Gu-Yeon Wei

Harvard University

Professor

Electrical Engineering (SEAS)

Which program are you applying for ?

View Bookmark

Research Area

#Computer science#Artificial intelligence#Artificial neural network#System on a chip#Engineering#Computer engineering#Efficient energy use#Deep learning#Electronic engineering#Computer architecture

SCIE paper information

Papers relevant to ‘Computer science’: 15

Research performance of SCIE papers matching with ‘Computer science’

Citations of SCIE papers SCIE papers 08k16k24k32k40k070140210280350420490560

*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.

  • DNN Engine: A 28-nm Timing-Error Tolerant Sparse Deep Neural Network Processor for IoT Applications

    2018/06 IEEE JOURNAL OF SOLID-STATE CIRCUITS 5.173 Impact Factor 41 citations

    Paul N. Whatmough, Sae Kyu Lee, David Brooks, Gu-Yeon Wei

    DOI : 10.1109/JSSC.2018.2841824

  • MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance

    2020/03 IEEE MICRO 4.175 Impact Factor 33 citations

    Peter Mattson, Hanlin Tang, Gu-Yeon Wei, Carole-Jean Wu, Vijay Janapa Reddi, Christine Cheng, Cody Coleman, Greg Diamos, David Kanter, Paulius Micikevicius, David A. Patterson, Guenther Schmuelling

    DOI : 10.1109/MM.2020.2974843

How can I correct errors in PhD.GO?


Papers for author ‘Gu-Yeon Wei’: 24

Number of published SCIE papers by year

024682014201520162017201820192020
H-index 8
Number of NCS papers 0

*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.

  • DNN Engine: A 28-nm Timing-Error Tolerant Sparse Deep Neural Network Processor for IoT Applications

    2018/06 IEEE JOURNAL OF SOLID-STATE CIRCUITS 5.173 Impact Factor 41 citations

    Paul N. Whatmough, Sae Kyu Lee, David Brooks, Gu-Yeon Wei

    DOI : 10.1109/JSSC.2018.2841824

  • MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance

    2020/03 IEEE MICRO 4.175 Impact Factor 33 citations

    Peter Mattson, Hanlin Tang, Gu-Yeon Wei, Carole-Jean Wu, Vijay Janapa Reddi, Christine Cheng, Cody Coleman, Greg Diamos, David Kanter, Paulius Micikevicius, David A. Patterson, Guenther Schmuelling

    DOI : 10.1109/MM.2020.2974843

How can I correct errors in PhD.GO?

conference information

Papers relevant to ‘Computer science’: 12

Research performance of Top-tier Conference matching with ‘Computer science’

Citations of Top-tier Conference Top-tier Conference paper(s) 020k40k60k80k100k0306090120150180210240

*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.

  • Minerva: enabling low-power, highly-accurate deep neural network accelerators

    2016/06 ISCA Top-tier Conference 499 citations

    Brandon Reagen, Paul N. Whatmough, Robert Adolf, Saketh Rama, Hyunkwang Lee, Sae Kyu Lee, José Miguel Hernández-Lobato, Gu-Yeon Wei, David Brooks

    DOI : 10.1145/3007787.3001165

  • Profiling a warehouse-scale computer

    2015/06 ISCA Top-tier Conference 334 citations

    Svilen Kanev, Juan Pablo Darago, Kim Hazelwood, Parthasarathy Ranganathan, Tipp Moseley, Gu-Yeon Wei, David Brooks

    DOI : 10.1145/2749469.2750392

How can I correct errors in PhD.GO?


Papers for author ‘Gu-Yeon Wei’: 13

Number of published Top-tier Conference by year

01234201520162017201820192020
Top-tier Conference 13

*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.

  • Minerva: enabling low-power, highly-accurate deep neural network accelerators

    2016/06 ISCA Top-tier Conference 499 citations

    Brandon Reagen, Paul N. Whatmough, Robert Adolf, Saketh Rama, Hyunkwang Lee, Sae Kyu Lee, José Miguel Hernández-Lobato, Gu-Yeon Wei, David Brooks

    DOI : 10.1145/3007787.3001165

  • Profiling a warehouse-scale computer

    2015/06 ISCA Top-tier Conference 334 citations

    Svilen Kanev, Juan Pablo Darago, Kim Hazelwood, Parthasarathy Ranganathan, Tipp Moseley, Gu-Yeon Wei, David Brooks

    DOI : 10.1145/2749469.2750392

How can I correct errors in PhD.GO?