Ensemble Modeling of Neurocognitive Performance Using MRI-Derived Brain Structure Volumes. - Leo Brueggeman; Tanner Koomar; Yongchao Huang; Brady Hoskins; Tien Tong; James Kent; Ethan Bahl; Charles E. Johnson; Alexander Powers; Douglas R. Langbehn; Jatin G. Vaidya; Hans J. Johnson; et al. (ABCD-NP@MICCAI, 2019)

A Sequential Modelling Approach for Indoor Temperature Prediction and Heating Control in Smart Buildings. - Yongchao Huang; Hugh Miles; Pengfei Zhang (CoRR, 2020)

Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS. - Christian Schröder de Witt; Yongchao Huang; Philip H. S. Torr; Martin Strohmeier (CoRR, 2021)

Classification via score-based generative modelling. - Yongchao Huang (CoRR, 2022)

Bayesian inference and neural estimation of acoustic wave propagation. - Yongchao Huang; Yuhang He; Hong Ge (CoRR, 2023)

Evolution of cooperation in public goods games with dynamic resource allocation: A fairness preference perspective. - Yongchao Huang; Tianyu Ren; Junjun Zheng; Wenyi Liu; Mengshu Zhang (Appl. Math. Comput., 2023)

Electrostatics-based particle sampling and approximate inference. - Yongchao Huang (CoRR, 2024)

Variational Inference via Smoothed Particle Hydrodynamics. - Yongchao Huang (CoRR, 2024)

Variational Inference Using Material Point Method. - Yongchao Huang (CoRR, 2024)

ADAS Simulation Result Dataset Processing Based on Improved BP Neural Network. - Songyan Zhao; Lingshan Chen; Yongchao Huang (Data, 2024)

R-ParVI: Particle-based variational inference through lens of rewards. - Yongchao Huang (CoRR, 2025)

Bayesian Inference of Training Dataset Membership. - Yongchao Huang (CoRR, 2025)

Probabilistic and reinforced mining of association rules. - Yongchao Huang (CoRR, 2025)

RL as Regressor: A Reinforcement Learning Approach for Function Approximation. - Yongchao Huang (CoRR, 2025)

LLM-Prior: A Framework for Knowledge-Driven Prior Elicitation and Aggregation. - Yongchao Huang (CoRR, 2025)

LLM-BI: Towards Fully Automated Bayesian Inference with Large Language Models. - Yongchao Huang (CoRR, 2025)