Chen Olivia

チェンオリビア | Chen Olivia

Homepage URL (1)： http://oliviachen.info

Research field (2)： Computer systems , Electronic devices and equipment

Research keywords (4)： EDA , VLSI , Beyond CMOS , Superconducting electronics

Research theme for competitive and other funds (5)：

2023 - 2030 高性能非ノイマン型超伝導SoCの開発
2023 - 2028 非決定性超伝導回路を用いた高性能機械学習計算基盤の創出
2022 - 2027 Construction of stochastic superconductor neural networks towards ultra-low-power machine learning
2019 - 2023 アルゴリズム・ソフトウェア・ハードウェアの融合による超低電力ニューラルネットワークの構築
2019 - 2021 超伝導断熱磁束量子パラメトロンを用いた低電力深層学習専用チップの開発

Papers (55)：

Tomoharu Yamauchi, Hao San, Nobuyuki Yoshikawa, Olivia Chen. Design and Implementation of Energy-Efficient Binary Neural Networks Using Adiabatic Quantum-Flux-Parametron Logic. IEEE Transactions on Applied Superconductivity. 2023. 33. 5. 1-5
Luo, W., Chen, O., Yoshikawa, N., Takeuchi, N. Sigmoid function generator using stochastic adiabatic superconductor logic. Applied Physics Letters. 2023. 122. 24
Masoud Zabihi, Yanyue Xie, Zhengang Li, Peiyan Dong, Geng Yuan, Olivia Chen, Massoud Pedram, Yanzhi Wang. A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits. CoRR. 2023. abs/2307.12216
Olivia Chen, Yanzhi Wang, Fei Ke, Nobuyuki Yoshikawa. Design and Implementation of an FFT-Based Neural Network Accelerator Using Rapid Single-Flux-Quantum Technology. NEWCAS. 2023. 1-5
Rongliang Fu, Junying Huang, Mengmeng Wang, Nobuyuki Yoshikawa, Bei Yu 0001, Tsung-Yi Ho, Olivia Chen. BOMIG: A Majority Logic Synthesis Framework for AQFP Logic. Design(DATE). 2023. 1-2

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Lectures and oral presentations (41)：

Non-Linear Function Generator Using Stochastic Superconductive Circuits
(Applied Superconductivity Conference 2022 2022)
Design and Implementation of High-Performance Binary Neural Network Using Adiabatic Quantum- Flux-Parametron Logic
(2022)
A Study on In-Memory Binary Neural Networks Using Adiabatic Quantum-Flux-Parametron Logic
(SSV2022&QCCC2022 2022)
Design and Evaluation of a Multi-Output True Random Number Generator Based on Adiabatic Quantum-Flux-Parametron Logic
(14th Superconducting SFQ VLSI Workshop 2021)
Multi-Output True Random Number Generator Based on Adiabatic Quantum-Flux-Parametron Logic
(15th European Conference on Applied Superconductivity 2021)

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Education (2)：

2014 - 2017 Yokohama National University Graduate School, Division of Information Engineering
2004 - 2008 China Southeast University Faculty of Engineering

Professional career (4)：

Work history (4)：

2024/04 - 現在 Kyushu University Faculty of Information Science and Electrical Engineering
2021/04 - 現在 Yokohama National University Institute of Advanced Sciences Visiting Associate Professor
2021/04 - 2024/03 Tokyo City University Department of Computer Sciences Associate Professor
2017/04 - 2021/03 Yokohama National University Institute of Advanced Sciences Specially Appointed Assistant Professor

Committee career (12)：

2023/08 - 現在 2024 Design, Automation and Test in Europe Conference (DATE) TPC Member
2023/08 - 現在 2024 Applied Superconductivity Conference (ASC24) Program Committee Member
2022/06 - 現在 IEICE 超伝導エレクトロニクス(SCE)研究専門委員会委員
2022/04 - IEEE GCCE Session Co-chair
2022/02 - 2022/03 2022 Great Lakes Symposium on VLSI Technical Program Committee Member

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Awards (5)：

2023/09 - 東京都市大学優秀研究賞
2020/06 - 横浜国立大学外部資金獲得研究者表彰
2019/03 - Cryogenic Society of America 2019 Young Professional by Cryogenic Society of America
2017/01 - SNF Contest for Best ASC 2016 Contributed Preprints
2013/04 - 日揮・実吉奨学会日揮・実吉奨学金

Association Membership(s) (4)：

CSSJ , ACM , IEICE , IEEE

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