Reconstructing spectral functions via automatic differentiation. - Lingxiao Wang 006; Shuzhe Shi; Kai Zhou (CoRR, 2021)

Automatic differentiation approach for reconstructing spectral functions with neural networks. - Lingxiao Wang 006; Shuzhe Shi; Kai Zhou (CoRR, 2021)

Rethinking the ill-posedness of the spectral function reconstruction - Why is it fundamentally hard and how Artificial Neural Networks can help. - Shuzhe Shi; Lingxiao Wang 006; Kai Zhou (Comput. Phys. Commun., 2023)

A numerical algorithm for solving the coupled Schrödinger equations using inverse power method. - Jiaxing Zhao; Shuzhe Shi (Comput. Phys. Commun., 2024)

Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics. - Gert Aarts; Kenji Fukushima; Tetsuo Hatsuda; Andreas Ipp; Shuzhe Shi; Lingxiao Wang; Kai Zhou (CoRR, 2025)