Zepeng Zhang

Orcid: 0000-0001-6654-2820

According to our database1, Zepeng Zhang authored at least 15 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Energy-harvesting Q-learning secure routing algorithm with authenticated-encryption for WSN.
ICT Express, December, 2023

TextCNN-based ensemble learning model for Japanese Text Multi-classification.
Comput. Electr. Eng., August, 2023

Quantum-Involution inspire false positive reduction in pulmonary nodule detection.
Biomed. Signal Process. Control., July, 2023

On Convergence Rates of Quadratic Transform and WMMSE Methods.
CoRR, 2023

Discerning and Enhancing the Weighted Sum-Rate Maximization Algorithms in Communications.
CoRR, 2023

Enhancing the Efficiency of WMMSE and FP for Beamforming by Minorization-Maximization.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Study on Improving ALBERT with Additive Attention for Text Classification.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022
ASGNN: Graph Neural Networks with Adaptive Structure.
CoRR, 2022

Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective.
CoRR, 2022

WINMLP: Quantum & Involution Inspire False Positive Reduction in Lung Nodule Detection.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Scalable Financial Index Tracking with Graph Neural Networks.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Weighted Sum-Rate Maximization for Multi-Hop RIS-Aided Multi-User Communications: A Minorization-Maximization Approach.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Vast Portfolio Selection With Submodular Norm Regularizations.
Proceedings of the 29th European Signal Processing Conference, 2021

Multi-Period Portfolio Optimization for Index Tracking in Finance.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
A Deep Learning-Aided Approach to Portfolio Design for Financial Index Tracking.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020


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