All Stories

  1. Efficient Approximate Decomposition Solver using Ising Model

    Article • June 2024, ACM (Association for Computing Machinery)

    Jie Han

  2. QUQ: Quadruplet Uniform Quantization for Efficient Vision Transformer Inference

    Article • June 2024, ACM (Association for Computing Machinery)

    Jie Han

  3. A High-Performance Stochastic Simulated Bifurcation Ising Machine

    Article • June 2024, ACM (Association for Computing Machinery)

    Jie Han

  4. A Low-Power and High-Accuracy Approximate Adder for Logarithmic Number System

    Article • June 2024, ACM (Association for Computing Machinery)

    Jie Han

  5. A Survey on Approximate Multiplier Designs for Energy Efficiency: From Algorithms to Circuits

    Article • ACM Transactions on Design Automation of Electronic Systems, January 2024, ACM (Association for Computing Machinery)

    Jie Han

  6. Proceedings of the 17th ACM International Symposium on Nanoscale Architectures

    Article • December 2022, ACM (Association for Computing Machinery)

    Jie Han

  7. A Genetic-algorithm-based Approach to the Design of DCT Hardware Accelerators

    Article • ACM Journal on Emerging Technologies in Computing Systems, July 2022, ACM (Association for Computing Machinery)

    Jie Han, Marcello Traiola

  8. Solving traveling salesman problems via a parallel fully connected ising machine

    Article • July 2022, ACM (Association for Computing Machinery)

    Jie Han

  9. A Logarithmic Floating-Point Multiplier for the Efficient Training of Neural Networks

    Article • June 2021, ACM (Association for Computing Machinery)

    Jie Han

  10. A Survey of Coarse-Grained Reconfigurable Architecture and Design

    Article • ACM Computing Surveys, November 2020, ACM (Association for Computing Machinery)

    Jianfeng Zhu, Jie Han

  11. A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology

    Article • June 2019, ACM (Association for Computing Machinery)

    Jie Han, Nobuyuki Yoshikawa

  12. Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks

    Article • May 2018, ACM (Association for Computing Machinery)

    Jie Han

  13. A Review, Classification, and Comparative Evaluation of Approximate Arithmetic Circuits

    Article • ACM Journal on Emerging Technologies in Computing Systems, August 2017, ACM (Association for Computing Machinery)

    Jie Han

  14. On the Approximate Reliability of Multi-state Two-Terminal Networks by Stochastic Analysis

    Article • IET Networks, July 2017, the Institution of Engineering and Technology (the IET)

    Jie Han

  15. A stochastic analysis of competing failures with propagation effects in functional dependency gates

    Article • IISE Transactions, June 2017, Taylor & Francis

    Jie Han

  16. Design of Approximate High-Radix Dividers by Inexact Binary Signed-Digit Addition

    Article • May 2017, ACM (Association for Computing Machinery)

    Jie Han, Weiqiang Liu

  17. Evaluating Data Resilience in CNNs from an Approximate Memory Perspective

    Article • May 2017, ACM (Association for Computing Machinery)

    Jie Han

  18. A Ternary Content Addressable Cell Using a Single Phase Change Memory (PCM)

    Article • May 2015, ACM (Association for Computing Machinery)

    Jie Han

  19. Design of Approximate Unsigned Integer Non-restoring Divider for Inexact Computing

    Article • May 2015, ACM (Association for Computing Machinery)

    Jie Han, Weiqiang Liu

  20. A Comparative Review and Evaluation of Approximate Adders

    Article • May 2015, ACM (Association for Computing Machinery)

    Jie Han

  21. Efficient Fault-Tolerant Topology Reconfiguration Using a Maximum Flow Algorithm

    Article • ACM Transactions on Reconfigurable Technology and Systems, May 2015, ACM (Association for Computing Machinery)

    Jie Han