博士生导师  
    硕士生导师
所在单位:信息管理系
学历:研究生(博士)毕业
性别:女
学位:博士学位
在职信息:在职
毕业院校:合肥工业大学
学科:管理科学与工程其他专业
企业管理
 
 
           
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            王金政,杨颖,余本功. 基于多头协同注意力机制的客户投诉文本分类模型[J]. 数据分析与知识发现,2023,7(1):128-137.  ISSN: 2096-3467 
         
    
 
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            Ying Yang, Ting Gao, Gencheng Xu, and Gang Wang. An Evidential Reasoning Rule-Based Ensemble Learning Approach for Evaluating Credit Risks with Customer Heterogeneity. International Journal of Information Technology & Decision Making, 2023.
         
    
 
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            Ying Yang, Lingfeng Zhang, Gencheng Xu, Gang Ren, Gang Wang, An evidence-based multimodal fusion approach for predicting review helpfulness with human-AI complementarity,Expert Systems with Applications,Volume 238, Part C,2024,121878,ISSN 957-4174,https://doi.org/10.1016/j.eswa.2023.121878.
         
    
 
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            Data-Driven Evidential Reasoning Method for Evaluating e-Government Performance[J]. International Journal of Information Technology & Decision Making, 2021,20(1): 261-285
         
    
 
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            Mediating Role of Trust Between Leader Communication Style and Subordinate’s Work Outcomes in Project Teams, Engineering Management Journal, 2020, 32:3, 152-165.
         
    
 
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            Financial distress prediction: Regularized sparse-based Random Subspace with ER aggregation rule incorporating textual disclosures. Applied Soft Computing, 90, 106152.
         
    
 
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            杨颖;王珺;王刚;.基于改进的Random Subspace的客户投诉分类方法[J].计算机工程与应用,2020,13:230-235.
         
    
 
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            Yang Y, Wang J, Wang G, Chen Y W. Research and development project risk assessment using a belief rule-based system with random subspaces, Knowledge-Based Systems,2019,178:51-60.
         
    
 
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            Yang Y, Fu C, Chen Y W, et al. A belief rule based expert system for predicting consumer preference in new product development [J]. Knowledge-Based Systems, 2016,94:105-113.
         
    
 
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            Yang Y, Xu D L. A methodology for assessing the effect of portfolio management on NPD performance based on Bayesian network scenarios[J]. Expert Systems, 2017, 34(2):1-10.
         
    
 
    
 
            
 
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