| 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 | 114 | 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 | 60 | 2013 |
| 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 | 59 | 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 | 53 | 2017 |
| 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 | 51 | 2019 |
| Learning robust affinity graph representation for multi-view clustering P Jing, Y Su, Z Li, L Nie Information Sciences 544, 155-167, 2021 | 38 | 2021 |
| 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 | 38 | 2018 |
| 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 | 37 | 2019 |
| 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 | 28 | 2019 |
| 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 | 26 | 2019 |
| 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 | 24 | 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 | 21 | 2013 |
| 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 | 19 | 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 | 18 | 2012 |
| 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 | 15 | 2021 |
| 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 | 15 | 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 | 14 | 2019 |
| 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 | 12 | 2020 |
| 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 | 12 | 2018 |
| Ranking Fisher discriminant analysis Z Ji, P Jing, T Yu, Y Su, C Liu Neurocomputing 120, 54-60, 2013 | 12 | 2013 |
Liqiang Nie (聂礼强), IAPR FellowHarbin Institute of Technology (Shenzhen)Verified email at hit.edu.cn
