Jiangfeng Zhang — accepted AI-conference papers

2026

AMR-LLM: Knowledge-Enhanced Multi-Modal Automatic Modulation Recognition via Large Language Models

Shen Hu, Yuhua Qian, Xinyan Liang, Zikun Jin, Jiaqian Zhang, Jiangfeng Zhang

IJCAI 2026

Existing multi-modal automatic modulation recognition (AMR) methods primarily focus on exploiting multi-view representations of raw signal data to improve performance, but still struggle to effectively model and exploit high-level human prior knowledge. Although recent studies attempt to introduce l

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2025

Frequency-Aware Deep Depth from Focus

Tao Yan, Yingying Wang, Jiangfeng Zhang, Yuhua Qian, Jieru Jia, Lu Chen +1

IJCAI 2025

In large aperture imaging, the shallow depth of field (DoF) phenomenon requires capturing multiple images at different focal levels, allowing us to infer depth information using depth from focus (DFF) techniques. However, most previous works design convolutional neural networks from a time domain pe

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