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20232026
most citedEAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration

15 citations · 27 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

Open-set Cross Modal Generalization via Multimodal Unified Representation

Hai Huang, Yan Xia, Shulei Wang +6

This paper extends Cross Modal Generalization (CMG) to open-set environments by proposing the more challenging Open-set Cross Modal Generalization (OSCMG) task. This task evaluates…

cs.CV2025

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations

Hai Huang, Yan Xia, Sashuai Zhou +3

Domain Generalization (DG) aims to enhance model robustness in unseen or distributionally shifted target domains through training exclusively on source domains. Although existing D…

cs.CV2025

Continual Cross-Modal Generalization

Yan Xia, Hai Huang, Minghui Fang +1

Cross-modal generalization aims to learn a shared discrete representation space from multimodal pairs, enabling knowledge transfer across unannotated modalities. However, achieving…

cs.CV2024

Enhancing Multimodal Unified Representations for Cross Modal Generalization

Hai Huang, Yan Xia, Shengpeng Ji +7

To enhance the interpretability of multimodal unified representations, many studies have focused on discrete unified representations. These efforts typically start with contrastive…

cs.CV2023

Multi-Modal Domain Adaptation Across Video Scenes for Temporal Video Grounding

Haifeng Huang, Yang Zhao, Zehan Wang +2

Temporal Video Grounding (TVG) aims to localize the temporal boundary of a specific segment in an untrimmed video based on a given language query. Since datasets in this domain are…