3 citations · 3 across the 5 of their papers we have counts for
5 papers
ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes
Wang-Tao Zhou, Zhao Kang, Ke Yan +1
Marked Temporal Point Processes (MTPPs) provide a principled framework for modeling asynchronous event sequences by conditioning on the history of past events. However, most existi…
Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph
Wang-Tao Zhou, Zhao Kang, Sicong Liu +2
Event prediction tasks often handle spatio-temporal data distributed in a large spatial area. Different regions in the area exhibit different characteristics while having latent co…
Non-Autoregressive Diffusion-based Temporal Point Processes for Continuous-Time Long-Term Event Prediction
Wang-Tao Zhou, Zhao Kang, Ling Tian
Continuous-time long-term event prediction plays an important role in many application scenarios. Most existing works rely on autoregressive frameworks to predict event sequences,…
Intensity-free Convolutional Temporal Point Process: Incorporating Local and Global Event Contexts
Wang-Tao Zhou, Zhao Kang, Ling Tian +1
Event prediction in the continuous-time domain is a crucial but rather difficult task. Temporal point process (TPP) learning models have shown great advantages in this area. Existi…
TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection
Quanjiang Guo, Zhao Kang, Ling Tian +1
Fake news detection aims to detect fake news widely spreading on social media platforms, which can negatively influence the public and the government. Many approaches have been dev…