• 姓名: 董莉
  • 职称: 讲师
  • 学位: 博士
  • 湖南工商大学
  • 计算机学院

职称/职务/学位:讲师,物联网系主任,博士

研究方向与领域:计算机科学,电子信息工程

主要学习和工作经历:

学习经历:

2013年9月-2018年5月:中南大学,地球探测与信息技术,工学博士

2004年9月-2007年7月:湖南师范大学,电路与系统,工学硕士

2000年9月-2004年7月:湖南师范大学,电子信息工程,工学学士

工作经历:

2018年9月-至今:湖南工商大学

主要教学科研成果:

[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, 2018, 25(5): 1195-1212. Doi: 10.1007/s11771-018-3818-4

[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. (in Chinese),60(8): 3264-3277, Doi:10.6038/cjg20170831.

[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 Sets and Systems,2018, 337:93-112. Doi:10.1016/j.fss.2017.07.009. (通信作者,2017年IF: 2.675, 中科院1区)

[4] Jiang, F.,Dong L., Dai Q., Electrical resistivity imaging inversion: An ISFLA trained kernel principal component wavelet neural network approach [J].Neural Networks,2018, 104: 114-123 Doi: 10.1016/j.neunet.2018.04.012. (通信作者,2017年IF: 7.197中科院1区).

[5] Jiang, F.,Dong L., Dai Q., Electrical resistivity imaging inversion based on a hybrid CCSFLA-MSVR method[J]. Neural Processing Letters, 2020, 51(3): 2871-2890. Doi: 10.1007/s11063-020-10229-4 (通信作者,IF:2.591 中科院3区)

[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, 2020,5,1-12 DOI: 10.1109/TCYB.2020.2990319 (通信作者,IF:10.387中科院1区)

[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, pp. 6252-6265, July 2020, doi: 10.1109/JIOT.2019.2954503. (IF: 9.515中科院1区)

[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(通信作者,IF: 9.515中科院1区)

[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]. IEEE network, 2020 (通信作者,IF: 8.808中科院1区)