Zepeng Zhang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2026
Algorithm-informed graph neural networks for leakage detection and localization in water distribution networks.
Reliab. Eng. Syst. Saf., 2026

2025
Secrecy Capacity Maximization for IRS-Assisted High-Speed Train Communications.
IEEE Commun. Lett., June, 2025

Graph Neural Networks With Adaptive Structures.
IEEE J. Sel. Top. Signal Process., January, 2025

Predictive value of machine learning for in-hospital mortality risk in acute myocardial infarction: A systematic review and meta-analysis.
Int. J. Medical Informatics, 2025

Enhancing stability and driving efficiency in tractor plowing operations on lateral slopes through independent braking and electronic Limited-Slip Differential: A Multi-Layer control strategy based on Multi-Channel time series prediction.
Comput. Electron. Agric., 2025

Research on traction and lateral stability control algorithm of tractor's plowing unit and field trials in hilly and mountainous areas.
Comput. Electron. Agric., 2025

Domain Adaptive Unfolded Graph Neural Networks.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Accelerating Quadratic Transform and WMMSE.
IEEE J. Sel. Areas Commun., November, 2024

ODR3DNet: Omni-Dimension Dynamic Residual 3D Net for Pulmonary Nodule Detection.
Proceedings of the Trustworthy Artificial Intelligence for Healthcare, 2024

A Joint Graph Signal and Laplacian Denoising Network.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2024

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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