wangzi

 

Homepage of Zi Wang(English, 中文)

Ph.D. student
 
Department of Electronic Science,School of Electronic Science and Engineering (National Model Microelectronics College), Xiamen University.
 
Email: wangziblake@163.com
 
Computational Sensing Group, a part of Research Center of Magnetic Resonance and Medical Imaging at Xiamen University.
 
 
 



Biosketch Research interests Education Research and Teaching Experiences Selected Awards Professional Skills Recent Publications

Biosketch

Zi Wang is a Ph.D. candidate of Department of Electronic Science, National Institute for Data Science in Health and Medicine, at Xiamen University in China.

Research Interests
d Magnetic resonance spectroscopy and imaging d Machine learning and deep learning
Education
d Ph.D. Student (Sept. 2020-Current) 
successive postgraduate and doctoral program
Advisor: Xiaobo Qu
Department of Electronic Science, National Institute for Data Science in Health and Medicine, Xiamen University, China
d M.S. Student (Sept. 2019-July 2020) 
Postgraduate recommendation without examination
Advisor: Xiaobo Qu
Department of Electronic Science, Xiamen University, China
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B.S. (Sept. 2015-July 2019)
Department of Electronic and Information Engineering, Zhejiang Gongshang University, China

Research and Teaching Experiences
Selected Wards
2022, Liu Yubin Youth Science and Technology Scholarship Scholarship of Xiamen University
2021, Xiamen University “The Merit Student”
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2021, Industrial & Commercial Bank of China Scholarship of Xiamen University

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2018, Honorable Mention of the Mathematical Contest in Modeling (MCM)

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2017, First Prize of the China Undergraduate Mathematical Contest in Modeling (Zhejiang Zone)

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2017, First-class Scholarship of Zhejiang Gongshang University; “The Excellent Student Cadre”

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2017, Zhejiang Provincial Government Scholarship; First-class Scholarship of Zhejiang Gongshang University for Oversea Study

