Papers by Chi Man Vong

2 papers
Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning (2025.findings-acl)

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Challenge: Existing foundation models for general knowledge graph reasoning have focused on their structural aspects, with most efforts restricted to in-KG tasks.
Approach: They propose a conditional encoding architecture that bridges the gap between textual and structural modalities, enabling seamless integration.
Outcome: The proposed model outperforms baseline models on 28 datasets and is generalized to out-of-KG tasks.
Anchoring the Affective Manifold: Learning Canonical and Disentangled Representations via Generative Cross-Modal Alignment (2026.acl-long)

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Challenge: Dominant multimodal emotion recognition paradigms neglect the intrinsic geometric structure of affect, resulting in representations heavily entangled with non-affective factors.
Approach: They propose a Canonical Disentangled Multimodal Generative Framework that decomposes the latent space into a canonical Shared Affective Subspace and a private Modality Subspace.
Outcome: The proposed model disentangles affect from private attributes while enabling controllable emotion generation.

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