Yibing Fu — accepted AI-conference papers

2026

Tackling Dual-stage Missing Modalities in Brain Tumor Segmentation via Robust Modality Reconstruction and Prompt-guided Modality Adaptation

Yunpeng Zhao, Cheng Chen, Qing You Pang, Yibing Fu, Quanzheng Li, Carol Tang +2

AAAI 2026technical

Addressing missing modalities is a critical challenge in multimodal brain tumor segmentation. Most existing approaches merely handle modality-incomplete inputs during inference, assuming a full set of modalities for all training samples. However, this unrealistic assumption limits the usage of abund

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2026

Unleashing the Power of Image-Tabular Self-Supervised Learning via Breaking Cross-Tabular Barriers

Yibing Fu, Yunpeng Zhao, Zhitao Zeng, Cheng Chen, Yueming Jin

AAAI 2026technical

Multi-modal learning integrating medical images and tabular data has significantly advanced clinical decision-making in recent years. Self-Supervised Learning (SSL) has emerged as a powerful paradigm for pretraining these models on large-scale unlabeled image-tabular data, aiming to learn discrimina

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2022

Low-Complexity Multi-Model CNN in-Loop Filter for AVS3

Shen Wang, Yibing Fu, Chen Zhu, Li Song, Wenjun Zhang

ICASSP 2022accepted

Convolutional neural network (CNN) has demonstrated powerful capabilities in many image/video processing tasks. In this paper, a low-complexity multi-model CNN in-loop filtering scheme is proposed for AVS3. Firstly, we carefully choose simplified ResNet as the lightweight single model of our propose…

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