Area of research
Management Science and Operations Research · Artificial Intelligence
Research interest
Research interests include Advanced Bandit Algorithms Research, Machine Learning and Algorithms, Advanced Multi-Objective Optimization Algorithms, and Simulation Techniques and Applications.
Booster vaccination protection against SARS-CoV-2 infections in young adults during an Omicron BA.1-predominant period: A retrospective cohort study.
Multi‐information source Bayesian optimization of culture media for cellular agriculture
Modeling for COVID-19 college reopening decisions: Cornell, a case study.
Multi-information source Bayesian optimization of culture media for cellular agriculture.
Booster vaccination protection against SARS-CoV-2 infections in young adults during an Omicron BA.1-predominant period: a retrospective cohort study
Modeling for COVID-19 college reopening decisions: Cornell, a case study
Tuning Materials-Binding Peptide Sequences toward Gold- and Silver-Binding Selectivity with Bayesian Optimization
Tuning Materials-Binding Peptide Sequences toward Gold- and Silver-Binding Selectivity with Bayesian Optimization.
Parallel Bayesian Global Optimization of Expensive Functions
Practical multi-fidelity Bayesian optimization for hyperparameter tuning
Uncertainty in Artificial Intelligence 2019cited by 30position: middle
Efficient search of compositional space for hybrid organic–inorganic perovskites via Bayesian optimization
Discovering de novo peptide substrates for enzymes using machine learning
Advances in Bayesian Optimization with Applications in Aerospace Engineering
Bayesian Optimization with Gradients
Neural Information Processing Systems 2017cited by 41position: last
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
arXiv (Cornell University) 2016cited by 86position: last
Warm starting Bayesian optimization
Bayesian Optimization for Materials Design
A Hierarchical Distance-dependent Bayesian Model for Event Coreference Resolution
ALE: a generic assembly likelihood evaluation framework for assessing the accuracy of genome and metagenome assemblies
Twenty Questions with Noise: Bayes Optimal Policies for Entropy Loss