A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
publications
Fuzzy Evidential Influence Diagram and Its Evaluation Algorithm
Haoyang Zheng, Yong Deng, in Knowledge-Based Systems, 2017. [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]
Evaluation Method Based on Fuzzy Relations Between Dempster–Shafer Belief Structure
Haoyang Zheng, Yong Deng, in International Journal of Intelligent Systems, 2018. [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]
A Physics-Constrained Neural Network for Multiphase Flows
Haoyang Zheng, Ziyang Huang, Guang Lin, in Physics of Fluids, 2022. [link]
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]
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]
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo
Haoyang Zheng, Wei Deng, Christian Moya, Guang Lin, in AISTATS, 2024. [link] [arxiv] [code] [poster]
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]
Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations
Haoyang Zheng, Guang Lin, in arXiv:2502.00550, 2025. [arxiv]
Rethinking Langevin Thompson Sampling from A Stochastic Approximation Perspective
Weixin Wang, Haoyang Zheng, Guang Lin, Wei Deng, Pan Xu, in NeurIPS 2025 Workshop on Dynamics at the Frontiers of Optimization, Sampling, and Games (DynaFront), 2025. [link]
Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange
Haoyang Zheng, Hengrong Du, Ruqi Zhang, Guang Lin, in AAAI 2026, 2026. [link] [arxiv]
Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct
Haoyang Zheng, Xinyang Liu, Cindy Xiangrui Kong, Nan Jiang, Zheyuan Hu, Weijian Luo, Wei Deng, Guang Lin, in ICLR 2026, 2026. [arxiv] [project]
ProTDyn: A Foundation Protein Language Model for Thermodynamics and Dynamics Generation
Yikai Liu, Haoyang Zheng, Lining Mao, Yanbin Wang, Ming Chen, Guang Lin, in ICLR 2026, 2026. [link]
LES-SINDy: Laplace-Enhanced Sparse Identification of Nonlinear Dynamical Systems
Haoyang Zheng, Guang Lin, in Journal of Computational Physics, 2026. [arxiv]
Ultra Fast PDE Solving via Physics Guided Few-step Diffusion
Cindy Xiangrui Kong, Yueqi Wang, Haoyang Zheng, Weijian Luo, Guang Lin, in arXiv:2602.03627, 2026. [arxiv]
BLADE: Bayesian Langevin Active Discovery with Replica Exchange for Identification of Complex Systems
Cindy Xiangrui Kong, Haoyang Zheng, Guang Lin, in Machine Learning: Science and Technology, 2026. [link] [arxiv]
teaching
Teaching experience 1
Undergraduate course, in University 1, Department, 2014.
Teaching experience 2
Workshop, in University 1, Department, 2015.