实验室文章在《 Applied Soft Computing 》上发表

团队金融大数据分析方向题为 “ Multiple Imputation Method of Missing Credit Risk Assessment Data Based on Generative Adversarial Networks” 的论文被《 Applied  Soft  Computing 》录用。《 Applied  Soft Computing》提倡用软计算的综合观点来解决现实生活中的问题，是中科院一区顶级期刊，影响因子为 8.263 ，该篇论文的发表是团队在金融大数据分析的理论研究上的又一重大突破。

至此，团队今年已有5篇论文相继发表或录用, 分别为：

(1) Feng Zhao, Xiangfei Zhang, Kim-Han Thung, Ning Mao, Seong-Whan Lee, Dinggang Shen. Constructing Multi-view High-order Functional Connectivity Networks for Diagnosis of Autism Spectrum Disorder.  IEEE Transactions on Biomedical Engineering ,2022.（JCR:Q1, IF: 4.538）

(2) Feng Zhao, Zhongwei Han, Dapeng Cheng, Ning Mao, Xiaobo Chen, Yuan Li,Deming Fan,Peiqiang Liu, Hierarchical Synchronization Estimation of Low- and High-Order Functional Connectivity Based on Sub-Network Division  for the Diagnosis of Autism Spectrum Disorder.  Frontiers in Neuroscience, 2022.（JCR:Q2, IF: 4.667）

(3) Feng Zhao, Xinning Li, Yating Gao, Ying Li, Zhiquan Feng, Caiming Zhang. Multi-layer features ablation of BERT model and its application in stock trend prediction.  Expert Systems with Applications.2022.06.（JCR:Q1,IF: 8.665）

(4) Feng Zhao,Na Li, Hongxin Pan, Xiaobo Chen, Yuan Li, Haicheng Zhang, Ning Mao, Dapeng Cheng.Multi-view feature enhancement based on self-attention mechanism graph convolutional network for autism spectrum disorder diagnosis.  Frontiers in Human Neuroscience.2022.07.（JCR:Q3, IF: 3.473） 

(5) Feng Zhao, Yan Lu, Xinning Li, Lina Wang, Yingjie Song, Deming Fan, Caiming Zhang, Xiaobo Chen. Multiple Imputation Method of Missing Credit Risk Assessment Data Based on Generative Adversarial Networks. Applied  Soft  Computing.2022.07.（JCR:Q1, IF: 8.263）

    这些论文的发表，说明团队的科研能力稳步提升，学术成果输出高质高效，团队成员勇于创新、勤奋刻苦。今后，实验室团队将继续稳扎稳打，致力于科研探索。