Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics
Haoyang Zheng, Hengrong Du, Qi Feng, Wei Deng, Guang Lin, in ICML, 2024. [link] [arxiv] [code] [poster]
Publications
You can also find my papers on my Google Scholar profile.
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo
Haoyang Zheng, Wei Deng, Christian Moya, Guang Lin, in AISTATS, 2024. [link] [arxiv] [code] [poster]
HomPINNs: Homotopy Physics-Informed Neural Networks for Solving the Inverse Problems of Nonlinear Differential Equations with Multiple Solutions
Haoyang Zheng, Yao Huang, Ziyang Huang, Wenrui Hao, Guang Lin, in Journal of Computational Physics, 2024. [link] [arxiv] [code]
Data-Driven Causal Model Discovery and Personalized Prediction in Alzheimer’s Disease
Haoyang Zheng, Jeffrey R Petrella, P Murali Doraiswamy, Guang Lin, Wenrui Hao, Alzheimer’s Disease Neuroimaging Initiative, in npj Digital Medicine, 2022. [link] [supplementary]
A Physics-Constrained Neural Network for Multiphase Flows
Haoyang Zheng, Ziyang Huang, Guang Lin, in Physics of Fluids, 2022. [link]
Failure Mode and Effects Analysis Based on D Numbers and TOPSIS
Tian Bian, Haoyang Zheng, Likang Yin, Yong Deng, in Quality and Reliability Engineering International, 2018. [link]
Evaluation Method Based on Fuzzy Relations Between Dempster–Shafer Belief Structure
Haoyang Zheng, Yong Deng, in International Journal of Intelligent Systems, 2018. [link]
An Evidential Link Prediction Method and Link Predictability Based on Shannon Entropy
Likang Yin, Haoyang Zheng, Tian Bian, Yong Deng, in Physica A: Statistical Mechanics and its Applications, 2017. [link]
Fuzzy Evidential Influence Diagram and Its Evaluation Algorithm
Haoyang Zheng, Yong Deng, in Knowledge-Based Systems, 2017. [link]