Jin Li (computer scientist)

Jin Li
Born 1971 (age 46–47)
Alma mater Tsinghua University
Scientific career
Institutions Microsoft Research
Thesis  (1994)
Website www.microsoft.com/en-us/research/people/jinl/

Jin Li (Chinese: 李劲; born 1971) is a computer scientist. He joined Microsoft Research in 1999, as one of the founding member of Microsoft Research Asia. He is currently a Partner Research Manager at Microsoft Research, Redmond.[1].

Life and work

Li was born in Shanghai,China. In 1984, he demoed computer programs to Deng Xiaoping, then the paramount leader of the People's Republic of China. This iconic event led to the quote “计算机普及要从娃娃” (Computer education should start from children). This event and quote was widely reported in China, [2] [3] [4] [5] , often in the context of teaching computer programming to children, and/or developing computer industry in China.

In 1987, Li matriculated at Tsinghua University at the age of 16. He got PhD in 1994. He was considered one of the youngest PhDs in China in the 20th century. [6]

Li joined Integrated Media Systems Center of University of Southern California in 1994 as an Associate Researcher. In 1996, he joined Sharp Laboratories of America. In 1999, he joined Microsoft Research Asia as one of its founding member [7] [8] , and won a Microsoft Gold Star award for his contribution in founding the lab. He returned to Microsoft Research Redmond in 2001, where he served as the Partner Research Manager for the Cloud Computing and Storage group.

Li made extensive contribution to Multimedia compression standard (JPEG 2000, MPEG-4, HEVC), on topics of optimized scalable coding [9], visual optimization in scalable coding [10], coding of object of non-rectangular shape, [11], region-of-interest interactive image browsing [12], scalable audio coding [13], and bi-directional motion compensation [14] He was a pioneer in P2P video delivery [15]. His work on the Local Reconstruction Code (LRC) has shipped in Azure Storage, which has lead to hundreds of millions dollars of saving to Microsoft per annum [16] , a Best Paper Award at USENIX ATC 2012 [17] , and a Microsoft TCN Storage Technical Achievement Award. LRC has also been used in Storage Space (shipped in Windows & Windows Server) [18]. His work on Data Deduplication in Windows Server 2012 is among the top 3 File Server features introduced [19]. It has received rave press reviews [20] [21]. His work to exploit the benefit of SSD for high performance storage applications has lead to "FlashStore" and SkimpyStash [22] , the former [23] has been shipped in Bing/AdCenter for cloud object storage, the latter [24] has been incorporated into BW-Tree, which is shipping in SQL Server 2014 (Hekaton) and Azure DocumentDB. He developed RemoteFX for WAN, [25] , which provides a fast and fluid user experience in a remote session for Windows running over any WAN and wireless networks.

Li is the leader of the open source project Prajna [26] and DL Workspace [27]. Prajna is a Apache Spark-like distributed computational platform on .Net. DL Workspace [28] is an open sourced toolkit that empower AI scientists to quickly spin up a cloud AI infrastructure (either in public cloud, such as Microsoft Azure, Amazon Web Services, Google Compute Engine, or in an on-perm cluster ) to manage AI training, interactive exploration, inference, and analytics. DL Workspace supports all major Deep Learning toolkit out of box (e.g., TensorFlow, PyTorch, Caffe (software), CNTK, etc..).

Li was the program chair for ACM Multimedia 2016 and ICME [29] steering committee chair ( 2014-2015). He is an IEEE Fellow.

