 |  Jing-Wen Yang (J.-W. Yang) Can be pronounced as "jim when young" M.Sc. Student LAMDA Group Department of Computer Science National Key Laboratory for Novel Software Technology Nanjing University Laboratory: 912, Building of Computer Science and Technology, Xianlin Campus of Nanjing University email:  , |   |
Currently I am a second year graduate student of Department of Computer Science and Technology in Nanjing University and a member of LAMDA Group(LAMDA Publications), led by professor Zhi-Hua Zhou.
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Supervisor
Associate professor Yang Yu.Edit
Biography
I was admitted to study in Elite Project in September 2010 and received my B.Sc. degree in Computer Science and Technology in June 2014. In the same year, I was admitted to study for a M.Sc. degree in Nanjing University without entrance examination.Edit
Research Interest
I am interested in investigating towards the goal of artificial intelligence. Currently I am focusing on the subfields:- Ensemble learning : to achieve the strongest generalization ability from finite samples;
- Deep Learning : to efficiently and effectively find representations of high dimensional data for
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Teaching Assistant
Artificial Intelligence. (for undergraduate students. Spring, 2015) >>>Course Page>>>Edit
Projects & Tutorials
- A Glance at Deep Reinforcement Learning a short tutorial to deep reinforecemnt learning
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Awards & Honors
- First Prize in 1st National Big Data Competition for College Students Chengdu, April, 2015
- Excellent Project Completion in the National Undergraduate Innovation Program. Nanjing, June, 2013
- Elite Project Scholarship. Nanjing, November, 2013
- Third Prize in Microsoft's Kinect for Windows Application Design Competition. Nanjing, June, 2013
- Elite Project Scholarship. Nanjing, November, 2012
- Third Prize in SAP Mobile Application Design Competition. Nanjing, May, 2012
Mail:
National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(In Chinese:) 南京市栖霞区仙林大道163号，南京大学仙林校区603信箱，软件新技术国家重点实验室，210023。