476-11485 (2023) - [j52]Yun Li, Shuyi Liu, Xuejun Wang, Peiguang Jing:
Self-supervised deep partial adversarial network for micro-video multimodal classification. Inf. Sci. 630: 356-369 (2023) - [j51]Peiguang Jing, Zijian Huang, Jing Liu, Yating Wang, Jiexiao Yu:
Edge-aware object pixel-level representation tracking. J. Vis. Commun. Image Represent. 90: 103735 (2023) - [j50]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): 3077 (2023) - [j49]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: 60-64 (2023) - [j48]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: 1-15 (2023) - [j47]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: 77-89 (2023) - [j46]Yuting Su, Wei Zhao, Peiguang Jing, Liqiang Nie:
Exploiting Low-Rank Latent Gaussian Graphical Model Estimation for Visual Sentiment Distributions. IEEE Trans. Multim. 25: 1243-1255 (2023) - [j45]Peiguang Jing, Kai Cui, Weili Guan, Liqiang Nie, Yuting Su:
Category-Aware Multimodal Attention Network for Fashion Compatibility Modeling. IEEE Trans. Multim. 25: 9120-9131 (2023) - [c7]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: 1433-1438 - [c6]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: 853-861 - [i4]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 abs/2303.06868 (2023) - [i3]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 abs/2308.03000 (2023) - 2022
- [j44]Xiao Jin, Yuting Su, Peiguang Jing:
Video frame deletion detection based on time-frequency analysis. J. Vis. Commun. Image Represent. 83: 103436 (2022) - [j43]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): 1678-1690 (2022) - [j42]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): 2773-2786 (2022) - [j41]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: 1277-1287 (2022) - [c5]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: 292-296 - 2021
- [j40]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: 317-329 (2021) - [j39]Peiguang Jing, Yuting Su, Zhengnan Li, Liqiang Nie:
Learning robust affinity graph representation for multi-view clustering. Inf. Sci. 544: 155-167 (2021) - [j38]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: 587-598 (2021) - [j37]Fugui Fan, Yuting Su, Peiguang Jing, Wei Lu:
A Dual Rank-Constrained Filter Pruning Approach for Convolutional Neural Networks. IEEE Signal Process. Lett. 28: 1734-1738 (2021) - [j36]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: 2259-2272 (2021) - [j35]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): 33:1-33:19 (2021) - [c4]Jinghui Chu, Jiawei Feng, Peiguang Jing, Wei Lu:
Joint Co-Attention And Co-Reconstruction Representation Learning For One-Shot Object Detection. ICIP 2021: 2229-2233 - 2020
- [j34]Jing Zhang, Yuting Wu, Jinghui Liu, Peiguang Jing, Yuting Su:
Low-Rank Regularized Multimodal Representation for Micro-Video Event Detection. IEEE Access 8: 87266-87274 (2020) - [j33]Yuting Su, Yang Li, Xu Bai, Peiguang Jing:
Predicting the popularity of micro-videos via a feature-discrimination transductive model. Multim. Syst. 26(5): 519-534 (2020) - [j32]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): 11767-11785 (2020) - [j31]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: 740-744 (2020) - [j30]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): 1555-1566 (2020) - [i2]Yuting Su, Weikang Wang, Jing Liu, Peiguang Jing, Xiaokang Yang:
DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection. CoRR abs/2012.04886 (2020) - [i1]Wenjie Wang, Ling-Yu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie:
Market2Dish: Health-aware Food Recommendation. CoRR abs/2012.06416 (2020)
2010 – 2019
- 2019
- [j29]Yuting Su, Wanning Sun, Jing Liu, Guangtao Zhai, Peiguang Jing:
Photo-realistic image bit-depth enhancement via residual transposed convolutional neural network. Neurocomputing 347: 200-211 (2019) - [j28]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): 2749-2759 (2019) - [j27]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): 4001-4020 (2019) - [j26]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): 24123-24145 (2019) - [j25]Peiguang Jing, Yuting Su, Zhengnan Li, Jing Liu, Liqiang Nie:
