个人简历
个人简介Personal Profile丛丰裕在2002和2007年从“上海交通大学”分别获得本科与工学博士学位；从2007年至2013年在芬兰“于韦斯屈莱大学”工作（职称依次为博士后、初级讲师、助理教授和副教授），并且于2008-2010年在职攻读芬兰“于韦斯屈莱大学”哲学博士。从2013年12月开始任职大连理工大学电信学部生物医学工程学院教授、博士生导师。同时是芬兰于韦斯屈莱大学兼职教授，日本理化学研究所客座研究员，中国生物医学工程青年委员会副主任委员，辽宁省神经科学学会副会长，先后获得辽宁省“兴辽英才计划”青年拔尖人才和大连市地方级领军人才等称号。丛丰裕研究方向为脑科学、医学和计算机科学等高度交叉的认知神经科学。出版一本英文专著，发表英文期刊和会议论文共计100余篇，其谷歌学术H因子为18。教育经历2002.9 2007.3 上海交通大学 机械设计及理论 博士1998.9 2002.7 上海交通大学 热能与动力工程 学士1995.9 1998.7 大连开发区第一中学 无工作经历2013.12 至今 大连理工大学生物医学工程系 教授2012.5 2013.12 芬兰 于韦斯屈莱 副教授（终身）2011.7 2012.5 芬兰 于韦斯屈莱 助理教授2008.9 2011.6 芬兰 于韦斯屈莱 初级讲师2007.3 2008.8 芬兰 于韦斯屈莱大学 博士后专利 对静息态复数fMRI数据进行ICA后处理消噪的相位精确范围检测方法 一种利用PCA和非环形特性估计复数fMRI数据模型阶数的方法 一种结合独立成分分析与移不变规范多元分解的多被试功能核磁共振成像数据分析方法 一种适于多被试复数fMRI数据分析的自适应定点IVA算法 一种用于多被试fMRI数据分析的分组张量方法 一种对复数fMRI数据进行ICA分析的后处理消噪方法 著作成果 Advanced Signal Processing on Brain Event-Related Potentials Nonnegative matrix and tensor decomposition of EEG 科研项目 基于功能性脑, 其他课题, 2017/08/01, 进行 基于声呐操作员大脑识别声信号神经机制特性的水下目标特征提取与自动识别研究, 国家自然科学基金项目, 2017/12/15, 进行 自然刺激下的多维度与多尺度脑电信号处理方法研究, 国家自然科学基金项目, 2014/09/01, 完成 基于脑电信号的精神疲劳检测系统开发, 企事业单位委托科技项目, 2018/10/23-2021/12/31, 进行 基于单导耳脑电的睡眠分期新方法研究, 国家自然科学基金项目, 2017/12/15, 完成 提升雪上技巧项目动作控制大脑神经效率关键技术的研究与应用, 国家科技部 , 2018/08/01, 进行 授课信息 高级脑功能成像技术 /2019-2020 /春学期 /2.0学分 /2020730041 高级脑功能成像技术 /2019-2020 /春学期 /32课时 /2.0学分 /2020730041 医学信号分析与处理 /2019-2020 /秋学期 /40课时 /2.5学分 /1020740090 医学信号分析与处理 /2019-2020 /秋学期 /40课时 /2.5学分 /1020740090 脑与认知科学概论 /2018-2019 /夏学期 /32课时 /2.0学分 /1020940010 医学信号分析与处理 /2018-2019 /秋学期 /40课时 /2.5学分 /1020740090 科研奖励 大连市自然科学优秀学术论文 辽宁省自然科学学术成果奖 其他奖励 芬兰最佳硕士论文奖获得者导师 （2014年）
研究领域
机器学习、模式识别信号处理：脑信号、声信号认知神经科学，EEG, MEG, fMRI脑科学、脑工程""
近期论文
[1]Wang, Deqing,Cong, Fengyu,Ristaniemi, Tapani.HIGHER-ORDER NONNEGATIVE CANDECOMP/PARAFAC TENSOR DECOMPOSITION USING PROXIMAL ALGORITHM[A],2019,2019-May:3457-3461 [2]Hu, Guoqiang,Zhang, Qing,Water, Abigail B.,Li, Huanjie,Zhang, Chi,Wu, Jianlin,Cong, Fengyu,Nickerson, Lisa D..Tensor clustering on outer-product of coefficient and component matrices of independent component analysis for reliable functional magnetic resonance imaging data decomposition[J],JOURNAL OF NEUROSCIENCE METHODS,2019,325:108359 [3]Wang, Xiulin,Ristaniemi, Tapani,Cong, Fengyu.FAST IMPLEMENTATION OF DOUBLE-COUPLED NONNEGATIVE CANONICAL POLYADIC DECOMPOSITION[A],2019,2019-May:8588-8592 [4]Zhu, Yongjie,Li, Xueqiao,Ristaniemi, Tapani,Cong, Fengyu.MEASURING THE TASK INDUCED OSCILLATORY BRAIN ACTIVITY USING TENSOR DECOMPOSITION[A],2019,2019-May:8593-8597 [5]邓玉琴,王珏,丛丰裕,周成林.心智游移的功能磁共振成像研究进展[J],磁共振成像,2019,10(4):296-302 [6]Yan, Rui,Li, Fan,Wang, Xiaoyu,Ristaniemi, Tapani,Cong, Fengyu.An automatic sleep scoring toolbox: Multi-modality of Polysomnography Signals Processing[A],2019,1:307-315 [7]Shang, Shang,Long, Ling,Lin, Sijie,Cong, Fengyu.Automatic Zebrafish Egg Phenotype Recognition from Bright-Field Microscopic Images Using Deep Convolutional Neural Network[J],APPLIED SCIENCES-BASEL,2019,9(16) [8]Wang, Deqing,Zhu, Yongjie,Ristaniemi, Tapani,Cong, Fengyu.Extracting