Challenges and fundamental theoretical problems of super-converged generative information network
- DOI
- 10.1016/j.fmre.2025.10.007
- Published
- 2026-07
- Container
- Fundamental Research
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.fmre.2025.10.007,
title = {Challenges and fundamental theoretical problems of super-converged generative information network},
author = {Jiangxing Wu and Xinsheng Ji and Kaizhi Huang and Yajun Chen and Dan Li and Wenjian Zhang and Jie Yang and Yuxiang Hu and Jianliang Shen},
year = {2026},
journal = {Fundamental Research},
doi = {10.1016/j.fmre.2025.10.007},
url = {https://doi.org/10.1016/j.fmre.2025.10.007}
}RIS
TY - JOUR TI - Challenges and fundamental theoretical problems of super-converged generative information network AU - Jiangxing Wu AU - Xinsheng Ji AU - Kaizhi Huang AU - Yajun Chen AU - Dan Li AU - Wenjian Zhang AU - Jie Yang AU - Yuxiang Hu AU - Jianliang Shen PY - 2026 JO - Fundamental Research DO - 10.1016/j.fmre.2025.10.007 UR - https://doi.org/10.1016/j.fmre.2025.10.007 ER -
APA
Wu, J., Ji, X., Huang, K., Chen, Y., Li, D., Zhang, W., Yang, J., Hu, Y., & Shen, J. (2026). Challenges and fundamental theoretical problems of super-converged generative information network. Fundamental Research. https://doi.org/10.1016/j.fmre.2025.10.007
Source records
- crossref · retrieved 2026-09-25T13:14:47.091Z