activity
20172026
most citedGraph Neural Networks with Continual Learning for Fake News Detection from Social Media

78 citations · 91 across the 9 of their papers we have counts for

collaborators

9 papers

cs.AI2026

Adaptive Causal Coordination Detection for Social Media: A Memory-Guided Framework with Semi-Supervised Learning

Weng Ding, Yi Han, Mu-Jiang-Shan Wang

Detecting coordinated inauthentic behavior on social media remains a critical and persistent challenge, as most existing approaches rely on superficial correlation analysis, employ…

cs.LG2025

Lightweight Defense Against Adversarial Attacks in Time Series Classification

Yi Han

As time series classification (TSC) gains prominence, ensuring robust TSC models against adversarial attacks is crucial. While adversarial defense is well-studied in Computer Visio…

cs.SI2021★ 3 cited

Knowledge Enhanced Multi-modal Fake News Detection

Yi Han, Amila Silva, Ling Luo +2

Recent years have witnessed the significant damage caused by various types of fake news. Although considerable effort has been applied to address this issue and much progress has b…

cs.SI2020★ 78 cited

Graph Neural Networks with Continual Learning for Fake News Detection from Social Media

Yi Han, Shanika Karunasekera, Christopher Leckie

Although significant effort has been applied to fact-checking, the prevalence of fake news over social media, which has profound impact on justice, public trust and our society, re…

cs.SI2020

Image Analysis Enhanced Event Detection from Geo-tagged Tweet Streams

Yi Han, Shanika Karunasekera, Christopher Leckie

Events detected from social media streams often include early signs of accidents, crimes or disasters. Therefore, they can be used by related parties for timely and efficient respo…

cs.SI2019★ 1 cited

Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification

Yi Han, Shanika Karunasekera, Christopher Leckie +1

Compared with traditional news media, social media nowadays provides a richer and more timely source of news. We are interested in multi-spatial level event detection from geo-tagg…