个人资料
教育经历2010/09-2013/07,中国科学院数学与系统科学研究院,应用数学所,理学博士 工作经历2024-至今,南开大学统计与数据科学学院,数据科学系,教授 个人简介李慧嘉,男,山东济宁人,博士毕业于中国科学院数学与系统科学研究院,现任南开大学统计与数据科学学院教授、博士生导师。主要从数据挖掘、社交网络、群智计算等方面的研究工作,并解决大数据分析、人工智能、复杂系统与社会计算等应用领域的热点问题。主持国家自然科学基金面上、青年项目、北京市自然科学基金面上项目,参与国自科重点及重大研究计划项目多项。已出版中英文专著4部,在包括IEEE 及ACM汇刊、PNAS、《中国科学》在内的国内外顶级期刊发表文章100余篇,共被引用3000余次,近20余篇论文入选“ESI高被引论文”、“热点论文”及期刊“Featured Article”,成果被图灵奖获得者、美国科学院院士、IEEE Fellow等知名专家在PNAS、Physics Reports等知名期刊引用评价,并担任《Frontiers in Physics》、《Humanities and Social Sciences Communications》、《Electronics》、《Frontiers in High Performance Computing》、《PLOS One》等多个SCI期刊的编委和学术委员会成员。曾获“北京市优秀青年人才”及首届中央财经大学“龙马学者”青年教授称号,获得英国物理学会高引用作者奖、多个IEEE 汇刊及Elsevier期刊的杰出审稿人等国际学术荣誉。 研究领域数据挖掘、社交网络、群智计算、深度学习、图神经网络、复杂系统与社会计算 教学工作科研项目1. O2O商务模式下多源异构大数据的挖掘、融合与应用研究. 国家自然科学面上项目, 主持人. 2019.01-2022.12. 2. 社会网络中社团结构内部隐藏模式和动态演化机理研究. 国家自然科学基金青年项目,主持人. 2015.01-2017.12. 3. 面向O2O智能商务的大数据挖掘、融合与应用研究,北京市自然科学基金面上项目,主持人. 2018.01-2020.12. 4. 复杂网络中的优化问题及其在系统生物学中的应用. 国家自然科学基金重大研究计划,主要参与人. 2012.01-2016.12. 5. 面向应急决策支持的非常规突发事件案例推理的理论与方法. 国家自然科学基金重点课题,主要参与人. 2014.01-2016. 论文著作出版专著 [1] 李慧嘉、徐文哲. 《商务营销中的数据挖掘与机器学习: 概念、方法、案例》,北京邮电大学出版社,2023. [2] 卜湛、曹杰、李慧嘉. 《复杂网络与大数据分析》,清华大学出版社,2019. [3] 贾传亮、佘廉、李慧嘉、陈俊霖. 《突发事件案例提示顿悟理论与方法》,科学出版社,2017. [4] Hui-Jia Li, Lin Wang, Zhen Wang et al.《Mathematical modelling of the pandemic of 2019 novel coronavirus》, Frontiers Publishing Group, 2020. 期刊论文代表作( 其中*号为通讯作者,具体请参考Google Scholar: http://scholar.google.com/citations?user=f9TNAbUAAAAJ) [1] Hui-Jia Li*, Zhen Wang, Jie Cao, Jian Pei and Yong Shi. Optimal estimation of low-rank factors via feature level data fusion of multiplex signal systems. IEEE Transactions on Knowledge and Data Engineering, 34(6), 2860-2871, 2022.(CCF A, ESI 高被引, 热点论文“Hot Paper”) [2] Xuelong Li, Marko Jusup, Zhen Wang, Hui-Jia Li, Lei Shi, Boris Podobnik, H. Eugene Stanley, Shlomo Havlin, Stefano Boccaletti. Punishment diminishes the benefits of network reciprocity in social dilemma experiments. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 115 (1), 30-35, 2018. (ESI 高被引, 热点论文“Hot Paper”) [3] Hui-Jia Li*, Zhan Bu, Aihua Li, Zhidong Liu, Yong Shi. Fast and accurate mining the community structure: integrating center locating and membership optimization, IEEE Transactions on Knowledge and Data Engineering, 28(9): 2349- 2362, 2016. (CCF A, ESI 高被引) [4] Hui-Jia Li*, Haobin Cao, Yuhao Feng, Xiaoyan Li. Optimization of graph clustering inspired by dynamic belief systems, IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2023.3274547, 