| Tensor ring decomposition with rank minimization on latent space: An efficient approach for tensor completion L Yuan, C Li, D Mandic, J Cao, Q Zhao Proceedings of the AAAI conference on artificial intelligence 33 (01), 9151-9158, 2019 | 159 | 2019 |
| Learning efficient tensor representations with ring-structured networks Q Zhao, M Sugiyama, L Yuan, A Cichocki ICASSP 2019-2019 IEEE international conference on acoustics, speech and …, 2019 | 101 | 2019 |
| Remote sensing image reconstruction using tensor ring completion and total variation W He, N Yokoya, L Yuan, Q Zhao IEEE Transactions on Geoscience and Remote Sensing 57 (11), 8998-9009, 2019 | 95 | 2019 |
| High-order tensor completion via gradient-based optimization under tensor train format L Yuan, Q Zhao, L Gui, J Cao Signal Processing: Image Communication 73, 53-61, 2019 | 66 | 2019 |
| Patients’ EEG data analysis via spectrogram image with a convolution neural network L Yuan, J Cao Intelligent Decision Technologies 2017: Proceedings of the 9th KES …, 2018 | 58 | 2018 |
| Higher-dimension tensor completion via low-rank tensor ring decomposition L Yuan, J Cao, X Zhao, Q Wu, Q Zhao 2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018 | 52 | 2018 |
| Completion of high order tensor data with missing entries via tensor-train decomposition L Yuan, Q Zhao, J Cao International Conference on Neural Information Processing, 222-229, 2017 | 32 | 2017 |
| Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm M Iwata, L Yuan, Q Zhao, Y Tabei, F Berenger, R Sawada, S Akiyoshi, ... Bioinformatics 35 (14), i191-i199, 2019 | 31 | 2019 |
| Randomized tensor ring decomposition and its application to large-scale data reconstruction L Yuan, C Li, J Cao, Q Zhao ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 29 | 2019 |
| High-order tensor completion for data recovery via sparse tensor-train optimization L Yuan, Q Zhao, J Cao 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 28 | 2018 |
| Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion L Yuan, C Li, J Cao, Q Zhao Machine Learning 109, 603-622, 2020 | 22 | 2020 |
| Guaranteed matrix completion under multiple linear transformations C Li, W He, L Yuan, Z Sun, Q Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 13 | 2019 |
| Total-variation-regularized tensor ring completion for remote sensing image reconstruction W He, L Yuan, N Yokoya ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 9 | 2019 |
| Higher-dimension tensor completion via low-rank tensor ring decomposition. In 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference … L Yuan, J Cao, X Zhao, Q Wu, Q Zhao APSIPA ASC, 1071-6, 2018 | 9 | 2018 |
| High-dimension tensor completion via gradient-based optimization under tensor-train format Q Zhao, L Yuan, L Gui, J Cao arXiv preprint arXiv:1804.01983, 2018 | 7 | 2018 |
| A hybrid brain computer interface based on audiovisual stimuli P300 X Zhao, G Cui, L Yuan, T Tanaka, Q Zhao, J Cao 2018 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia …, 2018 | 5 | 2018 |
| 圆盘式磁流变制动器仿真优化设计 李志华， 喻军， 曾宁， 原龙昊 农业机械学报 46 (10), 364-369, 2015 | 5 | 2015 |
| Quasi-brain-death EEG diagnosis based on tensor train decomposition Q Chen, L Yuan, Y Miao, Q Zhao, T Tanaka, J Cao Advances in Neural Networks–ISNN 2019: 16th International Symposium on …, 2019 | 1 | 2019 |
| Tensor-train 分解アルゴリズムによる高次テンソルデータ解析: 薬物応答遺伝子発現データへの応用 岩田通夫， 田部井靖生， 澤田隆介， 秋好紗弥香， 山西芳裕 日本計算機統計学会大会論文集 日本計算機統計学会第 32 回大会実行委員会, 76-77, 2018 | | 2018 |
| Multi-domain unified modelling and control parameters optimisation of magnetorheological brake based on Modelica Z Li, L Yuan, C Nie International Journal of Materials and Structural Integrity 10 (1-3), 81-98, 2016 | | 2016 |
Qibin ZhaoRIKEN AIPכתובת אימייל מאומתת בדומיין postman.riken.jp
