Image Search Reranking with Transductive Learning to Rank Framework. - Jing Zhang 038; Peiguang Jing; Zhong Ji; Yuting Su 001 (ICICA (2), 2011)

Image search reranking with Ranking Linear Discriminant Analysis. - Tianshi Yu; Zhong Ji; Peiguang Jing; Yuting Su 001 (ICMLC, 2012)

Ranking Fisher discriminant analysis. - Zhong Ji; Peiguang Jing; Tianshi Yu; Yuting Su 001; Changshu Liu (Neurocomputing, 2013)

Rank canonical correlation analysis and its application in visual search reranking. - Zhong Ji; Peiguang Jing; Yuting Su 001; Yanwei Pang (Signal Process., 2013)

Ranking Graph Embedding for Learning to Rerank. - Yanwei Pang; Zhong Ji; Peiguang Jing; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

Visual search reranking with RElevant Local Discriminant Analysis. - Peiguang Jing; Zhong Ji; Yunlong Yu; Zhongfei Zhang (Neurocomputing, 2016)

Quality biased multimedia data retrieval in microblogs. - Shuhan Qi; Peiguang Jing; Xuan Wang 002; Liqiang Nie (J. Vis. Commun. Image Represent., 2016)

A Tensor-Driven Temporal Correlation Model for Video Sequence Classification. - Jing Zhang 038; Chuan-Zhong Xu; Peiguang Jing; Chengqian Zhang; Yuting Su 001 (IEEE Signal Process. Lett., 2016)

A spatial-temporal iterative tensor decomposition technique for action and gesture recognition. - Yuting Su 001; Haiyi Wang; Peiguang Jing; Chuan-Zhong Xu (Multim. Tools Appl., 2017)

SnapVideo: Personalized Video Generation for a Sightseeing Trip. - Luming Zhang; Peiguang Jing; Yuting Su 001; Chao Zhang 014; Ling Shao 001 (IEEE Trans. Cybern., 2017)

Predicting Image Memorability Through Adaptive Transfer Learning From External Sources. - Peiguang Jing; Yuting Su 001; Liqiang Nie; Huimin Gu (IEEE Trans. Multim., 2017)

Improving Bit-Depth Expansion via Context-Aware MMSE Optimization (CAMO). - Jing Liu 002; Wanning Sun; Peiguang Jing; Jiexiao Yu; Yuting Su 001 (IEEE Access, 2018)

AMFNet: An Adversarial Network for Median Filtering Detection. - Xiao Jin; Peiguang Jing; Yuting Su 001 (IEEE Access, 2018)

Sparsity-Based Image Inpainting Detection via Canonical Correlation Analysis With Low-Rank Constraints. - Xiao Jin; Yuting Su 001; Liang Zou; Yongwei Wang; Peiguang Jing; Z. Jane Wang 001 (IEEE Access, 2018)

Towards a sparse low-rank regression model for memorability prediction of images. - Jinghui Chu; Huimin Gu; Yuting Su 001; Peiguang Jing (Neurocomputing, 2018)

HyperSSR: A hypergraph based semi-supervised ranking method for visual search reranking. - Peiguang Jing; Yuting Su 001; Chuan-Zhong Xu; Luming Zhang (Neurocomputing, 2018)

Low-rank regularized multi-view inverse-covariance estimation for visual sentiment distribution prediction. - Anan Liu; Yingdi Shi; Peiguang Jing; Jing Liu 002; Yuting Su 001 (J. Vis. Commun. Image Represent., 2018)

Graph regularized low-rank tensor representation for feature selection. - Yuting Su 001; Xu Bai; Wu Li; Peiguang Jing; Jing Zhang 038; Jing Liu 002 (J. Vis. Commun. Image Represent., 2018)

Video logo removal detection based on sparse representation. - Xiao Jin; Yuting Su 001; Liang Zou; Chengqian Zhang; Peiguang Jing; Xuemeng Song (Multim. Tools Appl., 2018)

Structured low-rank inverse-covariance estimation for visual sentiment distribution prediction. - Anan Liu; Yingdi Shi; Peiguang Jing; Jing Liu 002; Yuting Su 001 (Signal Process., 2018)

