部分论文及著作列表(Publications)
[1] 李铁,寇纲,彭怡. 基于工商注册信息的中小微企业信用评价研究[J]. 管理科学学报 (2023,已录用)
[2] Tie Li, Gang Kou, Yi Peng. Improving malicious URLs detection via feature engineering: Linear and nonlinear space transformation methods [J]. Information Systems (v.91, 2020, SCI)
[3] Tie Li, Gang Kou, Yi Peng, Philip S. Yu. An Integrated Cluster Detection, Optimization and Interpretation Approach for Financial Data [J]. IEEE Transactions on Cybernetics (2021.9,DOI: 10.1109/TCYB.2021.3109066, SCI, 中科院1区, IF: 19.1)
[4] Tie Li, Gang Kou, Yi Peng. A New Representation Learning Approach for Credit Data Analysis [J]. Information Sciences (2023.1, DOI: 10.1016/j.ins.2023.01.068, SCI, 中科院1区)
[5] Tie Li, Gang Kou, Yi Peng, and Yong Shi. Classifying with adaptive hyper-spheres: An incremental classifier based on competitive learning [J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems (v.50, no.4, 2020, SCI, 中科院1区, IF: 13.5)
[6] Tie Li, Gang Kou, Yi Peng, Philip S. Yu. A Fast Diagonal Distance Metric Learning Approach for Large-Scale Datasets [J]. Information Sciences (2021.4, DOI: 10.1016/j.ins.2021.04.077, SCI, 中科院1区)
[7] Xiangrui Chao, GangKou, Tie Li, Yi Peng. Jie Ke versus AlphaGo: A ranking approach using decision making method for large-scale data with incomplete information [J]. European Journal of Operational Research 265.1 (2018): 239-247. (SCI)
[8] Yongming Song, Guangxu Li, Tie Li, Yanhong Li. A purchase decision support model considering consumer personalization about aspirations and risk attitudes [J]. Journal of Retailing and Consumer Services (v.63, 2021.11, SCI)
[9] Gan Wan, Gang Kou, Tie Li, et al. Pricing policies in a Retailer Stackelberg O2O green supply chain [J]. Sustainability (v.12, no.8, 2020,SCI, SSCI)
[10] Fang Da, Chao Peng, Haomin Wang, Tie Li*, A risk detection framework of Chinese high-tech firms using wide & deep learning model based on text disclosure [C].//International Conference on Information Technology and Quantitative Management 2021(ITQM2021)(EI国际会议)
[11] Tie Li, Yi Peng, Yong Shi, Gang Kou. Study on Multi-Agent Based Simulation of Team Machine Learning[C].//Procedia Computer Science 91 (2016): 847-854. (EI国际会议)