← Search

Yujie Long

2 accepted papers

2026

ST-TPP: Learning Semi-Transductive Temporal Point Processes with Gromov-Wasserstein Barycentric Regularization

AAAI 2026technical

The generative mechanisms behind real-world event sequences are often heterogeneous, leading to data that possesses inherent clustering structures. However, most existing temporal point processes (TPPs) treat different event sequences independently, without leveraging the clustering structures when

Cited by 0SourcePDFScholar
2025

A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes

AAAI 2025technical

An event sequence generated by a temporal point process is often associated with a hidden and structured event branching process that captures the triggering relations between its historical and current events. In this study, we design a new plug-and-play module based on the Bregman ADMM (BADMM) al…