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Yuke's research interests include Systems & Compiler for deep learning and Parallel Programming. His recent projects cover graph neural network (GNN) optimization and its acceleration on GPUs. Yuke is also the recipient of the NVIDIA Graduate Fellowship 2022 - 2023 (Top-10 out of global applicants). The ultimate goal of Yuke’s research is to facilitate efficient, scalable, and secure deep learning in the future.
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论文共 40 篇作者统计合作学者相似作者
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International Conference on Architectural Support for Programming Languages and Operating Systemspp.964-979, (2024)
PROCEEDINGS OF THE 2023 THE 50TH ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE, ISCA 2023pp.155-168, (2023)
USENIX Annual Technical Conferencepp.149-164, (2023)
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arXiv (Cornell University) (2022)
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