most citedTrend and Thoughts: Understanding Climate Change Concern using Machine Learning and Social Media Data

9 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2021★ 9 cited

Trend and Thoughts: Understanding Climate Change Concern using Machine Learning and Social Media Data

Zhongkai Shangguan, Zihe Zheng, Lei Lin

Nowadays social media platforms such as Twitter provide a great opportunity to understand public opinion of climate change compared to traditional survey methods. In this paper, we…

cs.CV2021

Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis

Wei Zhu, Zihe Zheng, Haitian Zheng +2

Visual sentiment analysis has received increasing attention in recent years. However, the dataset's quality is a concern because the sentiment labels are crowd-sourcing, subjective…

cs.CV2021

NTIRE 2021 Multi-modal Aerial View Object Classification Challenge

Jerrick Liu, Nathan Inkawhich, Oliver Nina +30

In this paper, we introduce the first Challenge on Multi-modal Aerial View Object Classification (MAVOC) in conjunction with the NTIRE 2021 workshop at CVPR. This challenge is comp…

cs.SI2021★ 1 cited

Misinformation versus Facts: Understanding the Influence of News Regarding COVID-19 Vaccines on Vaccine Uptake

Hanjia Lyu, Zihe Zheng, Jiebo Luo

There is a lot of fact-based information and misinformation in the online discourses and discussions about the COVID-19 vaccines. Using a sample of nearly four million geotagged En…

cs.GL2021

What Kind of Person Wins the Turing Award?

Zhongkai Shangguan, Zihe Zheng, Jiebo Luo

Computer science has grown rapidly since its inception in the 1950s and the pioneers in the field are celebrated annually by the A.M. Turing Award. In this paper, we attempt to she…