Selected Publications

 > Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, and Yanzhi Wang. A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. In Proceedings of the 46th International Symposium on Computer Architecture(ISCA), ISCA ’19, pages 567–578, New York, NY, USA, 2019. ACM

>  Olivia Chen, Ruizhe Cai, Yanzhi Wang, Fei Ke, Taiki Yamae, Ro Saito, Naoki Takeuchi, and Nobuyuki Yoshikawa. Adiabatic quantum-flux-parametron: towards building extremely energy-efficient circuits and systems. Scientific reports, 9(1):1–10, 2019

> Ruizhe Cai, Olivia Chen, Ao Ren, Ning Liu, Caiwen Ding, Nobuyuki Yoshikawa, and Yanzhi Wang. A majority logic synthesis framework for adiabatic quantum-flux-parametron superconducting circuits. In Proceedings of the 2019 on Great Lakes Symposium on VLSI, GLSVLSI ’19, pages 189–194, New York, NY, USA, 2019. ACM

>  Ruizhe Cai, Olivia Chen, Ao Ren, Ning Liu, Nobuyuki Yoshikawa, and Yanzhi Wang. A buffer and splitter insertion framework for adiabatic quantum-flux-parametron superconducting circuits. In 2019 IEEE 37th International Conference on Computer Design (ICCD), pages 429–436. IEEE, 2019

>  Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, and Yanzhi Wang. VIBNN: Hardware acceleration of bayesian neural networks. In Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), pages 476–488. ACM, 2018 

>  Hongjia Li, Ruizhe Cai, Ning Liu, Xue Lin, and Yanzhi Wang. Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation. Nano Communication Networks, 2018

>  Ruizhe Cai, Ao Ren, Luhao Wang, Massoud Pedram, and Yanzhi Wang. Hardware acceleration of bayesian neural networks using ram based linear feedback gaussian random number generators. In Computer Design, 2017 IEEE International Conference on, pages 289–296. IEEE, 2017

>  Ao Ren, Sijia Liu, Ruizhe Cai, Wujie Wen, Pramod K Varshney, and Yanzhi Wang. Algorithm-hardware co-optimization of the memristor-based framework for solving socp and homogeneous qcqp problems. In Design Automation Conference (ASP-DAC), 2017 22nd Asia and South Pacific, pages 788–793. IEEE, 2017

Industry Experience

> Meta Platforms, Inc.: Research Scientist, Cambridge MA, Sept 2020 -

>Synopsys, Inc.: Research Intern, Boxborough MA, May 2019-Dec 2019

Education

> Northeastern Universtiy, Electrical and Computer Engineering: Ph,D.   Advisor:  Dr. Yanzhi Wang

> Syracuse University, Computer Engineering: M.S.   Advisor: Dr. Yanzhi Wang

> Tokyo Institute of Technology, Computer Engineering: Research Student.  Advisor: Dr. Hiroaki Kunieda and Dr. Tsuyoshi Isshiki 

> Dalian University of Technology, Computer Engineering: B.E.

Professional Activity

Conference Reviewer:

> Conference on Neural Information Processing Systems (NeurIPS) 2021, 2022

> International Conference on Machine Learning (ICML) 2020, 2022

> Internation Conference on Learning Representations (ICLR) 2023

> International Midwest Symposium on Circuits & Systems (MWSCAS) 2020

Journal Reviewer:

> IEEE Transactions on Very Large Scale Integration (VLSI) Systems

> Integration, the VLSI Journal

Teaching Experience

> CSE381: Computer Architecture, Fall 2017

> CSE 561: Digital Systems Design, Fall 2015, Fall 2016

> CSE 671: Embedded System Design, Spring 2016, Spring 2017

> CSE 765: VLSI Verification and Testing: Spring 2016, Spring 2017