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王孜的个人主页 (English, 中文) |
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| 博士 | ||||
| 厦门大学 电子科学与技术学院(国家示范性微电子学院)电子科学系 | ||||
| Email: wangziblake@gmail.com | ||||
| 研究小组：计算感知@磁共振医学成像研究中心 | ||||
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个人简历 |
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王孜，厦门大学博士，博士期间于英国帝国理工学院联合培养一年。主要从事计算磁共振波谱与成像、机器学习、人工智能等研究。以第一作者 (含共同) 发表IEEE TMI/TNNLS/JBHI等医学成像/人工智能权威期刊论文4篇，合作发表IEEE SPM/TBME等信号处理/生物医工权威期刊论文13篇，ESI高被引论文1篇。授权中国发明专利4项。曾获国际华人医学磁共振学会青年研究员奖 (OCSMRM YIA)、ISMRM Summa Cum Laude Merit Award (Top 3%)、博士研究生国家奖学金等荣誉。曾在多项国际挑战赛中担任组委会成员，包括2023/2024年的心血管磁共振重建挑战赛 (CMRxRecon 2023/2024)。 |
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磁共振波谱、成像 | |
机器学习、深度学习 | ||||||
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博士研究生 (2020年9月-2024年12月) |
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联合培养博士研究生 (2024年1月-2025年1月) |
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硕士研究生 (2019年9月-2020年7月) |
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本科 (2015年9月-2019年7月) |
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| 专业技能 | |||||||||
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掌握的深度学习平台：PyTorch、TensorFlow | ||||||||
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掌握的编程语言：Python、Matlab、C | ||||||||
| 奖项荣誉 | |||||||||
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2024年，国际华人医学磁共振学会青年研究员奖（OCSMRM YIA） | ||||||||
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2024年，国际医学磁共振学会年会口头报告金奖（ISMRM Summa Cum Laude Award, Top 3%） | ||||||||
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2022年，博士研究生国家奖学金 | ||||||||
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2021、2022年，厦门大学“三好学生”称号 | ||||||||
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2021、2022、2023年，国际医学磁共振学会学生资助奖（ISMRM Educational Stipend） | ||||||||
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2022年，中国研究生电子设计竞赛商业计划书专项赛全国一等奖、最具商业价值奖（3/3） | ||||||||
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2022年，厦门大学柳玉滨青年科技奖学金 | ||||||||
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2018年，美国大学生数学建模竞赛（MCM）二等奖（1/3） | ||||||||
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2017年，全国大学生数学建模竞赛浙江赛区一等奖（1/3） | ||||||||
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2017年，浙江省政府奖学金、出国（境）留学一等奖学金 | ||||||||
| （1）期刊论文（#：共同一作） | |||||||||
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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, 42: 79-90, 2023. (JCR 1, TOP, IF 10.6) | ||||||||
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Zi Wang, Di Guo, 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, 34: 7578-7592, 2023. (JCR 1, TOP, IF 10.4) | ||||||||
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Zi Wang#, Haoming Fang#, Chen Qian, Boxuan Shi, Lijun Bao, Liuhong Zhu, Jianjun Zhou, Wenping Wei, Jianzhong Lin, Di Guo, Xiaobo Qu, A faithful deep sensitivity estimation for accelerated magnetic resonance imaging, IEEE Journal of Biomedical and Health Informatics, 28: 2126-2137, 2024. (JCR 1, TOP, IF 7.7) | ||||||||
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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. (JCR 2, TOP, IF 4.3) [Frontispiece] | ||||||||
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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, 40: 129-140, 2023. (JCR 1, TOP, IF 14.9) [ESI Highly Cited Paper] | ||||||||
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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, 34: 6214-6226, 2023. (JCR 1, TOP, IF 10.4) | ||||||||
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Chen Qian, Zi Wang, Xinlin Zhang, Boxuan Shi, Boyu Jiang, Ran Tao, Jing Li, Yuwei Ge, Taishan Kang, Jianzhong Lin, Di Guo, Xiaobo Qu, A paired phase and magnitude reconstruction for advanced diffusion-weighted imaging, IEEE Transactions on Biomedical Engineering, 70: 3425-3435, 2023. (JCR 2, IF 4.6) | ||||||||
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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, Magnetic resonance spectroscopy deep learning denoising using few in vivo data, IEEE Transactions on Computational Imaging, 9: 448-458, 2023. (JCR 2, IF 5.4) | ||||||||
