Yongchao Huang

According to our database, Yongchao Huang authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LLM-BI: Towards Fully Automated Bayesian Inference with Large Language Models.

Yongchao Huang

CoRR, August, 2025

LLM-Prior: A Framework for Knowledge-Driven Prior Elicitation and Aggregation.

Yongchao Huang

CoRR, August, 2025

RL as Regressor: A Reinforcement Learning Approach for Function Approximation.

Yongchao Huang

CoRR, August, 2025

Probabilistic and reinforced mining of association rules.

Yongchao Huang

CoRR, June, 2025

Bayesian Inference of Training Dataset Membership.

Yongchao Huang

CoRR, June, 2025

R-ParVI: Particle-based variational inference through lens of rewards.

Yongchao Huang

CoRR, February, 2025

2024

ADAS Simulation Result Dataset Processing Based on Improved BP Neural Network.

Songyan Zhao, Lingshan Chen, Yongchao Huang

Data, 2024

Variational Inference Using Material Point Method.

Yongchao Huang

CoRR, 2024

Variational Inference via Smoothed Particle Hydrodynamics.

Yongchao Huang

CoRR, 2024

Electrostatics-based particle sampling and approximate inference.

Yongchao Huang

CoRR, 2024

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., May, 2023

Bayesian inference and neural estimation of acoustic wave propagation.

Yongchao Huang, Yuhang He, Hong Ge

CoRR, 2023

2022

Classification via score-based generative modelling.

Yongchao Huang

CoRR, 2022

2021

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

2020

A Sequential Modelling Approach for Indoor Temperature Prediction and Heating Control in Smart Buildings.

Yongchao Huang, Hugh Miles, Pengfei Zhang

CoRR, 2020

2019

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, Jacob J. Michaelson

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019