Peiguang Jing

Orcid: 0000-0003-2648-7358

According to our database1, Peiguang Jing authored at least 81 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Context-aware focal alignment network for micro-video multi-label classification.
Pattern Anal. Appl., December, 2024

Deep Multi-Modal Hashing With Semantic Enhancement for Multi-Label Micro-Video Retrieval.
IEEE Trans. Knowl. Data Eng., October, 2024

Research on type-aware fashion compatibility prediction based on a hybrid attention mechanism.
Multim. Tools Appl., September, 2024

A deep low-rank semantic factorization method for micro-video multi-label classification.
Multim. Syst., August, 2024

Multimodal Attentive Representation Learning for Micro-video Multi-label Classification.
ACM Trans. Multim. Comput. Commun. Appl., June, 2024

Deep Learning-Based Eye-Tracking Analysis for Diagnosis of Alzheimer's Disease Using 3D Comprehensive Visual Stimuli.
IEEE J. Biomed. Health Informatics, May, 2024

Multimodal High-Order Relationship Inference Network for Fashion Compatibility Modeling in Internet of Multimedia Things.
IEEE Internet Things J., January, 2024

Collaborative representation based cross-domain semantic transfer for vehicle re-identification.
Neurocomputing, January, 2024

VMemNet: A Deep Collaborative Spatial-Temporal Network With Attention Representation for Video Memorability Prediction.
IEEE Trans. Multim., 2024

Multimodal Progressive Modulation Network for Micro-Video Multi-Label Classification.
IEEE Trans. Multim., 2024

Dual-Domain Aligned Deep Hierarchical Matrix Factorization Method for Micro-Video Multi-Label Classification.
IEEE Trans. Multim., 2024

SADCMF: Self-Attentive Deep Consistent Matrix Factorization for Micro-Video Multi-Label Classification.
IEEE Trans. Multim., 2024

Deep Matrix Factorization With Complementary Semantic Aggregation for Micro-Video Multi-Label Classification.
IEEE Signal Process. Lett., 2024

Collaborative spatial-temporal video salient object detection with cross attention transformer.
Signal Process., 2024

Adaptive proposal network based on generative adversarial learning for weakly supervised temporal sentence grounding.
Pattern Recognit. Lett., 2024

Multimodal semantic enhanced representation network for micro-video event detection.
Knowl. Based Syst., 2024

Multimodal deep hierarchical semantic-aligned matrix factorization method for micro-video multi-label classification.
Inf. Process. Manag., 2024

Dual Preference Perception Network for Fashion Recommendation in Social Internet of Things.
IEEE Internet Things J., 2024

Depth-induced Saliency Comparison Network for Diagnosis of Alzheimer's Disease via Jointly Analysis of Visual Stimuli and Eye Movements.
CoRR, 2024

Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Internet of Things for Diagnosis of Alzheimer's Disease: A Multimodal Machine Learning Approach Based on Eye Movement Features.
IEEE Internet Things J., July, 2023

Comprehensive Ocean Information-Enabled AUV Motion Planning Based on Reinforcement Learning.
Remote. Sens., June, 2023

Self-supervised deep partial adversarial network for micro-video multimodal classification.
Inf. Sci., June, 2023

Edge-aware object pixel-level representation tracking.
J. Vis. Commun. Image Represent., February, 2023

Exploiting Low-Rank Latent Gaussian Graphical Model Estimation for Visual Sentiment Distributions.
IEEE Trans. Multim., 2023

Learning Dual Low-Rank Representation for Multi-Label Micro-Video Classification.
IEEE Trans. Multim., 2023

Category-Aware Multimodal Attention Network for Fashion Compatibility Modeling.
IEEE Trans. Multim., 2023

A Novel Integrated Eye-Tracking System With Stereo Stimuli for 3-D Gaze Estimation.
IEEE Trans. Instrum. Meas., 2023

A Multimodal Aggregation Network With Serial Self-Attention Mechanism for Micro-Video Multi-Label Classification.
IEEE Signal Process. Lett., 2023

StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Novel Channel Pruning Approach based on Local Attention and Global Ranking for CNN Model Compression.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
Tripartite Graph Regularized Latent Low-Rank Representation for Fashion Compatibility Prediction.
IEEE Trans. Multim., 2022

Residual-Guided Multiscale Fusion Network for Bit-Depth Enhancement.
IEEE Trans. Circuits Syst. Video Technol., 2022

Visual Sentiment Classification via Low-Rank Regularization and Label Relaxation.
IEEE Trans. Cogn. Dev. Syst., 2022

Video frame deletion detection based on time-frequency analysis.
J. Vis. Commun. Image Represent., 2022

EEG Emotion Recognition Based on Self-attention Dynamic Graph Neural Networks.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Market2Dish: Health-aware Food Recommendation.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Learning Low-Rank Sparse Representations With Robust Relationship Inference for Image Memorability Prediction.
IEEE Trans. Multim., 2021