multi-mode ERP features using fifth-order nonnegative tensor decomposition[J],JOURNAL OF NEUROSCIENCE METHODS,2018,308:240-247 [9]Zhang, Qing,Hu, Guoqiang,Tian, Lili,Ristaniemi, Tapani,Wang, Huili,Chen, Hongjun,Wu, Jianlin,Cong, Fengyu.Examining stability of independent component analysis based on coefficient and component matrices for voxel-based morphometry of structural magnetic resonance imaging[J],COGNITIVE NEURODYNAMICS,2018,12(5):461-470 [10]Wolf, Dhana,Mittelberg, Irene,Rekittke, Linn-Marlen,Bhavsar, Saurabh,Zvyagintsev, Mikhail,Haeck, Annina,Cong, Fengyu,Klasen, Martin,Mathiak, Klaus.Interpretation of Social Interactions: Functional Imaging of Cognitive-Semiotic Categories During Naturalistic Viewing[J],FRONTIERS IN HUMAN NEUROSCIENCE,2018,12:296 [11]Wang, Xiaoyu,Fu, Rao,Xia, Xiaoyu,Chen, Xueling,Wu, Han,Landi, Nicole,Pugh, Ken,He, Jianghong,Cong, Fengyu.Spatial Properties of Mismatch Negativity in Patients with Disorders of Consciousness[J],NEUROSCIENCE BULLETIN,2018,34(4,SI):700-708 [12]Zhang, Chi,Cong, Fengyu,Kujala, Tuomo,Liu, Wenya,Liu, Jia,Parviainen, Tiina,Ristaniemi, Tapani.Network Entropy for the Sequence Analysis of Functional Connectivity Graphs of the Brain[J],ENTROPY,2018,20(5) [13]Kuang, Li-Dan,Lin, Qiu-Hua,Gong, Xiao-Feng,Cong, Fengyu,Sui, Jing,Calhoun, Vince D..Model order effects on ICA of resting-state complex-valued fMRI data: Application to schizophrenia.[J],Journal of neuroscience methods,2018,304:24-38 [14]张驰,丛丰裕.EEG-based spatio-temporal interaction analysis for driver fatigue assessment[A],第三届辽宁省神经科学学会学术研讨会,2018 [15]王洪凯,尚尚,龙凌,胡如雪,吴毅,陈娜,张绍祥,丛丰裕,林思劼.Biological image analysis using deep learning based methods: literature review[J],Digital Medicine,2018,4(4):157-165 [16]Reza Mahini,张驰,李焕杰,丛丰裕.Multiple-Subject Consensus Clustering for Determination of Time-Window of Mismatch Negativity Component[A],The 8th Mismatch Negativity conference,2018 [17]Zhang, Guanghui,Tian, Lili,Chen, Huaming,Li, Peng,Ristaniemi, Tapani,Wang, Huili,Li, Hong,Chen, Hongjun,Cong, Fengyu.Effect of parametric variation of center frequency and bandwidth of morlet wavelet transform on time-frequency analysis of event-related potentials[A],2017,459:693-702 [18]Kuang, Li-Dan,Lin, Qiu-Hua,Gong, Xiao-Feng,Chen, Yong-Gang,Cong, Fengyu,Calhoun, Vince D..MODEL ORDER EFFECTS ON INDEPENDENT VECTOR ANALYSIS APPLIED TO COMPLEX-VALUED FMRI DATA[A],IEEE 14th International Symposium on Biomedical Imaging (ISBI) - FromNano to Macro,2017,81-84 [19]李雪艳,王慧莉,丛丰裕,马斯亚克,克劳斯,王小潞.