Yirong Zhou

Orcid: 0000-0002-6710-7668

According to our database1, Yirong Zhou authored at least 21 papers between 2016 and 2024.

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Bibliography

2024
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal.
IEEE Trans. Biomed. Eng., June, 2024

A data-driven framework for agent-based modeling of vehicular travel using publicly available data.
Comput. Environ. Urban Syst., 2024

Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI.
CoRR, 2024

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI.
CoRR, 2024

2023
A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction - Application in Fast Biological Spectroscopy.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Optimal location planning of electric bus charging stations with integrated photovoltaic and energy storage system.
Comput. Aided Civ. Infrastructure Eng., July, 2023

XCloud-VIP: Virtual Peak Enables Highly Accelerated NMR Spectroscopy and Faithful Quantitative Measures.
IEEE Trans. Computational Imaging, 2023

Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few in Vivo Data.
IEEE Trans. Computational Imaging, 2023

Hypercomplex Low Rank Reconstruction for NMR Spectroscopy.
Signal Process., 2023

Cloud-Magnetic Resonance Imaging System: In the Era of 6G and Artificial Intelligence.
CoRR, 2023

Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Overall Macromolecular Signal.
CoRR, 2023

2021
Bi-Objective Optimization for Battery Electric Bus Deployment Considering Cost and Environmental Equity.
IEEE Trans. Intell. Transp. Syst., 2021

A spatiotemporal hierarchical attention mechanism-based model for multi-step station-level crowd flow prediction.
Inf. Sci., 2021

Low-rank and sparse reconstruction for fast diffusion nuclear magnetic resonance spectroscopy.
IET Signal Process., 2021

XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
A spatiotemporal attention mechanism-based model for multi-step citywide passenger demand prediction.
Inf. Sci., 2020

2019
Large-Scale Station-Level Crowd Flow Forecast with ST-Unet.
ISPRS Int. J. Geo Inf., 2019

ST-Attn: Spatial-Temporal Attention Mechanism for Multi-step Citywide Crowd Flow Prediction.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

A Method for Analyzing Pick-Up/Drop-Off Distribution of Taxi Passengers' in Urban Areas Based on Dynamical Network View.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

2018
Refined Taxi Demand Prediction with ST-Vec.
Proceedings of the 26th International Conference on Geoinformatics, 2018

2016
A satellite cluster data transmission scheduling method based on genetic algorithm with rote learning operator.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016


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