Machine learning application identifies novel gene signatures from transcriptomic data of spontaneous canine hemangiosarcoma. - Nuojin Cheng; Ashley J. Schulte; Fadil Santosa; Jong Hyuk Kim (Briefings Bioinform., 2021)

Fast Algorithms for Monotone Lower Subsets of Kronecker Least Squares Problems. - Osman Asif Malik; Yiming Xu; Nuojin Cheng; Stephen Becker; Alireza Doostan; Akil Narayan 001 (CoRR, 2022)

Quadrature Sampling of Parametric Models with Bi-fidelity Boosting. - Nuojin Cheng; Osman Asif Malik; Yiming Xu; Stephen Becker; Alireza Doostan; Akil Narayan 001 (CoRR, 2022)

Bi-fidelity Variational Auto-encoder for Uncertainty Quantification. - Nuojin Cheng; Osman Asif Malik; Stephen Becker; Alireza Doostan (CoRR, 2023)

Variational Entropy Search for Adjusting Expected Improvement. - Nuojin Cheng; Stephen Becker (CoRR, 2024)

Subsampling of Parametric Models with Bifidelity Boosting. - Nuojin Cheng; Osman Asif Malik; Yiming Xu; Stephen Becker; Alireza Doostan; Akil Narayan 001 (SIAM/ASA J. Uncertain. Quantification, 2024)

Exploring Exploration in Bayesian Optimization. - Leonard Papenmeier; Nuojin Cheng; Stephen Becker; Luigi Nardi (UAI, 2025)

A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization. - Nuojin Cheng; Leonard Papenmeier; Stephen Becker; Luigi Nardi (CoRR, 2025)

Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search. - Nuojin Cheng; Alireza Doostan; Stephen Becker (CoRR, 2025)