栗觅  

栗觅,副教授,博士生导师

²  个人简介

2014年至今在北京工业大学信息学部自动化学院开展科研与教学工作。2015年入选北京市委组织部优秀人才培养计划;2016年入选北京工业大学日新人才培养计划;并担任IEEE Transactions on Affective ComputingIEEE Transactions on Systems, Man, and Cybernetics等国际学术期刊审稿人。承担军委科技委国防科技创新特区项目、国家973计划子课题、国家自然科学基金、北京市自然科学基金等科研项目10余项,共发表学术论文70余篇(其中SCI收录25篇),申请国际和中国发明专利20余项(已授权美国发明专利1项,中国发明专利7项),软件著作权7项,并于2018年获得国家技术发明二等奖。

²  主要研究兴趣

1.        人工智能与模式识别

2.        情感识别与情感计算

3.        智能诊断与评估

4.        脑与认知科学

5.        认知行为与心理

6.        脑信息学

²  主要承担的科研项目

1.        国家重点基础研究发展计划项目(973计划),2014CB744601,基于fMRI数据的潜在抑郁症生理、心理特征挖掘方法研究,2016/01-2018/12,子课题负责人

2.        国家自然科学基金委青年基金项目,61602017,不同抑郁状态视觉行为特征及抑郁症早期识别方法研究,2017/01-2019/12,主持

3.        北京市自然科学基金青年项目,4164080,用户网上视觉行为模式及大脑信息加工机制的跨龄研究,2016/01-2017/12,主持

4.        北京市优秀人才培养资助项目,2014000020124G039,用户网上视觉行为模式及其识别方法研究,2015/01-2017/12,主持

5.        国家自然基金委国际合作重点项目,61420106005,海量语义数据处理关键技术研究,2015/01-2019/12,参加

²  代表性科研成果

[1]     Mi Li, Lei Cao, Qian Zhai, Peng Li, Sa Liu, Richeng Li, Lei Feng, Gang Wang, Bin Hu, Shengfu Lu*, Method of depression classification based on behavioral and physiological signals of eye movement, Complexity, 2020, 4174857: 1-9. (SCI)

[2]     Mi Li, Huan Chen, Xin Shi, Ming Zhang, Shengfu Lu*. A multi-information fusion “triple variables with iteration” inertia weight PSO algorithm and its application. Applied Soft Computing, 2019, 84: 105677. (SCI)

[3]     Mi Li, Huan Chen, Xiaodong Wang, Ning Zhong*, Shengfu Lu*. An improved particle swarm optimization algorithm with adaptive inertia weight. International Journal of Information Technology & Decision Making, 2019, 18(3): 833-866. (SCI)

[4]     Mi Li, Hongpei Xu, Shengfu Lu*. Neural basis of depression related to a dominant right hemisphere: a resting-state fMRI study. Behavioral Neurology, 2018, 5024520: 1-10. (SCI)

[5]     Mi Li, Lei Cao, Dachao Liu, Leilei Li, Shengfu Lu*. Deep learning based transfer learning for possible facial psychological expression recognition. Journal of Medical Imaging and Health Informatics, 2018, 8(7):1478-1485. (SCI)

[6]     Mi Li, Ming Zhang, Huan Chen, Shengfu Lu*. A method of biomedical information classification based on particle swarm optimization with inertia weight and mutation. Open Life Science, 2018, 13: 355-373. (SCI)

[7]     Mi Li, Xingwang Liu, Shengfu Lu*, Xiaodong Wang, Ning Zhong. A Method of Depression Recognition Based on Visual Information. Journal of Medical Imaging and Health Informatics, 2017, 7(7): 1572-1579. (SCI)

[8]     Mi Li, Ning Zhong*, Shengfu Lu*, Gang Wang, Lei Feng, Bin Hu. Cognitive behavioral performance of untreated depressed patients with mild depressive symptoms. PLOS One, 2016, 11(1): 1-14. (SCI)

[9]     Mi Li, Shengfu Lu*, Ning Zhong. The parahippocampal cortex mediates contextual associative memory: evidence from an fMRI study. Biomedical Research International, 2016, 9860604: 1-11. (SCI)

[10] Mi Li, Shengfu Lu*, Gang Wang, Lei Feng, Bingbing Fu, Ning Zhong. Emotion, Working memory, and cognitive control in first-onset and untreated patients with mild depressive disorders. Journal of International Medical Research, 2016, 44(3) 529-541. (SCI)

