Yejin Lee

Affiliations. Computer Science and Engineering, Seoul National University

Email
Curriculum Vitae

Yejin is a Ph.D candidate student in the Department of Computer Science and Engineering at Seoul National University working with Professor Jae W. Lee.

Her current research area includes hardware-software co-design for big data analytics and machine learning. Specifically, her research aims to accelerate such domains by identifying the relative criticality of the data and supporting critical data with specialized hardware architectures.

Her research has been recognized with an IEEE Micro Top Picks distinction and has appeared in top computer architecture and systems venues like ASPLOS and ISCA.

News

Sep 27, 2021 Won 2021 Google PhD Fellowhsip! :thumbsup:
Mar 5, 2021 Paper accepted to ISCA 2021. ELSA: Hardware-Software Co-design for Efficient, Lightweight Self-Attention Mechanism in Neural Networks
Nov 19, 2020 Paper accepted to ASPLOS 2021. MERCI: Efficient Embedding Reduction on Commodity Hardware via Sub-Query Memoization

Publications

  1. HPCA
    ANNA: Specialized Architecture for Approximate Nearest Neighbor Search
    Yejin Lee, Hyunji Choi, Sunhong Min, Hyunseung Lee, Sangwon Baek, Dawoon Jeong, Jae W. Lee, Tae Jun Ham
    In Proceedings of the 27th IEEE International Symposium on High-Performance Computer Architecture (HPCA) 2022
  2. IEEE Micro
    Accelerating Genomic Data Analytics With Composable Hardware Acceleration Framework
    Tae Jun Ham, David Bruns-Smith, Brendan Sweeney, Yejin Lee, Seong Hoon Seo, U Gyeong Song, Young H. Oh, Krste Asanovic, Jae W. Lee, Lisa Wu Wills
    IEEE Micro 2021
  3. ISCA
    ELSA: Hardware-Software Co-design for Efficient, Lightweight Self-Attention Mechanism in Neural Networks
    *Tae Jun Ham, *Yejin Lee, Seong Hoon Seo, Soosung Kim, Hyunji Choi, Sung Jun Jung, Jae W. Lee
    * These authors contributed equally to this work.
    In Proceedings of the ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA) 2021
  4. ASPLOS
    MERCI: Efficient Embedding Reduction on Commodity Hardware via Sub-Query Memoization
    Yejin Lee, Seong Hoon Seo, Hyunji Choi, Hyoung Uk Sul, Soosung Kim, Jae W. Lee, Tae Jun Ham
    In Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2021
  5. ISCA
    Genesis: A Hardware Acceleration Framework for Genomic Data Analysis
    Tae Jun Ham, David Bruns-Smith, Brendan Sweeney, Yejin Lee, Seong Hoon Seo, U Gyeong Song, Young H. Oh, Krste Asanovic, Jae W. Lee, Lisa Wu Wills
    In Proceedings of the ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA) 2020
  6. ASPLOS
    IIU: Specialized Architecture for Inverted Index Search
    Jun Heo, Jaeyeon Won, Yejin Lee, Shivam Bharuka, Jaeyoung Jang, Tae Jun Ham, Jae W. Lee
    In Proceedings of the 25th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2020
  7. MICRO
    Charon: Specialized Near-Memory Processing Architecture for Clearing Dead Objects in Memory
    Jaeyoung Jang, Jun Heo, Yejin Lee, Jaeyeon Won, Seonghak Kim, Sung Jun Jung, Hakbeom Jang, Tae Jun Ham, Jae W. Lee
    In Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO) 2019
  8. ITC-CSCC
    Performance Analysis of Convolutional Neural Networks on Manycore Platforms
    Jaeyoung Jang, Yejin Lee, Jae W. Lee
    In The 34th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) 2019
  9. KCC
  10. KCC
    The development of a spoken lecture summary Application Software using TextRank on Android platform
    HeeWoong Jang, Yong June Kim, Yejin Lee, Myoung-Wan Koo
    In Proceedings of the Korean Information Science Society Conference 2017

Honors and Awards

2021 Google PhD Fellowship Recipient - Recipient of Google PhD Fellowship Program that recognize and support outstanding PhD candidates who are doing exceptional and innovative research in computer science
2020 IEEE MICRO Top Picks - One of my research work is selected as Top 12 computer architecture articles published in 2020
2020 Summa Cum Laude
2016, 2017 Academic Achievement Scholarship

Invited Talks

April, 2021 PeRSonAl workshop @ MLSys - Virtual
MERCI: Effcient Embedding Reduction on Commodity Hardware via Sub-Query Memoization
April, 2021 SNU Artificial Intelligence Institute Workshop - Seoul, South Korea
MERCI: Effcient Embedding Reduction on Commodity Hardware via Sub-Query Memoization

Services

2021 Student Volunteer
International Symposium on Code Generation and Optimization (CGO)

Teaching Experience

Sep-Dec, 2018 Teaching assistant for Computer Architecture Course (Instructor: Prof. Jae W. Lee)
Course Summary: Learning computer architecture including ISA, CPU, Pipeline, Memory hierarchy, I/O devices.
Mar-Jun, 2018 Teaching assistant for Hardware System Design (Instructor: Prof. Jae W. Lee)
Course Summary: Learning the basic concepts of hardware system design and practicing how to implement hardware systems using Verilog by weekly practice labs.
Mar-Jun, 2017 Undergraduate Mentor for Basic Engineering Design (Instructor: Prof. Myungwhan Choi)
Course Summary: Learning the basic concepts and grammar of C language and fostering the ability to develop and design algorithm through weekly programming practices.
Sep-Dec, 2016 Undergraduate Mentor for C programming (Instructor: Prof. Ji-Hwan Kim)
Course Summary: Learning the advanced concepts and grammar of C language and fostering the ability to develop and design algorithm through weekly programming practices.
Mar-Jun, 2016 Undergraduate Mentor for Computational Thinking (Instructor: Prof. Jungyun Seo)
Course Summary: Learning C++ and Python and problem solving skills with computational thinking by solving various kinds of problems.