| 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 | 80 | 2018 |
| 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 | 54 | 2013 |
| 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 | 39 | 2019 |
| 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 | 35 | 2017 |
| 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 | 27 | 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 | 22 | 2018 |
| 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 | 20 | 2013 |
| 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 | 18 | 2012 |
| 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 | 16 | 2019 |
| Ranking Fisher discriminant analysis Z Ji, P Jing, T Yu, Y Su, C Liu Neurocomputing 120, 54-60, 2013 | 12 | 2013 |
| 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 | 11 | 2019 |
| 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 | 11 | 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 | 10 | 2018 |
| SnapVideo: Personalized Video Generation for a Sightseeing Trip L Zhang, P Jing, Y Su, C Zhang, L Shao IEEE Transactions on Cybernetics 47 (11), 3866 - 3878, 2017 | 8 | 2017 |
| Visual search reranking with relevant local discriminant analysis P Jing, Z Ji, Y Yu, Z Zhang Neurocomputing 173, 172-180, 2016 | 8 | 2016 |
| 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 | 7 | 2020 |
| 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 | 7 | 2019 |
| A spatial-temporal iterative tensor decomposition technique for action and gesture recognition Y Su, H Wang, P Jing, C Xu Multimedia Tools and Applications 76 (8), 10635-10652, 2017 | 7 | 2017 |
| A Tensor-Driven Temporal Correlation Model for Video Sequence Classification J Zhang, C Xu, P Jing, C Zhang, Y Su IEEE Signal Processing Letters 23 (9), 1246 - 1249, 2016 | 7 | 2016 |
| 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 | 6 | 2019 |
Liqiang Nie (聂礼强)Shandong UniversityVerified email at sdu.edu.cn
