HALAS: On-Demand and AoI-Guided Explainability for Real-Time XR Analytics.

Li B, Zhang C, Wang C, Lu P, Qiao X, Huang Y

DOI: 10.1109/tvcg.2026.3747276
Published: 2026 Oct 26
Container: IEEE transactions on visualization and computer graphics
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tvcg.2026.3747276,
  title = {HALAS: On-Demand and AoI-Guided Explainability for Real-Time XR Analytics.},
  author = {Li B and Zhang C and Wang C and Lu P and Qiao X and Huang Y},
  year = {2026},
  journal = {IEEE transactions on visualization and computer graphics},
  doi = {10.1109/tvcg.2026.3747276},
  url = {https://doi.org/10.1109/tvcg.2026.3747276}
}

RIS

TY  - JOUR
TI  - HALAS: On-Demand and AoI-Guided Explainability for Real-Time XR Analytics.
AU  - Li B
AU  - Zhang C
AU  - Wang C
AU  - Lu P
AU  - Qiao X
AU  - Huang Y
PY  - 2026
JO  - IEEE transactions on visualization and computer graphics
DO  - 10.1109/tvcg.2026.3747276
UR  - https://doi.org/10.1109/tvcg.2026.3747276
ER  -

APA

B, L., C, Z., C, W., P, L., X, Q., & Y, H. (2026). HALAS: On-Demand and AoI-Guided Explainability for Real-Time XR Analytics.. IEEE transactions on visualization and computer graphics. https://doi.org/10.1109/tvcg.2026.3747276

Source records

pubmed · retrieved 2026-11-10T13:28:48.371Z