个人信息MORE +
胡节 副教授
所在单位： 计算机与人工智能学院
学历： 博士研究生毕业
办公地点： 四川成都高新区西部园区西南交通大学犀浦校区 9431
性别： 女
学位： 工学博士学位
职称： 副教授
电子邮箱： jiehu@swjtu.edu.cn
在职信息： 在职
主要任职： 硕士研究生导师
毕业院校： 西南交通大学
硕士生导师






个人简介
胡节：博士， 西南交通大学副教授，硕士生导师。2018年国家留学基金委公派访问****，赴美国佐治亚州立大学计算机系交流1年。近年来先后承担数据挖掘，人工智能数学基础，计算机程序设计基础（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，人工智能，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9项。获省级科学技术三等奖，ACM成都分会优秀博士论文奖，在Knowledge-Based Systems，Neurocomputing, International Journal of Approximate Reasoning和International Journal of Intelligent Systems等国际SCI期刊和国际会议上发表学术论文30余篇，入选ESI高被引论文2篇。是ACM会员、中国计算机学会会员和中国人工智能学会会员。担任Knowledge-Based Systems国际期刊审稿人。担任JRS2012, FCST2016, ISKE2017国际会议程序委员会委员和国际研讨会ISTDGC2013组委会成员，RoughSummerSchool2017注册和财务主席，IECT2020会议论文集主席，ISKE2021国际会议程序组织主席。


教育经历
[1] 2011.9-2016.12
西南交通大学|计算机应用技术|博士研究生毕业|博士学位


研究方向
[1]人工智能
[2]机器学习，数据挖掘与知识发现
[3]聚类及聚类集成分析
[4]大数据分析与处理，并行计算


工作经历
暂无内容


团队成员
四川省云计算与智能技术高校重点实验室





Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
地址：中国四川省成都市高新区西部园区西南交通大学
川公网安备061号
技术支持：信息化与网络管理处
访问量：次

---

个人信息MORE +
胡节 副教授
所在单位： 计算机与人工智能学院
学历： 博士研究生毕业
办公地点： 四川成都高新区西部园区西南交通大学犀浦校区 9431
性别： 女
学位： 工学博士学位
职称： 副教授
电子邮箱： jiehu@swjtu.edu.cn
在职信息： 在职
主要任职： 硕士研究生导师
毕业院校： 西南交通大学
硕士生导师










科学研究 当前位置: 西南交通大学 胡节 >> 科学研究

研究领域
(1) 人工智能
(2)机器学习，数据挖掘与知识发现
(3) 聚类及聚类集成分析
(4) 大数据分析及并行计算


科研项目 MORE+
基于人工智能的城市时空预测关键技术研究及应用, 2021-01-14, 在研
城市知识模型体系与推理评估——城市知识推理框架, 国家科学技术部，重点研发计划子课题，2019YFB**-2
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-2019-04-01
基于粒计算的动态更新知识理论与高效算法研究-2015-12-01

论文成果
【2021】
[1] 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, JCR一区) code
[2] 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, JCR一区)
[3]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 Cybernetics, 2021.Accepted,DOI：https://doi.org/10.1007/s13042-021-01394-6(SCI, JCR二区)
[4] 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 Cybernetics, 22 March 2021. DOI：https://doi.org/10.1007/s13042-021-01295-8 (SCI, JCR二区)
[5] 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, 21 March 2021. DOI： https://doi.org/10.1007/s13042-021-01307-7 (SCI, JCR二区)

