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qianyun_lu [2020/04/08 21:02] – qyluqianyun_lu [2022/03/07 18:26] – [Publications] qylu
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-====== Qianyun Lu ======+====== Qianyun (Savy) Lu ====== 
 +{{:savy_selfie.jpeg?247|QianyunLu_Portrait}}\\
  
-{{wiki:qianyun_lu.jpg?247x247|QianyunLu's Portrait}} \\+BS, 2016, Southeast University, Nanjing, China 
  
-BS, Southeast University, Nanjing 210096, China +MS, 2019, Southeast University, Nanjing, China
  
-MS, Southeast University, Nanjing 210096, China+**Email:** savylu (AT) stanford (DOT) edu
  
-**Email:** qylu (AT) stanford (DOT) edu+[[https://scholar.google.com/citations?user=ae3Nc-AAAAAJ&hl=en|Google Scholar]]  
 +[[https://orcid.org/0000-0002-0466-5072|ORCID]]  
 +[[https://publons.com/researcher/1881177/qianyun-lu/|Publons]]  
 +[[https://twitter.com/lu_qianyun/|Twitter]] 
 +[[https://www.linkedin.com/in/qianyun-savy-lu-20770816b/|LinkedIn]]
  
-[[https://orcid.org/0000-0002-0466-5072|ORCID]] [[https://scholar.google.com/citations?user=ae3Nc-AAAAAJ&hl=en|Google Scholar]] [[https://www.linkedin.com/in/qianyun-lio-lu-20770816b/|LinkedIn]] 
    
 $[hdcolor #04838c$] $[hdcolor #04838c$]
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 Convolutional neural networks (CNNs) for image sensors.\\ Convolutional neural networks (CNNs) for image sensors.\\
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 +====== Publications ======
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 +  * Q. Lu and B. Murmann, "Improving the Energy Efficiency and Robustness of tinyML Computer Vision using Log-Gradient Input Images," to appear at tinyML Research Symposium, March 2022. [[https://arxiv.org/abs/2203.02571|URL]]

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