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J-GLOBAL ID：201701002723947875   Update date: Jan. 23, 2024

Wu Stephen

ウ ステファン | Wu Stephen
Affiliation and department：
The Institute of Statistical Mathematics

About The Institute of Statistical Mathematics


Homepage URL  (1)： http://daweb.ism.ac.jp/~stewu/
Research field  (3)： Polymer chemistry ,  Structural and seismic engineering ,  Applied mathematics and statistics
Research keywords  (9)： Geotechnical engineering ,  Polymer Informatics ,  Earthquake Early Warning ,  Uncertainty quantification ,  Molecular dynamics ,  Machine learning ,  Bayesian inference ,  Earthquake Engineering ,  Materials Informatics
Research theme for competitive and other funds  (6)：
  • 2021 - 2026 長期から即時までの時空間地震予測とモニタリングの新展開
  • 2021 - 2024 Building foundation of polymer informatics: ensemble of generators and virtual libraries of diverse functional polymers
  • 2023 - 2024 Creating a foundation for data-driven geotechnical engineering through statistical machine learning
  • 2021 - 2024 Building foundation of polymer informatics: ensemble of generators and virtual libraries of diverse functional polymers
  • 2019 - 2023 Automation of a state space modeling by an integration of the variational auto encoder and particle filter
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Papers (54)：
  • Haoyu Zhang, Stephen Wu, Yong Huang, Hui Li. Robust multitask compressive sampling via deep generative models for crack detection in structural health monitoring. Structural Health Monitoring. 2023
  • Yuta Aoki, Stephen Wu, Teruki Tsurimoto, Yoshihiro Hayashi, Shunya Minami, Okubo Tadamichi, Kazuya Shiratori, Ryo Yoshida. Multitask Machine Learning to Predict Polymer-Solvent Miscibility Using Flory-Huggins Interaction Parameters. Macromolecules. 2023
  • Qi Zhang, Chang Liu, Stephen Wu, Yoshihiro Hayashi, Ryo Yoshida. A Bayesian method for concurrently designing molecules and synthetic reaction networks. Science and Technology of Advanced Materials: Methods. 2023. 3. 1
  • Massimiliano Zamengo, Stephen Wu, Ryo Yoshida, Junko Morikawa. Multi-objective optimization for assisting the design of fixed-type packed bed reactors for chemical heat storage. Applied Thermal Engineering. 2023. 218. 119327-119327
  • Sarah E. Minson, Elizabeth S. Cochran, Jessie K. Saunders, Sara K. McBride, Stephen Wu, Annemarie S. Baltay, Kevin R. Milner. What to expect when you are expecting earthquake early warning. Geophysical Journal International. 2022. 231. 2. 1386-1403
ｍore...
MISC (4)：
  • Qi Zhang, Chang Liu, Stephen Wu, Ryo Yoshida. Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks. arXiv preprint. 2022
  • Stephen Wu, Hironao Yamada, Yoshihiro Hayashi, Massimiliano Zamengo, Ryo Yoshida. Potentials and challenges of polymer informatics: exploiting machine learning for polymer design. 2020
  • Stephen Wu, Yukiko Kondo, Isao Kuwajima, Guillaume Lambard, Kenta Hongo, Junko Morikawa, Yibin Xu, Ryo Yoshida. Integrating prior knowledge and machine learning for efficient design of high thermal conductivity polymers. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY. 2018. 255
  • 吉田亮, 吉田亮, 吉田亮, 山田寛尚, Chang Liu, Guo Zhongliang, Wu Stephen. マテリアルズ・インフォマティクス概説. CICSJ Bulletin (Web). 2018. 36. 1. 9(J-STAGE)
Books (1)：
  • マテリアルズインフォマティクス = Materials informatics
    共立出版 2022 ISBN:9784320072022
Lectures and oral presentations  (38)：
  • Learning about the potential directions of data-centric geotechnics from materials science
    (Joint Workshop on Future of Machine Learning in Geotechnics (FOMLIG) & Use of Urban Geoinformation for Geotechnical Practice (UUGGP) 2023)
  • Potential pathway to understanding earthquakes using a data-driven approach: learning from other informatics applications
    (2023)
  • Pathway to a fully data-driven materials informatics framework
    (International Symposium on Data Science and Additive Manufacturing 2023)
  • Polymer Design by Interplay of Machine Learning, Computer Simulation and Expert Knowledge
    (64th ISI World Statistics Congress 2023)
  • Applications of transfer learning: an important machine learning technique
    (Summer Talk Series at Harbin Institute of Technology 2023)
ｍore...
Education (2)：
  • 2008 - 2014 California Institute of Technology
  • 2005 - 2008 University of Michigan
Professional career (4)：
  • PhD (California Institute of Technology)
  • Master (California Institute of Technology)
  • BS Eng. (University of Michigan, Ann Arbor)
  • BS (University of Michigan, Ann Arbor)
Committee career (11)：
  • 2023/04 - 現在 統計数理研究所 広報委員会委員
  • 2023/04 - 現在 大学共同利用機関法人 情報・システム研究機構 ROIS CSIRTメンバー
  • 2022/03 - 現在 日本統計学会 多様性推進特別委員
  • 2017/07 - 現在 統計数理研究所・ものづくりデータ科学研究センター 情報セキュリティ推進担当者
  • 2021/04 - 2023/03 統計数理研究所統計科学技術委員会 統計科学技術委員
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Awards (6)：
  • 2023/04 - The Young Scientists’ Award
  • 2021/12 - 第44回 ケモインフォマティクス討論会 優秀発表賞 ベイズ推論を用いた高潜熱蓄冷材向け分子探索
  • 2019 - ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems (Part B) 2018 Best paper award Bayesian Annealed Sequential Importance Sampling (BASIS): an unbiased version of Transitional Markov Chain Monte Carlo
  • 2015 - Japan Association for Earthquake Engineering Best Paper Award Faster and More Accurate Earthquake Early Warning System - Combination of Velocity and Acceleration-type seismometers
  • 2015 - The Seismological Society of Japan Best Paper Award A new approach to identify multiple concurrent events for improvement of Earthquake Early Warning
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Association Membership(s) (10)：
Japan Geoscience Union ,  Seismological Society of Japan ,  The Society of Polymer Science, Japan ,  Japan Society of Thermophysical Properties ,  American Chemical Society (ACS) ,  The Japan Statistical Society ,  Society for Industrial and Applied Mathematics (SIAM) ,  American Society of Civil Engineers (ASCE) ,  Engineering Mechanics Institute (EMI) ,  Japanese Society for Bioinformatics
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