Solving Statistical Mechanics using Variational Autoregressive Networks. - Dian Wu; Lei Wang; Pan Zhang (CoRR, 2018)

A Parallel Ranging-Based Relative Position and Orientation Measurement Method for Large-Volume Components. - Dian Wu; Fuzhou Du (J. Sensors, 2018)

Influenza Modeling Based on Massive Feature Engineering and International Flow Deconvolution. - Ziming Liu; Yixuan Wang; Zizhao Han; Dian Wu (CoRR, 2019)

Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks. - Dian Wu; Riccardo Rossi; Giuseppe Carleo (CoRR, 2021)

NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems. - Filippo Vicentini; Damian Hofmann; Attila Szabó; Dian Wu; Christopher Roth; Clemens Giuliani; Gabriel Pescia; Jannes Nys; Vladimir Vargas-Calderón; Nikita Astrakhantsev 001; Giuseppe Carleo (CoRR, 2021)

Modeling and Suppression of the Crosstalk Issue Considering the Influence of the Parasitic Parameters of SiC MOSFETs. - Xiaoli Guo; Dian Wu; Lei Zhang 160; Xibo Yuan; Xinsong Zhang; Shugen Bai; Jian Zhong (IEEE Access, 2022)

From Tensor Network Quantum States to Tensorial Recurrent Neural Networks. - Dian Wu; Riccardo Rossi; Filippo Vicentini; Giuseppe Carleo (CoRR, 2022)

RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior. - Hong-Ye Hu; Dian Wu; Yi-Zhuang You; Bruno A. Olshausen; Yubei Chen (Mach. Learn. Sci. Technol., 2022)