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Data Augmentation Algorithm Based on Generative Antagonism Networks (GAN) Model for Optical Transmission Networks (OTN).

L. Chen, K. Zheng, Y. Li, X. Yang, H. Zhang, Y. Liang, J. Huang, Y. Zhang, P. Xie, and Y. Zhao. CECNet, volume 345 of Frontiers in Artificial Intelligence and Applications, page 603-611. IOS Press, (2021)

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Junhua Tang

Junhua Sun

Junhua Zhang

Junhua Mao

Junhua Qiao

Other publications of authors with the same name

HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline.Y. Li, X. Chen, W. Guo, X. Li, W. Luo, J. Huang, H. Zhen, M. Yuan, and J. Yan. KDD, page 4414-4425. ACM, (2023)IB-Net: Initial Branch Network for Variable Decision in Boolean Satisfiability.T. Chan, W. Xiao, J. Huang, H. Zhen, G. Tian, and M. Yuan. CoRR, (2024)DeepGate2: Functionality-Aware Circuit Representation Learning.Z. Shi, H. Pan, S. Khan, M. Li, Y. Liu, J. Huang, H. Zhen, M. Yuan, Z. Chu, and Q. Xu. ICCAD, page 1-9. IEEE, (2023)OSNR Prediction Based on Federal Learning in Multi-Domain Optical Networks.J. Huang, B. Zhu, H. Zhou, Q. Zheng, Z. Chen, T. Lin, Y. Zhao, Z. Dong, X. Gao, and Y. Zhao. CECNet, volume 345 of Frontiers in Artificial Intelligence and Applications, page 612-620. IOS Press, (2021)Neural Fault Analysis for SAT-based ATPG.J. Huang, H. Zhen, N. Wang, H. Mao, M. Yuan, and Y. Huang. ITC, page 36-45. IEEE, (2022)VerilogReader: LLM-Aided Hardware Test Generation.R. Ma, Y. Yang, Z. Liu, J. Zhang, M. Li, J. Huang, and G. Luo. CoRR, (2024)Accelerate SAT-based ATPG via Preprocessing and New Conflict Management Heuristics.J. Huang, H. Zhen, N. Wang, M. Yuan, H. Mao, Y. Huang, and J. Tao. ASP-DAC, page 365-370. IEEE, (2022)SATformer: Transformer-Based UNSAT Core Learning.Z. Shi, M. Li, Y. Liu, S. Khan, J. Huang, H. Zhen, M. Yuan, and Q. Xu. ICCAD, page 1-4. IEEE, (2023)Data Augmentation Algorithm Based on Generative Antagonism Networks (GAN) Model for Optical Transmission Networks (OTN).L. Chen, K. Zheng, Y. Li, X. Yang, H. Zhang, Y. Liang, J. Huang, Y. Zhang, P. Xie, and Y. Zhao. CECNet, volume 345 of Frontiers in Artificial Intelligence and Applications, page 603-611. IOS Press, (2021)Parallel Gröbner Basis Rewriting and Memory Optimization for Efficient Multiplier Verification.H. Liu, P. Liao, J. Huang, H. Zhen, M. Yuan, T. Ho, and B. Yu. DATE, page 1-6. IEEE, (2024)

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Disambiguation of "Huang, Junhua"

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Data Augmentation Algorithm Based on Generative Antagonism Networks (GAN) Model for Optical Transmission Networks (OTN).

Please choose a person to relate this publication to

Junhua Tang

Junhua Sun

Junhua Zhang

Junhua Mao

Junhua Qiao

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Huang, Junhua"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Data Augmentation Algorithm Based on Generative Antagonism Networks (GAN) Model for Optical Transmission Networks (OTN).

Please choose a person to relate this publication to

Junhua Tang

Junhua Sun

Junhua Zhang

Junhua Mao

Junhua Qiao

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
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Data Augmentation Algorithm Based on Generative Antagonism Networks (GAN) Model for Optical Transmission Networks (OTN).