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20172021
most citedAdaptive Mixture Regression Network with Local Counting Map for Crowd Counting

11 citations · 32 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.IR20211 cited

Demographic Biases of Crowd Workers in Key Opinion Leaders Finding

Hossein A. Rahmani, Jie Yang

Key Opinion Leaders (KOLs) are people that have a strong influence and their opinions are listened to by people when making important decisions. Crowdsourcing provides an efficient…

cs.IR2021

A Survey on Extraction of Causal Relations from Natural Language Text

Jie Yang, Soyeon Caren Han, Josiah Poon

As an essential component of human cognition, cause-effect relations appear frequently in text, and curating cause-effect relations from text helps in building causal networks for…

cs.IR2019

A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection

Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux

Microblogging platforms such as Twitter are increasingly being used in event detection. Existing approaches mainly use machine learning models and rely on event-related keywords to…

cs.IR2019

Research Commentary on Recommendations with Side Information: A Survey and Research Directions

Zhu Sun, Qing Guo, Jie Yang +4

Recommender systems have become an essential tool to help resolve the information overload problem in recent decades. Traditional recommender systems, however, suffer from data spa…

cs.IR201711 cited

Interacting Attention-gated Recurrent Networks for Recommendation

Wenjie Pei, Jie Yang, Zhu Sun +3

Capturing the temporal dynamics of user preferences over items is important for recommendation. Existing methods mainly assume that all time steps in user-item interaction history…