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20152026
most citedDeciphering the 2016 U.S. Presidential Campaign in the Twitter Sphere: A Comparison of the Trumpists and Clintonists

48 citations · 263 across the 22 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.SI2020★ 29 cited

Monitoring Depression Trend on Twitter during the COVID-19 Pandemic

Yipeng Zhang, Hanjia Lyu, Yubao Liu +3

The COVID-19 pandemic has severely affected people's daily lives and caused tremendous economic loss worldwide. However, its influence on people's mental health conditions has not…

cs.SI2020★ 46 cited

Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19

Hanjia Lyu, Long Chen, Yu Wang +1

With the world-wide development of 2019 novel coronavirus, although WHO has officially announced the disease as COVID-19, one controversial term - "Chinese Virus" is still being us…

cs.SI2020★ 37 cited

The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic

Viet Duong, Phu Pham, Tongyu Yang +2

Recently, the pandemic of the novel Coronavirus Disease-2019 (COVID-19) has presented governments with ultimate challenges. In the United States, the country with the highest confi…

cs.SI2020★ 22 cited

In the Eyes of the Beholder: Analyzing Social Media Use of Neutral and Controversial Terms for COVID-19

Long Chen, Hanjia Lyu, Tongyu Yang +2

During the COVID-19 pandemic, "Chinese Virus" emerged as a controversial term for coronavirus. To some, it may seem like a neutral term referring to the physical origin of the viru…

cs.CV2020

Video-based Person Re-Identification using Gated Convolutional Recurrent Neural Networks

Yang Feng, Yu Wang, Jiebo Luo

Deep neural networks have been successfully applied to solving the video-based person re-identification problem with impressive results reported. The existing networks for person r…