Author

Duc-Trong Le

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Aug 2026

MagXCL: enhanced multimodal adaptation gate and cross-modal contrastive learning for multimodal sentiment analysis

MagXCL, a unified framework designed to improve multimodal integration through more effective interaction between verbal and non-verbal modalities, is proposed, demonstrating the effectiveness of combining AMag with CrossCL to produce more accurate and robust multimodal sentiment predictions.

Duc-Duy Duong, Cam-Van Thi Nguyen, Duc-Trong Le · Neural computing & applicati... · 0 citations

#machine learning Preprint Aug 2026

SCENARIODIFF: A Scenario-level Guidance Framework for Multimodal Time Series Forecasting--Extended Version

Experiments on the Time-MMD benchmark show that SCENARIODIFF is especially effective in event-driven domains, demonstrating the value of explicit hierarchical scenario guidance for multimodal time series forecasting.

Tuan-Binh Tran, Dat Nguyen Cong, Duc-Trong Le et al. · 0 citations