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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- [11]龚晓亮.Internet addiction disorder detection of Chinese college students using several personality questionnaire data and support vector machine..Addictive behaviors reports,2019,10100200.
- [12]Hierarchical Feature Extraction for Early Alzheimer's Disease Diagnosis.445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA:IEEE ACCESS,2019,793752-93760.
- [13]龚晓亮.Computer-aided pancreas segmentation based on 3D GRE Dixon MRI: a feasibility study.1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND:ACTA RADIOLOGICA OPEN,2019,8(3):
- [14]Identify of Spatial Similarity of Electroencephalography (EEG) during Working-Memory Maintenance.345 E 47TH ST, NEW YORK, NY 10017 USA:27th European Signal Processing Conference (EUSIPCO),2019,
- [15]Short time Fourier transformation and deep neural networks for motor imagery brain computer interface recognition.111 RIVER ST, HOBOKEN 07030-5774, NJ USA:CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2018,30(23):
- [16]龚晓亮.Optimal channel set selection for SSVEP-based BCI using spatial temporal correlation.13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017,2018,2038-2042.
- [17]龚晓亮.Exploring the neural pattern in EEG records of material-specific memory maintenance by deep learning.14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2018,2018,1081-1085.
- [18]龚晓亮.Active Contour Model Based on Local Intensity Fitting Energy for Image Segmentation and Bias Estimation.445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA:IEEE ACCESS,2018,649817-49827.
- [19]Detection of IAD based on personality questionnaires of Chinese college students and SVMs.10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017,2018,2018-January1-6.
- [10]Identify of spatial similarity of electroencephalography (EEG) dnring working-memory maintenance.27th European Signal Processing Conference, EUSIPCO 2019,2019,2019-September