Yirong Zhou

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal.

Dicheng Chen, Meijin Lin, Huiting Liu, Jiayu Li, Yirong Zhou, Taishan Kang, Liangjie Lin, Zhigang Wu, Jiazheng Wang, Jing Li, Jianzhong Lin, Xi Chen, Di Guo, Xiaobo Qu

IEEE Trans. Biomed. Eng., June, 2024

A data-driven framework for agent-based modeling of vehicular travel using publicly available data.

Yirong Zhou, Xiaoyue Cathy Liu, Bingkun Chen, Tony H. Grubesic, Ran Wei, Danielle Wallace

Comput. Environ. Urban Syst., 2024

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

Yirong Zhou, Chengyan Wang, Mengtian Lu, Kunyuan Guo, Zi Wang, Dan Ruan, Rui Guo, Peijun Zhao, Jianhua Wang, Naiming Wu, Jianzhong Lin, Yinyin Chen, Hang Jin, Lianxin Xie, Lilan Wu, Liuhong Zhu, Jianjun Zhou, Congbo Cai, He Wang, Xiaobo Qu

CoRR, 2024

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI.

Zi Wang, Min Xiao, Yirong Zhou, Chengyan Wang, Naiming Wu, Yi Li, Yiwen Gong, Shufu Chang, Yinyin Chen, Liuhong Zhu, Jianjun Zhou, Congbo Cai, He Wang, Di Guo, Guang Yang, Xiaobo Qu

CoRR, 2024

2023

A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction - Application in Fast Biological Spectroscopy.

Zi Wang, Di Guo, Zhangren Tu, Yihui Huang, Yirong Zhou, Jian Wang, Liubin Feng, Donghai Lin, Yongfu You, Tatiana Agback, Vladislav Orekhov, Xiaobo Qu

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Optimal location planning of electric bus charging stations with integrated photovoltaic and energy storage system.

Xiaohan Liu, Xiaoyue Liu, Xingying Zhang, Yirong Zhou, Jianli Chen, Xiaolei Ma

Comput. Aided Civ. Infrastructure Eng., July, 2023

XCloud-VIP: Virtual Peak Enables Highly Accelerated NMR Spectroscopy and Faithful Quantitative Measures.

Di Guo, Zhangren Tu, Yi Guo, Yirong Zhou, Jian Wang, Zi Wang, Tianyu Qiu, Min Xiao, Yinran Chen, Liubin Feng, Yuqing Huang, Donghai Lin, Qing Hong, Amir Goldbourt, Meijin Lin, Xiaobo Qu

IEEE Trans. Computational Imaging, 2023

Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few in Vivo Data.

Dicheng Chen, Wanqi Hu, Huiting Liu, Yirong Zhou, Tianyu Qiu, Yihui Huang, Zi Wang, Meijin Lin, Liangjie Lin, Zhigang Wu, Jiazheng Wang, Hao Chen, Xi Chen, Gen Yan, Di Guo, Jianzhong Lin, Xiaobo Qu

IEEE Trans. Computational Imaging, 2023

Hypercomplex Low Rank Reconstruction for NMR Spectroscopy.

Yi Guo, Jiaying Zhan, Zhangren Tu, Yirong Zhou, Jianfan Wu, Qing Hong, Yuqing Huang, Vladislav Orekhov, Xiaobo Qu, Di Guo

Signal Process., 2023

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

Yirong Zhou, Yanhuang Wu, Yuhan Su, Jing Li, Jianyun Cai, Yongfu You, Di Guo, Xiaobo Qu

CoRR, 2023

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

Dicheng Chen, Meijin Lin, Huiting Liu, Jiayu Li, Yirong Zhou, Taishan Kang, Liangjie Lin, Zhigang Wu, Jiazheng Wang, Jing Li, Jianzhong Lin, Xi Chen, Di Guo, Xiaobo Qu

CoRR, 2023

2021

Bi-Objective Optimization for Battery Electric Bus Deployment Considering Cost and Environmental Equity.

Yirong Zhou, Xiaoyue Cathy Liu, Ran Wei, Aaron Golub

IEEE Trans. Intell. Transp. Syst., 2021

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

Yirong Zhou, Jun Li, Hao Chen, Ye Wu, Jiangjiang Wu, Luo Chen

Inf. Sci., 2021

Low-rank and sparse reconstruction for fast diffusion nuclear magnetic resonance spectroscopy.

Di Guo, Jiaying Zhan, Yirong Zhou, Zhangren Tu, Zifei Zhang, Zhong Chen, Xiaobo Qu

IET Signal Process., 2021

XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI.

Yirong Zhou, Chen Qian, Yi Guo, Zi Wang, Jian Wang, Biao Qu, Di Guo, Yongfu You, Xiaobo Qu

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.

Yirong Zhou, Jun Li, Hao Chen, Ye Wu, Jiangjiang Wu, Luo Chen

Inf. Sci., 2020

2019

Large-Scale Station-Level Crowd Flow Forecast with ST-Unet.

Yirong Zhou, Hao Chen, Jun Li, Ye Wu, Jiangjiang Wu, Luo Chen

ISPRS Int. J. Geo Inf., 2019

ST-Attn: Spatial-Temporal Attention Mechanism for Multi-step Citywide Crowd Flow Prediction.

Yirong Zhou, Hao Chen, Jun Li, Ye Wu, Jiangjiang Wu, Luo Chen

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.

Yirong Zhou, Hao Chen, Ye Wu, Jiangjiang Wu, Jun Li, Luo Chen

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

2018

Refined Taxi Demand Prediction with ST-Vec.

Yirong Zhou, Ye Wu, Jiangjiang Wu, Luo Chen, Jun Li

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.

Hao Chen, Yirong Zhou, Chun Du, Jun Li

Proceedings of the IEEE Congress on Evolutionary Computation, 2016