Quanjun Lang

According to our database, Quanjun Lang authored at least 13 papers between 2020 and 2026.

Collaborative distances:

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

2026

Learning Multi-type heterogeneous interacting particle systems.

Quanjun Lang, Xiong Wang, Fei Lu, Mauro Maggioni

CoRR, February, 2026

Learning Memory Kernels in Generalized Langevin Equations.

Quanjun Lang, Jianfeng Lu

SIAM J. Math. Data Sci., 2026

2025

Error Analysis of Generalized Langevin Equations with Approximated Memory Kernels.

Quanjun Lang, Jianfeng Lu

CoRR, December, 2025

2024

A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators.

Neil K. Chada, Quanjun Lang, Fei Lu, Xiong Wang

J. Mach. Learn. Res., 2024

Self-test loss functions for learning weak-form operators and gradient flows.

Yuan Gao, Quanjun Lang, Fei Lu

CoRR, 2024

Learning Memory Kernels in Generalized Langevin Equations.

Quanjun Lang, Jianfeng Lu

CoRR, 2024

Interacting Particle Systems on Networks: joint inference of the network and the interaction kernel.

Quanjun Lang, Xiong Wang, Fei Lu, Mauro Maggioni

CoRR, 2024

2023

Small noise analysis for Tikhonov and RKHS regularizations.

Quanjun Lang, Fei Lu

CoRR, 2023

2022

Learning Interaction Kernels in Mean-Field Equations of First-Order Systems of Interacting Particles.

Quanjun Lang, Fei Lu

SIAM J. Sci. Comput., 2022

A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators.

Neil K. Chada, Quanjun Lang, Fei Lu, Xiong Wang

CoRR, 2022

Data adaptive RKHS Tikhonov regularization for learning kernels in operators.

Fei Lu, Quanjun Lang, Qingci An

Proceedings of the Mathematical and Scientific Machine Learning, 2022

2021

Identifiability of interaction kernels in mean-field equations of interacting particles.

Quanjun Lang, Fei Lu

CoRR, 2021

2020

Learning interaction kernels in mean-field equations of 1st-order systems of interacting particles.

Quanjun Lang, Fei Lu

CoRR, 2020