Showing 1 - 20 results of 21 for search 'Chen, Yu-Hsin', query time: 0.07s Refine Results
  1. 1
    A Deeply Pipelined CABAC Decoder for HEVC Supporting Level 6.2 High-tier Applications

    A Deeply Pipelined CABAC Decoder for HEVC Supporting Level 6.2 High-tier Applications by Chen, Yu-Hsin, Sze, Vivienne

    Published 2015
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    Article
  2. 2
    Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks

    Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks by Chen, Yu-Hsin, Emer, Joel S., Sze, Vivienne

    Published 2016
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  3. 3
    Using Dataflow to Optimize Energy Efficiency of Deep Neural Network Accelerators

    Using Dataflow to Optimize Energy Efficiency of Deep Neural Network Accelerators by Chen, Yu-Hsin, Emer, Joel S, Sze, Vivienne

    Published 2021
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    Article
  4. 4
    Architecture design for highly flexible and energy-efficient deep neural network accelerators

    Architecture design for highly flexible and energy-efficient deep neural network accelerators by Chen, Yu-Hsin, Ph. D. Massachusetts Institute of Technology

    Published 2018
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    Thesis
  5. 5
    Dynamic binary translation from x86-32 code to x86-64 code for virtualization

    Dynamic binary translation from x86-32 code to x86-64 code for virtualization by Chen, Yu-hsin, M. Eng. Massachusetts Institute of Technology

    Published 2010
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    Thesis
  6. 6
    Investigating thermal dependence on monolithically-integrated photonic interconnects

    Investigating thermal dependence on monolithically-integrated photonic interconnects by Chen, Yu-Hsin, Ph. D. Massachusetts Institute of Technology

    Published 2013
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    Thesis
  7. 7
    Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks

    Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks by Chen, Yu-Hsin, Krishna, Tushar, Emer, Joel S., Sze, Vivienne

    Published 2016
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  8. 8
    A method to estimate the energy consumption of deep neural networks

    A method to estimate the energy consumption of deep neural networks by Yang, Tien-Ju, Chen, Yu-Hsin, Emer, Joel S, Sze, Vivienne

    Published 2021
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    Article
  9. 9
    How to Evaluate Deep Neural Network Processors: TOPS/W (Alone) Considered Harmful

    How to Evaluate Deep Neural Network Processors: TOPS/W (Alone) Considered Harmful by Sze, Vivienne, Chen, Yu-Hsin, Yang, Tien-Ju, Emer, Joel S

    Published 2021
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    Article
  10. 10
    Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices

    Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices by Chen, Yu-Hsin, Yang, Tien-Ju, Emer, Joel S, Sze, Vivienne

    Published 2021
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    Article
  11. 11
    Efficient Processing of Deep Neural Networks: A Tutorial and Survey

    Efficient Processing of Deep Neural Networks: A Tutorial and Survey by Sze, Vivienne, Chen, Yu-Hsin, Yang, Tien-Ju, Emer, Joel S

    Published 2021
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    Article
  12. 12
    Clinical factors predicting ureteral stent failure in patients with external ureteral compression

    Clinical factors predicting ureteral stent failure in patients with external ureteral compression by Wu Kuan Ju, Chen Yi Zhong, Chen Marcelo, Chen Yu-Hsin

    Published 2021-09-01
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    Article
  13. 13
    Retrieval of intrarenal coiled and ruptured guidewire by retrograde intrarenal surgery: A case report and literature review

    Retrieval of intrarenal coiled and ruptured guidewire by retrograde intrarenal surgery: A case report and literature review by Chen Bo-Han, Chang Tsung-Hsin, Chen Marcelo, Chen Yu-Hsin

    Published 2021-11-01
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    Article
  14. 14
    Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision

    Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision by Suleiman, Amr AbdulZahir, Chen, Yu-Hsin, Emer, Joel S, Sze, Vivienne

    Published 2017
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  15. 15
    Towards closing the energy gap between HOG and CNN features for embedded vision

    Towards closing the energy gap between HOG and CNN features for embedded vision by Suleiman, Amr AbdulZahir, Chen, Yu-Hsin, Emer, Joel S, Sze, Vivienne

    Published 2020
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    Article
  16. 16
    Hardware for machine learning: Challenges and opportunities

    Hardware for machine learning: Challenges and opportunities by Sze, Vivienne, Chen, Yu-Hsin, Einer, Joel, Suleiman, Amr AbdulZahir, Zhang, Zhengdong

    Published 2017
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  17. 17
    Penile calciphylaxis in a patient with end-stage renal disease: a case report and review of the literature

    Penile calciphylaxis in a patient with end-stage renal disease: a case report and review of the literature by Yang Ti-Yuan, Wang Tao-Yeuan, Chen Marcelo, Sun Fang-Ju, Chiu Allen W., Chen Yu-Hsin

    Published 2018-05-01
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    Article
  18. 18
    Efficient Processing of Deep Neural Networks /

    Efficient Processing of Deep Neural Networks / by Sze, Vivienne, author 656123, Chen, Yu-Hsin, author 656124, Yang, Tien-Ju, author 656125, Emer, Joel S., author 656126

    Published 2022
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    software, multimedia
  19. 19
    Growth of large-sized graphene thin-films by liquid precursor-based chemical vapor deposition under atmospheric pressure

    Growth of large-sized graphene thin-films by liquid precursor-based chemical vapor deposition under atmospheric pressure by Dong, Xiaochen, Peng, Wang, Fang, Wenjing, Su, Ching-Yuan, Chen, Yu-Hsin, Li, Lain-Jong, Huang, Wei, Chen, Peng

    Published 2012
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    Journal Article
  20. 20
    Genetic polymorphisms in glutathione S-transferase (GST) superfamily and risk of arsenic-induced urothelial carcinoma in residents of southwestern Taiwan

    Genetic polymorphisms in glutathione S-transferase (GST) superfamily and risk of arsenic-induced urothelial carcinoma in residents of southwestern Taiwan by Hsueh Yu-Mei, Liao Ya-Tang, Wang Yuan-Hung, Lo Wann-Cheng, Chen Yu-Hsin, Yang Tse-Yen, Chen Wu-Ping, Hsu Ling-I, Chiou Hung-Yi, Wu Meei-Maan, Chen Chien-Jen

    Published 2011-07-01
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