电子邮箱:

limengmeng@zzu.edu.cn

办公室:

郑州大学电气与信息工程学院1216

研究方向:

脑机接口、神经解码与调控、机器学习

教育背景

2017/09-2022/06，郑州大学，电气工程学院，博士

2021/04-2022/04，德国波鸿鲁尔大学，认知神经科学研究所，联合培养博士

2014/09-2017/06，郑州大学，电气工程学院，硕士

2010/09-2014/06，郑州大学，电气工程学院，学士

工作经历

2022/10-至今，郑州大学，电气与信息工程学院，讲师

学术兼职

Ø  河南省康复医学会智能装备与产品转化分会委员

Ø  Member of   Institute of Electrical and Electronics Engineers (IEEE)、Member of Asia   Pacific Neural Network Society (APNNS)

Ø  中国人工智能学会会员、中国自动化学会会员、中国计算机学会会员、中国仿真学会会员、中国神经科学学会会员

Ø  Engineering   Applications of Artificial Intelligence（中科院一区TOP，IF: 8.0）、Computers in   Biology and Medicine（中科院一区，IF:   7.7）、Machine   Learning-Science and Technology（中科院二区，IF: 6.8）、Physics in   Medicine and Biology（中科院三区，IF:   3.5）、Biomedical   Physics & Engineering Express（ESCI收录，IF: 1.4）等国际学术期刊审稿人

Ø  PC Member of the   26-30th International Conference on Neural Information Processing (ICONIP   2019-2023, Austria, Thailand, Indonesia, India and China)

Ø  Reviewer of the 26-30th   International Conference on Neural Information Processing (ICONIP 2019-2023,   Austria, Thailand, Indonesia, India and China), and 2021-2023 China   Automation Congress (CAC 2021-2023, Kunming, Xiamen and Chongqing)

奖励与荣誉

Ø  2023年，河南省教育厅优秀科技论文一等奖

Ø  2023年，河南省优秀博士学位论文

Ø  2022年，河南省优秀毕业研究生

Ø  2021年，河南省第五届自然科学学术奖优秀学术论文三等奖

Ø  2020年，博士研究生国家奖学金

Ø  2020年，国家建设高水平大学公派研究生奖学金

Ø  2020年，郑州大学“青年榜样”荣誉称号

科研项目

Ø  （主持）国家自然科学基金青年项目（62301496），2024.01-2026.12

Ø  （主持）国家资助博士后研究人员计划项目（GZC20232447），2024.01-2025.12

Ø  （参与）国家自然科学基金面上项目（61673353），2017.01-2020.12

Ø  （参与）国家自然科学基金青年项目（61803342），2019.01-2021.12

Ø  （参与）国家自然科学基金青年项目（61803343），2019.01-2021.12

代表文章

[1]   Mengmeng Li†, Haofeng Wang†, Lifang   Yang, You Liang, Zhigang Shang*, Hong Wan*. Fast hybrid dimensionality reduction   approach for classification based on feature selection and grouped feature   extraction. Expert Systems With Applications, 2020, 150: 113277.（中科院一区TOP，JCR Q1）

[2]   Suchen Li, Zhuo Tang, Lifang Yang, Mengmeng Li*, Zhigang   Shang*. Application of deep reinforcement learning for spike sorting under   multi-class imbalance. Computers in Biology and Medicine. 2023, 164: 107253.（中科院一区，JCR Q1）

[3]   Mengmeng Li†, You Liang†, Lifang Yang,   Haofeng Wang, Zhongliang Yang, Kun Zhao, Zhigang Shang*, Hong Wan*. Automatic   bad channel detection in implantable brain-computer interfaces using   multimodal features based on local field potentials and spike signals.   Computers in Biology and Medicine. 2020, 116: 103572.（中科院二区，JCR Q1）

[4]   Yang Lifang†, Jin Fuli†, Yang Long, Li Jiajia, Li Zhihui, Li   Mengmeng*, Shang Zhigang*. The Hippocampus in Pigeons Contributes to the   Model-Based Valuation and the Relationship between Temporal Context States.   Animals. 2024; 14(3):431.（中科院二区，JCR Q1）

[5]   Yang Long, Chen Xi, Yang Lifang, Li Mengmeng*, Shang   Zhigang*. Phase–Amplitude Coupling between Theta Rhythm and High-Frequency   Oscillations in the Hippocampus of Pigeons during Navigation. Animals. 2024;   14(3):439.（中科院二区，JCR Q1）

[6]   Jin Fuli†, Yang Lifang†, Yang Long, Li Jiajia, Li Mengmeng*,   Shang Zhigang*. Dynamics Learning Rate Bias in Pigeons: Insights from   Reinforcement Learning and Neural Correlates. Animals. 2024; 14(3):489.（中科院二区，JCR Q1）

[7]   Mengmeng Li, Jiantao Fan, Lubo Lin,   Zhigang Shang*, Hong Wan*. Elevated gamma connectivity in nidopallium   caudolaterale of pigeons during the spatial path adjustment. Animals, 2022,   12(8):1019.（中科院二区，JCR Q1）

