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XIAOMING CHEN

ASSOCIATE PROFESSOR

​Center for Intelligent Computing Systems

Institute of Computing Technology, Chinese Academy of Sciences

DAMO Academy Young Fellow

 

陈晓明

副研究员(副教授),硕士生导师

中国科学院计算技术研究所,智能计算机研究中心

达摩院青橙学者

 

E-mail: chenxiaoming [at] ict [dot] ac [dot] cn

Office phone: 010-62600797

 

招生信息

   
招生专业
081201-计算机系统结构
招生方向
深度学习软硬件设计,计算机体系结构,电路与系统,集成电路设计自动化,计算存储一体化,非易失存储,硬件安全

AWARDS

 

 

 

 

 

 

 

 

2019. 2018 Excellent Researcher in Institute of Computing Techonology

          计算所优秀员工

2019. Joining the Youth Innovation Promotion Association CAS

          入选中国科学院青年创新促进会

2018. Joining the Young Elite Scientists Sponsorship Program of China Association for Science and Technology/CCF Young ELite Scientists Development Plan

          入选中国科协青年人才托举工程(CCF推荐3位)/CCF青年人才发展计划

2018. DAMO Academy Young Fellow Award

          首届达摩院青橙奖(全国9人获奖)

2016. 2015 EDAA Outstanding Dissertation Award, awarded by the European Design and Automation Association

          2015年度欧洲设计自动化学会优秀博士论文,迄今中国大陆博士唯一获奖者

2014. Tsinghua University Outstanding Ph.D. Dissertation Award

          清华大学优秀博士学位论文

2014. Excellent Graduate Student of Beijing

          北京市优秀毕业生

2014. Best Paper Nomination, ASP-DAC 2014

          ASP-DAC'14最佳论文奖提名

2013. National Scholarship

          国家奖学金

2012. Young Scholarship Award for Distinguished Doctoral Candidates, awarded by Ministry of Education of China

          教育部博士研究生学术新人奖

2012. Best Paper Nomination, ASP-DAC 2012

          ASP-DAC'12最佳论文奖提名

2009. Tsinghua University Outstanding B.S. Thesis Award

          清华大学优秀本科毕业设计论文

2009. Best Paper Nomination, ISLPED 2009

          ISLPED'09最佳论文奖提名,中国大陆首次

2005. Silver Medal, Chinese Mathematical Olympiad (CMO, National Final Competition) 2005

          2005年中国数学奥林匹克(全国决赛)银牌,全国第45名,保送清华大学

2004. First Prize, ranked 2nd in Jiangsu Province, National High School Mathematics Competition 2004

          2004年全国高中数学联赛一等奖,江苏省第2名

 

 

 

 

 

 

 

 

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RESEARCH SUMMARY

 

 

 

 

 

 

My research interests focus on computer-aided design for integrated circuits and systems (machine mearning systems, emerging memories and applications, hardware security, etc.). I received the 2015 EDAA Outstanding Ph.D. Dissertation Award. I have published 60+ papers in world's top journals and conferences.

I have developed a parallel sparse solver named NICSLU which is well suited for SPICE-style circuit simulation applications. NICSLU can be downloaded from https://github.com/chenxm1986/nicslu. NICSLU has been proved to be a high-performance solver in actual circuit simulations by several leading EDA companies.

 

 

 

 

 

 

EDUCATION

 

 

2009/09-2014/07, Tsinghua University

Ph.D. in Electronic Engineering, Advisor: Prof. Huazhong Yang and Prof. Yu Wang

 

2005/09-2009/07, Tsinghua University

B.S. in Electronic Engineering

 

2002/09-2005/07, 江苏省木渎高级中学

 

 

WORK EXPERIENCE

 

2017/11-now, Institute of Computing Technology, Chinese Academy of Sciences

Associate Professor, Master's Supervisor

 

2016/09-2017/10, University of Notre Dame

Full-Time Visiting Assistant Professor in Computer Science and Engineering. Work with Prof. X. Sharon Hu

 

2014/10-2016/08, Carnegie Mellon University

Postdoc Research Associate in Electrical and Computer Engineering. Work with Prof. Xin Li

 

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SELECTED PUBLICATIONS

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

BOOKS

[B1] Xiaoming Chen, Yu Wang, Huazhong Yang, "Parallel Sparse Direct Solver for Integrated Circuit Simulation", Springer International Publishing, 1st edition, Feb. 2017. 136 pages.