生命周期不同阶段的幽默理解与加工机制[J],浙江大学学报(人文社会科学版),2017,47(4):65-77 [20]Zhang, Chi,Cong, Fengyu,Wang, Hong.Driver Fatigue Analysis Based on Binary Brain Networks[A],7th International Conference on Information Science and Technology(ICIST),2017,485-489 [21]Kuang, Li-Dan,Lin, Qiu-Hua,Gong, Xiao-Feng,Cong, Fengyu,Calhoun, Vince D..Adaptive independent vector analysis for multi-subject complex-valued fMRI data[J],JOURNAL OF NEUROSCIENCE METHODS,2017,281:49-63 [22]Kuang, Li-Dan,Lin, Qiu-Hua,Gong, Xiao-Feng,Cong, Fengyu,Calhoun, Vince D..POST-ICA PHASE DE-NOISING FOR RESTING-STATE COMPLEX-VALUED FMRI DATA[A],IEEE International Conference on Acoustics, Speech, and SignalProcessing (ICASSP),2017,856-860 [23]Zhang, Ce,Lin, Qiu-Hua,Zhang, Chao-Ying,Hao, Ying-Guang,Gong, Xiao-Feng,Cong, Fengyu,Calhoun, Vince D..Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data[A],ADVANCES IN NEURAL NETWORKS, PT II,2017,10262:559-566 [24]张驰,丛丰裕.EEG-based spatio-temporal interaction analysis for driver fatigue assessment[A],BaCI Conference 2017,2017 [25]Mahini, Reza,Zhou, Tianyi,Li, Peng,Nandi, Asoke K.,Li, Huanjie,Li, Hong,Cong, Fengyu.Cluster Aggregation for Analyzing Event-Related Potentials[A],ADVANCES IN NEURAL NETWORKS, PT II,2017,10262:507-515 [26]Wang, Jing,Chen, Zhaofeng,Peng, Xiaozhe,Yang, Tiantian,Li, Peng,Cong, Fengyu,Li, Hong.To Know or Not to Know? Theta and Delta Reflect Complementary Information about an Advanced Cue before Feedback in Decision-Making[J],FRONTIERS IN PSYCHOLOGY,2016,7(OCT):1556 [27]Wang, Deqing,Cong, Fengyu,Zhao, Qibin,Toiviainen, Petri,Nandi, Asoke K.,Huotilainen, Minna,Ristaniemi, Tapani,Cichocki, Andrzej.EXPLOITING ONGOING EEG WITH MULTILINEAR PARTIAL LEAST SQUARES DURING FREE-LISTENING TO MUSIC[A],26th IEEE International Workshop on Machine Learning for SignalProcessing (MLSP),2016,2016-November [28]Yang, Tiantian,Cong, Fengyu,Chang, Zheng,Liu, Youyi,Ristainiemi, Tapani,Li, Hong.Individual Independent Component Analysis on EEG: Event-Related Responses Vs. Difference Wave of Deviant and Standard Responses[A],13th International Symposium on Neural Networks (ISNN),2016,9719:30-39 [29]Kuang, Li-Dan,Lin, Qiu-Hua,Gong, Xiao-Feng,Cong, Fengyu,Calhoun, Vince D..AN ADAPTIVE FIXED-POINT IVA ALGORITHM APPLIED TO MULTI-SUBJECT COMPLEX-VALUED FMRI DATA[A],IEEE International Conference on Acoustics, Speech, and SignalProcessing,2016,2016-May:714-718 [30]龚晓峰,林秋华,丛丰裕.Validating Stability of Components Extracted by Nonnegative Matrix Factorization via Clustering[A],2016,1-4 [31]张驰,丛丰裕.Driver Fatigue Analysis Based on Binary Brain Networks[A],8th International Workshop on Biosignal Interpretation,2016 [32]张驰,丛丰裕.Physiological Mental Fatigue Analysis Based on Binary Brain Networks[A],2016 [33]王慧莉,丛丰裕.Humor Appreciation and Its Corresponding Processing Mechanism over a Lifespan[J],Journal of Zhejiang University (Humanities and Social Sciences Online Edition)CSSCI,2016,14-28 [34]Lee, Namgil,Phan, Anh-Huy,Cong, Fengyu,Cichocki, Andrzej.Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering[A],23rd International Conference on Neural Information Processing (ICONIP),2016,9949:87-95 [35]Kuang, Li-Dan,Lin, Qiu-Hua,Gong, Xiao-Feng,Cong, Fengyu,Sui, Jing,Calhoun, Vince D..Multi-subject fMRI analysis via combined independent component analysis and shift-invariant canonical polyadic decomposition[J],JOURNAL OF NEUROSCIENCE METHODS,2015,256:127-140 [36]Bai, Yan,Yao, Zhong,Cong, Fengyu,Zhang, Linlin.Event-related potentials elicited by social commerce and electronic-commerce reviews[J],COGNITIVE NEURODYNAMICS,2015,9(6):639-648 [37]Li Peng,Wang Wenmiao,Li Hong,Cong Fengyu,Roberson, Debi,Song Xinxin,Wang Jing,Zhou Xiaoran,Li Jiayi,Lin Fengtong,Hu Zhonghua,Zhang Xinxin,Cui Hewei.Reduced sensitivity to neutral feedback versus negative feedback in subjects with mild depression: Evidence from event-related potentials study[J],BRAIN AND COGNITION,2015,100:15-20 [38]李焕杰,丛丰裕,高家红.组间磁共振数据处理与分析[A],2015年中国生物医学工程联合学术年会,2015,1-5 [39]Wang, Deqing,Liu, Zengwu,Cong, Fengyu.Wood Surface Quality Detection and Classification Using Gray Level and Texture Features[A],12th International Symposium on Neural Networks (ISNN),2015,9377:248-257 [40]Tan, Xiao,Tarkka, Ina,Partinen, Markku,Cheng, Sulin,Alen, Markku,Cheng, Shu Mei,Mikkola, Tuija M.,Tenhunen, Jarkko,Lyytikaeinen, Arja,Wiklund, Petri,Cong, Fengyu,Saarinen, Antti.Associations of disordered sleep with body fat distribution, physical activity and diet among overweight middle-aged men[J],JOURNAL OF SLEEP RESEARCH,2015,24(4):414-424 [41]Yu, Mou-Chuan,Lin, Qiu-Hua,Kuang, Li-Dan,Gong, Xiao-Feng,Cong, Fengyu,Calhoun, Vince D..ICA of full complex-valued fMRI data using phase information of spatial maps[J],JOURNAL OF NEUROSCIENCE METHODS,2015,249:75-91 [42]Tsatsishvili, Valeri,Cong, Fengyu,Toiviainen, Petri,Ristaniemi, Tapani.Combining PCA and Multiset CCA for Dimension Reduction when Group ICA is Applied to Decompose Naturalistic fMRI Data[A],International Joint Conference on Neural Networks (IJCNN),2015,2015-September [43]Cong, Fengyu,Lin, Qiu-Hua,Kuang, Li-Dan,Gong, Xiao-Feng,Astikainen, Piia,Ristaniemi, Tapani.Tensor decomposition of EEG signals: A brief review[J],JOURNAL OF NEUROSCIENCE METHODS,2015,248:59-69 [44]Cong, Fengyu,Zhou, Guoxu,Astikainen, Piia,Zhao, Qibin,Wu, Qiang,Nandi, Asoke K.,Hietanen, Jari K.,Ristaniemi, Tapani,Cichocki, Andrzej.LOW-RANK APPROXIMATION BASED NON-NEGATIVE MULTI-WAY ARRAY DECOMPOSITION ON EVENT-RELATED POTENTIALS[J],INTERNATIONAL JOURNAL OF NEURAL SYSTEMS,2014,24(8):CP2-U20 [45]Chang, Zheng,Liu, Yang,Cong, Fengyu,Guo, Xijuan,Zhou, Zhenyu.Multi-Domain Collaborative Spectrum Sensing and Power Control in Presence of Multiple Primary Users[A],IEEE International Conference on Communication Systems (IEEE ICCS),2014,369-373 [46]Cong, Fengyu,Lin, Qiu-Hua,Astikainen, Piia,Ristanierni, Tapani.How to validate similarity in linear transform models of event-related Potentials between experimental conditions?[J],JOURNAL OF NEUROSCIENCE METHODS,2014,236:76-85 [47]丛丰裕.Generation of stimulus features for analysis of FMRI during natural auditory[A],2014,2490-2494 [48]丛丰裕.Low-rank Approximation Based Nonnegative Multi-way Array Decomposition on Event-Related Potentials[J],International Journal of Neural Systems,2014,24(8):1-19