[8]   Mengmeng Li, Jiantao Fan, Shuguan   Cheng, Lifang Yang, Long Yang, Liaofeng Wang, Zhigang Shang*, Hong Wan*.   Enhanced hippocampus-nidopallium caudolaterale connectivity during route   formation in goal-directed spatial learning of pigeons. Animals, 2021, 11(7):   2003.（中科院二区，JCR Q1）

[9]   Mengmeng Li, Jiantao Fan, Shuguan   Cheng, Zhigang Shang*, Hong Wan*. Disarrangement and reorganization of the   hippocampal functional connectivity during the spatial path adjustment of   pigeons. BMC Zoology, 2022, 7: 54.（中科院三区，JCR   Q1）

[10]             Mengmeng Li, Zhigang Shang*, Kun Zhao,   Shuguan Cheng, Hong Wan*. The role of Hp-NCL network in goal-directed routing   information encoding of bird: a review. Brain Sciences, 2020, 10(9): 617.（中科院三区，JCR Q2）

[11]             Mengmeng Li, Shuguan Cheng, Jiantao   Fan, Zhigang Shang*, Hong Wan*. Many heads are better than one: A multiscale   neural information feature fusion framework for spatial route selections   decoding from multichannel neural recordings of pigeons. Brain Research   Bulletin, 2022, 184:1-12.（中科院三区，JCR Q2）

[12]             Mengmeng Li†, Zhigang Shang†*,   Zhongliang Yang, Yong Zhang, Hong Wan*. Machine Learning Methods for MRI   Biomarkers Analysis of Pediatric Posterior Fossa Tumors. Biocybernetics and   Biomedical Engineering. 2019, 39(3):765-774.（中科院四区，JCR   Q2）

[13]             Mengmeng Li†, Haofeng Wang†, Zhigang   Shang*, Zhongliang Yang, Yong Zhang, Hong Wan*. Ependymoma and Pilocytic   Astrocytoma: Differentiation Using Radiomics Approach Based on Machine   Learning. Journal of Clinical Neuroscience, 2020, 78: 175-180.（中科院四区，JCR Q3）

[14]             Long Yang†, Erteng Ma†, Lifang Yang, Mengmeng Li*,   Zhigang Shang*. Decoding Typical Flight States Based on Neural Signals from   the Midbrain Motor Nuclei of Pigeons. Journal of Integrative Neuroscience.   2024.（中科院四区，JCR Q4）

[15]             Shuguan Cheng†, Mengmeng Li†, Jiantao Fan, Zhigang Shang,   and Hong Wan*, Decoding route selection of pigeon during goal-directed   behavior: A joint spike-LFP study. Behavioural Brain Research. 2021,   409:113289.（中科院二区，JCR Q2）

[16]             Mengmeng Li, Zhigang Shang, Lifang   Yang, Haofeng Wang, Kun Zhao, Hong Wan. From signal to image then to feature:   Decoding pigeon behavior outcomes during goal-directed decision-making task   using time-frequency textural features [C]. Proceedings of the 26th International   Conference on Neural Information Processing. Berlin: Springer, Cham, 2019.   707-717. (EI，CCF-C类)

[17]             李蒙蒙, 杨龙, 杨莉芳, 刘玉怀, 万红, 尚志刚*. 鸽子在动物机器人领域的研究进展[J]. 中国实验动物学报, 2024, 32(2).（中文核心）

[18]             Guillermo Hidalgo Gadea, Noemi Rook, Victor Ludwig, Mengmeng   Li, Masahiro Inda, John Michael Tuff, Tobias Otto, Roland Pusch, Onur   Güntürkün. 3d tracking of freely moving pigeons reveals behavioral   differences during space and color discrimination tasks. Program No. 240.05.   2022 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience,   November 12-16, 2022.

其他信息

Ø  学术报告

[1]   2021   Online Academic Seminar of Chinese CSC Students and Scholars in the   German-French Region, Aug 08, 2021, Online.（Oral报告）

[2]   2021   Biopsychology Research Colloquium, Ruhr-University Bochum, Jun 21, 2021,   Germany.（Oral报告）

[3]   2021   5th HBP Student Conference on Interdisciplinary Brain Research (HBPSC), Feb   04, 2021, Online.（Oral报告）

[4]   2018   11th International Symposium on Computational Intelligence and Design   (ISCID), Dec 09, 2018, Hangzhou, China.（Oral报告）

[5]   2023 16th   Annual Meeting of Chinese Neuroscience Society & The 2nd CJK   International Meeting (CNS 2023), Zhuhai, China, July 27-30, 2023.（Poster报告）

[6]   2019   26th International Conference on Neural Information Processing (ICONIP), Dec   15, 2019, Sydney, Australia.（Poster报告）

[7]   2019   12th International Congress on Image and Signal Processing, BioMedical   Engineering and Informatics (CISP-BMEI), Oct 20, 2019, Suzhou, China.（Poster报告）

[8]   2019   3rd HBP Student Conference on Interdisciplinary Brain Research (HBPSC), Feb   07, 2019, Ghent, Belgium.（Poster报告）

Ø  欢迎联系

欢迎对脑机接口、神经解码与调控和机器学习感兴趣的同学联系，我们一道聆听神经元的交响乐，探索脑机智能的融合！