Binghang Lu

According to our database, Binghang Lu authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

Muon with Spectral Guidance: Efficient Optimization for Scientific Machine Learning.

Binghang Lu, Jiahao Zhang, Guang Lin

CoRR, February, 2026

Neural-POD: A Plug-and-Play Neural Operator Framework for Infinite-Dimensional Functional Nonlinear Proper Orthogonal Decomposition.

Changhong Mou, Binghang Lu, Guang Lin

CoRR, February, 2026

iPINNER: An iterative physics-informed neural network with ensemble Kalman filter.

Binghang Lu, Changhong Mou, Guang Lin

J. Comput. Phys., 2026

2025

An Evolutionary Multi-objective Optimization for Replica-Exchange-based Physics-informed Operator Learning Network.

Binghang Lu, Changhong Mou, Guang Lin

CoRR, September, 2025

MoPINNEnKF: Iterative Model Inference using generic-PINN-based ensemble Kalman filter.

Binghang Lu, Changhong Mou, Guang Lin

CoRR, June, 2025

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

J. Comput. Phys., 2025

2023

NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training.

Binghang Lu, Christian Moya, Guang Lin

Algorithms, April, 2023