Low-Rank Regularized Heterogeneous Tensor Decomposition for Subspace Clustering. - Jing Zhang 038; Xinhui Li; Peiguang Jing; Jing Liu 002; Yuting Su 001 (IEEE Signal Process. Lett., 2018)

Low-Rank Multi-View Embedding Learning for Micro-Video Popularity Prediction. - Peiguang Jing; Yuting Su 001; Liqiang Nie; Xu Bai; Jing Liu 002; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2018)

Personalized Capsule Wardrobe Creation with Garment and User Modeling. - Xue Dong; Xuemeng Song; Fuli Feng; Peiguang Jing; Xin-Shun Xu; Liqiang Nie (ACM Multimedia, 2019)

Photo-realistic image bit-depth enhancement via residual transposed convolutional neural network. - Yuting Su 001; Wanning Sun; Jing Liu 002; Guangtao Zhai; Peiguang Jing (Neurocomputing, 2019)

Wearable Computing for Internet of Things: A Discriminant Approach for Human Activity Recognition. - Wei Lu 026; Fugui Fan; Jinghui Chu; Peiguang Jing; Yuting Su 001 (IEEE Internet Things J., 2019)

Tensor-driven low-rank discriminant analysis for image set classification. - Jing Zhang 038; Zhengnan Li; Peiguang Jing; Ye Liu 002; Yuting Su 001 (Multim. Tools Appl., 2019)

A structure-transfer-driven temporal subspace clustering for video summarization. - Jing Zhang 038; Yue Shi; Peiguang Jing; Jing Liu 002; Yuting Su 001 (Multim. Tools Appl., 2019)

Low-rank regularized tensor discriminant representation for image set classification. - Peiguang Jing; Yuting Su 001; Zhengnan Li; Jing Liu 002; Liqiang Nie (Signal Process., 2019)

A Framework of Joint Low-Rank and Sparse Regression for Image Memorability Prediction. - Peiguang Jing; Yuting Su 001; Liqiang Nie; Huimin Gu; Jing Liu 002; Meng Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

High-Order Temporal Correlation Model Learning for Time-Series Prediction. - Peiguang Jing; Yuting Su 001; Xiao Jin; Chengqian Zhang (IEEE Trans. Cybern., 2019)

BE-CALF: Bit-Depth Enhancement by Concatenating All Level Features of DNN. - Jing Liu 002; Wanning Sun; Yuting Su 001; Peiguang Jing; Xiaokang Yang 001 (IEEE Trans. Image Process., 2019)

Spatiotemporal Symmetric Convolutional Neural Network for Video Bit-Depth Enhancement. - Jing Liu 002; Pingping Liu; Yuting Su 001; Peiguang Jing; Xiaokang Yang 001 (IEEE Trans. Multim., 2019)

Low-Rank Regularized Multimodal Representation for Micro-Video Event Detection. - Jing Zhang 038; Yuting Wu; Jinghui Liu; Peiguang Jing; Yuting Su 001 (IEEE Access, 2020)

DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection. - Yuting Su 001; Weikang Wang 002; Jing Liu 002; Peiguang Jing; Xiaokang Yang 001 (CoRR, 2020)

Predicting the popularity of micro-videos via a feature-discrimination transductive model. - Yuting Su 001; Yang Li 108; Xu Bai; Peiguang Jing (Multim. Syst., 2020)

Single image super-resolution via low-rank tensor representation and hierarchical dictionary learning. - Peiguang Jing; Weili Guan; Xu Bai; Hongbin Guo; Yuting Su 001 (Multim. Tools Appl., 2020)

Low-Rank Regularized Deep Collaborative Matrix Factorization for Micro-Video Multi-Label Classification. - Yuting Su 001; Daozheng Hong; Yang Li 108; Peiguang Jing (IEEE Signal Process. Lett., 2020)

Low-Rank Regularized Multi-Representation Learning for Fashion Compatibility Prediction. - Peiguang Jing; Shu Ye; Liqiang Nie; Jing Liu 002; Yuting Su 001 (IEEE Trans. Multim., 2020)

