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Shuji Suzuki
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2020 – today
- 2024
- [i9]Kenshin Abe, Kaizaburo Chubachi, Yasuhiro Fujita, Yuta Hirokawa, Kentaro Imajo, Toshiki Kataoka, Hiroyoshi Komatsu, Hiroaki Mikami, Tsuguo Mogami, Shogo Murai, Kosuke Nakago, Daisuke Nishino, Toru Ogawa, Daisuke Okanohara, Yoshihiko Ozaki, Shotaro Sano, Shuji Suzuki, Tianqi Xu, Toshihiko Yanase:
PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency. CoRR abs/2410.07563 (2024) - 2022
- [c10]Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi:
A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective? ECML/PKDD (3) 2022: 477-492 - 2021
- [i8]Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi:
A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training. CoRR abs/2108.11018 (2021) - 2020
- [c9]Shogo Murai, Hiroaki Mikami, Masanori Koyama, Shuji Suzuki, Takuya Akiba:
Online-Codistillation Meets LARS, Going beyond the Limit of Data Parallelism in Deep Learning. DLS@SC 2020: 1-9 - [i7]Yuta Tokuoka, Shuji Suzuki, Yohei Sugawara:
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation. CoRR abs/2005.04906 (2020)
2010 – 2019
- 2019
- [c8]Yusuke Niitani, Takuya Akiba, Tommi Kerola, Toru Ogawa, Shotaro Sano, Shuji Suzuki:
Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects. CVPR 2019: 6510-6518 - [c7]Yuta Tokuoka
, Shuji Suzuki, Yohei Sugawara:
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation. ICBBE 2019: 44-48 - [c6]Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent:
Chainer: A Deep Learning Framework for Accelerating the Research Cycle. KDD 2019: 2002-2011 - [i6]Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent:
Chainer: A Deep Learning Framework for Accelerating the Research Cycle. CoRR abs/1908.00213 (2019) - [i5]Yusuke Niitani, Toru Ogawa, Shuji Suzuki, Takuya Akiba, Tommi Kerola, Kohei Ozaki, Shotaro Sano:
Team PFDet's Methods for Open Images Challenge 2019. CoRR abs/1910.11534 (2019) - 2018
- [i4]Takuya Akiba, Tommi Kerola, Yusuke Niitani, Toru Ogawa, Shotaro Sano, Shuji Suzuki:
PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection Track. CoRR abs/1809.00778 (2018) - [i3]Yusuke Niitani, Takuya Akiba, Tommi Kerola, Toru Ogawa, Shotaro Sano, Shuji Suzuki:
Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects. CoRR abs/1811.10862 (2018) - 2017
- [c5]Yasuhiko Kanemasa, Shuji Suzuki, Atsushi Kubota, Junichi Higuchi:
Single-View Performance Monitoring of On-Line Applications Running on a Cloud. CLOUD 2017: 350-358 - [i2]Takuya Akiba, Keisuke Fukuda
ChainerMN: Scalable Distributed Deep Learning Framework. CoRR abs/1710.11351 (2017) - [i1]Takuya Akiba, Shuji Suzuki, Keisuke Fukuda:
Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes. CoRR abs/1711.04325 (2017) - 2015
- [j7]Shuji Suzuki, Masanori Kakuta, Takashi Ishida
Faster sequence homology searches by clustering subsequences. Bioinform. 31(8): 1183-1190 (2015) - [j6]Takehiro Shimoda, Shuji Suzuki, Masahito Ohue
Protein-protein docking on hardware accelerators: comparison of GPU and MIC architectures. BMC Syst. Biol. 9(S-1): S6 (2015) - 2014
- [j5]Masahito Ohue
MEGADOCK 4.0: an ultra-high-performance protein-protein docking software for heterogeneous supercomputers. Bioinform. 30(22): 3281-3283 (2014) - [j4]Satoshi Matsuoka, Hitoshi Sato, Osamu Tatebe, Michihiro Koibuchi, Ikki Fujiwara
Extreme Big Data (EBD): Next Generation Big Data Infrastructure Technologies Towards Yottabyte/Year. Supercomput. Front. Innov. 1(2): 89-107 (2014) - 2013
- [c4]Takehiro Shimoda, Takashi Ishida, Shuji Suzuki, Masahito Ohue
MEGADOCK-GPU: Acceleration of Protein-Protein Docking Calculation on GPUs. BCB 2013: 883 - 2012
- [c3]Shuji Suzuki, Takashi Ishida, Yutaka Akiyama
An Ultra-Fast Computing Pipeline for Metagenome Analysis with Next-Generation DNA Sequencers. SC Companion 2012: 1549-1550 - [c2]Shuji Suzuki:
Poster: An Ultra-Fast Computing Pipeline for Metagenome Analysis with Next-Generation DNA Sequencers. SC Companion 2012: 1551 - 2011
- [c1]Hiroya Nagao, Shuji Suzuki, Kazuyuki Shudo:
A 3D visualization system for structured overlays. Peer-to-Peer Computing 2011: 168-169
1990 – 1999
- 1998
- [j3]Tatsuya Shiragaki, Naoya Henmi, Tomoaki Kato, Masahiko Fujiwara, Masatoshi Misono, Takahiro Shiozawa, Shuji Suzuki:
Optical cross-connect system incorporated with newly developed operation and management system. IEEE J. Sel. Areas Commun. 16(7): 1179-1189 (1998) - [j2]Eiji Ogura, Masatoshi Takashima, Daisuke Hiranaka, Toshiro Ishikawa, Yukio Yanagita, Shuji Suzuki, Tokuya Fukuda, Toshiyuki Ishii:
A 1.2-W single-chip MPEG2 MP@ML video encoder LSI including wide search range (H±288, V: ±96) motion estimation and 81-MOPS controller. IEEE J. Solid State Circuits 33(11): 1765-1771 (1998) - 1993
- [j1]Makoto Nishio, Shuji Suzuki, Kazuo Takagi, Ichiro Ogura, Takahiro Numai, Kenichi Kasahara, Kazuhisa Kaede:
A new architecture of photonic ATM switches. IEEE Commun. Mag. 31(4): 62-68 (1993)
Coauthor Index
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