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

Credit assignment for trained neural networks based on Koopman operator theory.

Z. Liang, C. Zhao, W. Liu, B. Xue, W. Yang, and Z. Pang. Frontiers Comput. Sci., 18 (1): 181324 (February 2024)

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.

Vincent Pang

Cuiping Pang

Jian Pang

Xiaoying Pang

Shixuan Pang

Other publications of authors with the same name

A Reconfigurable Architecture for Rotation Invariant Multi-View Face Detection Based on a Novel Two-Stage Boosting Method.J. Xu, Y. Dou, and Z. Pang. EURASIP J. Adv. Signal Process., (2009)Towards robust neural networks via a global and monotonically decreasing robustness training strategy.Z. Liang, T. Wu, W. Liu, B. Xue, W. Yang, J. Wang, and Z. Pang. Frontiers Inf. Technol. Electron. Eng., 24 (10): 1375-1389 (October 2023)Reconstructing gene regulatory networks of biological function using differential equations of multilayer perceptrons.G. Mao, R. Zeng, J. Peng, K. Zuo, Z. Pang, and J. Liu. BMC Bioinform., 23 (1): 503 (2022)NEPG: Partitioning Large-Scale Power-Law Graphs.J. Si, X. Gan, H. Bai, D. Dong, and Z. Pang. ICA3PP (3), volume 13157 of Lecture Notes in Computer Science, page 668-690. Springer, (2021)A neuro-genetic approach for inferring gene regulatory networks from gene expression data.G. Mao, Z. Pang, J. Liu, and K. Zuo. ICBRA, page 1-5. ACM, (2022)An Area-Efficient DAMQ Buffer with Congestion Control Support.H. Zhang, K. Wang, Z. Pang, L. Xiao, Q. Dou, and Y. Yuan. J. Circuits Syst. Comput., 25 (10): 1650125:1-1650125:25 (2016)Fine-Grained Location-Free Planarization in Wireless Sensor Networks.D. Dong, X. Liao, Y. Liu, X. Li, and Z. Pang. IEEE Trans. Mob. Comput., 12 (5): 971-983 (2013)Gene Regulatory Network Inference Using Convolutional Neural Networks from scRNA-seq Data.G. Mao, Z. Pang, K. Zuo, and J. Liu. J. Comput. Biol., 30 (5): 619-631 (May 2023)A Review of the Application of Multi-modal Deep Learning in Medicine: Bibliometrics and Future Directions.X. Pei, K. Zuo, Y. Li, and Z. Pang. Int. J. Comput. Intell. Syst., 16 (1): 44 (December 2023)GGN: a model-free, data-driven deep learning framework for reconstructing gene regulatory networks.G. Mao, K. Zuo, Z. Pang, and J. Liu. ICBBB, page 94-102. ACM, (2023)

BibSonomy

Disambiguation of "Pang, Zhengbin"

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

Credit assignment for trained neural networks based on Koopman operator theory.

Please choose a person to relate this publication to

Vincent Pang

Cuiping Pang

Jian Pang

Xiaoying Pang

Shixuan Pang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pang, Zhengbin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Credit assignment for trained neural networks based on Koopman operator theory.

Please choose a person to relate this publication to

Vincent Pang

Cuiping Pang

Jian Pang

Xiaoying Pang

Shixuan Pang

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

Credit assignment for trained neural networks based on Koopman operator theory.