Today, most autonomous vehicles (AVs) rely on LiDAR (Light Detection and Ranging)
perception to acquire accurate information about their immediate surroundings. In LiDAR …

This paper describes a novel diffusion model, DyDiff-VAE, for information diffusion prediction
on social media. Given the initial content and a sequence of forwarding users, DyDiff-VAE …

This paper develops a novel unsupervised algorithm for belief representation learning in
polarized networks that (i) uncovers the latent dimensions of the underlying belief space and …

With the increasing demands on e-commerce platforms, numerous user action history is
emerging. Those enriched action records are vital to understand users' interests and intents …

The rapid spread of false information and persistent manipulation attacks on online social
networks (OSNs), often for political, ideological, or financial gain, has affected the openness …

This paper studies speculative reasoning task on real-world knowledge graphs (KG) that
contain both\textit {false negative issue}(ie, potential true facts being excluded) and\textit …

The growth of the internet and technology has had a significant effect on social interactions.
False information has become an important research topic due to the massive amount of …

This paper investigates cross-lingual temporal knowledge graph reasoning problem, which
aims to facilitate reasoning on Temporal Knowledge Graphs (TKGs) in low-resource …

The proliferation of political memes in modern information campaigns calls for efficient
solutions for image classification by ideological affiliation. While significant advances have …

The last decade has brought a surge in crowdsourcing platforms' popularity for the
subjective quality evaluation of multimedia content. The lower need for intervention during …