activity
20222024
most citedDetecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage

11 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024★ 11 cited

Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage

Isidora Chara Tourni, Lei Guo, Hengchang Hu +9

News media structure their reporting of events or issues using certain perspectives. When describing an incident involving gun violence, for example, some journalists may focus on…

cs.IR2023★ 4 cited

Automatic Feature Fairness in Recommendation via Adversaries

Hengchang Hu, Yiming Cao, Zhankui He +2

Fairness is a widely discussed topic in recommender systems, but its practical implementation faces challenges in defining sensitive features while maintaining recommendation accur…

cs.CL2023★ 1 cited

A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems

Chuang Li, Hengchang Hu, Yan Zhang +2

Conversational recommender systems (CRS) generate recommendations through an interactive process. However, not all CRS approaches use human conversations as their source of interac…

cs.LG2023★ 9 cited

Do We Really Need Graph Neural Networks for Traffic Forecasting?

Xu Liu, Yuxuan Liang, Chao Huang +4

Spatio-temporal graph neural networks (STGNN) have become the most popular solution to traffic forecasting. While successful, they rely on the message passing scheme of GNNs to est…

cs.IR2022★ 1 cited

Modeling and Leveraging Prerequisite Context in Recommendation

Hengchang Hu, Liangming Pan, Yiding Ran +1

Prerequisites can play a crucial role in users' decision-making yet recommendation systems have not fully utilized such contextual background knowledge. Traditional recommendation…