Ruizhe Cai

According to our database, Ruizhe Cai authored at least 14 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks.

Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yanzhi Wang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology.

Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang

CoRR, 2019

IDE Development, Logic Synthesis and Buffer/Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits.

Ruizhe Cai, Xiaolong Ma, Olivia Chen, Ao Ren, Ning Liu, Nobuyuki Yoshikawa, Yanzhi Wang

Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

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

Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang

Proceedings of the 46th International Symposium on Computer Architecture, 2019

A Buffer and Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits.

Ruizhe Cai, Olivia Chen, Ao Ren, Ning Liu, Nobuyuki Yoshikawa, Yanzhi Wang

Proceedings of the 37th IEEE International Conference on Computer Design, 2019

A Majority Logic Synthesis Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits.

Ruizhe Cai, Olivia Chen, Ao Ren, Ning Liu, Caiwen Ding, Nobuyuki Yoshikawa, Yanzhi Wang

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

2018

Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation.

Hongjia Li, Ruizhe Cai, Ning Liu, Xue Lin, Yanzhi Wang

Nano Commun. Networks, 2018

A low-computation-complexity, energy-efficient, and high-performance linear program solver based on primal-dual interior point method using memristor crossbars.

Ruizhe Cai, Ao Ren, Sucheta Soundarajan, Yanzhi Wang

Nano Commun. Networks, 2018

VIBNN: Hardware Acceleration of Bayesian Neural Networks.

Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang

Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, 2018

2017

Memristor crossbar-based ultra-efficient next-generation baseband processors.

Geng Yuan, Caiwen Ding, Ruizhe Cai, Xiaolong Ma, Ziyi Zhao, Ao Ren, Bo Yuan, Yanzhi Wang

Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

Hardware Acceleration of Bayesian Neural Networks Using RAM Based Linear Feedback Gaussian Random Number Generators.

Ruizhe Cai, Ao Ren, Luhao Wang, Massoud Pedram, Yanzhi Wang

Proceedings of the 2017 IEEE International Conference on Computer Design, 2017

Algorithm-hardware co-optimization of the memristor-based framework for solving SOCP and homogeneous QCQP problems.

Ao Ren, Sijia Liu, Ruizhe Cai, Wujie Wen, Pramod K. Varshney, Yanzhi Wang

Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

2016

A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars.

Ruizhe Cai, Ao Ren, Yanzhi Wang, Sucheta Soundarajan, Qinru Qiu, Bo Yuan, Paul Bogdan

Proceedings of the 29th IEEE International System-on-Chip Conference, 2016

Memristor-Based Discrete Fourier Transform for Improving Performance and Energy Efficiency.

Ruizhe Cai, Ao Ren, Yanzhi Wang, Bo Yuan

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2016