2023 (CCF A) [5] Zhan Bu,Hui-Jia Li, Chengcui Zhang, Jie Cao, and et al. Graph K-means based on Leader Identification, Dynamic Game and Opinion Dynamics. IEEE Transactions on Knowledge and Data Engineering, 32(7), 1348-1361, 2019. (CCF A, ESI 高被引) [6] Hui-Jia Li*, Wenze Xu, Chenyang Qiu, et al. Fast Markov clustering algorithm based on belief dynamics. IEEE Transactions on Cybernetic,53(6), 3716-3725, 2023.(CCF B, ESI 高被引) [7] Hui-Jia Li*, Lin Wang, Zhan Bu, Jie Cao and Yong Shi. Measuring the network vulnerability based on Markov criticality. ACM Transactions on Knowledge Discovery from Data, 16, 2, 1-24, 2021. (CCF B, ESI 高被引) [8] Hui-Jia Li*, Yuhao Feng, Chengyi Xia, Jie Cao. Overlapping graph clustering in attributed networks via generalized cluster potential game. ACM Transactions on Knowledge Discovery from Data, 18(1), 27: 1-26, 2023. (CCF B, ESI 高被引) [9] Hui-Jia Li, Zhan Bu, Zhen Wang, Jie Cao*. Dynamical clustering in electronic commerce systems via optimization and leadership expansion, IEEE Transactions on Industrial Informatics, 16, 8, 5327-5334, 2020. (ESI 高被引) [10] Zhan Bu, Hui-Jia Li*, Zhen Wang, Guangliang Gao, Jie Cao. Dynamic Cluster Formation Game for Attributed Graph Clustering. IEEE Transactions on Cybernetic, 49(1), 328-341, 2019. (CCF B, ESI 高被引) [11] Jinlong Ma, Min Li, Hui-Jia Li*. Traffic dynamics on multilayer networks with different speeds. IEEE Transactions on Circuits and Systems II: Express Briefs, 69, 3, 1697-1701, 2022. (ESI 高被引) [12] Hui-Jia Li, Zhan Bu, Zhen Wang, Jie Cao, et al. Enhance the performance of network computation by a tunable weighting strategy. IEEE Transactions on Emerging Topics in Computational Intelligence, 2(3), 214-223, 2018. [13] Jinlong Ma, Meng Li, Hui-Jia Li*. Robustness of the International Wheat Trade Network. IEEE Transactions on Network Science and Engineering, 11(1), 14-23, 2024. [14] Jinlong Ma, Jiaxin Ma, Hui-Jia Li*. An improved optimal routing strategy on scale-free networks.IEEE Transactions on Circuits and Systems II: Express Briefs, 11: 4578-4582, 2022. [15] Zhan Bu, Guangliang Gao, Hui-Jia Li*, Jie Cao*.CAMAS: A Cluster-Aware Multiagent System for Attributed Graph Clustering. Information Fusion, 37, 10–21, 2017. (CCF B, ESI 高被引) [16] Hui-Jia Li, Lin Wang, Yan Zhang, Matjaz Perc. Optimization of identifiability for efficient community detection. New Journal of Physics, 22, 063035, 2020. (ESI 高被引,入选期刊亮点专栏“Featured Article”及“Most Cited”封面) [17] Hui-Jia Li*, Wenze Xu, Shenpeng Song, Wenxuan Wang, Matjaz Perc*. The dynamics of epidemic spreading on signed networks. Chaos, Solitons and Fractals,151, 111294, 2021 (ESI 高被引) [18] Jie Cao, Zhan Bu, Yuyao Wang, Huan Yang, Jiuchuan Jiang and Hui-Jia Li. Detecting Prosumer-Community Groups in Smart Grids from the Multi-Agent Perspective. