Postdoc
Shiwei Liu
Department / Institute
Group
Shiwei Liu is a Newton International Fellow at the University of Oxford. He obtained his Ph.D. with the Cum Laude (distinguished Ph.D. thesis) from the Eindhoven University of Technology in 2022. His Ph.D. thesis received the 2023 Best Dissertation Runner-up Award from Informatics Europe. His research interest is to leverage, understand, and expand the role of sparsity in neural networks, whose impacts span many important topics, such as efficient training/inference/transfer of large-foundation models, robustness and trustworthiness, generative AI and graph learning.
Recent Publications
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Shiwei Liu,Yuesong Tian,Tianlong Chen,Li Shen
Don't Be So Dense
International Journal of Computer Vision (2023) -
Tianjin Huang,Lu Yin,Zhenyu Zhang,Li Shen,Meng Fang,Mykola Pechenizkiy,Zhangyang Wang,Shiwei Liu
Are Large Kernels Better Teachers than Transformers for ConvNets?
(2023) -
Zahra Atashgahi,Xuhao Zhang,Neil Kichler,Shiwei Liu,Lu Yin,Mykola Pechenizkiy,Raymond Veldhuis,Decebal Constantin Mocanu
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks
Transactions on Machine Learning Research (2023) -
Tianjin Huang,Tianlong Chen,Meng Fang,Vlado Menkovski,Jiaxu Zhao,Lu Yin,Yulong Pei,Decebal Constantin Mocanu,Zhangyang Wang,Mykola Pechenizkiy
You Can Have Better Graph Neural Networks by Not Training Weights at All
arXiv (2022) -
Lu Yin,Shiwei Liu,Meng Fang,Tianjin Huang,Vlado Menkovski,Mykola Pechenizkiy
Lottery Pools
(2022)
Ancillary Activities
No ancillary activities