Yu Wang

Affiliations:
  • Apple, Cupertino, CA, USA
  • University of Rochester, Department of Political Science, NY, USA


According to our database1, Yu Wang authored at least 29 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2021
Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19.
IEEE Trans. Big Data, 2021

Fine-Grained Analysis of the Use of Neutral and Controversial Terms for COVID-19 on Social Media.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2021

2020
Monitoring Depression Trend on Twitter during the COVID-19 Pandemic.
CoRR, 2020

In the Eyes of the Beholder: Sentiment and Topic Analyses on Social Media Use of Neutral and Controversial Terms for COVID-19.
CoRR, 2020

Video-based Person Re-Identification using Gated Convolutional Recurrent Neural Networks.
CoRR, 2020

The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
Single Training Dimension Selection for Word Embedding with PCA.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
The Great Division.
CoRR, 2018

Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

2017
When Celebrities Endorse Politicians: Analyzing the Behavior of Celebrity Followers in the 2016 U.S. Presidential Election.
CoRR, 2017

Tactics and Tallies: A Study of the 2016 U.S. Presidential Campaign Using Twitter 'Likes'.
CoRR, 2017

Rumor Detection on Twitter Pertaining to the 2016 U.S. Presidential Election.
CoRR, 2017

How Polarized Have We Become? A Multimodal Classification of Trump Followers and Clinton Followers.
Proceedings of the Social Informatics, 2017

When Follow is Just One Click Away: Understanding Twitter Follow Behavior in the 2016 U.S. Presidential Election.
Proceedings of the Social Informatics, 2017

Inferring Follower Preferences in the 2016 U.S. Presidential Primaries with Sparse Learning.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

Detection and Analysis of 2016 US Presidential Election Related Rumors on Twitter.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

2016
Voting with Feet: Who are Leaving Hillary Clinton and Donald Trump?
CoRR, 2016

Will Sanders Supporters Jump Ship for Trump? Fine-grained Analysis of Twitter Followers.
CoRR, 2016

Tactics and Tallies: Inferring Voter Preferences in the 2016 U.S. Presidential Primaries Using Sparse Learning.
CoRR, 2016

Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach.
CoRR, 2016

Pricing the Woman Card: Gender Politics between Hillary Clinton and Donald Trump.
CoRR, 2016

Voting with Feet: Who are Leaving Hillary Clinton and Donald Trump.
Proceedings of the IEEE International Symposium on Multimedia, 2016

Catching Fire via "Likes": Inferring Topic Preferences of Trump Followers on Twitter.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

To Follow or Not to Follow: Analyzing the Growth Patterns of the Trumpists on Twitter.
Proceedings of the News and Public Opinion, 2016

Deciphering the 2016 U.S. Presidential Campaign in the Twitter Sphere: A Comparison of the Trumpists and Clintonists.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Pricing the woman card: Gender politics between hillary clinton and donald trump.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
To Love or to Loathe: How is the World Reacting to China's Rise?
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

America Tweets China: A fine-grained analysis of the state and individual characteristics regarding attitudes towards China.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015


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