2021 - 2024 Building foundation of polymer informatics: ensemble of generators and virtual libraries of diverse functional polymers
2023 - 2024 統計的機械学習によるデータ駆動型地盤工学の基盤創出
2021 - 2024 Building foundation of polymer informatics: ensemble of generators and virtual libraries of diverse functional polymers
2019 - 2023 変分オートエンコーダと粒子フィルタの融合による状態空間モデリングの自動化
2018 - 2021 Inverse materials design by integrating transfer learning techniques into a Bayesian framework
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論文 (54件):
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
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
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)
日本地球惑星科学連合
, 日本地震学会
, 高分子学会
, 日本熱物性学会
, American Chemical Society (ACS)
, 日本統計学会
, Society for Industrial and Applied Mathematics (SIAM)
, American Society of Civil Engineers (ASCE)
, Engineering Mechanics Institute (EMI)
, 日本バイオインフォマティクス学会