[11] Mi Li, Shengfu Lu*, Gang Wang, Ning Zhong*. The effects of gender differences in patients with depression on their emotional working memory and emotional experience. Behavioural Neurology, 2015: 1-8. (SCI)

[12] Mi Li, Shengfu Lu*, Ning Zhong. Recruitment of the ventral and dorsal streams in statistical graph comprehension: an fMRI study. Technology and Health Care, 2015, 23: 593–601. (SCI)

[13] Mi Li, Shengfu Lu*, Gang Wang, Lei Feng, Bingbing Fu, Ning Zhong*. Alleviated negative rather than positive attentional bias in patients with depression in remission: an eye-tracking study. Journal of International Medical Research, 2016, 44(5): 1072-1086. (SCI)

[14] Mi Li, Xiaofeng Lu, Xiaodong Wang, Shengfu Lu*, Ning Zhong*. Biomedical classification application and parameters optimization of mixed kernel SVM based on the information entropy particle swarm optimization. Computer Assisted Surgery, 2016, 21: 133-142. (SCI)

[15] Mi Li, Ning Zhong, Kuncheng Li, Shengfu Lu*. Functional activation of the parahippocampal cortex and amygdala during social statistical information processing. Cognitive Systems Research, 2012, 17-18: 25-33. (SCI)

[16] Mi Li, Shengfu Lu, Gang Wang, Ning Zhong. Affective bandwidth measurement and affective disorder judgment method. American Invention Patent, 14/731,928. 2017-01-03. (美国发明专利,已授权)

[17] 栗觅, 吕胜富, 孙建康, 王刚, 丰雷, 钟宁. 基于注意和情感信息融合的抑郁诊断系统及数据处理方法. 中国发明专利, ZL 201510468260.6. 2018-07-05. (已授权)

[18] 栗觅, 吕胜富, 马理旺, 钟宁. 一种基于视觉行为的网上用户类型识别方法及系统. 中国发明专利, ZL 201510037404.2. 2018-01-12. (已授权)

[19] 栗觅, 吕胜富, 张孟杰, 钟宁. 一种基于眼动数据的网上用户状态识别方法和装置. 中国发明专利, ZL 201510019518.4. 2017-09-19. (已授权)

[20] 栗觅, 吕胜富, 孙建康, 王刚, 丰雷, 钟宁. 一种抑郁风险三级预警方法及系统. 中国发明专利, ZL 201510018792.X. 2017-06-20. (已授权)

[21] 栗觅, 吕胜富, 周宇, 钟宁. 一种用于人类认知模式识别的特征归一化方法及系统. 中国发明专利, ZL 201410441415.2. 2016-05-11. (已授权)

[22] 栗觅, 吕胜富, 王刚, 钟宁. 一种情感带宽测定方法和系统. 中国发明专利, ZL 201410440520.4. 2015-08-26. (已授权)

[23] 栗觅, 吕胜富, 王静, 钟宁. 一种视觉注意的检测方法及系统. 中国发明专利, ZL 201410441421.8. 2015-08-12. (已授权)

[24] 栗觅, 张明, 吕胜富, 吕晓峰, 徐季莹, 薛佳, 刘兴旺, 刘大超, 钟宁. 自适应惯性权重PSO算法优化SVM分类模型系统. 软件著作权 (2016SR348321),中国,2016-09

[25] 栗觅, 孙建康, 吕胜富, 王晓东, 钟宁. 抑郁症测试诊断系统. 软件著作权 (2015SR073847),中国,2016-04

[26] 栗觅, 孙建康, 吕胜富, 王静, 刘鹏飞, 钟宁. 抑郁评估与辅助诊断系统. 软件著作权 (2014SR082851),中国,2014-06

[27] 栗觅, 吕胜富, 孙建康, 薛佳, 王静, 钟宁. 眼动信息可视化集成处理系统. 软件著作权 (2014SR087734),中国, 2014-06

²  所指导毕业研究生中,获得北京工业大学优秀硕士学位论文4人,获研究生国家奖学金2人,北京市及校级优秀毕业生1人。欢迎热衷于人工智能、模式识别以及面向医疗的智能诊断与评估方法与应用等方面研究的学生报考博士、硕士研究生!

²  联系方式

Email: limi@bjut.edu.cn

Tel: 010-67396586

地址:北京工业大学材料楼413

北京工业大学研究生招生办公室 地址:北京市朝阳区平乐园100号 邮政编码:100124 联系电话:010-67392533