[1] Xiaoding Guo, Hongli Zhang, Lin Ye, Shang Li, "Ten La: An Approach based on Controllable Tensor Decomposition and Optimized Lasso Regression for judgement Prediction of Legal Cases," Applied intelligence, 18 pages, 2020. (JCR: 2区，IF: 3.325, SCI) [2] Xiaoding Guo, Hongli Zhang, Lin Ye, Shang Li, “TdBrnn: An Approach to Learning Users' Intention to Legal Consultation with Normalized Tensor Decomposition and Bi-LSTM,” CMC: Computers, Materials & Continua, 22 pages, 2019. (JCR: 1区，IF: 4.89, SCI) [3] Xiaoding Guo, Hongli Zhang, Lin Ye, Shang Li, “RnRTD: Intelligent Approach Based on the Relationship-Driven Neural Network and Restricted Tensor Decomposition for Multiple Accusation Judgment in Legal Cases,” Computational Intelligence and Neuroscience, vol. 2019, 18 pages, 2019. (JCR: 1区，IF: 2.284, SCI) [4] Xiaoding Guo, Hongli Zhang, Lin Ye, Shang Li, “Learning Users’ Intention of Legal Consultation through Pattern-Oriented Tensor Decomposition with Bi-LSTM,” Wireless Communications and Mobile Computing, vol. 2019, 16 pages, 2019. (JCR: 2区，IF: 1.819, SCI) [5] Shang Li, Hongli Zhang, Lin Ye; Shen Su, Xiaoding Guo, Haining Yu, Binxing Fang. Prison “Term Prediction on Criminal Case Description with Deep Learning.” Computers, Materials & Continua, 2020, 62(3): 1217-1231(JCR: 1区，IF: 4.89, SCI)
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1. 基于规范化层次张量分解的智能研判方法研究，河南省高等学校重点科研项目（23A520026），2023-01至2024-12，主持； 2. 基于高阶互联张量分解的情景感知智能判案方法研究及应用，河南省重点研发与推广专项，2023-01至2024-12，主持； 3. 基于虚拟机自省的云安全防护关键技术研究, 国家自然科学基金面上项目（61872111），2019-01至2022-12，主要成员； 4. 高维自适应结构稀疏特征选择模型及其应用研究，河南省科技发展计划项目(222102210151), 2022-01至2023-12，主要成员； 5. 基于人工智能+区块链的5G网络行为监管关键技术研究，河南省重点研发与推广专项（222102210040），2022-01至2023-12，主要成员； 6. 基于知识图谱的案例特征匹配检索及法律法规推荐、基于深度网络与知识本体库的法律咨询语义识别与智能交互技术、基于语义分析的法律服务案例库建设与搜索技术等多项国家重点研发计划课题（2018YFC0830602，2018YFC0830903，2018YFC0830900），2018-01至2022-12，参与；
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