[6] 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)
[7] Muqeet Ahmad, Yan Zhu, Jie Hu, and Mushtaq Ahmad, Battering Review Spam through Ensemble Learning in Imbalanced Datasets, The Computer, 27 March 2021. DOI: https://doi.org/10.1093/comjnl/bxab006 (SCI)
【2020】
[1] Shanwen Yang, Tianrui Li, Xun Gong, Bo Peng, and Jie Hu, A review on crowd simulation and modeling, Graphical Models, vol. 111, 2020.
[2] 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.
【2019】
[1] 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.
[2] 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.
[3] 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.
[4] 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.
[5] 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 14, 2019 - November 16, 2019, Dalian, China, 2019, pp. 1159-1165: Institute of Electrical and Electronics Engineers Inc.
[6] Qianqian Huang, Tianrui Li, Xin Yang, and Jie Hu, Dynamical Information Fusion of Multisource Incomplete Hybrid Information Systems Based on Conditional Entropy, in 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019, November 14, 2019 - November 16, 2019, Dalian, China, 2019, pp. 1-8: Institute of Electrical and Electronics Engineers Inc.
[7] 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 7th International Conference on Advanced Cloud and Big Data, CBD 2019, September 21, 2019 - September 22, 2019, Suzhou, China, 2019, pp. 303-308: Institute of Electrical and Electronics Engineers Inc.
[8]Jie Hu*, Tianrui Li, Yan Yang, Peng Xie, and Xueli Xiao, RFMC: A Rough Fuzzy Multi-view Clustering Approach, in 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019, November 14, 2019 - November 16, 2019, Dalian, China, 2019, pp. 142-147: Institute of Electrical and Electronics Engineers Inc.
[9] Bassoma Diallo, Jie Hu*, Tianrui Li, Ghufran Khan, and Chunyan Ji, Concept-Enhanced Multi-view Clustering of Document Data, in 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019, November 14, 2019 - November 16, 2019, Dalian, China, 2019, pp. 1258-1264: Institute of Electrical and Electronics Engineers Inc.
[10] Muqeet Ahmad, Jie Hu*, Mushtaq Ahmad, Huda Zaid Ul, and Faisal Khurshid, Optimal Cluster Leader Selection Using MCDM Methods in MWSN: A Comparative Study, in 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019, November 14, 2019 - November 16, 2019, Dalian, China, 2019, pp. 240-247: Institute of Electrical and Electronics Engineers Inc.
【2018】
[1] Vinath Mekthanavanh, Tianrui Li, Jie Hu, and Yan Yang, Web video clustering based on emotion category, in 2018 International Conference on Big Data Engineering and Technology, BDET 2018, August 25, 2018 - August 27, 2018, Chengdu, China, 2018, pp. 87-91: Association for Computing Machinery.
【2017】
[1] Anping Zeng, Tianrui Li, Jie Hu, Hongmei Chen, and Chuan Luo, Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values, Information Sciences, vol. 378, pp. 363-388, 2017.
[2] Yingge Xu, Yan Yang, Hongjun Wang, and Jie Hu, An overlapping clustering approach with correlation weight, in International Joint Conference on Rough Sets, IJCRS 2017, July 3, 2017 - July 7, 2017, Olsztyn, Poland, 2017, vol. 10313 LNAI, pp. 611-619: Springer Verlag.
[3] Jie Hu, Tianrui Li, Chuan Luo, Hamido Fujita, and Yan Yang, Incremental fuzzy cluster ensemble learning based on rough set theory, Knowledge-Based Systems, vol. 132, pp. 144-155, 2017.
[4] Jie Hu, Tianrui Li, Chuan Luo, Hamido Fujita, and Shaoyong Li, Incremental fuzzy probabilistic rough sets over two universes, International Journal of Approximate Reasoning, vol. 81, pp. 28-48, 2017.
【2016】
[1] Mingwei Tang, Shenke Zeng, Xiaoliang Chen, Jie Hu, and Yajun Du, An adaptive image steganography using AMBTC compression and interpolation technique, Optik, vol. 127, no. 1, pp. 471-477, 2016.
[2] Jie Hu, Tianrui Li, Hongjun Wang, and Hamido Fujita, Hierarchical cluster ensemble model based on knowledge granulation, Knowledge-Based Systems, vol. 91, pp. 179-188, 2016.
【2015】
[1] Anping Zeng, Tianrui Li, Chuan Luo, and Jie Hu, Incremental updating fuzzy rough approximations for dynamic hybrid data under the variation of attribute values, in 14th International Conference on Machine Learning and Cybernetics, ICMLC 2015, July 12, 2015 - July 15, 2015, Guangzhou, China, 2015, vol. 1, pp. 157-162: IEEE Computer Society.
[2] Mingwei Tang, Wen Song, Xiaoliang Chen, and Jie Hu, An image information hiding using adaptation and radix, Optik, vol. 126, no. 23, pp. 4136-4141, 2015.
[3] Mingwei Tang, Jie Hu, Wen Song, and Shengke Zeng, Reversible and adaptive image steganographic method, AEU - International Journal of Electronics and Communications, vol. 69, no. 12, pp. 1745-1754, 2015.
[4] Shaoyong Li, Tianrui Li, and Jie Hu, Update of approximations in composite information systems, Knowledge-Based Systems, vol. 83, no. 1, pp. 138-148, 2015.
[5] Shaoyong Li, Tianrui Li, and Jie Hu, Update of approximations in composite information systems, Knowledge-Based Systems, vol. 83, pp. 138-148, 2015.
[6] Jie Hu, Tianrui Li, Chuan Luo, and Shaoyong Li, Incremental fuzzy probabilistic rough sets over dual universes, in IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015, August 2, 2015 - August 5, 2015, Istanbul, Turkey, 2015, vol. 2015-November: Institute of Electrical and Electronics Engineers Inc.
[7] Jie Hu, Tianrui Li, Hongmei Chen, and Anping Zeng, An incremental learning approach for updating approximations in rough set model over dual universes, 2015, vol. 30, pp. 923-947: John Wiley and Sons Ltd.
[8] Jie Hu and Tianrui Li, Reversible steganography using extended image interpolation technique, Computers and Electrical Engineering, vol. 46, pp. 447-455, 2015.
[9] Hongmei Chen, Tianrui Li, Chuan Luo, and Jie Hu, Dominance-based neighborhood rough sets and its attribute reduction, in 10th International Conference on Rough Sets and Knowledge Technology, RSKT 2015, November 20, 2015 - November 23, 2015, Tianjin, China, 2015, vol. 9436, pp. 89-99: Springer Verlag.
【2013】
[1] Mingwei Tang, Jie Hu, and Wen Song, A high embedding efficiency speech information hiding approach, in WIT Transactions on Information and Communication Technologies, May 7, 2013 - May 8, 2013, Wuhan, China, 2014, vol. 46 VOLUME 1, pp. 847-854: WITPress.
[2] Mingwei Tang, Jie Hu, and Wen Song, A high capacity image steganography using multi-layer embedding, Optik, vol. 125, no. 15, pp. 3972-3976, 2014.
[3] Jie Hu, Tianrui Li, and Anping Zeng, An incremental learning approach for updating approximations in rough set model over dual-universes, in 8th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2013, November 20, 2013 - November 23, 2013, Shenzhen, China, 2014, vol. 278, pp. 43-51: Springer Verlag.
[4] Jie Hu, Tianrui Li, and Anping Zeng, An Incremental Learning Approach for Updating Approximations in Rough Set Model Over Dual-Universes, in Knowledge Engineering and Management - Proceedings of the 8th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2013, 2014, vol. 278, pp. 43-51: Springer Verlag.
[5] Mingwei Tang, Jie Hu, Mingyu Fan, and Wen Song, A steganalysis by adjacency pixel bits structure, Computers and Electrical Engineering, vol. 39, no. 2, pp. 488-496, 2013.
[6] Mingwei Tang, Wen Song, and Jie Hu, Analysis and modeling of the elevator system based on colored cyber net, in 2009 WRI World Congress on Software Engineering, WCSE 2009, May 19, 2009 - May 21, 2009, Xiamen, China, 2009, vol. 3, pp. 167-170: IEEE Computer Society.





