activity
20192024
most citedGEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps

13 citations · 46 across the 9 of their papers we have counts for

collaborators

9 papers

cs.IR2024

HGAMN: Heterogeneous Graph Attention Matching Network for Multilingual POI Retrieval at Baidu Maps

Jizhou Huang, Haifeng Wang, Yibo Sun +4

The increasing interest in international travel has raised the demand of retrieving point of interests in multiple languages. This is even superior to find local venues such as res…

cs.IR2023★ 11 cited

A Multi-Granularity Matching Attention Network for Query Intent Classification in E-commerce Retrieval

Chunyuan Yuan, Yiming Qiu, Mingming Li +3

Query intent classification, which aims at assisting customers to find desired products, has become an essential component of the e-commerce search. Existing query intent classific…

cs.CL2021★ 13 cited

GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps

Yibo Sun, Jizhou Huang, Chunyuan Yuan +4

Providing timely accessibility reminders of a point-of-interest (POI) plays a vital role in improving user satisfaction of finding places and making visiting decisions. However, it…

cs.CL2021★ 1 cited

SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media

Chunyuan Yuan, Wanhui Qian, Qianwen Ma +2

The rapid development of social media changes the lifestyle of people and simultaneously provides an ideal place for publishing and disseminating rumors, which severely exacerbates…

cs.CL2020★ 4 cited

Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning

Chunyuan Yuan, Qianwen Ma, Wei Zhou +2

The dissemination of fake news significantly affects personal reputation and public trust. Recently, fake news detection has attracted tremendous attention, and previous studies ma…

cs.SI2020★ 6 cited

DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction

Chunyuan Yuan, Jiacheng Li, Wei Zhou +3

Information diffusion prediction is a fundamental task for understanding the information propagation process. It has wide applications in such as misinformation spreading predictio…

cs.CL2019★ 2 cited

Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification

Qianwen Ma, Chunyuan Yuan, Wei Zhou +2

Automatically labeling multiple styles for every song is a comprehensive application in all kinds of music websites. Recently, some researches explore review-driven multi-label mus…

cs.CL2019★ 8 cited

Jointly embedding the local and global relations of heterogeneous graph for rumor detection

Chunyuan Yuan, Qianwen Ma, Wei Zhou +2

The development of social media has revolutionized the way people communicate, share information and make decisions, but it also provides an ideal platform for publishing and sprea…

cs.CL2019★ 1 cited

Learning review representations from user and product level information for spam detection

Chunyuan Yuan, Wei Zhou, Qianwen Ma +3

Opinion spam has become a widespread problem in social media, where hired spammers write deceptive reviews to promote or demote products to mislead the consumers for profit or fame…