← Search

SiHao He

2 accepted papers

2026

Structures Meet Semantics: Multimodal Fusion via Graph Contrastive Learning

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

Cited by 0SourcePDFScholar
2025

Federated Graph Condensation with Information Bottleneck Principles

AAAI 2025technical

Graph condensation (GC), which reduces the size of a large-scale graph by synthesizing a small-scale condensed graph as its substitution, has benefited various graph learning tasks. However, existing GC methods rely on centralized data storage, which is unfeasible for real-world decentralized data d…

Cited by 3SourcePDFScholar