Failure mode and effects analysis based on D numbers and TOPSIS T Bian, H Zheng, L Yin, Y Deng Quality and Reliability Engineering International 34 (4), 501-515, 2018 | 207 | 2018 |
Evaluation method based on fuzzy relations between Dempster–Shafer belief structure H Zheng, Y Deng International Journal of Intelligent Systems 33 (7), 1343-1363, 2018 | 101 | 2018 |
Fuzzy evidential influence diagram and its evaluation algorithm H Zheng, Y Deng, Y Hu Knowledge-Based Systems 131, 28-45, 2017 | 59 | 2017 |
An evidential link prediction method and link predictability based on Shannon entropy L Yin, H Zheng, T Bian, Y Deng Physica A: Statistical Mechanics and its Applications 482, 699-712, 2017 | 34 | 2017 |
Data-driven causal model discovery and personalized prediction in Alzheimer's disease H Zheng, JR Petrella, PM Doraiswamy, G Lin, W Hao, ... NPJ digital medicine 5 (1), 137, 2022 | 14 | 2022 |
HomPINNs: homotopy physics-informed neural networks for solving the inverse problems of nonlinear differential equations with multiple solutions H Zheng, Y Huang, Z Huang, W Hao, G Lin Journal of Computational Physics 500, 2024 | 10 | 2024 |
A physics-constrained neural network for multiphase flows H Zheng, Z Huang, G Lin Physics of Fluids, 2022 | 9 | 2022 |
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo H Zheng, W Deng, C Moya, G Lin International Conference on Artificial Intelligence and Statistics 238, 2611 …, 2024 | 5 | 2024 |
Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations H Zheng, G Lin arXiv preprint arXiv:2502.00550, 2025 | | 2025 |
Exploring Non-Convex Discrete Energy Landscapes: A Langevin-Like Sampler with Replica Exchange H Zheng, R Zhang, G Lin arXiv preprint arXiv:2501.17323, 2025 | | 2025 |
LES-SINDy: Laplace-Enhanced Sparse Identification of Nonlinear Dynamical Systems H Zheng, G Lin arXiv preprint arXiv:2411.01719, 2024 | | 2024 |
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics H Zheng, H Du, Q Feng, W Deng, G Lin International Conference on Machine Learning 235, 61321-61348, 2024 | | 2024 |