Yixuan Hu

Software Engineer (Co-advised with Prof. Runsheng Wang, 2020)

ZTE Corporation (Talent Program)

Interests
  • Efficient AI
Education

  • B.S. in Microelectronics Science and Engineering, 2020

    School of Electronics Engineering and Computer Science, Peking University

  • Ph.D. in Microelectronics (Co-advised with Prof. Runsheng Wang), 2025

    Peking University

Publications

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

Yixuan Hu, Yikang Jia, Meng Li, Yuan Wang, Runsheng Wang, Ru Huang (2024). OSCA: End-to-end Serial Stochastic Computing Neural Acceleration with Fine-grained Scaling and Piecewise Activation. In International Conference on Computer-Aided Design (ICCAD) 2024.

Paper

Tong Xie, Yixuan Hu, Renjie Wei, Meng Li, Runsheng Wang, Yuan Wang, Ru Huang (2024). ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer. In Design, Automation and Test in Europe Conference and Exhibition (DATE) 2024.

Paper

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