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2020 – today
- 2022
[j3]Xiaoli Guo, Dian Wu, Lei Zhang
, Xibo Yuan, Xinsong Zhang, Shugen Bai, Jian Zhong:
Modeling and Suppression of the Crosstalk Issue Considering the Influence of the Parasitic Parameters of SiC MOSFETs. IEEE Access 10: 114118-114134 (2022)- [j2]Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen:
RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior. Mach. Learn. Sci. Technol. 3(3): 35009 (2022) - [i6]Dian Wu, Riccardo Rossi, Filippo Vicentini, Giuseppe Carleo:
From Tensor Network Quantum States to Tensorial Recurrent Neural Networks. CoRR abs/2206.12363 (2022) - 2021
- [i5]Dian Wu, Riccardo Rossi, Giuseppe Carleo:
Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks. CoRR abs/2105.05650 (2021) - [i4]Filippo Vicentini, Damian Hofmann, Attila Szabó, Dian Wu, Christopher Roth, Clemens Giuliani, Gabriel Pescia, Jannes Nys, Vladimir Vargas-Calderón, Nikita Astrakhantsev, Giuseppe Carleo:
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems. CoRR abs/2112.10526 (2021) - 2020
- [i3]Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen:
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior. CoRR abs/2010.00029 (2020)
2010 – 2019
- 2019
- [i2]Ziming Liu, Yixuan Wang, Zizhao Han, Dian Wu:
Influenza Modeling Based on Massive Feature Engineering and International Flow Deconvolution. CoRR abs/1912.02989 (2019) - 2018
- [j1]Dian Wu, Fuzhou Du:
A Parallel Ranging-Based Relative Position and Orientation Measurement Method for Large-Volume Components. J. Sensors 2018: 2404825:1-2404825:11 (2018) - [i1]Dian Wu, Lei Wang, Pan Zhang:
Solving Statistical Mechanics using Variational Autoregressive Networks. CoRR abs/1809.10606 (2018)
Coauthor Index
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