》 Research Fields
Brain Cognition and Intelligent Computing, Affective Computing
》 Courses
Introduction to Brain Science
How Does the Brain Make Decisions?
Software Engineering in English
》 Projects
1. National Natural Science Foundation of China, Top Project, 62173252, A Method for Image Analysis of Pancreatic Tumor Combining Evidence Theory and Deep Learning, 2022-01-01 to 2025-12-31, RMB 580,000, Under Research, Participating
2. National Natural Science Foundation of China, Major Research Program, 92168204, Mechanism of Central Nervous System Regulation of Peripheral Articular Cartilage Regeneration, 2022-01-01 to 2025-12-31, $3,000,000, in progress, participant
3. National Natural Science Foundation of China (NSFC), Major Research Program, 92046008, Aided Diagnosis and Decision Making of Pancreatic Tumors in a Multi-source Big Data Environment, 2021-01-01 to 2021-12-31, $200,000, in progress, participant
4. National Natural Science Foundation of China, Top Project, 51978508, A Traffic Video-Assisted Method for High-Precision Identification of Multi-Vehicle Loads on Bridges, 2020-01-01 to 2023-12-31, $600,000, in progress, participant
5. National Natural Science Foundation of China (NSFC), Top Project, 61772369, Deep Discriminative and Cognitive Mechanisms Analysis of Multimode ADHD MRI Images, 2018-01-01 to 2021-12-31, $650,000, in progress, supported by
6. National Natural Science Foundation of China, Top-level project, 81771464, Functional imaging and physiological-psychological mechanisms of family dynamics and family treatment efficacy for adolescent depressive disorder, 2018-01-01 to 2021-12-31, $0.54 million, in progress, participant
》 Publications
1. 谢非, 龚晓亮*, 陆言 et al. 默认模式网络在精神疾病诊断中的研究进展[J].中国医学物理学杂志,2022:695-700.
2. 龚晓亮, 陈宇飞 et al. 任务态-功能磁共振影像虚拟仿真实验[J].中国现代教育装备,2022:12-15.
3. Gong, Xiaoliang , Yuan, Ruiyi , Qian, Huiet al. Emotion regulation music recommendation based on feature selection[C].Frontiers in Artificial Intelligence and Applications,2021,337:486-495.
4. Chen, Jianhui (1), Qian, Hui (1), Gong, Xiaoliang (1) et al. Bayesian Graph Neural Networks for EEG-Based Emotion Recognition[C].Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2021,12969 LNCS:24-33.
5. Wu, YJ (Wu, Yijing), Qian, H (Qian, Hui), Yang, XH (Yang, Xinhui) et al. Classification of EEG signals during Working-Memory Maintenance based on Phase Space Reconstruction of Empirical Mode Decomposition[C].2020 13TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2020),2020:675-680.
6. Qian, H (Qian, Hui), Yan, CG (Yan, Chungang), Yang, XH (Yang, Xinhui) et al. Spatial Pattern of Electroencephalography (EEG) Extracted by Nonlinear Features during Working Memory Maintenance[C].2020 13TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2020),2020:802-806.
7. Song, Yufan (1), Zhang, ZhiHong (1), Hu, Te (1) et al. Identify of spatial similarity of electroencephalography (EEG) dnring working-memory maintenance[C].European Signal Processing Conference,2019,2019-September.
8. Gong, XL (Gong, Xiaoliang), Ma, C (Ma, Chao), Yang, PP (Yang, Panpan) et al. Computer-aided pancreas segmentation based on 3D GRE Dixon MRI: a feasibility study[J].ACTA RADIOLOGICA OPEN,2019,8(3).
9. Yue, LL (Yue, Lulu), Gong, XL (Gong, Xiaoliang), Li, J (Li, Jie) et al. Hierarchical Feature Extraction for Early Alzheimer's Disease Diagnosis[J].IEEE ACCESS,2019,7:93752-93760.
10. Di, Zonglin, Gong, Xiaoliang, Shi, Jingyu et al. Internet addiction disorder detection of Chinese college students using several personality questionnaire data and support vector machine.[J].Addictive behaviors reports,2019,10:100200.
11. Wang, ZJ (Wang, Zijian), Cao, L (Cao, Lei), Zhang, Z (Zhang, Zuo) et al. Short time Fourier transformation and deep neural networks for motor imagery brain computer interface recognition[J].CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2018,30(23).
12. Shan, XY (Shan, Xiaoying), Gong, XL (Gong, Xiaoliang), Nandi, AK (Nandi, Asoke K.) et al. Active Contour Model Based on Local Intensity Fitting Energy for Image Segmentation and Bias Estimation[J].IEEE ACCESS,2018,6:49817-49827.