A Dual Rank-Constrained Filter Pruning Approach for Convolutional Neural Networks.
IEEE Signal Process. Lett., 2021

Deep low-rank matrix factorization with latent correlation estimation for micro-video multi-label classification.
Inf. Sci., 2021

Learning robust affinity graph representation for multi-view clustering.
Inf. Sci., 2021

Joint nuclear- and ℓ2, 1-norm regularized heterogeneous tensor decomposition for robust classification.
Neurocomputing, 2021

Joint Co-Attention And Co-Reconstruction Representation Learning For One-Shot Object Detection.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Low-Rank Regularized Multi-Representation Learning for Fashion Compatibility Prediction.
IEEE Trans. Multim., 2020

Low-Rank Regularized Deep Collaborative Matrix Factorization for Micro-Video Multi-Label Classification.
IEEE Signal Process. Lett., 2020

Single image super-resolution via low-rank tensor representation and hierarchical dictionary learning.
Multim. Tools Appl., 2020

Predicting the popularity of micro-videos via a feature-discrimination transductive model.
Multim. Syst., 2020

DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection.
CoRR, 2020

Low-Rank Regularized Multimodal Representation for Micro-Video Event Detection.
IEEE Access, 2020

2019
Spatiotemporal Symmetric Convolutional Neural Network for Video Bit-Depth Enhancement.
IEEE Trans. Multim., 2019

BE-CALF: Bit-Depth Enhancement by Concatenating All Level Features of DNN.
IEEE Trans. Image Process., 2019

High-Order Temporal Correlation Model Learning for Time-Series Prediction.
IEEE Trans. Cybern., 2019

A Framework of Joint Low-Rank and Sparse Regression for Image Memorability Prediction.
IEEE Trans. Circuits Syst. Video Technol., 2019

Low-rank regularized tensor discriminant representation for image set classification.
Signal Process., 2019

A structure-transfer-driven temporal subspace clustering for video summarization.
Multim. Tools Appl., 2019

Tensor-driven low-rank discriminant analysis for image set classification.
Multim. Tools Appl., 2019

Wearable Computing for Internet of Things: A Discriminant Approach for Human Activity Recognition.
IEEE Internet Things J., 2019

Photo-realistic image bit-depth enhancement via residual transposed convolutional neural network.
Neurocomputing, 2019

Personalized Capsule Wardrobe Creation with Garment and User Modeling.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018
Low-Rank Multi-View Embedding Learning for Micro-Video Popularity Prediction.
IEEE Trans. Knowl. Data Eng., 2018

Low-Rank Regularized Heterogeneous Tensor Decomposition for Subspace Clustering.
IEEE Signal Process. Lett., 2018

Structured low-rank inverse-covariance estimation for visual sentiment distribution prediction.
Signal Process., 2018

Video logo removal detection based on sparse representation.
Multim. Tools Appl., 2018

Graph regularized low-rank tensor representation for feature selection.
J. Vis. Commun. Image Represent., 2018

Low-rank regularized multi-view inverse-covariance estimation for visual sentiment distribution prediction.
J. Vis. Commun. Image Represent., 2018

HyperSSR: A hypergraph based semi-supervised ranking method for visual search reranking.
Neurocomputing, 2018

Towards a sparse low-rank regression model for memorability prediction of images.
Neurocomputing, 2018

Sparsity-Based Image Inpainting Detection via Canonical Correlation Analysis With Low-Rank Constraints.
IEEE Access, 2018

AMFNet: An Adversarial Network for Median Filtering Detection.
IEEE Access, 2018

Improving Bit-Depth Expansion via Context-Aware MMSE Optimization (CAMO).
IEEE Access, 2018

2017
Predicting Image Memorability Through Adaptive Transfer Learning From External Sources.
IEEE Trans. Multim., 2017

SnapVideo: Personalized Video Generation for a Sightseeing Trip.
IEEE Trans. Cybern., 2017

A spatial-temporal iterative tensor decomposition technique for action and gesture recognition.
Multim. Tools Appl., 2017

2016
A Tensor-Driven Temporal Correlation Model for Video Sequence Classification.
IEEE Signal Process. Lett., 2016

Quality biased multimedia data retrieval in microblogs.
J. Vis. Commun. Image Represent., 2016

Visual search reranking with RElevant Local Discriminant Analysis.
Neurocomputing, 2016

2013
Ranking Graph Embedding for Learning to Rerank.
IEEE Trans. Neural Networks Learn. Syst., 2013

Rank canonical correlation analysis and its application in visual search reranking.
Signal Process., 2013

Ranking Fisher discriminant analysis.
Neurocomputing, 2013

2012
Image search reranking with Ranking Linear Discriminant Analysis.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011
Image Search Reranking with Transductive Learning to Rank Framework.
Proceedings of the Information Computing and Applications, 2011


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