Shenjun Zhong — accepted AI-conference papers

2024

Enhancing Generalization in Medical Visual Question Answering Tasks Via Gradient-Guided Model Perturbation

Gang Liu, Hongyang Li, Zerui He, Shenjun Zhong

ICASSP 2024accepted

Leveraging pre-trained visual language models has become a widely adopted approach for improving performance in downstream visual question answering (VQA) applications. However, in the specialized field of medical VQA, the scarcity of available data poses a significant barrier to achieving reliable…

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2024

PECR: Parameter-Efficient Transfer Learning with Cross-Modal Representation Learning for Remote Sensing Visual Question Answering

Pengfei Li, Jinlong He, Gang Liu, Shenjun Zhong

ICASSP 2024accepted

Remote sensing (RS) visual question answering (VQA) aims to provide accurate answers to questions related to RS images. Transformer-based models have gradually become popular to solve RS VQA tasks. Due to the ever-growing model size, full-parameter training of the model becomes prohibitively costly.…

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