most citedBotShape: A Novel Social Bots Detection Approach via Behavioral Patterns

28 citations · 44 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SI2023★ 3 cited

FakeSwarm: Improving Fake News Detection with Swarming Characteristics

Jun Wu, Xuesong Ye

The proliferation of fake news poses a serious threat to society, as it can misinform and manipulate the public, erode trust in institutions, and undermine democratic processes. To…

cs.AI2023★ 2 cited

BotTriNet: A Unified and Efficient Embedding for Social Bots Detection via Metric Learning

Jun Wu, Xuesong Ye, Yanyuet Man

The rapid and accurate identification of bot accounts in online social networks is an ongoing challenge. In this paper, we propose BOTTRINET, a unified embedding framework that lev…

cs.AI2023★ 1 cited

FineEHR: Refine Clinical Note Representations to Improve Mortality Prediction

Jun Wu, Xuesong Ye, Chengjie Mou +1

Monitoring the health status of patients in the Intensive Care Unit (ICU) is a critical aspect of providing superior care and treatment. The availability of large-scale electronic…

cs.LG2023★ 10 cited

MedLens: Improve Mortality Prediction Via Medical Signs Selecting and Regression

Xuesong Ye, Jun Wu, Chengjie Mou +1

Monitoring the health status of patients and predicting mortality in advance is vital for providing patients with timely care and treatment. Massive medical signs in electronic hea…

cs.SI2023★ 28 cited

BotShape: A Novel Social Bots Detection Approach via Behavioral Patterns

Jun Wu, Xuesong Ye, Chengjie Mou

An essential topic in online social network security is how to accurately detect bot accounts and relieve their harmful impacts (e.g., misinformation, rumor, and spam) on genuine u…

cs.CL2023

NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis

Xu Ye, Meng Xiao, Zhiyuan Ning +4

With the development of natural language processing techniques(NLP), automatic diagnosis of eye diseases using ophthalmology electronic medical records (OEMR) has become possible.…