1.cao w, zhu w, wang w, et al. a deep coupled lstm approach for usd/cny exchange rate forecasting[j]. ieee intelligent systems, 2020, 35(2): 43-53. 2.w. cao, w. zhu and y. demazeau, multi-layer coupled hidden markov model for cross-market behavior analysis and trend forecasting[j]. ieee access, vol. 7, pp. 158563-158574, 2019. 3.操玮,任思儒.基于lstm与garch族混合模型的人民币汇率波动预测研究[j].计算机应用研究,2020,37(s1):79-82. 4.操玮,李灿,贺婷婷,等. 基于集成学习的中国p2p网络借贷信用风险预警模型的对比研究[j]. 数据分析与知识发现, 2018, 2(10): 65-76. 5.操玮,李灿,朱卫东. 多源信息融合视角下中小企业财务危机预警研究——基于集成学习的数据挖掘方法[j]. 财会通讯, 2018, no.769(5): 95-99, 129. 6.wei cao, longbing cao (2015). financial crisis forecasting via coupled market state analysis. ieee intelligent systems, vol 30, pp.18-25. (sci,ssci) 7.wei cao, yves demazeau, longbing cao (2015). financial crisis and global market couplings. 2015 ieee international conference on data science and advanced analytics(dsaa 2015). (ei) 8.wei cao, liang hu, longbing cao (2015). deep modeling complex couplings within financial markets. in 'proceedings of the the twenty-ninth aaai conference on artificial intelligence (aaai-15)'. (ccf推荐a类顶级会议,ei) 9.wei cao, longbing cao, yin song (2013). coupled market behavior based financial crisis detection. the 2013 international joint conference on neural networks (ijcnn2013), pp. 1-8. (ei) 10.wei cao, cheng wang, longbing cao (2012). trading strategy based portfolio selection for actionable trading agent. agents and data mining interaction (admi 2012), pp. 191-202. (ei) 11.liang hu, wei cao, jian cao, guandong xu, longbing cao, zhiping gu (2014). bayesian heteroskedastic choice modeling on non-identically distributed linkages. the ieee international conference on data mining 2014 (icdm 2014), pp.851-856. (ei)
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