Postdoc
Shiwei Liu
Shiwei Liu is a Ph.D. candidate in the Mathematics and Computer Science department at the Eindhoven University of Technology (TU/e). He is an expert in deep learning and sparse neural networks. Recently, his research interest is designing empirical studies to understand the behaviors of neural networks. He believes that sparse artificial neural networks have the potential to fully replace conventional dense neural networks and it's just a matter of time.
Recent Publications
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Lu Yin,Shiwei Liu,Meng Fang,Tianjin Huang,Vlado Menkovski,Mykola Pechenizkiy
Lottery Pools
(2022) -
Lu Yin,Vlado Menkovski,Meng Fang,Tianjin Huang,Yulong Pei,Mykola Pechenizkiy,Decebal Constantin Mocanu,Shiwei Liu
Superposing Many Tickets into One
(2022) -
Shiwei Liu
Sparse Neural Network Training with In-Time Over-Parameterization
(2022) -
Lu Yin,Vlado Menkovski,Meng Fang,Tianjin Huang,Yulong Pei,Mykola Pechenizkiy,Decebal Constantin Mocanu,Shiwei Liu
Superposing Many Tickets into One
38th Conference on Uncertainty in Artificial Intelligence, UAI 2022 (2022) -
Shiwei Liu,Iftitahu Ni'Mah,V. Menkovski,Decebal C. Mocanu,Mykola Pechenizkiy
Efficient and effective training of sparse recurrent neural networks
Neural Computing and Applications (2021)
Ancillary Activities
No ancillary activities