Zhihan Xu 徐志晗
Hi! I am a second-year Ph.D. student in Computer Engineering at University of Southern California, starting from Fall 2023. I am fortunate to work with Professor Viktor Prasanna.
I am working on FPGA acceleration of homomorphic encryption and its applications in privacy-preserving machine learning.
Previously, I worked with Professor Li Jiang and Professor Zhezhi He on CNN accelerator.
I obtained my bachelor's degrees from University of Electronic Science and Technology of China and University of Glasgow, and master's degree from University of Pennsylvania.
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- [Nov. 2024] One paper got accepted by FPGA'25!
- [Mar. 2024] One paper got accepted by FCCM'24!
- [Aug. 2023] Start working at FPGA/Parallel Computing Lab!
- [May. 2023] Received outstanding teaching award from Penn Engineering!
- [Aug. 2022] Spent a wonderful summer interning in GPU DV Team at NVIDIA!
- [Nov. 2021] One paper got accepted by FPGA'22!
- [Sep. 2020] Start working with Prof. Li Jiang and Prof. Zhezhi He at Shanghai Jiao Tong University!
Asterisk(*) indicates equal contribution
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FAST: FPGA Acceleration of Fully Homomorphic Encryption with Efficient Bootstrapping
Zhihan Xu, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna
International Symposium on Field-Programmable Gate Arrays (FPGA), 2025
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Bandwidth Efficient Homomorphic Encrypted Discrete Fourier Transform Acceleration on FPGA
Zhihan Xu, Yang Yang, Rajgopal Kannan, Viktor K. Prasanna
International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2024
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N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores
Yu Gong*, Zhihan Xu*, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang
International Symposium on Field-Programmable Gate Arrays (FPGA), 2022
[slides][code]
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- Sub-Reviewer for H2RC 2023, TETC 2023, TRETS 2023, HPEC 2024, and IEEE Transactions on Computers
- Reviewer for IEEE Transactions on Very Large Scale Integration (TVLSI 2024)
- Proceedings chair for HiPC 2024
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