Toyo (Toyotaro) Suzumura
Toyo (Toyotaro) Suzumura
Professor, The University of Tokyo (prev. IBM T.J. Watson Research Center/MIT-IBM Watson AI Lab)
Verified email at - Homepage
Cited by
Cited by
EvolveGCN: Evolving graph convolutional networks for dynamic graphs
A Pareja, G Domeniconi, J Chen, T Ma, T Suzumura, H Kanezashi, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5363-5370, 2020
Ninf-G: A reference implementation of RPC-based programming middleware for Grid computing
Y Tanaka, H Nakada, S Sekiguchi, T Suzumura, S Matsuoka
Journal of Grid computing 1, 41-51, 2003
Medical text classification using convolutional neural networks
M Hughes, I Li, S Kotoulas, T Suzumura
Informatics for Health: Connected Citizen-Led Wellness and Population Health …, 2017
Fluid communities: A competitive, scalable and diverse community detection algorithm
F Parés, DG Gasulla, A Vilalta, J Moreno, E Ayguadé, J Labarta, U Cortés, ...
Complex Networks & Their Applications VI: Proceedings of Complex Networks …, 2018
Principled multilayer network embedding
W Liu, PY Chen, S Yeung, T Suzumura, L Chen
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 134-141, 2017
Highly Scalable Graph Search for the Graph500 benchmark
K Ueno, T Suzumura
Proceedings of the 21st international symposium on High-Performance Parallel …, 2012
Scalable graph learning for anti-money laundering: A first look
M Weber, J Chen, T Suzumura, A Pareja, T Ma, H Kanezashi, T Kaler, ...
NIPS 2018 Workshop on Challenges and Opportunities for AI in Financial …, 2018
On the behavior of convolutional nets for feature extraction
D Garcia-Gasulla, F Parés, A Vilalta, J Moreno, E Ayguadé, J Labarta, ...
Journal of Artificial Intelligence Research 61, 563-592, 2018
Exploring graph neural networks for stock market predictions with rolling window analysis
D Matsunaga, T Suzumura, T Takahashi
NeurIPS 2019 Workshop - Robust AI in Financial Services: Data, Fairness …, 2019
Optimizing web services performance by differential deserialization
T Suzumura, T Takase, M Tatsubori
IEEE International Conference on Web Services (ICWS'05), 185-192, 2005
Performance characteristics of Graph500 on large-scale distributed environment
T Suzumura, K Ueno, H Sato, K Fujisawa, S Matsuoka
2011 IEEE International Symposium on Workload Characterization (IISWC), 149-158, 2011
Elastic stream computing with clouds
A Ishii, T Suzumura
2011 IEEE 4th international conference on cloud computing, 195-202, 2011
Performance comparison of web service engines in php, java and c
T Suzumura, S Trent, M Tatsubori, A Tozawa, T Onodera
2008 IEEE International Conference on Web Services, 385-392, 2008
Towards federated graph learning for collaborative financial crimes detection
T Suzumura, Y Zhou, N Baracaldo, G Ye, K Houck, R Kawahara, A Anwar, ...
NeurIPS 2019 Workshop - Robust AI in Financial Services: Data, Fairness …, 2019
What are we depressed about when we talk about covid-19: Mental health analysis on tweets using natural language processing
I Li, Y Li, T Li, S Alvarez-Napagao, D Garcia-Gasulla, T Suzumura
Artificial Intelligence XXXVII: 40th SGAI International Conference on …, 2020
An adaptive, fast, and safe XML parser based on byte sequences memorization
T Takase, H Miyashita, T Suzumura, M Tatsubori
Proceedings of the 14th international conference on World Wide Web, 692-701, 2005
Spatio-temporal meta-graph learning for traffic forecasting
R Jiang, Z Wang, J Yong, P Jeph, Q Chen, Y Kobayashi, X Song, ...
Proceedings of the AAAI conference on artificial intelligence 37 (7), 8078-8086, 2023
Performance comparison of PHP and JSP as server-side scripting languages
S Trent, M Tatsubori, T Suzumura, A Tozawa, T Onodera
Middleware 2008: ACM/IFIP/USENIX 9th International Middleware Conference …, 2008
Distributed edge partitioning for trillion-edge graphs
M Hanai, T Suzumura, WJ Tan, E Liu, G Theodoropoulos, W Cai
Proceedings of the VLDB Endowment 12(13):2379-2392, arXiv preprint arXiv …, 2019
Parallel distributed breadth first search on GPU
K Ueno, T Suzumura
20th Annual International Conference on High Performance Computing, 314-323, 2013
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