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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.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Research output: Contribution to journal › Article › Academic › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Research output: Contribution to journal › Article › Academic › peer-review
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
Shiwei Liu (Organiser)
Activity: Participating in or organising an event types › Conference › Scientific