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Personal profile
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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.
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Research output
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Are Large Kernels Better Teachers than Transformers for ConvNets?
Huang, T., Yin, L., Zhang, Z., Shen, L., Fang, M., Pechenizkiy, M., Wang, Z. & Liu, S., 30 May 2023, 40th International Conference on Machine Learning, ICML 2023.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile -
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
Liu, S., Chen, T., Chen, X., Chen, X., Xiao, Q., Wu, B., Kärkkainen, T., Pechenizkiy, M., Mocanu, D. C. & Wang, Z., 2023, (Accepted/In press) International Conference on Learning Representations, ICLR 2023.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks
Atashgahi, Z., Zhang, X., Kichler, N., Liu, S., Yin, L., Pechenizkiy, M., Veldhuis, R. & Mocanu, D. C., Mar 2023, (Accepted/In press) In: Transactions on Machine Learning Research. XX, XResearch output: Contribution to journal › Article › Academic › peer-review
Open Access -
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
Liu, S., Chen, T., Atashgahi, Z., Chen, X., Sokar, G., Mocanu, E., Pechenizkiy, M., Wang, Z. & Mocanu, D. C., 20 Jan 2022, (Accepted/In press) International Conference on Learning Representations, ICLR 2022.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
File57 Downloads (Pure) -
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance
Liu, S., Tian, Y., Chen, T. & Shen, L., 1 Mar 2022, (Submitted) In: International Journal of Computer Vision. XX, XResearch output: Contribution to journal › Article › Academic › peer-review
Prizes
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Best Paper Award of LoG 2022
Huang, Tianjin (Recipient), Chen, Tianlong (Recipient), Fang, Meng (Recipient), Menkovski, V. (Recipient), Zhao, Jiaxu (Recipient), Yin, Lu (Recipient), Pei, Yulong (Recipient), Mocanu, Decebal C. (Recipient), Wang, Zhangyang (Recipient), Pechenizkiy, Mykola (Recipient) & Liu, Shiwei (Recipient), 1 Dec 2022
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Activities
- 1 Conference
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2020 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020)
Shiwei Liu (Organiser)
13 Sept 2020 → 18 Sept 2020Activity: Participating in or organising an event types › Conference › Scientific