Ruizhe Cai

Publication Activity (10 Years)

Years Active: 2016-2019
Publications (10 Years): 16

Top Topics

Highly Efficient

Logic Synthesis

Discrete Fourier Transform

Top Venues

Nano Commun. Networks

Publications

Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang
A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology. CoRR (2019)
Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yanzhi Wang
HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (8) (2019)
Ruizhe Cai, Olivia Chen, Ao Ren, Ning Liu, Caiwen Ding, Nobuyuki Yoshikawa, Yanzhi Wang
A Majority Logic Synthesis Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. ACM Great Lakes Symposium on VLSI (2019)
Ruizhe Cai, Xiaolong Ma, Olivia Chen, Ao Ren, Ning Liu, Nobuyuki Yoshikawa, Yanzhi Wang
IDE Development, Logic Synthesis and Buffer/Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. ISVLSI (2019)
Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang
A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. ISCA (2019)
Ruizhe Cai, Olivia Chen, Ao Ren, Ning Liu, Nobuyuki Yoshikawa, Yanzhi Wang
A Buffer and Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. ICCD (2019)
Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang
VIBNN: Hardware Acceleration of Bayesian Neural Networks. CoRR (2018)
Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang
VIBNN: Hardware Acceleration of Bayesian Neural Networks. ASPLOS (2018)
Ruizhe Cai, Ao Ren, Sucheta Soundarajan, Yanzhi Wang
A low-computation-complexity, energy-efficient, and high-performance linear program solver based on primal-dual interior point method using memristor crossbars. Nano Commun. Networks 18 (2018)
Hongjia Li, Ruizhe Cai, Ning Liu, Xue Lin, Yanzhi Wang
Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation. Nano Commun. Networks 16 (2018)
Ao Ren, Sijia Liu, Ruizhe Cai, Wujie Wen, Pramod K. Varshney, Yanzhi Wang
Algorithm-Hardware Co-Optimization of the Memristor-Based Framework for Solving SOCP and Homogeneous QCQP Problems. CoRR (2018)
Ruizhe Cai, Ao Ren, Luhao Wang, Massoud Pedram, Yanzhi Wang
Hardware Acceleration of Bayesian Neural Networks Using RAM Based Linear Feedback Gaussian Random Number Generators. ICCD (2017)
Ao Ren, Sijia Liu, Ruizhe Cai, Wujie Wen, Pramod K. Varshney, Yanzhi Wang
Algorithm-hardware co-optimization of the memristor-based framework for solving SOCP and homogeneous QCQP problems. ASP-DAC (2017)
Geng Yuan, Caiwen Ding, Ruizhe Cai, Xiaolong Ma, Ziyi Zhao, Ao Ren, Bo Yuan, Yanzhi Wang
Memristor crossbar-based ultra-efficient next-generation baseband processors. MWSCAS (2017)
Ruizhe Cai, Ao Ren, Yanzhi Wang, Bo Yuan
Memristor-Based Discrete Fourier Transform for Improving Performance and Energy Efficiency. ISVLSI (2016)
Ruizhe Cai, Ao Ren, Yanzhi Wang, Sucheta Soundarajan, Qinru Qiu, Bo Yuan, Paul Bogdan
A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars. SoCC (2016)