13. Wang, Zige (1), Zhang, Hao (1), Hu, Te (1) et al. Exploring the neural pattern in EEG records of material-specific memory maintenance by deep learning[C].ICNC-FSKD 2018 - 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery,2018:1081-1085.
14. Yue, Lulu (1), Gong, Xiaoliang (1), Chen, Kaibo (1) et al. Auto-detection of alzheimer's disease using deep convolutional neural networks[C].ICNC-FSKD 2018 - 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery,2018:228-234.
15. Feng, W (Feng, Wei), Wang, D (Wang, Dan), Tang, L (Tang, Long) et al. Effects of Different Cognitive Trainings on Amnestic Mild Cognitive Impairment in the Elderly: A One-Year Longitudinal Functional Magnetic Resonance Imaging (MRI) Study[J].MEDICAL SCIENCE MONITOR,2018,24:5517-5527.
16. Shan, XY (Shan, Xiaoying), Du, CL (Du, Chaolin), Chen, YF (Chen, Yufei) et al. Threshold Algorithm For Pancreas Segmentation in Dixon Water Magnetic Resonance Images[C].2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD),2017:2367-2371.
17. Shan, Xiaoying (Shan X.), Du, Chaolin (Du C.), Chen, Yufei (Chen Y.) et al. Threshold algorithm for pancreas segmentation in Dixon water magnetic resonance images[C].ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery,2018:2367-2371.
18. Di, Zongling (Di Z.), Gong, Xiaoliang (Gong X.), Shi, Jingyu (Shi J.) et al. Detection of IAD based on personality questionnaires of Chinese college students and SVMs[C].Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017,2018,2018-January:1-6.
19. Zhang, J (Zhang, Jin), Yan, CG (Yan, Chungang), Gong, XL (Gong, Xiaoliang) et al. Subject Dependent Feature Extraction Method for Motor Imagery based BCI using Multivariate Empirical Mode Decomposition[C].2017 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC),2017.
20. Zhang, J (Zhang, Jin), Yan, CG (Yan, Chungang), Cao, L (Cao, Lei) et al. Optimal Channel Set Selection for SSVEP-based BCI using Spatial Temporal Correlation[C].2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD),2017:2038-2042.
21. Zhang, J (Zhang, Jin), Yan, CG (Yan, Chungang), Gong, XL (Gong, Xiaoliang) et al. Deep Convolutional Neural Network for Decoding Motor Imagery based Brain Computer Interface[C].2017 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC),2017.
22. Gao, XX (Gao, Xiaoxue), Yu, HB (Yu, Hongbo), Peng, L (Peng, Lu) et al. The mutuality of social emotions: How the victim's reactive attitude influences the transgressor's emotional responses[J].NEUROIMAGE,2021,244:-.
23. 杨盼盼, 杜超璘, 龚晓亮 et al. 基于三维Dixon磁共振成像的胰腺计算机辅助分割可行性研究[J].中华胰腺病杂志,2017,17(06):400-403.
24. Hu, J (Hu, Jie), Blue, PR (Blue, Philip R.), Yu, HB (Yu, Hongbo) et al. Social status modulates the neural response to unfairness[J].SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE,2016,11(1):1-10.
25. Gao, XX (Gao, Xiaoxue), Gong, PY (Gong, Pingyuan), Liu, JT (Liu, Jinting) et al. COMT Val158Met polymorphism influences the susceptibility to framing in decision-making: OFC-amygdala functional connectivity as a mediator[J].HUMAN BRAIN MAPPING,2016,37(5):1880-1892.
26. Gong, XL (Gong, Xiaoliang), Long, BZ (Long, Bozhong), Fang, K (Fang, Kun) et al. A Prediction Based on Clustering and Personality Questionnaire Data for IGD Risk A Preliminary work[C].2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD),2016:1699-1703.
27. Wang, LH (Wang, Lihui), Yu, HB (Yu, Hongbo), Hu, J (Hu, Jie) et al. Reward Breaks Through Center-Surround Inhibition via Anterior Insula[J].HUMAN BRAIN MAPPING,2015,36(12):5233-5251.
28. 王国谱, 龚晓亮, 唐珑 et al. 基于运动执行控制的半球抑制性神经网络特性[C].2015第十届全国体育科学大会论文摘要汇编（二）,2015:731-732.
1.陈宇飞, 龚晓亮, 杜超璘 et al. 一种基于自适应阈值和模板匹配的自动胰腺分割方法[P],2017.
2.陈宇飞, 岳晓冬, 龚晓亮 et al. 一种基于三支决策的肝脏肿瘤CT图像分类方法[P],2016.
》 Honors & Awards
