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Homepage of Mingkai Huang(English, 中文) |
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| Ph.D. Student | ||||
| Department of Electronic Science,School of Electronic Science and Engineering (National Model Microelectronics College), Xiamen University. | ||||
| Email: huangmingkai@stu.xmu.edu.cn | ||||
| Computational Sensing Group at Xiamen University. | ||||
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Biosketch |
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Mingkai Huang is a Ph.D. candidate of Department of Electronic Science at Xiamen University in China. |
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Cardiac Magnetic Resonance Imaging | |
Machine learning,Deep learning | ||||||||
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Ph.D. Student (Sept. 2022-Current) Advisor: Xiaobo Qu Department of Electronic Science, Xiamen University, China |
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B.S. (Sept. 2018-June 2022) |
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| Research and Teaching Experiences | |||||||||||
| Selected Wards | |||||||||||
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08/2023, National Second Prize in the National Undergraduate Electronics Design Contest. |
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08/2022, First Prize in Fujian Province in the 2022 National Undergraduate Electronics Design Contest. |
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09/2022, First Prize in Fujian Province in the National Undergraduate Mathematical Contest in Modeling. |
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| Professional Skills | |||||||||||
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Deep learning framework: Pytorch | ||||||||||
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Mastered programming languages: Python | ||||||||||
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Lv B#, Huang M#, Chen M#, et al. Achievement of Possibly Maximum Photosynthetic Performances for Multi-Primary Laser Lighting for Indoor Farming[J]. IEEE Photonics Journal, 2023, 15(4): 1-6. | ||||||||||
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Shen J, Li H, Huang M, et al. Ultraclean Pure Shift Spectroscopy with Fast Acquisition Based on Deep Neural Network[C]//2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2024: 1-6. | ||||||||||