Stephen Wu

Orcid: 0000-0002-7847-8106

Affiliations:
  • The Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan
  • California Institute of Technology (Caltech), Department of Mechanical and Civil Engineering, Pasadena, CA, USA (PhD 2014)


According to our database1, Stephen Wu authored at least 17 papers between 2013 and 2026.

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Bibliography

2026
Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States.
CoRR, April, 2026

TabPFN Extensions for Interpretable Geotechnical Modelling.
CoRR, March, 2026

2025
Omics-scale polymer computational database transferable to real-world artificial intelligence applications.
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CoRR, November, 2025

Tabular foundation model for GEOAI benchmark problems BM/AirportSoilProperties/2/2025.
CoRR, September, 2025

2024
Scaling Law of Sim2Real Transfer Learning in Expanding Computational Materials Databases for Real-World Predictions.
CoRR, 2024

2023
Future-proofing geotechnics workflows: accelerating problem-solving with large language models.
CoRR, 2023

Pathway to a fully data-driven geotechnics: lessons from materials informatics.
CoRR, 2023

2022
Functional Output Regression for Machine Learning in Materials Science.
J. Chem. Inf. Model., 2022

Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks.
CoRR, 2022

2021
A General Class of Transfer Learning Regression without Implementation Cost.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Multi-Domain Networks Association for Biological Data Using Block Signed Graph Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Bayesian Algorithm for Retrosynthesis.
J. Chem. Inf. Model., 2020

2019
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference.
IEEE Trans. Medical Imaging, 2019

2018
Langevin Diffusion for Population Based Sampling with an Application in Bayesian Inference for Pharmacodynamics.
SIAM J. Sci. Comput., 2018

Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration.
CoRR, 2018

2014
Robust Bayesian Compressive Sensing for Signals in Structural Health Monitoring.
Comput. Aided Civ. Infrastructure Eng., 2014

2013
ePAD: Earthquake Probability-Based Automated Decision-Making Framework for Earthquake Early Warning.
Comput. Aided Civ. Infrastructure Eng., 2013


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