Local Randomized Neural Networks with Hybridized Discontinuous Petrov-Galerkin Methods for Stokes-Darcy Flows. - Haoning Dang; Fei Wang (CoRR, 2023)

Adaptive Growing Randomized Neural Networks for Solving Partial Differential Equations. - Haoning Dang; Fei Wang (CoRR, 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; et al. (CoRR, 2024)

A conforming discontinuous Galerkin finite element method for Brinkman equations. - Haoning Dang; Qilong Zhai; Zhongshu Zhao (J. Comput. Appl. Math., 2024)

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, 2025)