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Authors
Li, Tieying
Yang, Xiaochun
Wang, Bin
Kong, Lingdu
Bian, Qingtian
Xu, Jiaxing
Chu, Boce
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Funding
Funding for this research was provided by:
National Key Research and Development Program of China (2024YFF0617702)
National Natural Science Foundation of China (U22A2025)
National Natural Science Foundation of China (62232007)
Innovative Research Group Project of the National Natural Science Foundation of China (U23A20309)
111 Project (B16009)
111 Project (B16009)
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Article History
Received: 22 August 2025
Revised: 20 November 2025
Accepted: 21 November 2025
First Online: 27 February 2026
Declarations
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: We would like to submit the enclosed manuscript entitled “Fine-Grained Disentanglement for Alleviating Inconsistencies in Cross-Modal Hashing Retrieval ", which we wish to be considered for publication in *Data Science and Engineering*. No Conflict of interest exists in the submission of this manuscript, and all authors approve the manuscript for publication. I would like to declare on behalf of my co-authors that the work described was original research that has not been published previously and is not under consideration for publication elsewhere, in whole or in part. All the authors listed have approved the manuscript that is enclosed.