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 10.1109/TSMC.2019.2899366, 2019. (ESI 高被引) [19] Hui-Jia Li, Qing Cheng, Lin Wang. Understanding spatial spread of emerging infectious diseases in contemporary populations. Physics of Life Reviews, 2016, 19: 95. [20] Hui-Jia Li, J J. Daniels. Social significance of community structure: Statistical view, Physical Review E, 2015, 91(1): 012801. (入选期刊“Kaleidoscope”亮点专栏) [21] Hui-Jia Li, Zhan Bu, Yulong Li, Zhongyuan Zhang, et al.Evolving the attribute flow for dynamical clustering in signed networks. Chaos, Solitons & Fractals, 110, 20-27, 2018. [22] Hui-Jia Li, Lin Wang. Multi-scale asynchronous belief percolation model on multiplex networks. New Journal of Physics, 21, 015005, 2019. [23] 李慧嘉*,严冠,刘志东,李桂君,章祥荪. 基于动态系统的网络社团线性探测算法. 中国科学: 数学, 47: 241-256, 2017. [24] 李慧嘉*,李爱华,李慧颖. 社团结构迭代快速探测算法. 计算机学报, 40(4): 970-984, 2017. [25] 李慧嘉*,李慧颖,李爱华. 多尺度的社团结构稳定性分析. 计算机学报, 38(2): 301-312, 2015. [26] 李慧嘉*,黄照词,王文璇,夏承遗. 新型双模式加权机制及其对网络计算的影响. 物理学报, 17, 382-396, 2021. [27] 李慧嘉*,贾传亮,佘廉. 基于本体关联网络的非常规突发事件案例快速提示方法. 运筹与管理, 26(12): 68-76, 2017. 学术交流期刊编委(Editor Board): 1. Frontiers in Physics (2019-), Associate Editor 2. Humanities and Social Sciences Communications (2019-), Associate Editor 3. Electronics-Basel (2024-), Section Editor 4. PLOS One (2018-2023), Academic Editor 5. Frontiers in High Performance Computing (2022-), Editor 6. ICSES Transactions on Data Science, Engineering and Technology (2017-), Editor 7. 聊城大学学报(自然科学版) (2018-),期刊编委 8. Mathematical modelling of the pandemic of 2019 novel coronavirus (COVID-19): Patterns, Dynamics, Prediction, and Control , Frontiers in Physics, 2020, Leading Editor 荣誉奖励1. 北京市优秀青年人才(2020) 2. 中央财经大学首届“龙马学者”青年教授(2018,全校14名) 3. 英国物理学会高引用作者奖(IOP Publishing Top Cited Paper Award,2022) 4. IEEE Transactions on Network Science and Engineering 杰出审稿人(2023) 5. Elsevier 杰出审稿人(2018) 6.《物理学报》优秀审稿人(2020年) 7. 北京市先进班集体(中央财经大学管理科学系2016级班主任) 8. 中央财经大学优秀教职工(2015、2017) 9. 中央财经大学管理科学与工程学院优秀科研奖(2018) 10. 中央财经大学骋望奖励基金一流学术成果奖(2018) 11. 中央财经大学涌金奖励基金教师学术奖(2017) 12. 中央财经大学鸿基世业奖励基金优秀教师奖(2015) 13. 中央财经大学管理科学与工程学院优秀教学奖(2017) 14. 中央财经大学管理科学与工程学院优秀班主任奖(2016) 15. 中央财经大学管理科学与工程学院优秀科研奖(2015) 16. 中国科学院数学与系统科学学院院长奖学金(2013) 学术成果 |