Professional Skills
Deep learning framework: TensorFlow, PyTorch
Mastered programming languages: C, Matlab, Python
Recent Publications
(1) Journal Papers (# denotes co-first authorship)
d Zi Wang, Zhangren Tu, Yihui Huang, Yirong Zhou, Jian Wang, Liubin Feng, Donghai Lin, Yongfu You, Tatiana Agback, Vladislav Orekhov, Xiaobo Qu*, A sparse model-inspired deep thresholding network for exponential signal reconstruction—Application in fast biological spectroscopy, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2022.3144580, 2022. (SCI, JCR 1, TOP, IF 14.25)
d Zi Wang, Chen Qian, Di Guo, Hongwei Sun, Rushuai Li, Bo Zhao, Xiaobo Qu*, One-dimensional deep low-rank and sparse network for accelerated MRI, IEEE Transactions on Medical Imaging, DOI: 10.1109/TMI.2022.3203312, 2022. (SCI, JCR 1, TOP, IF 11.03)
d Dicheng Chen#, Zi Wang#, Di Guo, Vladislav Orekhov, Xiaobo Qu*, Review and prospect: Deep learning in nuclear magnetic resonance spectroscopy, Chemistry -A European Journal, 26: 10391-10401, 2020. (SCI, JCR 2, TOP, IF 5.02) [Frontipiece]
d Qinqin Yang, Zi Wang, Kunyuan Guo, Congbo Cai, Xiaobo Qu*, Physics-driven synthetic data learning for biomedical magnetic resonance: The imaging physics-based data synthesis paradigm for artificial intelligence, IEEE Signal Processing Magazine, DOI: 10.1109/MSP.2022.3183809, 2022. (SCI, JCR 1, TOP, IF 15.20)
d Yihui Huang, Jinkui Zhao, Zi Wang, Di Guo, Vladislav Orekhov, Xiaobo Qu*, Exponential signal reconstruction with deep Hankel matrix factorization, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2021.3134717, 2022. (SCI, JCR 1, TOP, IF 14.25)
d Tianyu Qiu, Zi Wang, Huiting Liu, Di Guo, Xiaobo Qu*, Review and prospect: NMR spectroscopy denoising and reconstruction with low rank Hankel matrices and tensors, Magentic Resonance in Chemistry, 59: 324-345, 2020. (SCI, JCR 4, IF 2.39)
d Zhangren Tu, Zi Wang, Jiaying Zhan, Yihui Huang, Xiaofeng Du, Xiaobo Qu, Di Guo*, A partial sum of singular-value-based reconstruction method for non-uniformly sampled NMR spectroscopy, IET Signal Processing, 15: 14-27, 2021. (SCI, JCR 4, IF 1.81)
d Dongbao Liu, Yonggui Yang, Dicheng Chen, Zi Wang, Di Guo, Lijun Bao, Jiyang Dong, Xin Wang, Xiaobo Qu*, Brain metabolic differences between temporal lobe epileptic seizures and organic non-epileptic seizures in postictal phase: A retrospective study with magnetic resonance spectroscopy, Quantitative Imaging in Medicine and Surgery, 11: 3781-3791, 2021. (SCI, JCR 2, IF 4.63)
d Gushan Zeng, Yi Guo, Jiaying Zhan, Zi Wang, Xiaobo Qu, Di Guo*, A review on deep learning MRI reconstruction without fully sampled k-space, BMC Medical Imaging, 21: 195, 2021. (SCI, JCR 4, IF 2.79)
(2) Conference Papers/Abstracts
d Zi Wang, Yihui Huang, Zhangren Tu, Di Guo, Vladislav Orekhov, Xiaobo Qu*, Memory-friendly and robust deep learning architecture for accelerated MRI, International Society for Magnetic Resonance in Medicine Scientific Meeting (ISMRM' 2022), 2022, p. 4301.
d Zi Wang, Chen Qian, Di Guo, Hongwei Sun, Rushuai Li, Xiaobo Qu*, Accelerated magnetic resonance spectroscopy with model-inspired deep learning, International Society for Magnetic Resonance in Medicine Scientific Meeting (ISMRM' 2021), 2021, p. 1969.
d Xinlin Zhang, Zi Wang, Xi Peng, Qin Xu, Di Guo, Xiaobo Qu*, Accelerated image reconstruction with separable Hankel regularization in parallel MRI, the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’21), 2021, pp. 3403-3406. (EI)
d Yirong Zhou, Chen Qian, Yi Guo, Zi Wang, Jian Wang, Biao Qu, Di Guo, Yongfu You, Xiaobo Qu*, XCloud-pFISTA: A medical intelligence cloud for accelerated MRI, the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’21), 2021, pp. 3289-3292. (EI)
d Chen Qian, Zi Wang, Xinlin Zhang, Boxuan Shi, Di Guo, Boyu Jiang, Ran Tao, Xiaobo Qu*, Low-rank shot-phase estimation for multi-shot DWI reconstruction, International Society for Magnetic Resonance in Medicine Scientific Meeting (ISMRM' 2022), 2022, p. 4687.
d Yirong Zhou, Chen Qian, Yi Guo, Zi Wang, Jian Wang, Biao Qu, Di Guo, Yongfu You, Xiaobo Qu*, XCloud-pFISTA: A medical intelligence cloud for accelerated MRI reconstruction, International Society for Magnetic Resonance in Medicine Scientific Meeting (ISMRM' 2022), 2022, p. 4302.
d Yihui Huang, Jinkui Zhao, Zi Wang, Di Guo, Xiaobo Qu*, Accelerate magnetic resonance spectroscopy with deep low rank Hankel matrix, International Society for Magnetic Resonance in Medicine Scientific Meeting (ISMRM' 2021), 2021, p. 1996.
d Xinlin Zhang, Hengfa Lu, Zi Wang, Xi Peng, Feng Huang, Qin Xu, Di Guo, Xiaobo Qu*, Fast T2 mapping with improved accuracy using memory-efficient low-rank Hankel matrix reconstruction, International Society for Magnetic Resonance in Medicine Scientific Meeting (ISMRM' 2021), 2021, p. 3079.
(3) Preprints
d Chen Qian, Zi Wang, Xinlin Zhang, Boxuan Shi, Boyu Jiang, Ran Tao, Di Guo, Xiaobo Qu*, A paired phase and magnitude reconstruction for advanced diffusion-weighted imaging, arXiv preprint, arXiv:2203.14559, 2022.
d Di Guo, Zhangren Tu, Yi Guo, Yirong Zhou, Jian Wang, Zi Wang, Tianyu Qiu, Min Xiao, Liubin Feng, Yuqing Huang, Donghai Lin, Yongfu You, Amir Goldbourt, Xiaobo Qu*, XCloud-VIP: The virtual peak enables highly accelerated NMR spectroscopy and faithful quantitative measures, arXiv preprint, arXiv:2013.11675, 2021.
d Dicheng Chen, Wanqi Hu, Huiting Liu, Yirong Zhou, Tianyu Qiu, Yihui Huang, Zi Wang, Jiazheng Wang, Liangjie Lin, Zhigang Wu, Hao Chen, Xi Chen, Gen Yan, Di Guo, Jianzhong Lin, Xiaobo Qu*, Magnetic resonance spectroscopy deep learning denoising using few in vivo data, arXiv preprint, arXiv:2101.11442, 2022.
(4) Patents
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Zi Wang, Xiaofeng Yu, Yumei Zhao, Wenhui Wu, Hongming Pan, An omnidirectional mobile robot parking system based on Android, China State Intellectual Property Office, 201820485144.4, Application date: April 8, 2018, Authorization date: December 7, 2018.

Xiaobo Qu, Zi Wang, A fast magnetic resonance intelligent imaging method, China State Intellectual Property Office, 202111203947.9, Application date: October 15, 2021.