Yao-zhong ZHANG
Yao-zhong ZHANG
Associate Professor, University of Tokyo
Verified email at
Cited by
Cited by
Multi-step regression learning for compositional distributional semantics
E Grefenstette, G Dinu, YZ Zhang, M Sadrzadeh, M Baroni
arXiv preprint arXiv:1301.6939, 2013
A novel ASXL1–OGT axis plays roles in H3K4 methylation and tumor suppression in myeloid malignancies
D Inoue, T Fujino, P Sheridan, Y Zhang, R Nagase, S Horikawa, Z Li, ...
Leukemia 32 (6), 1327-1337, 2018
A discriminative latent variable chinese segmenter with hybrid word/character information
X Sun, Y Zhang, T Matsuzaki, Y Tsuruoka, J Tsujii
Proceedings of Human Language Technologies: The 2009 Annual Conference of …, 2009
Functional restoration of bacteriomes and viromes by fecal microbiota transplantation
K Fujimoto, Y Kimura, JR Allegretti, M Yamamoto, Y Zhang, K Katayama, ...
Gastroenterology 160 (6), 2089-2102. e12, 2021
The transcriptional landscape of p53 signalling pathway
C Tanikawa, Y Zhang, R Yamamoto, Y Tsuda, M Tanaka, Y Funauchi, ...
EBioMedicine 20, 109-119, 2017
Probabilistic Chinese word segmentation with non-local information and stochastic training
X Sun, Y Zhang, T Matsuzaki, Y Tsuruoka, J Tsujii
Information Processing & Management 49 (3), 626-636, 2013
Nanopore basecalling from a perspective of instance segmentation
Y Zhang, A Akdemir, G Tremmel, S Imoto, S Miyano, T Shibuya, ...
BMC bioinformatics 21, 1-9, 2020
Sequence-specific bias correction for RNA-seq data using recurrent neural networks
Y Zhang, R Yamaguchi, S Imoto, S Miyano
BMC genomics 18, 1-6, 2017
RPI-BLENDER TAC-KBP2013 Knowledge Base Population System.
D Yu, H Li, T Cassidy, Q Li, H Huang, Z Chen, H Ji, Y Zhang, D Roth
TAC, 2013
Identification of bacteriophage genome sequences with representation learning
Z Bai, Y Zhang, S Miyano, R Yamaguchi, K Fujimoto, S Uematsu, S Imoto
Bioinformatics 38 (18), 4264-4270, 2022
Hpsg supertagging: A sequence labeling view
Y Zhang, T Matsuzaki, J Tsujii
Proceedings of the 11th International Conference on Parsing Technologies …, 2009
Method, program and system for finding correspondence between terms
T Nasukawa, RH Rudy, Y Tsuboi, YZ Zhang
US Patent 8,682,641, 2014
On the application of BERT models for nanopore methylation detection
Y Zhang, K Yamaguchi, S Hatakeyama, Y Furukawa, S Miyano, ...
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021
Identification of a p53-repressed gene module in breast cancer cells
T Miyamoto, C Tanikawa, V Yodsurang, YZ Zhang, S Imoto, R Yamaguchi, ...
Oncotarget 8 (34), 55821, 2017
Jun’ichi Tsujii. 2010. A simple approach for HPSG supertagging using dependency information
Y Zhang, T Matsuzaki
Proceedings of 11th Annual Conference of the North American Chapter of the …, 0
Forest-guided supertagger training
Y Zhang, T Matsuzaki, J Tsujii
Proceedings of the 23rd International Conference on Computational …, 2010
A novel approach to quantify calcifications of thyroid nodules in US images based on deep learning: predicting the risk of cervical lymph node metastasis in papillary thyroid …
J Wang, C Dong, Y Zhang, L Wang, X Yuan, M He, S Xu, Q Zhou, J Jiang
European radiology 33 (12), 9347-9356, 2023
Investigation of the BERT model on nucleotide sequences with non-standard pre-training and evaluation of different k-mer embeddings
Y Zhang, Z Bai, S Imoto
Bioinformatics 39 (10), btad617, 2023
Structure-guided supertagger learning
YZ Zhang, T Matsuzaki, J Tsujii
Natural Language Engineering 18 (2), 205-234, 2012
A simple approach for HPSG supertagging using dependency information
Y Zhang, T Matsuzaki, J Tsujii
Human Language Technologies: The 2010 Annual Conference of the North …, 2010
The system can't perform the operation now. Try again later.
Articles 1–20