InfMasking: A Unified Variational Framework for Synergistic Multimodal Learning
- DOI
- 10.1109/tpami.2026.3751348
- Published
- 2026
- Container
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3751348,
title = {InfMasking: A Unified Variational Framework for Synergistic Multimodal Learning},
author = {Liangjian Wen and Qun Dai and Jiang Duan and Yong Dai and Jianzhuang Liu and Dongkai Wang and Jun Wang and Fuyuan Cao and Zenglin Xu and Zhao Kang},
year = {2026},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
doi = {10.1109/tpami.2026.3751348},
url = {https://doi.org/10.1109/tpami.2026.3751348}
}RIS
TY - JOUR TI - InfMasking: A Unified Variational Framework for Synergistic Multimodal Learning AU - Liangjian Wen AU - Qun Dai AU - Jiang Duan AU - Yong Dai AU - Jianzhuang Liu AU - Dongkai Wang AU - Jun Wang AU - Fuyuan Cao AU - Zenglin Xu AU - Zhao Kang PY - 2026 JO - IEEE Transactions on Pattern Analysis and Machine Intelligence DO - 10.1109/tpami.2026.3751348 UR - https://doi.org/10.1109/tpami.2026.3751348 ER -
APA
Wen, L., Dai, Q., Duan, J., Dai, Y., Liu, J., Wang, D., Wang, J., Cao, F., Xu, Z., & Kang, Z. (2026). InfMasking: A Unified Variational Framework for Synergistic Multimodal Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2026.3751348
Source records
- crossref · retrieved 2026-11-07T21:08:04.875Z