Haoning Dang

According to our database, Haoning Dang authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Randomized Neural Networks for Integro-Differential Equations with Application to Neutron Transport.

Haoning Dang, Fei Wang, Yifan Chen, Zhouyu Liu, Dong Liu, Hongchun Wu

CoRR, April, 2026

Adaptive-Growth Randomized Neural Networks for Level-Set Computation of Multivalued Nonlinear First-Order PDEs with Hyperbolic Characteristics.

Haoning Dang, Shi Jin, Fei Wang

CoRR, March, 2026

DeepONet augmented by randomized neural networks for efficient operator learning in PDEs.

Zhaoxi Jiang, Haoning Dang, Fei Wang

Commun. Nonlinear Sci. Numer. Simul., 2026

2025

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting.

Huibo Xu, Likang Wu, Xianquan Wang, Haoning Dang, Chun-Wun Cheng, Angelica I. Avilés-Rivero, Qi Liu

CoRR, July, 2025

2024

A conforming discontinuous Galerkin finite element method for Brinkman equations.

Haoning Dang, Qilong Zhai, Zhongshu Zhao

J. Comput. Appl. Math., April, 2024

Is AI Robust Enough for Scientific Research?

Jun-Jie Zhang, Jiahao Song, Xiu-Cheng Wang, Fu-Peng Li, Zehan Liu, Jian-Nan Chen, Haoning Dang, Shiyao Wang, Yiyan Zhang, Jianhui Xu, Chunxiang Shi, Fei Wang, Long-Gang Pang, Nan Cheng, Weiwei Zhang, Duo Zhang, Deyu Meng

CoRR, 2024

Adaptive Growing Randomized Neural Networks for Solving Partial Differential Equations.

Haoning Dang, Fei Wang

CoRR, 2024

2023

Local Randomized Neural Networks with Hybridized Discontinuous Petrov-Galerkin Methods for Stokes-Darcy Flows.

Haoning Dang, Fei Wang

CoRR, 2023