Joint Co-Attention And Co-Reconstruction Representation Learning For One-Shot Object Detection. - Jinghui Chu; Jiawei Feng; Peiguang Jing; Wei Lu 026 (ICIP, 2021)

Joint nuclear- and ℓ2, 1-norm regularized heterogeneous tensor decomposition for robust classification. - Peiguang Jing; Yaxin Li; Xinhui Li; Yuting Wu; Yuting Su 001 (Neurocomputing, 2021)

Learning robust affinity graph representation for multi-view clustering. - Peiguang Jing; Yuting Su 001; Zhengnan Li; Liqiang Nie (Inf. Sci., 2021)

Deep low-rank matrix factorization with latent correlation estimation for micro-video multi-label classification. - Yuting Su 001; Junyu Xu; Daozheng Hong; Fugui Fan; Jing Zhang 038; Peiguang Jing (Inf. Sci., 2021)

A Dual Rank-Constrained Filter Pruning Approach for Convolutional Neural Networks. - Fugui Fan; Yuting Su 001; Peiguang Jing; Wei Lu 026 (IEEE Signal Process. Lett., 2021)

Learning Low-Rank Sparse Representations With Robust Relationship Inference for Image Memorability Prediction. - Peiguang Jing; Yuechen Shang; Liqiang Nie; Yuting Su 001; Jing Liu 002; Meng Wang 001 (IEEE Trans. Multim., 2021)

Market2Dish: Health-aware Food Recommendation. - Wenjie Wang 007; Ling-Yu Duan; Hao Jiang; Peiguang Jing; Xuemeng Song; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2021)

EEG Emotion Recognition Based on Self-attention Dynamic Graph Neural Networks. - Chao Li; Yong Sheng; Haishuai Wang; Mingyue Niu; Peiguang Jing; Ziping Zhao 001; Björn W. Schuller (EMBC, 2022)

Video frame deletion detection based on time-frequency analysis. - Xiao Jin; Yuting Su 001; Peiguang Jing (J. Vis. Commun. Image Represent., 2022)

Visual Sentiment Classification via Low-Rank Regularization and Label Relaxation. - Xiao Jin; Peiguang Jing; Jiesheng Wu; Jing Xu 008; Yuting Su 001 (IEEE Trans. Cogn. Dev. Syst., 2022)

Residual-Guided Multiscale Fusion Network for Bit-Depth Enhancement. - Jing Liu 002; Xin Wen; Weizhi Nie; Yuting Su 001; Peiguang Jing; Xiaokang Yang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Tripartite Graph Regularized Latent Low-Rank Representation for Fashion Compatibility Prediction. - Peiguang Jing; Jing Zhang 038; Liqiang Nie; Shu Ye; Jing Liu 002; Yuting Su 001 (IEEE Trans. Multim., 2022)

A Novel Channel Pruning Approach based on Local Attention and Global Ranking for CNN Model Compression. - Wei Lu 026; Yang Jiang; Peiguang Jing; Jinghui Chu; Fugui Fan (ICME, 2023)

StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning. - Peiguang Jing; Xianyi Liu; Ji Wang; Yinwei Wei; Liqiang Nie; Yuting Su 001 (ACM Multimedia, 2023)

A Multimodal Aggregation Network With Serial Self-Attention Mechanism for Micro-Video Multi-Label Classification. - Wei Lu 026; Jiaxin Lin; Peiguang Jing; Yuting Su 001 (IEEE Signal Process. Lett., 2023)

A Novel Integrated Eye-Tracking System With Stereo Stimuli for 3-D Gaze Estimation. - Jinglin Sun; Zhipeng Wu; Han Wang 039; Peiguang Jing; Yu Liu 004 (IEEE Trans. Instrum. Meas., 2023)

Category-Aware Multimodal Attention Network for Fashion Compatibility Modeling. - Peiguang Jing; Kai Cui; Weili Guan; Liqiang Nie; Yuting Su 001 (IEEE Trans. Multim., 2023)

