Jiangfeng Sun — accepted AI-conference papers

2026

Structures Meet Semantics: Multimodal Fusion via Graph Contrastive Learning

Jiangfeng Sun, SiHao He, Zhonghong Ou, Meina Song

AAAI 2026technical

Multimodal sentiment analysis (MSA) aims to infer emotional states by effectively integrating textual, acoustic, and visual modalities. Despite notable progress, existing multimodal fusion methods often neglect modality-specific structural dependencies and semantic misalignment, limiting their quali

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2025

Towards Recognizing Spatial-temporal Collaboration of EEG Phase Brain Networks for Emotion Understanding

Jiangfeng Sun, Kaiwen Xue, Qika Lin, Yufei Qiao, Yifan Zhu, Zhonghong Ou +1

IJCAI 2025

Emotion recognition from EEG signals is crucial for understanding complex brain dynamics. Existing methods typically rely on static frequency bands and graph convolutional networks (GCNs) to model brain connectivity. However, EEG signals are inherently non-stationary and exhibit substantial individu

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