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个人简介

胡节,博士,副教授。2018年国家留学基金委公派访问学者,赴美国佐治亚州立大学计算机系交流1年。近年来先后承担程序设计基础(VC++),多媒体技术及应用等课程的教学工作。主要研究方向是机器学习,数据挖掘与知识发现,聚类及聚类集成,云计算与大数据。近年来主持国家自然科学基金项目1项,主持西南交通大学校级基金2项,主研国家自然科学基金5项。获省级科学技术三等奖1项,ACM成都分会优秀博士论文奖,以第一作者身份在Knowledge-BasedSystems,InternationalJournalofApproximateReasoning和InternationalJournalofIntelligentSystems等国际SCI期刊和国际会议上发表/录用学术论文7篇,入选ESI高被引论文2篇。 科研项目 企业横向课题(南方电网),“基于邻近气象信息的覆冰时空聚合预测模型研究”2021-2023 中国家铁路集团有限公司重点研发项目-智能高铁体系架构升级优化研究-智能高速铁路数据体系框架2.0子课题 基于人工智能的城市时空预测关键技术研究及应用 城市知识模型体系与推理评估——城市知识推理框架 基于粗糙集的聚类集成方法研究 基于粒计算的多视图聚类集成方法研究 基于粒计算的动态更新知识理论与高效算法研究 基于粗糙集的稳健特征选择方法研究 基于粒计算的动态三支决策理论与方法 面向多层次图像分割的质量评价方法研究 获得荣誉 2019年获得四川省计算机科学技术奖一等奖,半监督聚类集成理论与方法研究,2019 西南交通大学优秀博士论文奖,2017 ACM成都优秀博士论文奖,2017 西藏自治区科学技术奖三等奖,藏文Web信息的社会网络动态演化机理研究,2018

研究领域

(1) 人工智能(机器学习,深度学习,数据挖掘) (2) 聚类分析,时间序列预测,自然语言处理 (3) 智能运维,交通大数据,医疗大数分析等应用

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Huifa Liao, Jie Hu*, Tianrui Li, Shengdong Du, Bo Peng, Deep linear graph attention model for attributed graph clustering, Knowledge-Based Systems, Volume 246, 21 June 2022,108665(SCI, 中科院1区,计算机:人工智能领域top期刊) Chenbing Li, Jie Hu*, Tianrui Li, Shengdong Du, Fei Teng, An effective multi-task learning model for end-to-end emotion-cause pair extraction, Applied Intelligence, 21 Apr 2022, https://doi.org/10.1007/s10489-022-03637-7.(SCI, 中科院2区,计算机:人工智能领域期刊) Dan Huang, Jie Hu*, Tianrui Li, Shengdong Du, Hongmei Chen, Consistency regularization for deep semi-supervised clustering with pairwise constraints, International Journal of Machine Learning and Cybernetics, DOI:10.1007/s13042-022-01599-3(已接收,SCI) Wenwen Liu, Jie Hu*, Shengdong Du, Hongmei Chen, Fei Teng, A method of sharing sentence vectors for opinion triplet extraction, Neural Processing Letters, 21 June 2022,https://doi.org/10.1007/s11063-022-10907-5 (SCI) 张熠玲,杨燕*,周威,欧阳小草,胡节,CMvSC:知识迁移下的深度一致性多视图谱聚类网络,软件学报, 2022,33(04)(北大核心) Jiabin Tang, Tang Qian, Shijing Liu, Shengdong Du∗,Jie Hu, Tianrui Li, Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting, The 2022 International Joint Conference on Neural Networks (IJCNN 2022),已接收 Shuwei Chen, Jie Hu, Tianrui Li, Luis Martínez, Jun Liu: 16th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2021, Chengdu, China, November 26-28, 2021. IEEE 2021, ISBN 978-1-6654-0553-9 (主编国际会议论文集,EI) Shuai Chang, Jie Hu*, Tianrui Li, Hao Wang, and Bo Peng, Multi-view clustering via deep concept factorization, Knowledge-Based Systems,Vol. 217, 6 April 2021, 106807. (SCI,中科院1区,计算机:人工智能领域top期刊) Bassoma Diallo, Jie Hu*, Tianrui Li, Ghufran Ahmad Khan, Xinyan Liang, and Yimiao Zhao, Deep embedding clustering based on contractive autoencoder, Neurocomputing, vol. 433, pp. 96-107, 2021. (SCI, 中科院2区,计算机:人工智能领域top期刊) Ghufran Ahmad Khan, Jie Hu*, Tianrui Li, Bassoma Diallo, and Yimiao Zhao, Multi-view low rank sparse representation method for three-way clustering, International Journal of Machine Learning and Cybernetic, vol. 13, issue. 1, pp. 233-253, 2021.(SCI, 中科院2区) Bassoma Diallo, Jie Hu*, Tianrui Li, Ghufran Ahmad Khan, and Ahmed Saad Hussein,Multi-view document clustering based on geometrical similarity measurement,International Journal of Machine Learning and Cybernetic, vol. 13, issue. 3, pp.663-675 2021. (SCI,中科院2区) Ghufran Ahmad Khan, Jie Hu*, Tianrui Li, Bassoma Diallo, and Hongjun Wang, Multi-view data clustering via non-negative matrix factorization with manifold regularization, International Journal of Machine Learning and Cybernetics,13 (3) , pp.677-689, 2021.(SCI, 中科院2区) 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, vol. 26, no. 2, pp. 185-198, 2021. (SCI, 中科院3区) Weiting Xu, Jie Hu*, Shengdong Du, Yan Yang, K-Means Clustering with Fairness Constraints, In the 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) 2021, pp.215-222, 2021.(EI) Shanwen Yang, Tianrui Li, Xun Gong, Bo Peng, and Jie Hu, A review on crowd simulation and modeling, Graphical Models, vol. 111, 2020. 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. Xueli Xiao, Thosini Bamunu Mudiyanselage, Chunyan Ji, Jie Hu, and Yi Pan, Fast deep learning training through intelligently freezing layers, in 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019, July 14, 2019 - July 17, 2019, Atlanta, GA, United states, 2019, pp. 1225-1232: Institute of Electrical and Electronics Engineers Inc. Vinath Mekthanavanh, Tianrui Li, Hua Meng, Yan Yang, and Jie Hu, Social web video clustering based on multi-view clustering via nonnegative matrix factorization, International Journal of Machine Learning and Cybernetics, vol. 10, no. 10, pp. 2779-2790, 2019. Vinath Mekthanavanh, Tianrui Li, Jie Hu, and Yan Yang, Social web video clustering based on multi-modal and clustering ensemble, Neurocomputing, vol. 366, pp. 234-247, 2019. Jing Li, Yan Yang, and Jie Hu, Multi-Objective Particle Swarm optimization Algorithm Based on Angle Preference and Three-Archive Sets, in 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019, November 14, 2019 - November 16, 2019, Dalian, China, 2019, pp. 630-636: Institute of Electrical and Electronics Engineers Inc. Ghufran Ahmad Khan, Jie Hu*, Tianrui Li, Bassoma Diallo, and Qianqian Huang, Weighted Multi-View Data Clustering via Joint Non-Negative Matrix Factorization, in 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019, November

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