3 papers
stat.ME2026
Pattern-Calibrated Multimodal Prediction under Blockwise Missingness
Junhan Yu, Kejian Zhang, Doudou Zhou +1
Blockwise missingness in multimodal data is usually treated as an incomplete-input problem. We instead focus on prediction for a prespecified observed-modality pattern, where the o…
cs.LG2026
From Hawkes Processes to Attention: Time-Modulated Mechanisms for Event Sequences
Xinzi Tan, Kejian Zhang, Junhan Yu +1
Marked Temporal Point Processes (MTPPs) arise naturally in medical, social, commercial, and financial domains. However, existing Transformer-based methods mostly inject temporal in…
cs.LG2025
Time-Aware Attention for Enhanced Electronic Health Records Modeling
Junhan Yu, Zhunyi Feng, Junwei Lu +2
Electronic Health Records (EHR) contain valuable clinical information for predicting patient outcomes and guiding healthcare decisions. However, effectively modeling Electronic Hea…