研究图解(Research Illustration)
1.高光谱图像分类(Hyperspectral Image Classification)
针对高光谱等遥感图像进行分类任务，同时关注其在小样本、标签噪声等特定环境下的解决方案。（该方向需要进行较多实验，与其他CV任务类似，运气不好的话需要较长周期）
2.多源信息融合(Multi-sourced Information Fusion)
基于D-S证据理论等不确定信息处理方法，对信息进行不确定性建模、融合、冲突处理以及决策。（该方向需要较多推导，无需大量实验，出成果快）
3.跨模态遥感图像融合(Multi-modal Remote Sensing Images Fusion)
基于深度学习等先进技术，结合多源信息融合思想，实现跨模态遥感图像的特征对齐、融合等。（该方向可偏实验亦可偏推导，视具体小方向而定）
PS: 图片可能需连接VPN后刷新尝试
2025
- Ding K, Li M, Zhang Q. A location centrality of nodes in complex networks[J]. International Journal of Modern Physics C, 2025.
- Li L, Rong P, Li M*. Combining Permutation Mass Functions based on distance and entropy of Random Permutation Set[J].Information Sciences, 2025, 692: 121657.
- Feng D, Li M, Zhang Q. Node clustering in complex networks based on structural similarity[J]. Physica A: Statistical Mechanics and its Applications, 2025, 658: 130274.
2024
- Zhang Z, Li M, Zhang Q. A clustering coefficient structural entropy of complex networks[J]. Physica A: Statistical Mechanics and its Applications, 2024, 655: 130170.
- Li M, Li L, Zhang Q. Information Fusion and Decision-Making Utilizing Additional Permutation Information[J]. Mathematics, 2024, 12(22): 3632.
- Zhang Q, Deng R, Ding K, et al. Structural analysis and the sum of nodes’ betweenness centrality in complex networks[J]. Chaos, Solitons & Fractals, 2024, 185: 115158.
- Li M, Li L, Zhang Q. A new distance measure between two basic probability assignments based on penalty coefficient[J]. Information Sciences, 2024, 677: 120883.
- Li M, Zhou M, Feng D, et al. Range changeable local structural information of nodes in complex networks[J]. International Journal of Modern Physics C, 2024, 35(01): 2450006.
2022
- Zhang Q, Li M*. A betweenness structural entropy of complex networks[J]. Chaos, Solitons & Fractals, 2022, 161: 112264.
- Li M. Robust classification models for hyperspectral images[D]. Ghent University, 2022.（PhD Thesis）
2021
- Li M, Huang S, Pižurica A. The Impact of Non-uniform Label Noise on the Classification of Hyperspectral Images[C]//2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP). IEEE, 2021: 326-330.
- Li M, Huang S, Pizurica A. The impact of label noise on the classification models for hyperspectral images[J]. IMAGE PROCESSING & COMMUNICATIONS, 2021, 24(1): 1-9.
- Li M, Huang S, Pizurica A. A study on the label noise impact on the hyperspectral image classification[C]//IEICE Information and Communication Technology Forum 2020 (ICTF 2020). IEICE Europe Section, 2021, 64.
2020
- Li M, Huang S, De Bock J, et al. A robust dynamic classifier selection approach for hyperspectral images with imprecise label information[J]. Sensors, 2020, 20(18): 5262.
2019
- Li M, Huang S, Piˇzurica A. Robust dynamic classifier selection for remote sensing image classification[C]//2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP). IEEE, 2019: 101-105.
- Li M, De Bock J, De Cooman G. Dynamic classifier selection based on imprecise probabilities: A case study for the naive bayes classifier[C]//Uncertainty Modelling in Data Science. Springer International Publishing, 2019: 149-156.
2018
- Li M, Zhang Q, Deng Y. Evidential identification of influential nodes in network of networks[J]. Chaos, Solitons & Fractals, 2018, 117: 283-296. (Hignly Cited Paper)
- Zhang Q, Li M, Deng Y. Measure the structure similarity of nodes in complex networks based on relative entropy[J]. Physica A: Statistical Mechanics and its Applications, 2018, 491: 749-763.(Hignly Cited Paper)
2017
- Li M, De Bock J, De Cooman G. Imprecise Classification of the Gram Status of the Causal Pathogen of Clinical Mastitis[C]//The Tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA’17). 2017.
2016
- Zhang Q, Li M*, Deng Y. A new structure entropy of complex networks based on nonextensive statistical mechanics[J]. International Journal of Modern Physics C, 2016, 27(10): 1650118.
- Li M, Zhang Q, Deng Y. A new probability transformation based on the ordered visibility graph[J]. International Journal of Intelligent Systems, 2016, 31(1): 44-67.
- Li M, Hu Y, Zhang Q, et al. A novel distance function of D numbers and its application in product engineering[J]. Engineering Applications of Artificial Intelligence, 2016, 47: 61-67.
2015
- Cao L, Li M, Sadiq R, et al. Developing environmental indices using fuzzy numbers power average (FN-PA) operator[J]. International Journal of System Assurance Engineering and Management, 2015, 6: 139-149.
- Zhang Q, Luo C, Li M, et al. Tsallis information dimension of complex networks[J]. Physica A: Statistical Mechanics and its Applications, 2015, 419: 707-717.
2014
- Li M, Lu X, Zhang Q, et al. Multiscale probability transformation of basic probability assignment[J]. Mathematical Problems in Engineering, 2014, 2014(1): 319264.
- LI M, DENG X, DENG Y. LDD-SCORE: A NEW INDEX FOR TOPOLOGY PREDICTION OF TRANSMEMBRANE PROTEINS BASED ON DATA FUSION[J]. ICIC express letters. Part B, Applications: an international journal of research and surveys, 2014, 5(3): 757-762.
- Li M, Deng X, Deng Y. ETPT: A data fusion based topology prediction of transmembrane[J]. JOURNAL OF INFORMATION &COMPUTATIONAL SCIENCE, 2014, 11(3): 945-952.
- Li M, Lu X, Zhang Q, et al. Distance function of D numbers based on exclusive degree[J]. JOURNAL OF INFORMATION &COMPUTATIONAL SCIENCE, 2014, 12(4): 1541-1548.