 

JOURNAL ARTICLES

[J6] Xiaoming Chen, Kai Ni, Michael Niemier, Yinhe Han, Suman Datta, Xiaobo Sharon Hu, "Power and Area Efficient FPGA Building Blocks Based on Ferroelectric FETs", IEEE Transactions on Circuits and Systems I: Regular Papers (IEEE TCAS-I), vol. 66, no. 5, pp. 1780-1793, May 2019.

[J5] Xiaoming Chen, Danny Ziyi Chen, Yinhe Han, Xiaobo Sharon Hu, "moDNN: Memory Optimal Deep Neural Network Training on Graphics Processing Units", IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), vol. 30, no. 3, pp. 646-661, March 2019.

[J4] Xiaoming Chen, Lin Wang, Yu Wang, Yongpan Liu, Huazhong Yang, "A General Framework for Hardware Trojan Detection in Digital Circuits by Statistical Learning Algorithms", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), vol.36, no.10, pp.1633-1646, Oct. 2017.

[J3] Xiaoming Chen, Lin Wang, Boxun Li, Yu Wang, Xin Li, Yongpan Liu, Huazhong Yang, "Modeling Random Telegraph Noise as a Randomness Source and its Application in True Random Number Generation", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), vol.35, no.9, pp.1435-1448, Sep. 2016.

[J2] Xiaoming Chen, Ling Ren, Yu Wang, Huazhong Yang, "GPU-Accelerated Sparse LU Factorization for Circuit Simulation with Performance Modeling", IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), vol.26, no.3, pp.786-795, March 2015.

[J1] Xiaoming Chen, Yu Wang, Huazhong Yang, "NICSLU: An Adaptive Sparse Matrix Solver for Parallel Circuit Simulation", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), vol.32, no.2, pp.261-274, Feb. 2013.

 

CONFERENCE PROCEEDINGS

 

 

[C6] Xiaoyu Zhang, Xiaoming Chen*, Yinhe Han, "FeMAT: Exploring In-Memory Processing in Multifunctional FeFET-based Memory Array", in 2019 37th International Conference on Computer Design (ICCD'19). [long, acceptance rate: 23.8%]

[C5] Xiaoming Chen, Longxiang Yin, Bosheng Liu, Yinhe Han, "Merging Everything (ME): A Unified FPGA Architecture Based on Logic-in-Memory Techniques", in 2019 56th Design Automation Conference (DAC'19).

[C4] Xiaoming Chen, Danny Z. Chen, Xiaobo Sharon Hu, "moDNN: Memory Optimal DNN Training on GPUs", in 2018 21th Design, Automation, and Test in Europe (DATE'18). [long, acceptance rate: 23.7%]

[C3] Xiaoming Chen, Xunzhao Yin, Michael Niemier, Xiaobo Sharon Hu, "Design and Optimization of FeFET-based Crossbars for Binary Convolution Neural Networks", in 2018 21th Design, Automation, and Test in Europe (DATE'18). [long, acceptance rate: 23.7%]

[C2] Xiaoming Chen, Jianxu Chen, Danny Z. Chen, Xiaobo Sharon Hu, "Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs", in 2017 54th Design Automation Conference (DAC'17), pp.1-6, June 18-22, 2017. [acceptance rate: 160/676=23.7%]

[C1] Xiaoming Chen, Lixue Xia, Yu Wang, Huazhong Yang, "Sparsity-Oriented Sparse Solver Design for Circuit Simulation", in 2016 19th Design, Automation, and Test in Europe (DATE'16), pp.1580-1585, March 14-18, 2016. [long, acceptance rate: 199/829=24%]

