Author

L. Zheng

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#artificial intelligence Review May 2026

Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Survey

This survey identifies critical research gaps, including interpretable routing, expert communication, modality integration, modality integration, and lifelong multimodal learning, and positions this survey as a foundation for future research toward interpretable and sustainable multimodal Mixture-of-Experts system.

L. Zheng, Wenhao Liang, W. Zhang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Signal-Routed Temperature Scaling: Low-Capacity Risk-Conditioned Calibration for Small Validation Budgets

When a classifier is recalibrated from only a few thousand held-out examples, the capacity of the calibration map becomes a statistical design choice rather than a purely architectural one: a scalar map can underfit structured residual miscalibration, while a highly adaptive map can be hard to estimate reliably from so...

Wenhao Liang, L. Zheng, Lin Yue et al. · 0 citations