Shuji Suzuki

28 papers A* 2B 1Journal 18Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Judge-free LLM Open-ended Generation Benchmark Based on the Distributional Hypothesis.
CoRR
Kentaro Imajo, Masanori Hirano, Shuji Suzuki, Hiroaki Mikami
2025 J jnl
PLaMo 2 Technical Report.
CoRR
Kaizaburo Chubachi, Yasuhiro Fujita, Shinichi Hemmi, Yuta Hirokawa, Kentaro Imajo, Toshiki Kataoka, Goro Kobayashi, Kenichi Maehashi, Calvin Metzger, Hiroaki Mikami, Shogo Murai, Daisuke Nishino, Kento Nozawa, Toru Ogawa, Shintarou Okada, Daisuke Okanohara, Shunta Saito, Shotaro Sano, Shuji Suzuki, Kuniyuki Takahashi, Daisuke Tanaka, Avinash Ummadisingu, Hanqin Wang, Sixue Wang, Tianqi Xu
2024 J jnl
PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency.
CoRR
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
2022 — conf
A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective?
ECML/PKDD (3)
Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi
2021 J jnl
A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training.
CoRR
Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi
2020 J jnl
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation.
CoRR
Yuta Tokuoka, Shuji Suzuki, Yohei Sugawara
2020 — conf
Online-Codistillation Meets LARS, Going beyond the Limit of Data Parallelism in Deep Learning.
DLS@SC
Shogo Murai, Hiroaki Mikami, Masanori Koyama, Shuji Suzuki, Takuya Akiba
2019 — conf
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation.
ICBBE
Yuta Tokuoka, Shuji Suzuki, Yohei Sugawara
2019 A* conf
Chainer: A Deep Learning Framework for Accelerating the Research Cycle.
KDD
Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent
2019 J jnl
Chainer: A Deep Learning Framework for Accelerating the Research Cycle.
CoRR
Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent
2019 A* conf
Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects.
CVPR
Yusuke Niitani, Takuya Akiba, Tommi Kerola, Toru Ogawa, Shotaro Sano, Shuji Suzuki
2019 J jnl
Team PFDet's Methods for Open Images Challenge 2019.
CoRR
Yusuke Niitani, Toru Ogawa, Shuji Suzuki, Takuya Akiba, Tommi Kerola, Kohei Ozaki, Shotaro Sano
2018 J jnl
PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection Track.
CoRR
Takuya Akiba, Tommi Kerola, Yusuke Niitani, Toru Ogawa, Shotaro Sano, Shuji Suzuki
2018 J jnl
Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects.
CoRR
Yusuke Niitani, Takuya Akiba, Tommi Kerola, Toru Ogawa, Shotaro Sano, Shuji Suzuki
2017 J jnl
ChainerMN: Scalable Distributed Deep Learning Framework.
CoRR
Takuya Akiba, Keisuke Fukuda, Shuji Suzuki
2017 J jnl
Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes.
CoRR
Takuya Akiba, Shuji Suzuki, Keisuke Fukuda
2017 B conf
Single-View Performance Monitoring of On-Line Applications Running on a Cloud.
CLOUD
Yasuhiko Kanemasa, Shuji Suzuki, Atsushi Kubota, Junichi Higuchi
2015 J jnl
Faster sequence homology searches by clustering subsequences.
Bioinform.
Shuji Suzuki, Masanori Kakuta, Takashi Ishida, Yutaka Akiyama
2015 J jnl
Protein-protein docking on hardware accelerators: comparison of GPU and MIC architectures.
BMC Syst. Biol.
Takehiro Shimoda, Shuji Suzuki, Masahito Ohue, Takashi Ishida, Yutaka Akiyama
2014 J jnl
Extreme Big Data (EBD): Next Generation Big Data Infrastructure Technologies Towards Yottabyte/Year.
Supercomput. Front. Innov.
Satoshi Matsuoka, Hitoshi Sato, Osamu Tatebe, Michihiro Koibuchi, Ikki Fujiwara, Shuji Suzuki, Masanori Kakuta, Takashi Ishida, Yutaka Akiyama, Toyotaro Suzumura, Koji Ueno, Hiroki Kanezashi, Takemasa Miyoshi
2014 J jnl
MEGADOCK 4.0: an ultra-high-performance protein-protein docking software for heterogeneous supercomputers.
Bioinform.
Masahito Ohue, Takehiro Shimoda, Shuji Suzuki, Yuri Matsuzaki, Takashi Ishida, Yutaka Akiyama
2013 — conf
MEGADOCK-GPU: Acceleration of Protein-Protein Docking Calculation on GPUs.
BCB
Takehiro Shimoda, Takashi Ishida, Shuji Suzuki, Masahito Ohue, Yutaka Akiyama
2012 — conf
An Ultra-Fast Computing Pipeline for Metagenome Analysis with Next-Generation DNA Sequencers.
SC Companion
Shuji Suzuki, Takashi Ishida, Yutaka Akiyama
2012 — conf
Poster: An Ultra-Fast Computing Pipeline for Metagenome Analysis with Next-Generation DNA Sequencers.
SC Companion
Shuji Suzuki
2011 — conf
A 3D visualization system for structured overlays.
Peer-to-Peer Computing
Hiroya Nagao, Shuji Suzuki, Kazuyuki Shudo
1998 J jnl
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
Eiji Ogura, Masatoshi Takashima, Daisuke Hiranaka, Toshiro Ishikawa, Yukio Yanagita, Shuji Suzuki, Tokuya Fukuda, Toshiyuki Ishii
1998 J jnl
Optical cross-connect system incorporated with newly developed operation and management system.
IEEE J. Sel. Areas Commun.
Tatsuya Shiragaki, Naoya Henmi, Tomoaki Kato, Masahiko Fujiwara, Masatoshi Misono, Takahiro Shiozawa, Shuji Suzuki
1993 J jnl
A new architecture of photonic ATM switches.
IEEE Commun. Mag.
Makoto Nishio, Shuji Suzuki, Kazuo Takagi, Ichiro Ogura, Takahiro Numai, Kenichi Kasahara, Kazuhisa Kaede