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Hong-Sheng Zhang

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Sep 2026

Probabilistic von Mises–Fisher representation learning for few-shot remote sensing scene classification

A probabilistic reformulation of FS-RSISC that moves beyond rigid point-based prototypes by modeling each class as a probability distribution over the hyperspherical feature space and adopts the von Mises–Fisher (vMF) distribution to capture both semantic uncertainty and feature diversity.

Zhong Ji, Cici Liu, Hong-Sheng Zhang et al. · 0 citations
Sep 2026

Interleaved Prompt Generation for Continual Instruction Tuning of Multimodal Large Language Model.

Multimodal Large Language Models (MLLMs), pre-trained on vast image-text datasets, excel in zero-shot reasoning but face catastrophic forgetting when adapting to sequential tasks in Continual Instruction Tuning (CIT). While lightweight prompt-based methods offer a parameter-efficient strategy for sequential adaptation,...

Hong-Sheng Zhang, Zhong Ji, Di Wang et al. · 0 citations

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