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Yan Xia

9 papers hereh-index 10443 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author7

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.IR3
  • cs.LG2
same name
  • Yan Xia — 77 papers, h 34
  • Yan Xia — 22 papers, h 7
  • Yan Xia — 21 papers, h 3
  • Yan Xia — 18 papers, h 13
  • Yan Xia — 10 papers, h 6
  • Yan Xia — 8 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedEAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration

15 citations · 29 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

DSI-Bench: A Benchmark for Dynamic Spatial Intelligence

Ziang Zhang, Zehan Wang, Guanghao Zhang +5

Reasoning about dynamic spatial relationships is essential, as both observers and objects often move simultaneously. Although vision-language models (VLMs) and visual expertise mod…

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…

cs.CV2022★ 7 cited

Video-Guided Curriculum Learning for Spoken Video Grounding

Yan Xia, Zhou Zhao, Shangwei Ye +3

In this paper, we introduce a new task, spoken video grounding (SVG), which aims to localize the desired video fragments from spoken language descriptions. Compared with using text…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.