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Yongqin Zhang

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Open access Jul 2026

Debiased visual question answering via spatial-frequency invariant semantic learning

A novel spatial-frequency invariant semantic learning model designed to overcome limitations in visual question answering models by incorporating frequency-domain features as an additional modality and employing invariant feature learning techniques, effectively reduces bias without relying on external datasets.

Qiwen Lu, Yong-Xin Zhang, Yong-Qing Zhang et al. · 0 citations
Preprint Jul 2026

HCRMap: Pressure-Aware Hot-Expert Residency Mapping for 3.5D MoE Chiplet Inference

HCRMap is proposed, a hot expert residency mapping framework for pressure-aware expert replica management in 3.5D MoE inference that dynamically determines which experts should be promoted, retained, demoted, or evicted and maps routed token groups to suitable resident replicas, thereby jointly mitigating communication...

Yongqin Zhang · 0 citations

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