Learning Dual Low-Rank Representation for Multi-Label Micro-Video Classification. - Wei Lu 026; Desheng Li; Liqiang Nie; Peiguang Jing; Yuting Su 001 (IEEE Trans. Multim., 2023)

Exploiting Low-Rank Latent Gaussian Graphical Model Estimation for Visual Sentiment Distributions. - Yuting Su 001; Wei Zhao; Peiguang Jing; Liqiang Nie (IEEE Trans. Multim., 2023)

Edge-aware object pixel-level representation tracking. - Peiguang Jing; Zijian Huang 010; Jing Liu 002; Yating Wang; Jiexiao Yu (J. Vis. Commun. Image Represent., 2023)

Self-supervised deep partial adversarial network for micro-video multimodal classification. - Yun Li 006; Shuyi Liu; Xuejun Wang; Peiguang Jing (Inf. Sci., 2023)

Comprehensive Ocean Information-Enabled AUV Motion Planning Based on Reinforcement Learning. - Yun Li 006; Xinqi He; Zhenkun Lu; Peiguang Jing; Yishan Su (Remote. Sens., 2023)

Internet of Things for Diagnosis of Alzheimer's Disease: A Multimodal Machine Learning Approach Based on Eye Movement Features. - Yunpeng Yin; Han Wang 039; Shuai Liu; Jinglin Sun; Peiguang Jing; Yu Liu 004 (IEEE Internet Things J., 2023)

Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation. - Jing Liu 002; Lele Sun; Weizhi Nie; Peiguang Jing; Yuting Su 001 (AAAI, 2024)

Depth-induced Saliency Comparison Network for Diagnosis of Alzheimer's Disease via Jointly Analysis of Visual Stimuli and Eye Movements. - Yu Liu 004; Wenlin Zhang; Shaochu Wang; Fangyu Zuo; Peiguang Jing; Yong Ji (CoRR, 2024)

Dual Preference Perception Network for Fashion Recommendation in Social Internet of Things. - Peiguang Jing; Kai Zhang; Xianyi Liu; Yun Li 006; Yu Liu 004; Yuting Su 001 (IEEE Internet Things J., 2024)

Multimodal deep hierarchical semantic-aligned matrix factorization method for micro-video multi-label classification. - Fugui Fan; Yuting Su 001; Yun Liu; Peiguang Jing; Kaihua Qu; Yu Liu 004 (Inf. Process. Manag., 2024)

Multimodal semantic enhanced representation network for micro-video event detection. - Yun Li 006; Xianyi Liu; Lijuan Zhang; Haoyu Tian; Peiguang Jing (Knowl. Based Syst., 2024)

Adaptive proposal network based on generative adversarial learning for weakly supervised temporal sentence grounding. - Weikang Wang 002; Yuting Su 001; Jing Liu 002; Peiguang Jing (Pattern Recognit. Lett., 2024)

Collaborative spatial-temporal video salient object detection with cross attention transformer. - Yuting Su 001; Weikang Wang 002; Jing Liu 002; Peiguang Jing (Signal Process., 2024)

Deep Matrix Factorization With Complementary Semantic Aggregation for Micro-Video Multi-Label Classification. - Peiguang Jing; Xiaoyu Liu; Xuehui Wang; Yuting Su 001 (IEEE Signal Process. Lett., 2024)

SADCMF: Self-Attentive Deep Consistent Matrix Factorization for Micro-Video Multi-Label Classification. - Fugui Fan; Peiguang Jing; Liqiang Nie; Haoyu Gu; Yuting Su 001 (IEEE Trans. Multim., 2024)

Dual-Domain Aligned Deep Hierarchical Matrix Factorization Method for Micro-Video Multi-Label Classification. - Fugui Fan; Yuting Su 001; Liqiang Nie; Peiguang Jing; Daozheng Hong; Yu Liu 004 (IEEE Trans. Multim., 2024)

Multimodal Progressive Modulation Network for Micro-Video Multi-Label Classification. - Peiguang Jing; Xuan Zhao; Fugui Fan; Fan Yang; Yun Li 006; Yuting Su 001 (IEEE Trans. Multim., 2024)

