Longhao Yuan
Longhao Yuan
Saitama Institute of Technology
Email verificata su sit.ac.jp
Citata da
Citata da
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
Patients’ EEG data analysis via spectrogram image with a convolution neural network
L Yuan, J Cao
International Conference on Intelligent Decision Technologies, 13-21, 2017
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, 9151-9158, 2019
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
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
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
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
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
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
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
Simulation and optimization design of disc-type magnetorheological brake
LI Zhi-hua, Y Jun, Z Ning, Y Longhao
Transactions of the Chinese Society for Agricultural Machinery 10 (46), 364-369, 2015
李志华, 喻军, 曾宁, 原龙昊
农业机械学报 46 (10), 364-369, 2015
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
Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion
L Yuan, C Li, J Cao, Q Zhao
Machine Learning, 1-20, 2019
Guaranteed matrix completion under multiple linear transformations
C Li, W He, L Yuan, Z Sun, Q Zhao
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
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
Quasi-Brain-Death EEG Diagnosis Based on Tensor Train Decomposition
Q Chen, L Yuan, Y Miao, Q Zhao, T Tanaka, J Cao
International Symposium on Neural Networks, 501-511, 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
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
基于 Modelica 的磁流变制动器多领域建模与仿真.
李志华, 原龙昊, 龚友平
Journal of Mechanical & Electrical Engineering 32 (12), 2015
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