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Longhao Yuan
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2020 – today
- 2020
- [j4]Longhao Yuan
, Chao Li, Jianting Cao, Qibin Zhao:
Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion. Mach. Learn. 109(3): 603-622 (2020)
2010 – 2019
- 2019
- [j3]Michio Iwata, Longhao Yuan, Qibin Zhao, Yasuo Tabei, Francois Berenger, Ryusuke Sawada, Sayaka Akiyoshi, Momoko Hamano, Yoshihiro Yamanishi:
Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm. Bioinform. 35(14): i191-i199 (2019) - [j2]Longhao Yuan
, Qibin Zhao
, Lihua Gui, Jianting Cao:
High-order tensor completion via gradient-based optimization under tensor train format. Signal Process. Image Commun. 73: 53-61 (2019) - [j1]Wei He
, Naoto Yokoya
, Longhao Yuan
, Qibin Zhao
:
Remote Sensing Image Reconstruction Using Tensor Ring Completion and Total Variation. IEEE Trans. Geosci. Remote. Sens. 57(11): 8998-9009 (2019) - [c11]Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao:
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion. AAAI 2019: 9151-9158 - [c10]Chao Li, Wei He
, Longhao Yuan, Zhun Sun, Qibin Zhao:
Guaranteed Matrix Completion Under Multiple Linear Transformations. CVPR 2019: 11136-11145 - [c9]Longhao Yuan, Chao Li, Jianting Cao, Qibin Zhao:
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction. ICASSP 2019: 2127-2131 - [c8]Wei He
, Longhao Yuan, Naoto Yokoya:
Total-variation-regularized Tensor Ring Completion for Remote Sensing Image Reconstruction. ICASSP 2019: 8603-8607 - [c7]Qibin Zhao, Masashi Sugiyama
, Longhao Yuan, Andrzej Cichocki:
Learning Efficient Tensor Representations with Ring-structured Networks. ICASSP 2019: 8608-8612 - [c6]Qipeng Chen, Longhao Yuan, Yao Miao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao:
Quasi-Brain-Death EEG Diagnosis Based on Tensor Train Decomposition. ISNN (2) 2019: 501-511 - [i7]Longhao Yuan, Chao Li, Jianting Cao, Qibin Zhao:
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction. CoRR abs/1901.01652 (2019) - 2018
- [c5]Longhao Yuan, Jianting Cao, Xuyang Zhao, Qiang Wu, Qibin Zhao:
Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition. APSIPA 2018: 1071-1076 - [c4]Longhao Yuan, Qibin Zhao, Jianting Cao:
High-Order Tensor Completion for Data Recovery via Sparse Tensor-Train Optimization. ICASSP 2018: 1258-1262 - [c3]Qibin Zhao, Masashi Sugiyama, Longhao Yuan, Andrzej Cichocki:
Learning Efficient Tensor Representations with Ring Structure Networks. ICLR (Workshop) 2018 - [i6]Longhao Yuan, Qibin Zhao, Jianting Cao:
High-dimension Tensor Completion via Gradient-based Optimization Under Tensor-train Format. CoRR abs/1804.01983 (2018) - [i5]Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao:
Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion. CoRR abs/1805.08468 (2018) - [i4]Longhao Yuan, Jianting Cao, Qiang Wu, Qibin Zhao:
Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition. CoRR abs/1807.01589 (2018) - [i3]Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao:
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion. CoRR abs/1809.02288 (2018) - 2017
- [c2]Longhao Yuan, Qibin Zhao, Jianting Cao:
Completion of High Order Tensor Data with Missing Entries via Tensor-Train Decomposition. ICONIP (1) 2017: 222-229 - [c1]Longhao Yuan, Jianting Cao:
Patients' EEG Data Analysis via Spectrogram Image with a Convolution Neural Network. KES-IDT (1) 2017: 13-21 - [i2]Longhao Yuan, Qibin Zhao, Jianting Cao:
Completion of High Order Tensor Data with Missing Entries via Tensor-train Decomposition. CoRR abs/1709.02641 (2017) - [i1]Longhao Yuan, Qibin Zhao, Jianting Cao:
High-order Tensor Completion for Data Recovery via Sparse Tensor-train Optimization. CoRR abs/1711.02271 (2017)
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