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Yongli Ren

2 accepted papers

2025

Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes

NeurIPS 2025poster

Marked Temporal Point Process (MTPP) has been well studied to model the event distribution in marked event streams, which can be used to predict the mark and arrival time of the next event. However, existing studies overlook that the distribution of event marks is highly imbalanced in many real-worl…

Cited by 0SourcecodeScholar
2021

MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction

NeurIPS 2021poster

Human mobility prediction is a core functionality in many location-based services and applications. However, due to the sparsity of mobility data, it is not an easy task to predict future POIs (place-of-interests) that are going to be visited. In this paper, we propose MobTCast, a Transformer-based…

Cited by 72SourcePDFScholar