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portfolio

publications

PPGNN: Fast and Accurate Privacy-Preserving Graph Neural Network Inference via Parallel and Pipelined Arithmetic-and-Logic FHE Accelerator

Published in Proceedings of the 61st ACM/IEEE Design Automation Conference (DAC), 2024

Recommended citation: Yuntao Wei, Xueyan Wang, Song Bian, Yicheng Huang, Weisheng Zhao, and Yier Jin. 2024. PPGNN: Fast and Accurate Privacy-Preserving Graph Neural Network Inference via Parallel and Pipelined Arithmetic-and-Logic FHE Accelerator. In Proceedings of the 61st ACM/IEEE Design Automation Conference (DAC). Association for Computing Machinery, New York, NY, USA, Article 273, 1–6.
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.