( en | de | ru )

 

Disambiguation of "Gao, Jingkun"

Author of the publication

copydeleteadd this publication to your clipboard
Enhanced Radar Imaging Using a Complex-Valued Convolutional Neural Network.

, , , , and . IEEE Geosci. Remote. Sens. Lett., 16 (1): 35-39 (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.

Zhigang Gao

Gao Guo

Yi Gao

Hailong Gao

Yawen Gao

 

Other publications of authors with the same name

Time Series Data Augmentation for Deep Learning: A Survey, , , , , , and . (2020)cite arxiv:2002.12478Comment: Accepted by the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021); 8 pages, 2 figures, 3 tables, 61 referred papers.Enhanced Radar Imaging Using a Complex-Valued Convolutional Neural Network., , , , and . IEEE Geosci. Remote. Sens. Lett., 16 (1): 35-39 (2019)A Data-driven Meta-data Inference Framework for Building Automation Systems., , and . BuildSys@SenSys, page 23-32. ACM, (2015)A large-scale evaluation of automated metadata inference approaches on sensors from air handling units., and . Adv. Eng. Informatics, (2018)Portable Queries Using the Brick Schema for Building Applications: Demo Abstract., , , , , , , , , and 6 other author(s). BuildSys@SenSys, page 219-220. ACM, (2016)RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks., , , , , and . CoRR, (2020)RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series., , , , , and . AAAI, page 5409-5416. AAAI Press, (2019)Time Series Data Augmentation for Deep Learning: A Survey, , , , , and . (2020)cite arxiv:2002.12478Comment: 7 pages, 2 figures, 3 tables, 42 referred papers.RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series, , , , , and . (2018)cite arxiv:1812.01767Comment: Accepted to the thirty-third AAAI Conference on Artificial Intelligence (AAAI 2019), 9 pages, 5 figures.Data-Driven Operation of Building Systems: Present Challenges and Future Prospects., , and . EG-ICE, volume 10864 of Lecture Notes in Computer Science, page 23-52. Springer, (2018)