Fuzzy evidential influence diagram and its evaluation algorithm. - Haoyang Zheng; Yong Deng 001; Yong Hu 002 (Knowl. Based Syst., 2017)

Evaluation method based on fuzzy relations between Dempster-Shafer belief structure. - Haoyang Zheng; Yong Deng 001 (Int. J. Intell. Syst., 2018)

Failure mode and effects analysis based on D numbers and TOPSIS. - Tian Bian; Haoyang Zheng; Likang Yin; Yong Deng 001 (Qual. Reliab. Eng. Int., 2018)

PCNN: A physics-constrained neural network for multiphase flows. - Haoyang Zheng; Ziyang Huang; Guang Lin 001 (CoRR, 2021)

Data-driven causal model discovery and personalized prediction in Alzheimer's disease. - Haoyang Zheng; Jeffrey R. Petrella; P. Murali Doraiswamy; Guang Lin 001; Wenrui Hao (npj Digit. Medicine, 2022)

Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo. - Haoyang Zheng; Wei Deng 002; Christian Moya; Guang Lin 001 (AISTATS, 2024)

Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics. - Haoyang Zheng; Hengrong Du; Qi Feng 005; Wei Deng 002; Guang Lin 001 (ICML, 2024)

LES-SINDy: Laplace-Enhanced Sparse Identification of Nonlinear Dynamical Systems. - Haoyang Zheng; Guang Lin 001 (CoRR, 2024)

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 001 (J. Comput. Phys., 2024)

Exploring Non-Convex Discrete Energy Landscapes: A Langevin-Like Sampler with Replica Exchange. - Haoyang Zheng; Ruqi Zhang; Guang Lin 001 (CoRR, 2025)

Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations. - Haoyang Zheng; Guang Lin 001 (CoRR, 2025)

LAPD: Langevin-Assisted Bayesian Active Learning for Physical Discovery. - Cindy Xiangrui Kong; Haoyang Zheng; Guang Lin 001 (CoRR, 2025)

Self-Supervised Continuous Colormap Recovery from a 2D Scalar Field Visualization without a Legend. - Hongxu Liu; Xinyu Chen; Haoyang Zheng; Manyi Li; Zhenfan Liu; Fumeng Yang; Yunhai Wang; Changhe Tu; Qiong Zeng (CoRR, 2025)