Qinxu Gao — accepted AI-conference papers

2025

Global Static Pruning via Adaptive Sample Complexity Awareness

Ming Ma, Yue Wang, Taoli Du, Qinxu Gao, Ying Wang, Wenhui Li

ICASSP 2025accepted

Dynamic pruning leverage the feature information of each input sample to dynamically adjust the network structure, generating multiple subnetworks suitable for different sample complexity. However, it inevitably introduces higher computational complexity and increased memory consumption. In addition…

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2025

MncCap: Mining Neural Composition for Zero-shot Image Captioning via Text-only Training

Tongtong Liu, Chen Yang, Guoqiang Chen, Qinxu Gao, Enhua Song, Wenhui Li

ICASSP 2025accepted

Current text-only image captioning methods leverage the shared feature space of CLIP to train zero-shot image captioning using text data only, leaving feature associations and contextual understanding not fully explored. Neurological studies have revealed that the anterior temporal lobes of the brai…

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