Tengyu Zhang

PhD Student (co-advised with Prof. Runsheng Wang, 2022)

Peking University

Interests
  • Privacy-Preserving AI
Education

  • B.E. in Peking University, 2022

Publications

Tengyu Zhang, Chenqi Lin, Jiangrui Yu, Shuwen Deng, Meng Li (2025). FENIX: Flexible and Efficient Hybrid HE/MPC Acceleration with Near-Memory Processing. In International Conference on Computer-Aided Design (ICCAD) 2025.

Paper

Tengyu Zhang, Tong Xie, Haoyang Luo, Yixuan Hu, Yaoyu Tao, Xiyuan Tang, Yuan Wang, Runsheng Wang, Meng Li (2025). A 28nm 534.6TOPS/W Mixed-Precision Edge Accelerator for Embodied AI Using Stochastic Computing. In Asian Solid-State Circuits Conference (A-SSCC) 2025.

Paper

Tengyu Zhang, Yufei Xue, Ling Liang, Zhen Gu, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li (2025). FLASH: An Efficient Hardware Accelerator Leveraging Approximate and Sparse FFT for Homomorphic Encryption. In Design, Automation and Test in Europe Conference and Exhibition (DATE) 2025.

Paper Slides

Meng Li, Yixuan Hu, Tengyu Zhang, Renjie Wei, Yawen Zhang, Ru Huang, Runsheng Wang (2023). Not your father’s stochastic computing (SC)! Efficient yet Accurate End-to-End SC Accelerator Design. In International Conference on ASIC (ASICON) 2023.

Paper

Yixuan Hu, Tengyu Zhang, Meng Li, Renjie Wei, Liangzhen Lai, Yuan Wang, Runsheng Wang, Ru Huang (2023). Efficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network. In Design Automation Conference (DAC) 2023.

Paper

Yixuan Hu, Tengyu Zhang, Renjie Wei, Meng Li, Runsheng Wang, Yuan Wang, Ru Huang (2023). Accurate yet Efficient Stochastic Computing Neural Acceleration with High Precision Residual Fusion. In Design, Automation and Test in Europe Conference and Exhibition (DATE) 2023.

Paper