[1] Yadi Wang, Jun Wang, and Hangjun Che, Two-timescale neurodynamic approaches to supervised feature selection based on alternative problem formulations, Neural Networks, 142: 180-191,2021. (SCI中科院二区 , CCF B类期刊)； [2] Yadi Wang, Xiaoping Li, and Jun Wang. A neurodynamic optimization approach to supervised feature selection via fractional programming. Neural Networks, 136: 194–206, 2021. (SCI中科院二区 , CCF B类期刊)； [3] Xiaoping Li, Dongyuan Pan，Yadi Wang, and Ruben Ruiz, Scheduling multi-tenant cloud workflow tasks with resource reliability, SCIENCE CHINA Information Sciences (SCIS), Accept.（CCF A类期刊）; [4] Xiaoping Li, Yadi Wang*, and Ruben Ruiz. A survey on sparse learning models for feature selection, IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2020.2982445. (SCI中科院一区, TOP期刊, CCF B类期刊, IF 11.079)； [5] Yadi Wang, Xiaoping Li, and Ruben Ruiz. Weighted general group lasso for gene selection in cancer classification, IEEE Transactions on Cybernetics, 49(8): 2860- 2873, 2019. (SCI中科院一区, TOP期刊, CCF B类期刊)； [6] Yadi Wang, Xin-Guang Yang, and Yongjin Lu. Informative gene selection for microarray classification via adaptive elastic net with conditional mutual information, Applied Mathematical Modelling, 71: 286-297,2019. (SCI中科院一区, TOP期刊)； [7] Juntao Li, Yadi Wang*, Huimin Xiao, and Cunshuan Xu. Gene selection of rat hepatocyte proliferation using adaptive sparse group lasso with weighted gene co-expression network analysis, Computational Biology and Chemistry, 80: 364-373, 2019. (SCI)； [8] Yadi Wang, Xin-Guang Yang, and Xingjie Yan, Dynamics of 2D Navier-Stokes equations with Rayleigh's friction and distributed delay, Electronic Journal of Differential Equations, 80: 1-18, 2019. (SCI)； [9] Yadi Wang, Xiaoping Li, Ruben Ruiz and Xia Zhu. Feature selection via adaptive spectral clustering based on joint mutual information, IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD), pp. 164-169, 2019. (EI, CCF C类会议) ； [10] Yadi Wang, Xiaoping Li, and Jun Wang, A Neurodynamic approach to L0-constrained optimization, The 12th International Conference on Advanced Computational Intelligence (ICACI2020), pp. 14-16, 2020.（EI）; [11] Juntao Li, Yadi Wang, Yimin Cao, Cunshuan Xu. Weighted doubly regularized support vector machine and its application to microarray classification with noise. Neurocomputing, 173(P3): 595-605, 2015. (SCI 中科院二区, CCF C类期刊)； [12] Juntao Li, Yadi Wang, Xin-Guang Yang. Pullback attractors of 2D Navier-Stokes equations with weak damping, distributed and continuous delay, Mathematical Methods in the Applied Sciences, 39(12): 3186-3203, 2016. (SCI)； [13] Juntao Li, Yadi Wang, Huimin Xiao. Consensus seeking of multi-agent systems from an iterative learning perspective, International Journal of Control, Automation and Systems, 14(5): 1173–1182, 2016. (SCI)； [14] Juntao Li, Yadi Wang, Xin-Guang Yang. Pullback attractors of 2D Navier-Stokes equations with weak damping and continuous delay. Boundary Value Problems, 2015(1):3186-3203, 2015. (SCI)； [15] Juntao Li, Yimin Cao, Yadi Wang, Huimin Xiao. Online learning algorithms for double-weighted least squares twin bounded support vector machines. Neural Processing Letters, 45(1):1-21, 2016. (SCI)； [16] Juntao Li, Yadi Wang*. On exponential convergence of coordination learning control for multi-agent formation. Journal of Computational Information Systems, 11(11):4113-4122,2015. (EI期刊) ； [17] Juntao Li, Yadi Wang, Yimin Cao, et al. Solution path algorithm for the fuzzy weighted doubly regularized support vector machine. Proceedings of the 2015 27th Chinese Control and Decision Conference, 5579-5583, 2015. (EI会议). |
