发表论文（近5年）
[1]Ling Li, Wanying Liu, Hongguo Zhang, Yuting Jiang, Xiaonan Hu, Ruizhi Liu，Down Syndrome Prediction Using a Cascaded Machine Learning Framework Designed for Imbalanced and Feature-correlated Data[J].IEEE Access. v 7(12), p 97582-97593, 2019.SCI检索
[2]Ling Li, Sida Dai, Zhiwei Cao, Jinghui Hong, Shu Jiang & Kunmeng Yang,Using Improved Gradient Boosted Decision Tree Algorithm Based On Kalman Filter (GBDT-KF) In Time Series Prediction[J], The Journal of Supercomputing, DOI 10.1007/s11227-019-03130-y SCI检索
[3]Ling Li, Haiyan Tang,A Time-efficient Algorithm of Task Offloading for Computation-Intensive Applications in Mobile Cloud Computing[J],ICIC Express Letters,Part B:Applications,7(9):2016:1863-1869.EI检索
[4]Ling Li,Yingwei Song,et al. A novel FCM algorithm incorporating spatial information for color image segmentation [J], International Journal of Signal Processing, Image Processing and Pattern Recognition, vol 9,No 8 August 2016.EI检索
[5]Li Ling,Song Ying-Wei,Yang Xiu-Hua,Chen Yi-Jie.Image semantic annotation of CMRM based on graph learning[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2016(1).EI检索
[6]Li Ling, Fu Yuan, Optimization Data Redundancy Strategy Based on HDFS [J]. Journal of Information & Computational Science 12(16),2015:6089-6098,2015.EI检索
[7]Ling Li,Wantong Li,et al. Research on Semantic Web Based on Hadoop[J],Journal of Computational Information Systems, v10, n24, p10731-10738, December 15, 2014.EI检索
[8]Li Ling, CHEN He. A Fast Ant Colony Optimization Based Embedding Algorithm for Virtual Network [J].Journal of Computational Information Systems ,2013.9.EI检索
发明专利（近5年）
1.计算密集型任务向云中卸载的方法，专利号：ZL201610213792.X,李玲，汤海燕，陈典书，杨秀华，王祝琳，范闯闯，骆宝童，宋莹炜，高华照，张海蓉，授权公告日：2019.3.22，授权公告号：CN105786610B
2.命名数据网络下的一种实时流数据分发的方法，专利号：专利号：ZL201710095399.X,李玲，范闯闯，杨秀华，汤海燕，骆宝童，高华照，佟余琪，顾琳，渠云龙，刘丹，授权公告日：2020.2.14，授权公告号：CN106878310B
3.基于多维高斯分布贝叶斯分类的癌症复发预测系统，专利申请号：201810416949.8
4.基于机器学习的孕前期及孕中期唐氏综合征筛查方法，专利申请号：201810436034.3
5.一种基于深度学习的小样本图像识别方法，专利申请号：201910065984.4
6.一种基于深度学习的医学精子图片识别系统，专利申请号：201910940562.7 |
