Yuke Wang

Yuke Wang is a fifth-year Doctor of Philosophy (Ph.D.) candidate in the department of computer science at the University of California, Santa Barbara (UCSB). He got his Bachelor of Engineering (B.E.) in software engineering from the University of Electronic Science and Technology of China (UESTC) in 2018.

At UCSB, Yuke is working with Prof Yufei Ding. Yuke's research interests include systems for deep learning. His recent ongoing projects cover graph neural network (GNN) optimization and its acceleration on GPUs. Yuke is also the recipient of NVIDIA Graduate Fellowship 2022 - 2023 (Top-10 out of global applicants).

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[06/13/22] Our EL-Rec paper (the first Tensor-Train-based Large-scale Deep-learning Recommendation System) has been accepted to SC’22, code is open-sourced. Congrats to Zheng on his first Ph.D. paper!
[06/09/22] Our Faith paper (the first GPU-based Transformer Verification framework) has been accepted to USENIX ATC’22, code is open-sourced. Congrats to Boyuan and all collaborators!

[02/06/22] I will be presenting our TC-GNN work on NVIDIA GTC'22 (03/24 at 11am PST). code is open-sourced. slides is ready.
[11/23/21] Received the NVIDIA Graduate Fellowship 2022 - 2023. Thanks to NVIDIA.
[11/16/21] Our QGTC paper has been accepted to PPoPP’22. code is open-sourced.
[06/22/21] Our APNN-TC paper has been accepted to SC’21. code is open-sourced.
[04/26/21] Our Palleon paper has been accepted to USENIX ATC’21.
[03/16/21] Our GNNAdvisor paper has been accepted to OSDI’21. code is open-sourced.


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