Wanggang Shen

A Bayesian Approach for Quantifying Data Scarcity when Modeling Human Behavior via Inverse Reinforcement Learning

Anindya Das Antar, X. Huan, Nikola Banovic, 2022, ACM Transactions on Computer-Human Interaction.

Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning

X. Huan, Wanggang Shen, 2021, Computer Methods in Applied Mechanics and Engineering.

A Bayesian Approach for Quantifying Data Scarcity when Modeling Human Behavior via Inverse Reinforcement Learning

Anindya Das Antar, X. Huan, Nikola Banovic, 2022, ACM Trans. Comput. Hum. Interact..

Towards Design of Airfoil Pressure Tap Locations for Real-Time Predictions Under Uncertainty Using Bayesian Neural Networks

Xun Huan, Beckett Yx Zhou, Nicolas R. Gauger, 2020, AIAA Scitech 2020 Forum.

Understanding capacity fade in organic redox-flow batteries by combining spectroscopy with statistical inference techniques

B. Goldsmith, Siddhant Singh, S. Modak, 2023, Nature communications.

Variational Sequential Optimal Experimental Design using Reinforcement Learning

X. Huan, Wanggang Shen, Jiayuan Dong, 2023, ArXiv.