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)

Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk. - Lingxiao Wang 006; Tian Xu; Till Hannes Stoecker; Horst Stöcker; Yin Jiang; Kai Zhou (Mach. Learn. Sci. Technol., 2021)

Measuring Dynamics in Evacuation Behaviour with Deep Learning. - Huaidian Hou; Lingxiao Wang 006 (Entropy, 2022)

Diffusion Models as Stochastic Quantization in Lattice Field Theory. - Lingxiao Wang 006; Gert Aarts; Kai Zhou (CoRR, 2023)

Generative Diffusion Models for Lattice Field Theory. - Lingxiao Wang 006; Gert Aarts; Kai Zhou (CoRR, 2023)

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)

Diffusion models learn distributions generated by complex Langevin dynamics. - Diaa E. Habibi; Gert Aarts; Lingxiao Wang 006; Kai Zhou (CoRR, 2024)

Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks. - Shuai Han; Lukas Stelz; Horst Stoecker; Lingxiao Wang 006; Kai Zhou (J. Frankl. Inst., 2024)

DiaaEddinH/On-learning-higher-order-cumulants-in-diffusion-models: v1.0.1. - Diaa Eddin Habibi; Gert Aarts; Lingxiao Wang 006; Kai Zhou (Zenodo, 2024)

DiaaEddinH/On-learning-higher-order-cumulants-in-diffusion-models: v1.0.2. - Diaa E. Habibi; Gert Aarts; Lingxiao Wang 006; Kai Zhou (Zenodo, 2024)

On learning higher-order cumulants in diffusion models. - Gert Aarts; Diaa E. Habibi; Lingxiao Wang 006; Kai Zhou (Mach. Learn. Sci. Technol., 2025)