龚晓亮
- 高级工程师
- 教师英文名称： Xiaoliang Gong
- 教师拼音名称： gongxiaoliang
- 学历： 博士研究生毕业
- 学位： 博士学位
- 主要任职： 电子与信息工程学院数字影像实验室主任
- 毕业院校： 华东师范大学
- 学科：计算机应用技术
电子信息
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- [1]龚晓亮.任务态-功能性磁共振影像虚拟仿真实验.中国现代教育装备,2022,1.
- [2]基于复杂网络的秀丽隐杆线虫神经系统性质研究进展.中国医学物理学杂志,2022,39(11):1431-1440.
- [3]龚晓亮.Emotion Regulation Music Recommendation Based on Feature Selection.NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS:20th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT),2021,337486-495.
- [4]Bayesian Graph Neural Networks for EEG-Based Emotion Recognition.GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND:10th Int Workshop on Clin Image-Based Procedures - Towards Holist Patient Models for Personalised Healthcare / 2nd MICCAI Workshop on Distributed and Collaborat Learning / 1st LL-COVID19 Workshop / 1st Workshop on Privacy-Preserving Machine Learning,2021,1296924-33.
- [5]默认模式网络在精神疾病诊断应用中的研究进展.中国医学物理学杂志,2021,1.
- [6]龚晓亮.The mutuality of social emotions: How the victim's reactive attitude influences the transgressor's emotional responses.525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA:NEUROIMAGE,2021,244
- [7]Classification of EEG signals during Working-Memory Maintenance based on Phase Space Reconstruction of Empirical Mode Decomposition.345 E 47TH ST, NEW YORK, NY 10017 USA:13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI),2020,675-680.
- [8]龚晓亮.Image Segmentation Using an Active Contour Model Based on the Difference Between Local Intensity Averages and Actual Image Intensities.445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA:IEEE ACCESS,2020,843200-43214.
- [9]Spatial Pattern of Electroencephalography (EEG) Extracted by Nonlinear Features during Working Memory Maintenance.345 E 47TH ST, NEW YORK, NY 10017 USA:13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI),2020,802-806.
- [10]Identify of spatial similarity of electroencephalography (EEG) dnring working-memory maintenance.27th European Signal Processing Conference, EUSIPCO 2019,2019,2019-September