“岂能尽如人意，但求无愧我心。”

“Life won’t always meet your expectation, but strive to live without hesitation.”

———《格言联璧·接物类》

Short Bio

Hi! I am an Assistant Professor at the School of Artificial Intelligence, Shandong University. I received my Ph.D. from the Institute of Information Engineering, Chinese Academy of Sciences, where I was co-advised by Prof. Rui Hou and Prof. Mingzhe Zhang.

My research interests broadly lie in computer architecture and systems, with a focus on designing efficient and secure computing systems for privacy-preserving computation and artificial intelligence. My recent work spans hardware acceleration for Fully Homomorphic Encryption (FHE), secure machine learning systems, and accelerator/system design for Large Language Models (LLMs).

Openings

Prospective Students: I am always looking for self-motivated Ph.D., master’s, and undergraduate students interested in computer architecture, secure and privacy-preserving computation, efficient AI systems, and hardware/software co-design. Feel free to contact me at damionfan@163.com with a brief introduction, research interests, CV, and transcript.

News!

• 06/2026: One paper is accepted by TCAD. Thanks to all collaborators!
• 05/2026: I will join the Program Committee of MICRO 2026.
• 04/2026: Two papers are accepted by ISCA 2026. Thanks to all collaborators!
• 11/2025: One paper is accepted by ASPLOS 2026. Thanks to all collaborators!
• 10/2025: One paper is accepted by HPCA 2026. Thanks to all collaborators!
• 09/2025: I will join the Artifact Evaluation Committee of EuroSys 2025.
• 08/2025: I will join the Artifact Evaluation Committee of SOSP 2025.
• 07/2025: One paper is accepted by MICRO 2025. Thanks to all collaborators!
• 07/2025: I will join the Artifact Evaluation Committee of MICRO 2025.
• 06/2025: One paper is accepted by CCS 2025. Thanks to all collaborators!
• 04/2025: Two papers are accepted by ISCA 2025. Thanks to all collaborators!
• 12/2024: I will join the Artifact Evaluation Committee of HPCA 2025.
• 11/2024: One paper is accepted by HPCA 2025. Thanks to all collaborators!
• 07/2024: One paper is accepted by MICRO 2024. Thanks to all collaborators!
• 07/2023: One paper is accepted by TACO 2023. Thanks to all collaborators!
• 02/2023: Two papers are accepted by HPCA 2023. Thanks to all collaborators!

Publications

• Falcon: Algorithm-Hardware Co-Design for Efficient Fully Homomorphic Encryption Accelerator
  • Liang Kong, Xianglong Deng, Guang Fan, Shengyu Fan, Lei Chen, Yilan Zhu, Geng Yang, Yisong Chang, Shoumeng Yan, Mingzhe Zhang
• An Efficient and Scalable Hardware Architecture for Number Theoretic Transform on FPGA with Design Automation
  • Yilan Zhu, Geng Yang, Xingyu Tian, Dilshan Kumarathunga, Liang Kong, Xianglong Deng, Shengyu Fan, Guang Fan, Guiming Shi, Lei Chen, Bo Zhang, Yisong Chang, Shoumeng Yan, Zhenman Fang, Mingzhe Zhang
• WPC: Weight Plaintext Compression for CNN Inference based on RNS-CKKS
  • Guiming Shi, Yuchen Wei, Shengyu Fan, Xianglong Deng, Liang Kong, Xianbin Li, Jingwei Cai, Shuwen Deng, Mingzhe Zhang, Kaisheng Ma
• HAWK: Fully Homomorphic Encryption Accelerator with Fixed-Word Key Decomposition Switching
  • Liang Kong, Shengyu Fan, Xianglong Deng, Lei Chen, Guang Fan, Guiming Shi, Yilan Zhu, Geng Yang, Shoumeng Yan, Mingzhe Zhang
• FAST:An FHE Accelerator for Scalable-parallelism with Tunable-bit
  • Shengyu Fan, Xianglong Deng, Liang Kong, Guiming Shi, Guang Fan, Dan Meng, Rui Hou, Mingzhe Zhang
• Neo: Towards Efficient Fully Homomorphic Encryption Acceleration using Tensor Core
  • Dian Jiao, Xianglong Deng, Zhiwei Wang, Shengyu Fan, Dan Meng, Rui Hou, Mingzhe Zhang
• WarpDrive: GPU-Based Fully Homomorphic Encryption Acceleration Leveraging Tensor and CUDA Cores
  • Guang Fan, Mingzhe Zhang, Fangyu Zheng, Shengyu Fan, Tian Zhou, Xianglong Deng, Wenxu Tang, Liang Kong, Yixuan Song, and Shoumeng Yan
• Trinity: A General Purpose FHE Accelerator
  • Xianglong Deng^*, Shengyu Fan^*, Zhicheng Hu, Zhuoyu Tian, Zihao Yang, Jiangrui Yu, Dingyuan Cao, Dan Meng, Rui Hou, Meng Li, Liang Chang, Qian Lou, Mingzhe Zhang
  • ^*The authors contribute equally.
• Accelerating convolutional neural network by exploiting sparsity on gpus
  • Weizhi Xu, Yintai Sun, Shengyu Fan, Hui Yu, Xin Fu
• TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU
  • Shengyu Fan, Zhiwei Wang, Weizhi Xu, Rui Hou, Dan Meng, Mingzhe Zhang
• Poseidon: Practical Homomorphic Encryption Accelerator
  • Yinghao Yang, Huaizhi Zhang, Shengyu Fan, Hang Lu, Mingzhe Zhang, Xiaowei Li