Low-rank regularized tensor discriminant representation for image set classification. Signal Process. 156: 62-70 (2019) - [j24]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): 1296-1309 (2019) - [j23]Peiguang Jing, Yuting Su, Xiao Jin, Chengqian Zhang:
High-Order Temporal Correlation Model Learning for Time-Series Prediction. IEEE Trans. Cybern. 49(6): 2385-2397 (2019) - [j22]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): 4926-4940 (2019) - [j21]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): 2397-2406 (2019) - [c3]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: 302-310 - 2018
- [j20]Jing Liu, Wanning Sun, Peiguang Jing, Jiexiao Yu, Yuting Su:
Improving Bit-Depth Expansion via Context-Aware MMSE Optimization (CAMO). IEEE Access 6: 46396-46406 (2018) - [j19]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: 49967-49978 (2018) - [j18]Xiao Jin, Peiguang Jing, Yuting Su:
AMFNet: An Adversarial Network for Median Filtering Detection. IEEE Access 6: 50459-50467 (2018) - [j17]Peiguang Jing, Yuting Su, Chuan-Zhong Xu, Luming Zhang:
HyperSSR: A hypergraph based semi-supervised ranking method for visual search reranking. Neurocomputing 274: 50-57 (2018) - [j16]Jinghui Chu, Huimin Gu, Yuting Su, Peiguang Jing:
Towards a sparse low-rank regression model for memorability prediction of images. Neurocomputing 321: 357-368 (2018) - [j15]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: 234-244 (2018) - [j14]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: 243-252 (2018) - [j13]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): 29303-29322 (2018) - [j12]Anan Liu, Yingdi Shi, Peiguang Jing, Jing Liu, Yuting Su:
Structured low-rank inverse-covariance estimation for visual sentiment distribution prediction. Signal Process. 152: 206-216 (2018) - [j11]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): 333-337 (2018) - [j10]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): 1519-1532 (2018) - 2017
- [j9]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): 10635-10652 (2017) - [j8]Luming Zhang, Peiguang Jing, Yuting Su, Chao Zhang, Ling Shao:
SnapVideo: Personalized Video Generation for a Sightseeing Trip. IEEE Trans. Cybern. 47(11): 3866-3878 (2017) - [j7]Peiguang Jing, Yuting Su, Liqiang Nie, Huimin Gu:
Predicting Image Memorability Through Adaptive Transfer Learning From External Sources. IEEE Trans. Multim. 19(5): 1050-1062 (2017) - 2016
- [j6]Peiguang Jing, Zhong Ji, Yunlong Yu, Zhongfei Zhang:
Visual search reranking with RElevant Local Discriminant Analysis. Neurocomputing 173: 172-180 (2016) - [j5]Shuhan Qi, Peiguang Jing, Xuan Wang, Liqiang Nie:
Quality biased multimedia data retrieval in microblogs. J. Vis. Commun. Image Represent. 40: 838-846 (2016) - [j4]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): 1246-1249 (2016) - 2013
- [j3]Zhong Ji, Peiguang Jing, Tianshi Yu, Yuting Su, Changshu Liu:
Ranking Fisher discriminant analysis. Neurocomputing 120: 54-60 (2013) - [j2]Zhong Ji, Peiguang Jing, Yuting Su, Yanwei Pang:
Rank canonical correlation analysis and its application in visual search reranking. Signal Process. 93(8): 2352-2360 (2013) - [j1]Yanwei Pang, Zhong Ji, Peiguang Jing, Xuelong Li:
Ranking Graph Embedding for Learning to Rerank. IEEE Trans. Neural Networks Learn. Syst. 24(8): 1292-1303 (2013) - 2012
- [c2]Tianshi Yu, Zhong Ji, Peiguang Jing, Yuting Su:
Image search reranking with Ranking Linear Discriminant Analysis. ICMLC 2012: 1493-1497 - 2011
- [c1]Jing Zhang, Peiguang Jing, Zhong Ji, Yuting Su:
Image Search Reranking with Transductive Learning to Rank Framework. ICICA (2) 2011: 529-536
Coauthor Index
[j69] [j68] [j67] [j65] [j63] [j62] [j61] [j59] [j58] [j57] [j56] [j55] [j54] [c8] [j49] [j47] [j46] [j45] [c6] [i3] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j34] [j33] [j32] [j31] [j30] [i2] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j4] [j3] [j2] [c2] [c1]
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