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

STUDENTS

 

 

 

 

 

Current Students

Longxiang Yin, Postdoc. Logic-in-memory

    尹龙祥,博士后,研究方向:存内计算

Bosheng Liu, PhD candidate. DNN accelerator

    刘博生,博士生,研究方向:深度神经网络加速器

Zhenyu Quan, PhD candidate. DNN benchmark

    全振宇,博士生,研究方向:深度神经网络基准测试

Yuxin Yang, MS student. Robot accelerator

    杨雨昕,硕士生,研究方向:机器人加速器

Tao Song, MS student. Logic-in-memory

    宋涛,硕士生,研究方向:存内计算

Xiaoyu Zhang, MS student. Logic-in-memory

    张啸宇,硕士生,研究方向:存内计算

Liang Yan, PhD student. Processing-in-memory

    闫亮,博士生,研究方向:存内计算

 

Left But Never Forgotten

Shiqi Lian, PhD, now engineer @ Meituan

    连世奇,博士,现美团研发人员

Sheng Xu, PhD, now Assistant Professor @ Anhui Normal University

    徐晟,博士,现安徽师范大学助理教授

 

Past Students @ Tsinghua University

 

Song Yao, now Senior Director @ AI Department, DeePhi, Xilinx

    姚颂,现赛灵思深鉴科技人工智能业务高级总监

Ling Ren, PhD @ MIT, now Assistant Professor @ UIUC

    任令,马萨诸塞理工学院(麻省理工学院)博士,现伊利诺伊-厄巴纳香槟大学助理教授

Qiaoyi Liu, now PhD student @ Stanford University

    刘乔祎,现斯坦福大学博士研究生

Gushu Li, now PhD student @ UCSB

    李谷澍,现加州圣塔巴巴拉大学博士研究生

Shuai Tao, now engineer @ Tencent

    陶帅,现腾讯工程师

Xin Li, now engineer @ DeePhi

    李鑫,现深鉴科技工程师

Guohui Wu, now engineer @ ???

    吴国辉,现???公司工程师

 

 

 

 

 

SERVICES

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Organization Committee Member of

ASP-DAC 2020

 

Member of

IEEE

CCF

CCF professional committee on fault-tolerant computing

 

Technical Program Committee Member of

DAC 2020

ICCAD 2019

VLSID 2019 & 2020

ASP-DAC 2019

AsianHOST 2018 & 2019

ISVLSI 2018 & 2019

CAD/CG 2015 & 2017

DAC PhD Forum 2015-2019

China Fault Tolerant Computing Conference 2019

 

Session Chair of

ICCD 2019

ASP-DAC 2019

 

Journal Reviewer of

 

ACM Journal on Emerging Technologies in Computing Systems (ACM JETC)

ACM Transactions on Cyber-Physical Systems (ACM TCPS)

IEEE Transactions on Circuits and Systems I (IEEE TCAS-I)

IEEE Transactions on Computers (IEEE TC)

IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS)

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD)

IEEE Transactions on Very Large Scale Integration Systems (IEEE TVLSI)

IEEE Transactions on Big Data (IEEE TBD)

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT)

IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS)

IEEE Access

IEEE Design & Test (IEEE D&T)

IEEE Journal on Emerging and Selected Topics in Circuits and Systems (IEEE JETCAS)

Transactions on Design Automation of Electronic Systems (TODAES)

IET Cyber-Physical Systems: Theory & Applications (IET CPS)

IET Software

International Journal of Electronics and Communications

Journal of Circuits, Systems and Computers (JCSC)

Integration, the VLSI journal

Soft Computing

Elsevier Microelectronics Reliability

Sensors

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Frontiers of Computer Science

 

Conference Reviewer of

DAC, ASP-DAC, ICCAD, DATE, ISQED, ISLPED, ICCD, etc.

 

 


 

 

 

 
 
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