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Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation.

C. Tang, W. Zhou, D. Wang, C. Yu, Z. He, J. Zhou, S. Huang, Y. Gao, J. Chen, W. Feng, and J. Lv. CoRR, (2023)

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Shudong Zhou

Josef Huang

Pa Huang

Zheng Huang

Yuejun Huang

Other publications of authors with the same name

Preserving Local and Global Information: An Effective Metric-based Subspace Clustering.Y. Liu, Y. Tan, H. Wu, S. Huang, Y. Ren, and J. Lv. ACM Multimedia, page 3619-3627. ACM, (2023)PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.M. Shi, Y. Zhou, K. Wang, H. Zhang, S. Huang, Q. Ye, and J. Lv. CoRR, (2023)Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering.Z. Huang, Y. Ren, X. Pu, S. Huang, Z. Xu, and L. He. AAAI, page 7936-7943. AAAI Press, (2023)An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization.Y. Tan, H. Cai, S. Huang, S. Wei, F. Yang, and J. Lv. AAAI, page 15258-15266. AAAI Press, (2024)Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity.S. Huang, Y. Liu, I. Tsang, Z. Xu, and J. Lv. IEEE Trans. Knowl. Data Eng., 35 (8): 8270-8281 (August 2023)CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection.S. Huang, I. Tsang, Z. Xu, J. Lv, and Q. Liu. ACM Multimedia, page 2308-2316. ACM, (2021)Development of a Chinese telephony conversational corpus for speech processing speech recognition applications.Y. Liu, P. Fung, S. Huang, C. Cieri, L. Zhai, and B. Chen. ISCSLP, page 197-200. IEEE, (2004)Self-Paced Label Distribution Learning for In-The-Wild Facial Expression Recognition.J. Shao, Z. Wu, Y. Luo, S. Huang, X. Pu, and Y. Ren. ACM Multimedia, page 161-169. ACM, (2022)TREC 2018 News Track Overview.I. Soboroff, S. Huang, and D. Harman. TREC, volume 500-331 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2018)Multi-view Subspace Clustering on Topological Manifold.S. Huang, H. Wu, Y. Ren, I. Tsang, Z. Xu, W. Feng, and J. Lv. NeurIPS, (2022)

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Disambiguation of "Huang, Shudong"

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Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation.

Please choose a person to relate this publication to

Shudong Zhou

Josef Huang

Pa Huang

Zheng Huang

Yuejun Huang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Huang, Shudong"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation.

Please choose a person to relate this publication to

Shudong Zhou

Josef Huang

Pa Huang

Zheng Huang

Yuejun Huang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
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Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation.