2001，2007，2016年分别于西南大学获得学士、华东师范大学获得硕士和西南交通大学获得博士学位

[1] 2017.01 2019.12 主持 国家自然科学基金青年项目：基于粗糙集的聚类集成方法研究 61603313 [2] 2017.04 2019.12 主持 中央高校基本科研业务费青年创新项目：基于粒计算的多视图聚类集成方法研究 2682017CX097 [3] 2012.04 2015.12 主持 中央高校基本科研业务费百人计划项目：基于粒计算的动态更新知识理论与高效算法研究 SWJTU12BR045 [4] 2020.01 2023.12 主研 国家自然科学基金面上项目：基于粗糙集的稳健特征选择方法研究 61976182 [5] 2019.01 2022.12 主研 国家自然科学基金面上项目：基于粒计算的动态三支决策理论与方法 61876157 [6] 2018.01 2021.12 主研 国家自然科学基金面上项目：面向多层次图像分割的质量评价方法研究 61772435 [7] 2016.03 2017.12 主研 四川省科技厅项目：智能审校云服务平台开发与应用示范 2016GFW0167 [8] 2016.01 2019.12 主研 国家自然科学基金面上项目：粗糙集中带约束的特征选择高效算法研究 61572406 [9] 2014.06 2016.6 主研 四川省科技厅项目：超声及声学造影特征提取与半监督聚类集成学习在甲状腺肿瘤诊断中的方法与应用研究 2014SZ0207 [10] 2013.01 2016.12 主研 国家自然科学基金联合基金：基于粗糙集知识约简算法的行为审计研究 U1230117 [11] 2013.01 2016.12 主研 国家自然科学基金地区科学基金：藏文Web信息的社会网络动态演化机理研究 61262058 [12] 2013.01 2015.12 主研 国家自然科学基金青年基金：面向云计算实时服务的调度模型与算法研究 61202043

[1] Jie Hu, Yi Pan, Tianrui Li and Yan Yang. TW-Co-MFC: Two-level Weighted Collaborative Fuzzy Clustering based on Maximum Entropy for Multi-view Data, TSINGHUA SCIENCE AND TECHNOLOGY TSINGHUA SCIENCE AND TECHNOLOGY, DOI: 10.26599/TST.2019.9010078. 2019, 已接收, SCI. [2] Vinath Mekthanavanh, Tianrui Li, Jie Hu and YanYang. Social web video clustering based on multi-modal and clustering ensemble, Neurocomputing, 366, 234-247, 2019. SCI. [3] Jie Hu, Yi Pan, Tianrui Li and Yan Yang. TW-Co-MFC: Two-level weighted collaborative multi-view fuzzy clustering based on maximum entropy, In Proceedings of 2019 IEEE 7th International Conference on Advanced Cloud and Big Data (CBD), pp. 303-308, 2019.09.21-2019.09.22,Suzhou, China, 2019, EI. [4] Jie Hu, Tianrui Li, Yan Yang and Peng Xie. RFMC: A Rough Fuzzy Multi-View Clustering Approach，In Proceedings of IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE2019), pp 175-180, 2019.11.14-2019.11.16, Dalian, China, 2019, EI. [5] Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Khan and Chunyan Ji. Concept-Enhanced Multi-view Clustering of Document Data, In Proceedings of IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE2019), pp 1357-1363, 2019.11.14-2019.11.16, Dalian, China, 2019, EI. [6] Ghufran Ahmad Khan, Jie Hu, Tianrui Li, Bassoma Diallo and Qianqian Huang. Weighted Multi-View Data Clustering via Joint Non-negative Matrix Factorization, In Proceedings of IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE2019), pp 1357-1363, 2019.11.14-2019.11.16, Dalian, China, 2019, EI. [7] Muqeet Ahmad, Jie Hu, Mushtaq Ahmad, Zaid-ul-Huda, and Faisal Khurshid. Optimal Cluster Leader Selection Using MCDM Methods in MWSN: A Comparative Study, In Proceedings of IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE2019), pp 298-305, 2019.11.14-2019.11.16, Dalian, China, 2019, EI. [8] Shu Wang, Tianrui Li, Chuan Luo, Jie Hu, Hamido Fujita and Tianqiang Huang. A novel approach for efficient updating approximations in dynamic ordered information systems, Information Sciences, vol. 507, pp. 197-219, 2020. SCI. [9] Vinath Mekthanavanha, Tianrui Li, Hua Menga, Yan Yang, Jie Hu. Social Web Video Clustering Based on Multi-View Clustering via Nonnegative Matrix Factorization. International Journal of Machine Learning and Cybernetics, (2019) 10:2779–2790, SCI. [10] Xueli Xiao, Thosini Kumarika Bamunu Mudiyanselage, Chunyan Ji, Jie Hu and Yi Pan. Fast Deep Learning Training through Intelligently Freezing Layers， in 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2019, pp. 1225-1232. EI. [11] Qianqian Huang, Tianrui Li, Xin Yang, Guoqiang Wang and Jie Hu. 面向不完备混合数据的矩阵增量知识维护方法研究，小型微型计算机系统,已接收，中文核心期刊. [12] Qianqian Huang, Tianrui Li, Xin Yang and Jie Hu. Dynamical Information Fusion of Multi-Source Incomplete Hybrid Information Systems Based on Conditional Entropy, In Proceedings of IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE2019), pp 1-8, 2019.11.14-2019.11.16, Dalian, China, 2019，EI. [13] Jing Li, Yan Yang and Jie Hu. Multi-objective Particle Swarm Optimization Algorithm Based on Angle Preference and Three-Archive Sets, In Proceedings of IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE2019), pp 696-703, 2019.11.14-2019.11.16, Dalian, China, 2019，EI. [14] 中国专利，陈红梅，封云飞，李天瑞，胡节，王澍. 一种基于动态种群鲸鱼优化算法的社区检测方法，申请，2019.09.23，申请号：CN201910898508.0 [15] 中国专利，陈红梅，桑彬彬，李天瑞，袁钟，罗川，胡节. 一种用于动态有序数据的增量特征选择方法，申请，2019.09.23，申请号：CN201910898861.9 2018 [1] Wei Zhang, Yan Yang and Jie Hu. A multi-kernel spectral clustering algorithm based on incomplete views, 13th International FLINS Conference (FLINS 2018), pp 477-484, 2018， 2018.08.21-2018.08.24，(EI). [2] Yunmeng Hu, Tianrui Li, Honemei Chen, Jie Hu, Parallel Attrubute Reduction Algorithms Based on CUDA, 13th International Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS2018), 2018.08.21-2018.08.24. (EI) [3] Vinath Mekthanavanh, Tianrui Li, Jie Hu, Yan Yang, Web Video Clustering Based on Emotion Category, Proceedings of 2018 International Conference on Big Data Engineering and Technology (BDET2018), pp 87-91, 2018 (EI) [4] 中国专利, 李天瑞, 胡云蒙, 陈红梅, 胡节，一种基于CUDA的属性约简方法, 申请, 2018.01.04，申请号：201810006829.0 2017 [1] Jie Hu; Tianrui Li; Chuan Luo; Hamido Fujita and Shaoyong Li. Incremental Fuzzy Probabilistic Rough Sets over Two Universes. International Journal of Approximate Reasoning. 2017, 81: 28-48. (SCI,入选ESI高被引论文) [2] Jie Hu; Tianrui Li; Chuan Luo; Hamido Fujita and Yan Yang. Incremental Fuzzy Cluster Ensemble Learning Based on Rough Set Theory. Knowledge-Based Systems. 2017, 132: 144-55. (SCI) [3] Anping Zeng, Tianrui Li, Jie Hu, Hongmei Chen, Chuan Luo, Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values, Information Sciences, 2017, 378: 363-388. (SCI) [4] 中国专利，常晓静，杨燕，胡节，一种多视图构建方法，申请，2017.12.11，申请号：201711304210.X 2016 [1] Jie Hu; Tianrui Li; Hongjun Wang and Hamido Fujita. Hierarchical Cluster Ensemble Model Based on Knowledge Granulation. Knowledge-Based Systems. 2016, 91: 179-88. (SCI,入选ESI高被引论文) 2015 [1] Jie Hu; Tianrui Li; Hongmei Chen and Anping Zeng. An Incremental Learning Approach for Updating Approximations in Rough Set Model over Dual Universes. International Journal of Intelligent Systems. 2015, 30(8): 923-47.(SCI) [2] Jie Hu and Tianrui Li. Reversible Steganography Using Extended Image Interpolation Technique. Computers & Electrical Engineering. 2015, 46.(SCI) [3] Jie Hu, Tianrui Li, Chuan Lu, Shaoyong Li. Incremental Fuzzy Probabilistic Rough Sets over Dual Universes, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, Istanbul, 2015.8.2-2015.8.5.(EI) 2013.11.20-2013.11.23.447-55.(EI) [4] Shaoyong Li, Tianrui Li, Jie Hu. Update of approximations in composite information systems, Knowledge-Based Systems, 2015, 83: 138-148. (SCI) -2014 [1] Jie Hu, Tianrui Li, Anping Zeng. An incremental learning approach for updating approximations in rough set model over dual-universes, 8th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2013, 43-51, Shenzhen.(EI)