董莉，女，湖南工商大學講師
基本介紹
人物經歷,主要課題,學術研究,
人物經歷
中南大學 博士研究生畢業
2018.9-今，湖南工商大學講師
主要課題
主持國家自然科學基金，湖南省自然科學基金
學術研究
主要論文：
[1] Dong L, Li D, Jiang F. A two-stage CO-PSO minimum structure inversion using CUDA for extracting IP information from MT data[J]. Journal of Central South University,
[2] Dong L, Li D Q, Jiang F B. 2017. A new method based on improved SFLA for IP information extraction from CSAMT signal.Chinese J. Geophys.
[3] Jiang F, Dong L, Dai Q, et al. Using wavelet packet denoising and ANFIS networks based on COSFLA optimization for electrical resistivity imaging inversion [J]. Fuzzy Se
[4] Jiang, F., Dong L., Dai Q., Electrical resistivity imaging inversion: An ISFLA trained kernel principal component wavelet neural network approach [J]. Neural Networks,
[5] Jiang, F., Dong L., Dai Q., Electrical resistivity imaging inversion based on a hybrid CCSFLA-MSVR method[J]. Neural Processing Letters,
[6] Jiang, F., Dong L., Dai Q., Designing a mixed multi-layer wavelet neural network for solving ERI inversion problem with massive amounts of data: A hybrid STGWO-GD learning approach [J]. IEEE Transactions on Cybernetics,
[7] F. Jiang, K. Wang, L. Dong, C. Pan, W. Xu and K. Yang, "Deep-Learning-Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks," inIEEE Internet of Things Journal, vol. 7, no. 7,
[8] Feibo Jiang;Kezhi Wang;Li Dong;Cunhua Pan;Kun Yang. Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks [J]. IEEE Internet of Things Journal, 2020. Doi: 10.1109/JIOT.2020.2988457
[9] Feibo Jiang;Kezhi Wang;Li Dong; C. Pan; W. Xu and K. Yang. AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment - Challenges and Solutions [J]
