Peiguang Jing
Peiguang Jing
Потвърден имейл адрес: tju.edu.cn - Начална страница
Low-rank Multi-view Embedding Learning for Micro-video Popularity Prediction
P Jing, Y Su, L Nie, X Bai, J Liu, M Wang
IEEE Transactions on Knowledge and Data Engineering 30 (8), 1519-1532, 2018
Wearable Computing for Internet of Things: A Discriminant Approach for Human Activity Recognition
W Lu, F Fan, J Chu, P Jing, Y Su
IEEE Internet of Things Journal 6 (2), 2749-2759, 2019
Ranking Graph Embedding for Learning to Rerank
Y Pang, Z Ji, P Jing, X Li
IEEE Transactions on Neural Networks and Learning Systems 24 (8), 1292-1303, 2013
Predicting Image Memorability Through Adaptive Transfer Learning from External Sources
P Jing, Y Su, L Nie, H Gu
IEEE Transactions on Multimedia 19 (5), 1050 - 1062, 2017
Market2Dish: health-aware food recommendation
W Wang, LY Duan, H Jiang, P Jing, X Song, L Nie
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2021
A Framework of Joint Low-rank and Sparse Regression for Image Memorability Prediction
P Jing, Y Su, L Nie, H Gu, J Liu, M Wang
IEEE Transactions on Circuits and Systems for Video Technology 29 (5), 1296-1309, 2019
High-order Temporal Correlation Model Learning for Time-series Prediction
P Jing, Y Su, X Jin, C Zhang
IEEE Transactions on Cybernetics 49 (6), 2385-2397, 2019
Learning Robust Affinity Graph Representation for Multi-view Clustering
P Jing, Y Su, Z Li, L Nie
Information Sciences 544, 155-167, 2021
Personalized Capsule Wardrobe Creation with Garment and User Modeling
X Dong, X Song, F Feng, P Jing, XS Xu, L Nie
Proceedings of the 27th ACM International Conference on Multimedia, 302-310, 2019
Low-rank Regularized Heterogeneous Tensor Decomposition for Subspace Clustering
J Zhang, X Li, P Jing, J Liu, Y Su
IEEE Signal Processing Letters 25 (3), 333-337, 2018
Sparsity-based image inpainting detection via canonical correlation analysis with low-rank constraints
X Jin, Y Su, L Zou, Y Wang, P Jing, ZJ Wang
IEEE Access 6, 49967-49978, 2018
Photo-realistic Image Bit-depth Enhancement via Residual Transposed Convolutional Neural Network
Y Su, W Sun, J Liu, G Zhai, P Jing
Neurocomputing 347, 200-211, 2019
BE-CALF: Bit-depth enhancement by concatenating all level features of DNN
J Liu, W Sun, Y Su, P Jing, X Yang
IEEE Transactions on Image Processing 28 (10), 4926-4940, 2019
Rank canonical correlation analysis and its application in visual search reranking
Z Ji, P Jing, Y Su, Y Pang
Signal Processing 93 (8), 2352-2360, 2013
Low-rank Regularized Multi-representation Learning for Fashion Compatibility Prediction
P Jing, S Ye, L Nie, J Liu, Y Su
IEEE Transactions on Multimedia 22 (6), 1555 - 1566, 2020
Low-rank regularized deep collaborative matrix factorization for micro-video multi-label classification
Y Su, D Hong, Y Li, P Jing
IEEE Signal Processing Letters 27, 740-744, 2020
Low-rank regularized tensor discriminant representation for image set classification
P Jing, Y Su, Z Li, J Liu, L Nie
Signal Processing 156, 62-70, 2019
Scene image classification with biased spatial block and pLSA
Z Ji, P Jing, J Wang, Y Su
International Journal of Digital Content Technology and its Applications 6 …, 2012
A Novel Deep Learning Approach for Diagnosing Alzheimer's Disease Based on Eye-tracking Data
J Sun, Y Liu, H Wu, P Jing, Y Ji
Frontiers in Human Neuroscience, 2022
HyperSSR: A hypergraph based semi-supervised ranking method for visual search reranking
P Jing, Y Su, C Xu, L Zhang
Neurocomputing 274, 50-57, 2018
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