Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Accurate Fault Location Using Deep Belief Network for Optical Fronthaul Networks in 5G and Beyond.

A. Yu, H. Yang, Q. Yao, Y. Li, H. Guo, T. Peng, H. Li, and J. Zhang. IEEE Access, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Yanan Guo University of Stuttgart

Other publications of authors with the same name

BLM-Rank: A Bayesian Linear Method for Learning to Rank and Its GPU Implementation.H. Guo, D. Chu, Y. Ye, X. Li, and X. Fan. IEICE Transactions, 99-D (4): 896-905 (2016)An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation.H. Guo, R. Tang, Y. Ye, F. Liu, and Y. Zhang. CoRR, (2018)DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.H. Guo, R. Tang, Y. Ye, Z. Li, and X. He. IJCAI, page 1725-1731. ijcai.org, (2017)Holistic Neural Network for CTR Prediction.H. Guo, R. Tang, Y. Ye, and X. He. WWW (Companion Volume), page 787-788. ACM, (2017)Long-Term Traffic Scheduling Based on Stacked Bidirectional Recurrent Neural Networks in Inter-Datacenter Optical Networks.A. Yu, J. Zhang, H. Yang, T. Xu, B. Yu, Q. Yao, Y. Li, T. Peng, H. Guo, and J. Li. IEEE Access, (2019)Order-aware Embedding Neural Network for CTR Prediction.W. Guo, R. Tang, H. Guo, J. Han, W. Yang, and Y. Zhang. SIGIR, page 1121-1124. ACM, (2019)PAL: a position-bias aware learning framework for CTR prediction in live recommender systems.H. Guo, J. Yu, Q. Liu, R. Tang, and Y. Zhang. RecSys, page 452-456. ACM, (2019)Field-aware probabilistic embedding neural network for CTR prediction.W. Liu, R. Tang, J. Li, J. Yu, H. Guo, X. He, and S. Zhang. RecSys, page 412-416. ACM, (2018)Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data.Y. Qu, B. Fang, W. Zhang, R. Tang, M. Niu, H. Guo, Y. Yu, and X. He. CoRR, (2018)DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction.H. Guo, R. Tang, Y. Ye, Z. Li, X. He, and Z. Dong. CoRR, (2018)

PUMA

Disambiguation of "Guo, Huifeng"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Accurate Fault Location Using Deep Belief Network for Optical Fronthaul Networks in 5G and Beyond.

Please choose a person to relate this publication to

Yanan Guo University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Guo, Huifeng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Accurate Fault Location Using Deep Belief Network for Optical Fronthaul Networks in 5G and Beyond.

Please choose a person to relate this publication to

Yanan Guo University of Stuttgart

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
MSOffice XML

Accurate Fault Location Using Deep Belief Network for Optical Fronthaul Networks in 5G and Beyond.