Weiqiang Liu

Best Publications

• Design of Approximate Radix-4 Booth Multipliers for Error-Tolerant Computing

  Weiqiang Liu;Liangyu Qian;Chenghua Wang;Honglan Jiang

  297
  Citations

• A Retrospective and Prospective View of Approximate Computing [Point of View}

  Weiqiang Liu;Fabrizio Lombardi;Michael Shulte

  168
  Citations

• Design and Evaluation of Approximate Logarithmic Multipliers for Low Power Error-Tolerant Applications

  Weiqiang Liu;Jiahua Xu;Danye Wang;Chenghua Wang

  166
  Citations

• Are QCA cryptographic circuits resistant to power analysis attack

  Weiqiang Liu;S. Srivastava;Liang Lu;M. O'Neill

  131
  Citations

• Design rules for Quantum-dot Cellular Automata

  Weiqiang Liu;Liang Lu;Maire O'Neill;Earl E. Swartzlander

  124
  Citations

• Design and Analysis of Majority Logic-Based Approximate Adders and Multipliers

  Weiqiang Liu;Tingting Zhang;Emma McLarnon;Maire OrNeill

  86
  Citations

• A Flip-Flop Based Arbiter Physical Unclonable Function (APUF) Design with High Entropy and Uniqueness for FPGA Implementation

  Chongyan Gu;Weiqiang Liu;Yijun Cui;Neil Hanley

  78
  Citations

• Design and Analysis of Approximate Redundant Binary Multipliers

  Weiqiang Liu;Tian Cao;Peipei Yin;Yuying Zhu

  77
  Citations

• High Performance CNN Accelerators Based on Hardware and Algorithm Co-Optimization

  Tian Yuan;Weiqiang Liu;Jie Han;Fabrizio Lombardi

  77
  Citations

• Approximate Designs for Fast Fourier Transform (FFT) With Application to Speech Recognition

  Weiqiang Liu;Qicong Liao;Fei Qiao;Weijie Xia

  71
  Citations

• Hybrid Low Radix Encoding-Based Approximate Booth Multipliers

  Haroon Waris;Chenghua Wang;Weiqiang Liu

  70
  Citations

• Design and Implementation of an Approximate Softmax Layer for Deep Neural Networks

  Yue Gao;Weiqiang Liu;Fabrizio Lombardi

  67
  Citations

• On the Design of Approximate Restoring Dividers for Error-Tolerant Applications

  Linbin Chen;Jie Han;Weiqiang Liu;Fabrizio Lombardi

  66
  Citations

• Design and Analysis of Energy-Efficient Dynamic Range Approximate Logarithmic Multipliers for Machine Learning

  Peipei Yin;Chenghua Wang;Haroon Waris;Weiqiang Liu

  65
  Citations

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

  Linbin Chen;Jie Han;Weiqiang Liu;Fabrizio Lombardi

  63
  Citations

• Intellectual Property Protection for Deep Learning Models: Taxonomy, Methods, Attacks, and Evaluations.

  Mingfu Xue;Yushu Zhang;Jian Wang;Weiqiang Liu

  62
  Citations

• A machine learning attack resistant multi-PUF design on FPGA

  Unknown

  60
  Citations

• Hybrid Partial Product-based High-Performance Approximate Recursive Multipliers

  Haroon Waris;Chenghua Wang;Weiqiang Liu;Jie Han

  59
  Citations

• A Modeling Attack Resistant Deception Technique for Securing Lightweight-PUF-Based Authentication

  Chongyan Gu;Chip-Hong Chang;Weiqiang Liu;Shichao Yu

  58
  Citations

• Design and evaluation of an approximate Wallace-Booth multiplier

  Liangyu Qian;Chenghua Wang;Weiqiang Liu;Fabrizio Lombardi

  50
  Citations