ePAD: Earthquake Probability-Based Automated Decision-Making Framework for Earthquake Early Warning. - Stephen Wu 001; James L. Beck; Thomas H. Heaton (Comput. Aided Civ. Infrastructure Eng., 2013)

Robust Bayesian Compressive Sensing for Signals in Structural Health Monitoring. - Yong Huang; James L. Beck; Stephen Wu 001; Hui Li 035 (Comput. Aided Civ. Infrastructure Eng., 2014)

Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration. - Jana Lipková; Panagiotis Angelikopoulos; Stephen Wu 001; Esther Alberts; Benedikt Wiestler; Christian Diehl; Christine Preibisch; Thomas Pyka; Stephanie Combs; Panagiotis E. Hadjidoukas; Koen Van Leemput; Petros Koumoutsakos; et al. (CoRR, 2018)

Langevin Diffusion for Population Based Sampling with an Application in Bayesian Inference for Pharmacodynamics. - Georgios Arampatzis; Daniel Wälchli; Panagiotis Angelikopoulos; Stephen Wu 001; Panagiotis E. Hadjidoukas; Petros Koumoutsakos (SIAM J. Sci. Comput., 2018)

Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference. - Jana Lipková; Panagiotis Angelikopoulos; Stephen Wu 001; Esther Alberts; Benedikt Wiestler; Christian Diehl; Christine Preibisch; Thomas Pyka; Stephanie Combs; Panagiotis E. Hadjidoukas; Koen Van Leemput; Petros Koumoutsakos; et al. (IEEE Trans. Medical Imaging, 2019)

Bayesian Algorithm for Retrosynthesis. - Zhongliang Guo 002; Stephen Wu 001; Mitsuru Ohno; Ryo Yoshida (J. Chem. Inf. Model., 2020)

Multi-Domain Networks Association for Biological Data Using Block Signed Graph Clustering. - Ye Liu 014; Michael K. Ng 001; Stephen Wu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

A General Class of Transfer Learning Regression without Implementation Cost. - Shunya Minami; Song Liu 002; Stephen Wu 001; Kenji Fukumizu; Ryo Yoshida (AAAI, 2021)

Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks. - Qi Zhang; Chang Liu; Stephen Wu 001; Ryo Yoshida (CoRR, 2022)

Functional Output Regression for Machine Learning in Materials Science. - Megumi Iwayama; Stephen Wu 001; Chang Liu; Ryo Yoshida (J. Chem. Inf. Model., 2022)

Pathway to a fully data-driven geotechnics: lessons from materials informatics. - Stephen Wu 001; Yu Otake; Yosuke Higo; Ikumasa Yoshida (CoRR, 2023)

Future-proofing geotechnics workflows: accelerating problem-solving with large language models. - Stephen Wu 001; Yu Otake; Daijiro Mizutani; Chang Liu; Kotaro Asano; Nana Sato; Hidetoshi Baba; Yusuke Fukunaga; Yosuke Higo; Akiyoshi Kamura; Shinnosuke Kodama; Masataka Metoki; et al. (CoRR, 2023)

Scaling Law of Sim2Real Transfer Learning in Expanding Computational Materials Databases for Real-World Predictions. - Shunya Minami; Yoshihiro Hayashi; Stephen Wu 001; Kenji Fukumizu; Hiroki Sugisawa; Masashi Ishii; Isao Kuwajima; Kazuya Shiratori; Ryo Yoshida (CoRR, 2024)

Tabular foundation model for GEOAI benchmark problems BM/AirportSoilProperties/2/2025. - Taiga Saito; Yu Otake; Stephen Wu 001 (CoRR, 2025)