NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training. - Binghang Lu; Christian Moya; Guang Lin 001 (Algorithms, 2023)

FPINN-deeponet: A physics-informed operator learning framework for multi-term time-fractional mixed diffusion-wave equations. - Binghang Lu; Zhaopeng Hao; Christian Moya; Guang Lin 001 (J. Comput. Phys., 2025)

MoPINNEnKF: Iterative Model Inference using generic-PINN-based ensemble Kalman filter. - Binghang Lu; Changhong Mou; Guang Lin (CoRR, 2025)