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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: Virtual peak enables highly accelerated NMR spectroscopy and faithful quantitative measures, IEEE Transactions on Computational Imaging, 9: 1043-1057, 2023. (JCR 2, IF 5.4) | ||||||||
| （2）会议论文/摘要 | |||||||||
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Zi Wang, Yirong Zhou, Chengyan Wang, Di Guo, Xiaobo Qu, Cardiac cine MRI with dimension-reduced deep separable spatiotemporal learning , International Society for Magnetic Resonance in Medicine Scientific Meeting (ISMRM), 2024, p. 0009. [Oral] [Summa Cum Laude Award] | ||||||||
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Zi Wang, Xiaotong Yu, Chengyan Wang, Weibo Chen, Jiazheng Wang, Ying-Hua Chu, Hongwei Sun, Rushuai Li, Peiyong Li, Fan Yang, Haiwei Han, Taishan Kang, Jianzhong Lin, Chen Yang, Shufu Chang, Zhang Shi, Sha Hua, Yan Li, Juan Hu, Liuhong Zhu, Jianjun Zhou, Meijing Lin, Jiefeng Guo, Congbo Cai, Zhong Chen, Di Guo, Xiaobo Qu, Physics-informed synthetic data learning boosts multi-scenario fast MRI reconstruction , International Society for Magnetic Resonance in Medicine Scientific Meeting (ISMRM), 2024, p. 0352. [Oral Power Pitch] | ||||||||
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Zi Wang, Haoming Fang, Chen Qian, Boxuan Shi, Lijun Bao, Liuhong Zhu, Jianjun Zhou, Wenping Wei, Jianzhong Lin, Di Guo, Xiaobo Qu, A faithful deep sensitivity estimation makes high-quality MRI reconstruction , International Society for Magnetic Resonance in Medicine Scientific Meeting (ISMRM), 2023, p. 3710. [Poster] | ||||||||
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Zi Wang, Chen Qian, Di Guo, Hongwei Sun, Rushuai Li, Xiaobo Qu, Memory-friendly and robust deep learning architecture for accelerated MRI , International Society for Magnetic Resonance in Medicine Scientific Meeting (ISMRM), 2022, p. 4301. [Power Pitch] | ||||||||
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Zi Wang, Yihui Huang, Zhangren Tu, Di Guo, Vladislav Orekhov, Xiaobo Qu, Accelerated magnetic resonance spectroscopy with model-inspired deep learning , International Society for Magnetic Resonance in Medicine Scientific Meeting (ISMRM), 2021, p. 1969. [Poster] | ||||||||
| （3）在审论文（#：共同一作） | |||||||||
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Zi Wang, Xiaotong Yu, Chengyan Wang, Weibo Chen, Jiazheng Wang, Ying-Hua Chu, Hongwei Sun, Rushuai Li, Peiyong Li, Fan Yang, Haiwei Han, Taishan Kang, Jianzhong Lin, Chen Yang, Shufu Chang, Zhang Shi, Sha Hua, Yan Li, Juan Hu, Liuhong Zhu, Jianjun Zhou, Meijing Lin, Jiefeng Guo, Congbo Cai, Zhong Chen, Di Guo, Guang Yang, Xiaobo Qu, One for multiple: Physics-informed synthetic data boosts generalizable deep learning for fast MRI reconstruction, arXiv preprint, arXiv: 2307.13220, 2023. | ||||||||
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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, Deep separable spatiotemporal learning for fast dynamic cardiac MRI, arXiv preprint, arXiv: 2402.15939, 2024. | ||||||||
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Zi Wang#, Fanwen Wang#, Chen Qin, Shuo Wang, Jun Lyu, Yan Li, Cheng Ouyang, Haoyu Zhang, Kunyuan Guo, Zhang Shi, Qirong Li, Ziqiang Xu, Yajing Zhang, Hao Li, Sha Hua, Longyu Sun, Mengting Sun, Qin Li, Ying-Hua Chu, Wenjia Bai, Jing Qin, Xiahai Zhuang, Claudia Prieto, Alistair Young, Michael Markl, He Wang, Lianming Wu, Guang Yang, Xiaobo Qu, Chengyan Wang, CMRxRecon2024: A multi-modality, multi-view k-space dataset boosting universal machine learning for accelerated cardiac MRI, arXiv preprint, arXiv: 2406.19043, 2024. | ||||||||
| （4）专利 | |||||||||
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屈小波, 王孜. 一种快速磁共振智能成像方法, 专利号: ZL202111203947.9, 申请日: 2021年10月15日, 授权日: 2024年4月30日. | ||||||||
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屈小波, 王孜. 一种物理生成数据驱动的快速磁共振智能成像方法, 专利号: ZL202310576205.3, 申请日: 2023年5月22日, 授权日: 2024年6月4日. | ||||||||
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屈小波, 王孜. 一种动态磁共振智能成像方法, 专利号: ZL202311454984.6, 申请日: 2023年11月3日, 授权日: 2024年10月30日. | ||||||||
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屈小波, 肖敏, 王孜. 一种即插即用的生成数据深度学习快速磁共振成像方法, 专利号: ZL202311164236.4, 申请日: 2023年9月11日, 授权日: 2024年8月7日. | ||||||||