个人简介
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
2020. 2019 Excellent Researcher of Institute of Computing Techonology
2019年计算所优秀员工
2019. Joining Beijing Academy of Artificial Intelligence as a Young Scientist
入选北京智源人工智能研究院青年科学家
2019. 2018 Excellent Researcher of Institute of Computing Techonology
2018年计算所优秀员工
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
入选中国科协青年人才托举工程
2018. DAMO Academy Young Fellow Award
首届阿里巴巴达摩院青橙奖（全国9人获奖）
2016. 2015 EDAA Outstanding Dissertation Award, awarded by the European Design and Automation Association
2015年度欧洲设计与自动化协会杰出博士论文，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，分数84/126，全国第45名，免试保送清华大学
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，分数281/300
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 80+ 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 or https://gitee.com/chenxm1986/nicslu. NICSLU has been proven to be a high-performance solver in real circuit simulations by several leading EDA companies. Some techniques have been adopted in domestic EDA software.
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
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
SELECTED PUBLICATIONS
I have published 80+ papers in total, in which 20+ are in the CCF A category (top-level conferences/journals).
For my full publication list, click here.
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.
Left But Never Forgotten
Bosheng Liu, PhD, now Assistant Professor @ Guangdong University of Technology
Shiqi Lian, PhD, now engineer @ Meituan
Sheng Xu, PhD, now Assistant Professor @ Anhui Normal University
Past Students @ Tsinghua University
Song Yao, now Senior Director @ AI Department, DeePhi, Xilinx
Ling Ren, PhD @ MIT, now Assistant Professor @ UIUC
Qiaoyi Liu, now PhD student @ Stanford University
Gushu Li, now PhD student @ UCSB
Shuai Tao, now engineer @ Tencent
Xin Li, now engineer @ DeePhi
Guohui Wu, now engineer @ ???
SERVICES
Organization Committee Member of
ASP-DAC 2020
Member of
IEEE
CCF
CCF professional committee on fault-tolerant computing
Technical Program Committee Member of
GLSVLSI 2020
DAC 2020 & 2021
DAC LBR 2020
ICCAD 2019-2021
VLSID 2019-2021
ASP-DAC 2019
AsianHOST 2018-2020
ISVLSI 2018 & 2019
IGSC 2020
CAD/CG 2015 & 2017
DAC PhD Forum 2015-2020
China Fault Tolerant Computing Conference 2019
China Test Conference 2020
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)
Journal of Parallel and Distributed Computing (JPDC)
Science China---Information Sciences
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
Embedded Systems Letters
Conference Reviewer of
DAC, ASP-DAC, ICCAD, DATE, ISQED, ISLPED, ICCD, CG Week, etc.
近期论文
查看导师新发文章
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JOURNAL PAPERS
[J7] Bosheng Liu, Xiaoming Chen*, Yinhe Han, Haobo Xu, "Swallow: A Versatile Accelerator for Sparse Neural Networks", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD).
[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.
SELECTED CONFERENCE PAPERS
[C9] Tao Song, Xiaoming Chen*, Yinhe Han, "BRAHMS: Beyond Conventional RRAM-based Neural Network Accelerators Using Hybrid Analog Memory System", in 2021 Design Automation Conference (DAC'21).
[C8] Yuxin Yang, Xiaoming Chen*, Yinhe Han, "Fast and Efficient Processing-in-Memory Accelerator for Collision Detection", in 2020 Design Automation Conference (DAC’20).
[C7] Xiaoming Chen, Yinhe Han, Yu Wang, "Communication Lower Bound in Convolution Accelerators", in 2020 International Symposium on High-Performance Computer Architecture (HPCA'20). [acceptance rate: 19.4%]
[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%]
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