51启辰白菜网|首頁(欢迎您)

近五年主持或参加科研项目（课题）及人才计划项目情况:

1. 国家自然科学基金委员会，青年科学基金项目，62102172，基于脑电和眼动数据融合的轻度抑郁识别模型及关键技术研究，2022/01至2024/12，30万元，在研，主持

2. 甘肃省科技厅，甘肃省自然科学基金，22JR5RA489，面向轻度抑郁识别的脑电和眼动数据融合方法研究，2022/10至2024/09，6万元，在研，主持

3. 兰州大学，中央高校基本科研业务费专项资金，lzujbky-2022-10，基于双模态数据融合的轻度抑郁识别关键技术研究，2022/07至2024/06，20万元，在研，主持

4. 科学技术部，国家科技创新2030-重大项目，2021ZD0202000，焦虑障碍的发病机制及干预技术研究，2021/12至2026/11， 4950万元，在研，子课题负责人

5. 科学技术部，国家重点研发计划-变革型技术关键科学问题，2019YFA0706204，抑郁障碍早期非药物干预技术研究，2019/12至2024/11，810万元，在研，参与

6. 国家自然科学基金委员会，面上项目，62076113，面向应急情绪干预的量化模型研究，2021/01至2024/12，59万元，在研，参与

7. 国家自然科学基金委员会，重点项目，61632014，注意神经机制的可计算模型研究，2017/01至2021/12，230万元，结题，参与

近5年主要的SCI/EI论文如下：

1. Jing, Zhu; Changlin Yang; Xiannian Xie; Shiqing Wei; Yizhou Li; Xiaowei Li; Bin Hu; Mutual Information Based Fusion Model (MIBFM): Mild Depression Recognition Using EEG and Pupil Area Signals, IEEE Transactions on Affective Computing, 10.1109/TAFFC.2022.3171782. (SCI二区)

2. Jing, Zhu; Shiqing Wei; Xiannian Xie; Changlin Yang; Yizhou Li; Xiaowei Li; Bin Hu; Content-based multiple evidence fusion on EEG and eye movements for mild depression recognition, Computer Methods and Programs in Biomedicine, 2022, 226, 107110. (SCI二区)

3. Jing, Zhu; Changting Jiang; Junhao Chen; Xingbin Lin; Ruilan Yu; Xiaowei Li; Bin Hu; EEG based depression recognition using improved graph convolutional neural network; Computers in Biology and Medicine, 2022, 148, 105815. (SCI二区)

4. Jing, Zhu; Zihan, Wang; Tao, Gong; Shuai, Zeng; Xiaowei, Li; Bin, Hu; Jianxiu, Li; Shuting, Sun; Lan, Zhang; An Improved Classification Model for Depression Detection Using EEG and Eye Tracking Data , IEEE Transactions on NanoBioscience, 2020, 19(3): 527-537. (SCI三区)

5. Jing, Zhu; Ying, Wang; Rong, La; Jiawei, Zhan; Junhong, Niu; Shuai, Zeng; Xiping, Hu; Multimodal Mild Depression Recognition Based on EEG-EM Synchronization Acauisition Network , IEEE Access, 2019, 7: 28196-28210. (SCI三区)

6. Jing, Zhu; Jianxiu, Li; Xiaowei, Li; Juan, Rao; Yanrong, Hao; Zhijie, Ding; Ganping, Wang; Neural Basis of the Emotional Conflict Processing in Major Depression: ERPs and Source Localization Analysis on the N450 and P300 Components , Frontiers in Human Neuroscience, 2018, 12: 0-214. (SCI三区)

7. Jing, Zhu; Xiannian Xie; Changlin Yang; Shiqing Wei; Xiaowei Li; Bin Hu; Hybrid fusion model based on DBN and secondary classifier: Multimodal mild depression recognition using EEG and eye movement, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, USA, 2022-12-6至2022-12-8. (CCF B类会议)

8. Jing, Zhu; Zihan, Wang; Shuai, Zeng; Xiaowei, Li; Bin, Hu; Xin, Zhang; Chen, Xia; Lan, Zhang; Zhijie, Ding; Toward Depression Recognition Using EEG and Eye Tracking: An Ensemble Classification Model CBEM, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, CA, USA, 2019-11-18至2019-11-21. (CCF B类会议)

9. Jing, Zhu; Tao, Gong; Zihan, Wang; Chen, Xia; Zhijie, Ding; Xiaowei, Li; Attention Bias in Emotional Conflict in Major Depression Disorder: An Eye Tracking Study, 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM), Virtual Conference, 2021-3-1至2021-3-2. (EI会议)

10. Yun, Zhang; Tao, Gong; Shuting, Sun; Jianxiu, Li; Jing, Zhu; Xiaowei, Li; A functional network study of patients with mild depression based on source location, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seout, S.Korea, 2020-12-16至2020-12-19.(通讯作者，CCF B类会议)

11. Shuai Zeng; Junhong Niu; Jing Zhu; Xiaowei Li; A Study on Depression Detection Using Eye Tracking; 4th International Conference on Human Centered Computing, HCC 2018. (通讯作者，EI会议)

1. 兰州大学，教学成果二等奖，2018年

2. 教育部电子商务教指委，第五届全国大学生电子商务“创新、创意及创业”挑战赛“优秀指导教师奖”，2015年

3. 甘肃省教育厅，第七届全国大学生电子商务“创新、创意及创业”挑战赛“优秀指导教师奖”，2018年

4. 兰州大学，兰州大学创新创业大赛优秀指导教师二等奖，2016年

5. 兰州大学，兰州大学大学生创新创业行动计划“优秀指导教师”，2017年