XIAOMING CHEN

ASSOCIATE PROFESSOR

Center for Intelligent Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences

DAMO Academy Young Fellow

Young Scientist @ Beijing Academy of Artificial Intelligence

 

陈晓明

副研究员

中国科学院计算技术研究所,智能计算机研究中心,基础研究课题组负责人

达摩院青橙学者

北京智源人工智能研究院青年科学家

 

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

(请不要用QQ邮箱给我发邮件。不接受任何广告邮件)

Office phone: 010-62600797

招生信息

本课题组的学生主要在集成电路和体系结构设计方法学领域开展前沿研究,研究成果均发表在高水平国际会议和期刊上,多数学生从本科毕设阶段起即发表论文,多位学生发表CCF A类论文。

我希望你是:

1.务实的人。简历、面试过程中不要过度强调履历、论文、获奖,更应注重你做过的事情,能说清事情的意义、你解决的问题、你的解决思路、你遇到的困难、你的解决方案、你的收获等。

2.实事求是的人。准确地表达一个项目中你参与的部分;准确地表达你独创的工作和对已有工作的使用、借鉴;谨慎使用“熟练掌握”甚至“精通”这样的词,除非你真的达到了对应的水平。

3.出于兴趣而从事科研,自我驱动。

在本课题组读硕/博,我希望你在毕业时成为:

1.你所从事的研究方向的专家。在这个方向上比我做的更好,对该方向的发展历史、技术方法、前沿问题的更深入的认识。

2.知识面广的学者。在所从事的研究方向之外,也要有所了解,对于未知的问题能够找到合适的入手点,探索解决思路。

3.善于表达的科技工作者。能够以合理、严谨的方式宣传自己的工作。

招生专业
081201-计算机系统结构
招生方向
存算一体体系结构,集成电路设计自动化(EDA),智能系统安全,电路与系统,机器学习软硬件设计

AWARDS

2019. Selected to join Beijing Academy of Artificial Intelligence as a Young Scientist (北京智源人工智能研究院青年科学家)

2019. Selected to join the Youth Innovation Promotion Association CAS (中国科学院青年创新促进会)

2018. Selected to join the Young Elite Scientists Sponsorship Program of China Association for Science and Technology (中国科协青年人才托举工程)

2018. DAMO Academy Young Fellow Award (达摩院青橙奖)

2016. 2015 EDAA Outstanding Dissertation Award(欧洲设计与自动化协会杰出博士论文奖,迄今大陆博士唯一获奖者)

2014. Tsinghua University Outstanding Ph.D. Dissertation Award

2014. Excellent Graduate Student of Beijing

2014. Best Paper Nomination, ASP-DAC 2014

2012. Best Paper Nomination, ASP-DAC 2012

2009. Best Paper Nomination, ISLPED 2009

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

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

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. The software package has been adopted by several world's leading institutes, universities and companies. Some techniques have commercially 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).


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.


SELECTED 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%]

STUDENTS

Current Students

Zhenyu Quan, PhD candidate. 

Yuxin Yang, PhD student. 

Tao Song, MS student.

Xiaoyu Zhang, MS student. 

Liang Yan, PhD student. 

Yuping Wu, PhD student.

Wanqian Li, MS student.

Zerun Li, PhD student.

Xiaotian Sun, MS student.

Zhiwen Xie, MS student.

Rui Liu, PhD student (joint supervision).

 

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 @ ???

学生获奖

杨雨昕,国家奖学金

李宛茜,南开大学(校级)优秀毕业设计

张啸宇,中国科学技术大学(校级)优秀毕业设计

刘博生,北京市优秀毕业生

刘博生,博士生国家奖学金

刘博生,朱李月华奖

刘博生,华为博士生奖

徐晟,虑得博士生奖

宋涛,所长优秀奖学金