Yu Wang is a computational social scientist and sport programmer with a research focus on deep learning and international relations. Yu is pursuing a joint PhD in Computer Science and Political Science (on average 1 degree 1 year). He maintains a professional website dedicated to image mining, iFace, and has 12 Papers analyzing the 2016 presidential election

0) Our Trends and Friends app is released; 
1) Top graduate student in the deep learning class Spring 2017;
2) Two papers accepted by Social Informatics 2017;
3) Three papers accepted by SBP-BRiMS 2017
4) On May 15th Yu joined Laserlike in Mountain View as a software engineer;
5) Yu is on the program committee of NECO 2017. Submissions welcome!
6) New manuscript accepted by Frontiers in Psychology;
8) Yu enters Simon Business School to serve as a TA for CIS 442 Advanced Business Analytics;

Upcoming activities:
1) Yu presents election-series papers at ICWSM in Cologne, Germany, May;
2) Yu presents a paper on regularized negative binomial regression at PolMeth in Houston, Texas, July;
3) Yu presents a 4th paper on the U.S. presidential election at CIKM in Indianapolis,
Indiana, October;
4) Yu presents his work of pride on AIIB at the University of Pennsylvania on Nov. 5th;
5) Yu presents a paper on Chinese Foreign Direct Investments at IPES in Durham, 
North Carolina, in November;
6) Yu presents 3 papers on the U.S. presidential election at BigData 2016 in Washington DC, in December; 
7) Yu presents a paper on the U.S. presidential election at ISM2016 in San Jose, California, in December;
8) Yu presents his work of pride on AIIB at the 10th Conference on the Political Economy of International Organizations at the University of Bern, Switzerland, in Janurary, 2017;
9) Yu presents his work at SBP-BRiMS 2017, Washington DC, in July;
9) Yu dreams;

Tel: 585-287-3455
Email: ywang176@ur.rochester.edu
Rookie Scholar: https://scholar.google.com/citations?user=YGNgQSgAAAAJ

La vie est belle.

Yu Wang,
Feb 7, 2017, 1:10 PM