References

  1. ↑ "Jin Li, Partner Research Manager, Microsoft Research". Microsoft Research. Retrieved August 14, 2018.
  2. ↑ 大榕树 (September 16, 2009). "计算机普及要从娃娃抓起20周年". it.sohu.com. 搜狐IT-搜狐网站. Retrieved August 14, 2018.
  3. ↑ 凤栖 (August 28, 2014). "计算机普及要从娃娃抓起". www.cnpeople.com.cn. 中华儿女报刊社. Retrieved August 14, 2018.
  4. ↑ 高辰 (August 22, 2014). "邓小平视察上海：计算机的普及要从娃娃抓起". www.cnpeople.com.cn. 新民晚报. Retrieved August 14, 2018.
  5. ↑ 徐冬梅 (February 16, 2004). "二十年前一句鼓励话"计算机娃娃"成微软研究员". www.people.com.cn. 北京娱乐信报. Retrieved August 14, 2018.
  6. ↑ 孙云晓 (February 19, 2007). "中国最年轻的博士". blog.sina.com.cn. 新浪微博. Retrieved August 14, 2018.
  7. ↑ "李劲：当年电脑娃娃如今微软英才". tech.sina.com.cn. 北京科技报. February 11, 2004. Retrieved August 14, 2018.
  8. ↑ 国仁 (February 16, 2017). "十九年来，从微软亚洲研究院走出了他们". 虎嗅. huxiu.com. Retrieved August 14, 2018.
  9. ↑ Li, Jin; Lei, Shawmin (July 1999). "An embedded still image coder with rate-distortion optimization" (PDF). IEEE Trans. On Image Processing. 8 (7): 913–924. Bibcode:1999ITIP....8..913L. CiteSeerX 10.1.1.120.1405. doi:10.1109/83.772232. PMID 18267504.
  10. ↑ Li, Jin (January 1999). "Visual progressive coding" (PDF). SPIE: Visual Communication and Image Processing. Visual Communications and Image Processing '99. 3653 (116): 1143–1154. Bibcode:1998SPIE.3653.1143L. doi:10.1117/12.334621.
  11. ↑ Li, Jin; Lei, Shawmin (October 1998). Arbitrary shape wavelet transform with phase alignment (PDF). Proceedings 1998 International Conference on Image Processing. ICIP98. 3. pp. 683–687. doi:10.1109/ICIP.1998.727352. ISBN 978-0-8186-8821-8.
  12. ↑ Li, Jin; Sun, Hong-Hui (January 2001). "Virtual media (Vmedia) access protocol and its application in interactive image browsing" (PDF). SPIE: Multimedia Computing and Networking. Multimedia Computing and Networking 2001. 4312: 99–110. Bibcode:2000SPIE.4312...99L. doi:10.1117/12.410901.
  13. ↑ Li, Jin (December 2002). Embedded Audio Coding (EAC) With Implicit Auditory Masking (PDF). Proceedings of the Tenth ACM International Conference on Multimedia. pp. 592–601. doi:10.1145/641007.641126. ISBN 978-1581136203.
  14. ↑ Luo, Lin; Li, Jin; Li, Shipeng; Zhuang, Zhenquan; Zhang, Ya-Qin (August 2001). Motion compensated lifting wavelet and its application in video coding (PDF). IEEE International Conference on Multimedia and Expo. pp. 481–484. CiteSeerX 10.1.1.2.9104. doi:10.1109/ICME.2001.1237732. ISBN 978-0-7695-1198-6.
  15. ↑ Cheng, Huang; Li, Jin; Ross, Keith W. (August 2007). Can internet video-on-demand be profitable? (PDF). SIGCOMM '07 Proceedings of the 2007 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications. pp. 133–144. CiteSeerX 10.1.1.144.9115. doi:10.1145/1282380.1282396. ISBN 9781595937131.
  16. ↑ Knies, Rob (July 2, 2014). "The Code That No One in the Cloud Can Live Without". www.microsoft.com. Microsoft Research Blog. Retrieved August 16, 2018.
  17. ↑ Huang, Cheng; Simitci, Huseyin; Xu, Yikang; Ogus, Aaron; Calder, Brad; Gopalan, Parikshit; Li, Jin; Yekhanin, Sergey (2012). Erasure Coding in Windows Azure Storage. Boston, MA: USENIX. pp. 15–26. ISBN 978-931971-93-5 Check |isbn= value: length (help).
  18. ↑ Joergensen, Claus (September 6, 2016). "Volume resiliency and efficiency in Storage Spaces Direct". blogs.technet.microsoft.com. Storage at Microsoft.
  19. ↑ Gantenbein, Douglas (October 13, 2011). "Eliminating Duplicated Primary Data". www.microsoft.com. Microsoft Research Blog.
  20. ↑ Deuby, Sean (October 13, 2011). "Windows Server 2012 Data Deduplication". www.itprotoday.com. ITPro.
  21. ↑ Verboon, Alex (August 20, 2012). "Windows Server 2012 Data Deduplication–A must have". www.verboon.info. Anything about IT.
  22. ↑ Gantenbein, Doug (February 14, 2011). "Faster Servers, Services with FlashStore". www.microsoft.com. Microsoft Research Blog.
  23. ↑ Debnath, Biplob K.; Sengupta, Sudipta; Li, Jin (2010). "FlashStore: High Throughput Persistent Key-Value Store". Proceedings of the VLDB Endowment: 1414–1425.
  24. ↑ Debnath, Biplob K.; Sengupta, Sudipta; Li, Jin (2011). "SkimpyStash: RAM space skimpy key-value store on flash-based storage". SIGMOD '11 Proceedings of the 2011 ACM SIGMOD International Conference on Management of Data: 25–36.
  25. ↑ Mahajan, Rajneesh (August 23, 2012). "RemoteFX for WAN: Overview of Intelligent and Adaptive Transports in Windows 8 and Windows Server 2012". cloudblogs.microsoft.com. Microsoft.
  26. ↑ "Prajna: A Distributed Functional Programming Platform for Interactive Big Data Analytics and Cloud Service Building".
  27. ↑ "Deep Learning Workspace".
  28. ↑ Jin Li (September 13, 2017). DL Workspace: Running TensorFlow.
  29. ↑ "International Conference on Multimedia and Expo".
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