Yiran Chen

Chen

Professor in the Department of Electrical and Computer Engineering

Yiran Chen received B.S (1998) and M.S. (2001) from Tsinghua University and Ph.D. (2005) from Purdue University. After five years in industry, he joined University of Pittsburgh in 2010 as Assistant Professor and then promoted to Associate Professor with tenure in 2014, held Bicentennial Alumni Faculty Fellow. He is now the Professor of the Department of Electrical and Computer Engineering at Duke University and serving as the director of NSF Industry–University Cooperative Research Center (IUCRC) for Alternative Sustainable and Intelligent Computing (ASIC) and the co-director of Duke Center for Computational Evolutionary Intelligence (CEI). His group focuses on the research of new memory and storage systems, machine learning and neuromorphic computing, and mobile computing systems. Dr. Chen has published 1 book and more than 400 technical publications and has been granted 96 US patents. He serves or served the associate editor of more than ten international academic transactions/journals and served on the technical and organization committees of more than 60 international conferences. He is now serving as the Editor-in-Chief of the IEEE Circuits and Systems Magazine. He received seven best paper awards, one best poster award, and fourteen best paper nominations from international conferences and workshops. He is the recipient of the NSF CAREER award, the ACM SIGDA outstanding new faculty award, the Humboldt Research Fellowship for Experienced Researchers, and the IEEE SYSC/CEDA TCCPS Mid-Career Award. He is a distinguished lecturer of IEEE CEDA and listed in the HPCA Hall of Fame. He is a Fellow of the ACM and IEEE.

Appointments and Affiliations

  • Professor in the Department of Electrical and Computer Engineering
  • Professor of Computer Science

Contact Information

Education

  • Ph.D. Purdue University, 2005

Research Interests

Emerging memory and storage technologies

Embedded systems, CPS, edge computing, and mobile applications

Neuromorphic computing, deep learning and system security

Low power circuit and system

Awards, Honors, and Distinctions

  • Edward J. McCluskey Technical Achievement Award. Institute of Electrical and Electronics Engineers (IEEE). 2022
  • ACM Fellow. ACM. 2020
  • IEEE Fellow. IEEE. 2018

Courses Taught

  • COMPSCI 393: Research Independent Study
  • ECE 590: Advanced Topics in Electrical and Computer Engineering
  • ECE 661: Computer Engineering Machine Learning and Deep Neural Nets
  • ECE 891: Internship
  • ECE 899: Special Readings in Electrical Engineering

In the News

Representative Publications

  • Hanson, E; Li, S; Li, HH; Chen, Y, Cascading Structured Pruning: Enabling High Data Reuse for Sparse DNN Accelerators, Proceedings International Symposium on Computer Architecture (2022), pp. 522-535 [10.1145/3470496.3527419] [abs].
  • Li, T; Jing, N; Mao, Z; Chen, Y, A Hybrid-Grained Remapping Defense Scheme Against Hard Failures for Row-Column-NVM, Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 41 no. 6 (2022), pp. 1842-1854 [10.1109/TCAD.2021.3097288] [abs].
  • Yang, X; Taylor, B; Wu, A; Chen, Y; Chua, LO, Research Progress on Memristor: From Synapses to Computing Systems, Ieee Transactions on Circuits and Systems I: Regular Papers, vol 69 no. 5 (2022), pp. 1845-1857 [10.1109/TCSI.2022.3159153] [abs].
  • Mao, J; Yang, Q; Li, A; Nixon, KW; Li, H; Chen, Y, Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks, Acm Transactions on Embedded Computing Systems, vol 21 no. 3 (2022) [10.1145/3484946] [abs].
  • Chen, Y; Wang, Y, A survey of architectures of neural network accelerators, Scientia Sinica Informationis, vol 52 no. 4 (2022), pp. 596-611 [10.1360/SSI-2021-0409] [abs].