VMemNet: A Deep Collaborative Spatial-Temporal Network With Attention Representation for Video Memorability Prediction. - Wei Lu 026; Yujia Zhai; Jiaze Han; Peiguang Jing; Yu Liu 004; Yuting Su 001 (IEEE Trans. Multim., 2024)

Collaborative representation based cross-domain semantic transfer for vehicle re-identification. - Yun Li 006; Fan Yang; Yudou Tian; Xuejun Wang; Qi Chen; Peiguang Jing (Neurocomputing, 2024)

Multimodal High-Order Relationship Inference Network for Fashion Compatibility Modeling in Internet of Multimedia Things. - Peiguang Jing; Kai Cui; Jing Zhang 038; Yun Li 006; Yuting Su 001 (IEEE Internet Things J., 2024)

Deep Learning-Based Eye-Tracking Analysis for Diagnosis of Alzheimer's Disease Using 3D Comprehensive Visual Stimuli. - Fangyu Zuo; Peiguang Jing; Jinglin Sun; Jizhong Duan; Yong Ji; Yu Liu 004 (IEEE J. Biomed. Health Informatics, 2024)

Multimodal Attentive Representation Learning for Micro-video Multi-label Classification. - Peiguang Jing; Xianyi Liu; Lijuan Zhang; Yun Li 006; Yu Liu 004; Yuting Su 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

A deep low-rank semantic factorization method for micro-video multi-label classification. - Fugui Fan; Yuting Su 001; Yu Liu 004; Peiguang Jing; Kaihua Qu (Multim. Syst., 2024)

Research on type-aware fashion compatibility prediction based on a hybrid attention mechanism. - Yun Li 006; GuoXiang Li; Jing Zhang 038; Peiguang Jing; Xingyu Lu (Multim. Tools Appl., 2024)

Deep Multi-Modal Hashing With Semantic Enhancement for Multi-Label Micro-Video Retrieval. - Peiguang Jing; Haoyi Sun; Liqiang Nie; Yun Li 006; Yuting Su 001 (IEEE Trans. Knowl. Data Eng., 2024)

Context-aware focal alignment network for micro-video multi-label classification. - Bin Yuan; Weiheng Yao; Peiguang Jing; Jing Zhang 038; Kim Fung Tsang; Shuqiang Wang (Pattern Anal. Appl., 2024)

VIIS: Visible and Infrared Information Synthesis for Severe Low-Light Image Enhancement. - Chen Zhao; Mengyuan Yu; Fan Yang; Peiguang Jing (WACV, 2025)

Accelerating Control Flow on CGRAs via Speculative Iteration Execution. - Heng Cao; Zhipeng Wu; Dejian Li; Peiguang Jing; Sio-Hang Pun; Yu Liu 004 (IEEE Comput. Archit. Lett., 2025)

Adversarial neighbor perception network with feature distillation for anomaly detection. - Yuting Su 001; Enqi Su; Weiming Wang 002; Peiguang Jing; Dubuke Ma; Fu Lee Wang (Expert Syst. Appl., 2025)

LUFormer : A luminance-informed localized transformer with frequency augmentation for nighttime flare removal. - Wei Lu 026; He Zhao; Dubuke Ma; Peiguang Jing (Neural Networks, 2025)

AMDANet: Augmented Multiscale Difference Aggregation Network for Image Change Detection. - Yuting Su 001; Peng Ma; Weiming Wang 002; Shaochu Wang; Yuting Wu; Yun Li 006; Peiguang Jing (IEEE Trans. Geosci. Remote. Sens., 2025)

Multimodal Dual-Graph Collaborative Network With Serial Attentive Aggregation Mechanism for Micro-Video Multi-Label Classification. - Yu Qiao; Wei Lu 026; Peiguang Jing; Weiming Wang 002; Yuting Su 001 (IEEE Trans. Multim., 2025)

SubMap: A Partial Mapping Strategy for CGRA Based on sub-CGRA Exploration. - Ning Li; Dejian Li; Zhipeng Wu; Peiguang Jing; Sio Hang Pun; Yu Liu 004 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)