Pengtao Zhang
Orcid: 0009-0008-0431-1988
According to our database1,
Pengtao Zhang
authored at least 17 papers
between 2009 and 2023.
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Bibliography
2023
FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Creep parameter inversion for high CFRDs based on improved BP neural network response surface method.
Soft Comput., 2022
MemoNet: Memorizing Representations of All Cross Features Efficiently via Multi-Hash Codebook Network for CTR Prediction.
CoRR, 2022
CoRR, 2022
2021
Reliab. Eng. Syst. Saf., 2021
ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding.
CoRR, 2021
2020
Correct Normalization Matters: Understanding the Effect of Normalization On Deep Neural Network Models For Click-Through Rate Prediction.
CoRR, 2020
2015
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015
2013
A multi-resolution-concentration based feature construction approach for spam filtering.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Feature construction approach for email categorization based on term space partition.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2012
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012
2011
J. Zhejiang Univ. Sci. C, 2011
2010
A malware detection model based on a negative selection algorithm with penalty factor.
Sci. China Inf. Sci., 2010
An Immune Concentration Based Virus Detection Approach Using Particle Swarm Optimization.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010
2009
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009