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| 1 | +--- |
| 2 | +# Display name |
| 3 | +title: Yingwei Luo |
| 4 | + |
| 5 | +# Full Name (for SEO) |
| 6 | +first_name: Yingwei |
| 7 | +last_name: Luo |
| 8 | + |
| 9 | +# Is this the primary user of the site? |
| 10 | +superuser: true |
| 11 | + |
| 12 | +# Role/position |
| 13 | +role: Professor |
| 14 | + |
| 15 | +# homepage: https://zhou-diyu.github.io # If you do not want to use the internal homepage, set this to your external homepage |
| 16 | + |
| 17 | +# Organizations/Affiliations |
| 18 | +organizations: |
| 19 | + - name: Peking University |
| 20 | + url: 'https://www.pku.edu.cn' |
| 21 | + |
| 22 | +# # Short bio (displayed in user profile at end of posts) |
| 23 | +# bio: My research interests include distributed robotics, mobile computing and programmable matter. |
| 24 | + |
| 25 | +# interests: |
| 26 | +# - Artificial Intelligence |
| 27 | +# - Computational Linguistics |
| 28 | +# - Information Retrieval |
| 29 | + |
| 30 | +# education: |
| 31 | +# courses: |
| 32 | +# - course: PhD in Artificial Intelligence |
| 33 | +# institution: Stanford University |
| 34 | +# year: 2012 |
| 35 | +# - course: MEng in Artificial Intelligence |
| 36 | +# institution: Massachusetts Institute of Technology |
| 37 | +# year: 2009 |
| 38 | +# - course: BSc in Artificial Intelligence |
| 39 | +# institution: Massachusetts Institute of Technology |
| 40 | +# year: 2008 |
| 41 | + |
| 42 | +# Social/Academic Networking |
| 43 | +# For available icons, see: https://docs.hugoblox.com/getting-started/page-builder/#icons |
| 44 | +# For an email link, use "fas" icon pack, "envelope" icon, and a link in the |
| 45 | +# form "mailto:[email protected]" or "#contact" for contact widget. |
| 46 | +social: |
| 47 | + - icon: envelope |
| 48 | + icon_pack: fas |
| 49 | + |
| 50 | +# - icon: twitter |
| 51 | +# icon_pack: fab |
| 52 | +# link: https://twitter.com/GeorgeCushen |
| 53 | +# - icon: google-scholar |
| 54 | +# icon_pack: ai |
| 55 | +# link: https://scholar.google.co.uk/citations?user=sIwtMXoAAAAJ |
| 56 | +# - icon: github |
| 57 | +# icon_pack: fab |
| 58 | +# link: https://github.com/gcushen |
| 59 | +# Link to a PDF of your resume/CV from the About widget. |
| 60 | +# To enable, copy your resume/CV to `static/files/cv.pdf` and uncomment the lines below. |
| 61 | +# - icon: cv |
| 62 | +# icon_pack: ai |
| 63 | +# link: files/cv.pdf |
| 64 | + |
| 65 | +# Enter email to display Gravatar (if Gravatar enabled in Config) |
| 66 | + |
| 67 | + |
| 68 | +# Highlight the author in author lists? (true/false) |
| 69 | +highlight_name: false |
| 70 | + |
| 71 | +# Organizational groups that you belong to (for People widget) |
| 72 | +# Set this to `[]` or comment out if you are not using People widget. |
| 73 | +user_groups: |
| 74 | + - Professors |
| 75 | +--- |
| 76 | +Luo, Yingwei is a professor in the School of Computer Science, and has served as the Vice Director of Institute of Network Computing and Information Systems since 2016. He obtained his BS from Zhejiang University in 1993, MS and PhD from Peking University in 1996 and 1999 respectively. His research interests include system virtualization, cloud computing, locality theory and memory system optimization. |
| 77 | + |
| 78 | +Dr. Luo has published more than 100 research papers, and some of them are published in top-tier conferences and journals, such as Usenix ATC, ICS, IEEE TC and TPDS. He holds over ten Chinese patents. He is a distinguished member of CCF and a member of ACM, IEEE. |
| 79 | + |
| 80 | +Dr. Luo has more than twenty research projects including NSFC, 973 programs, 863 project, etc. His research achievements are summarized as follows: |
| 81 | + |
| 82 | +1) System virtualization: He proposed a new virtualization scheme – dynamic para-virtualization, which brings about new design space for virtualization technology. He also developed some new optimization methods to improve virtualization performance, especially for memory hierarchy. |
| 83 | + |
| 84 | +2) Locality theory and its application: He focused on locality theory and optimizing techniques for hybrid heterogeneous and hierarchical memory systems He presented a kinetic model of LRU cache memory, based on the average eviction time (AET) of the cached data. He also proposed some new locality-aware solutions for cache and memory management to improve the performance of memory systems. |
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