专利
中国专利，基于情绪认知的人群疏散可视化方法，申请：2020-02-28， 申请...
中国专利，一种用于动态有序数据的增量特征选择方法，申请，2019.09.23...
中国专利，. 一种基于动态种群鲸鱼优化算法的社区检测方法，申请，2019....
中国专利，一种多视图构建方法，申请，2017.12.11，申请号：...
中国专利, 一种基于CUDA的属性约简方法, 申请, 2018.01.04，申请号：201...

著作成果
暂无内容



Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
地址：中国四川省成都市高新区西部园区西南交通大学
川公网安备061号
技术支持：信息化与网络管理处
访问量：次

---

个人信息MORE +
胡节 副教授
所在单位： 计算机与人工智能学院
学历： 博士研究生毕业
办公地点： 四川成都高新区西部园区西南交通大学犀浦校区 9431
性别： 女
学位： 工学博士学位
职称： 副教授
电子邮箱： jiehu@swjtu.edu.cn
在职信息： 在职
主要任职： 硕士研究生导师
毕业院校： 西南交通大学
硕士生导师










研究领域 当前位置: 西南交通大学 胡节 >> 科学研究 >> 研究领域

(1) 人工智能
(2)机器学习，数据挖掘与知识发现
(3) 聚类及聚类集成分析
(4) 大数据分析及并行计算


Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
地址：中国四川省成都市高新区西部园区西南交通大学
川公网安备061号
技术支持：信息化与网络管理处
访问量：次

---

个人信息MORE +
胡节 副教授
所在单位： 计算机与人工智能学院
学历： 博士研究生毕业
办公地点： 四川成都高新区西部园区西南交通大学犀浦校区 9431
性别： 女
学位： 工学博士学位
职称： 副教授
电子邮箱： jiehu@swjtu.edu.cn
在职信息： 在职
主要任职： 硕士研究生导师
毕业院校： 西南交通大学
硕士生导师










科研项目 当前位置: 西南交通大学 胡节 >> 科学研究 >> 科研项目

基于人工智能的城市时空预测关键技术研究及应用, 2021-01-14, 在研
城市知识模型体系与推理评估——城市知识推理框架, 国家科学技术部，重点研发计划子课题，2019YFB**-2
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-2019-04-01
基于粒计算的动态更新知识理论与高效算法研究-2015-12-01
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
智能审校云服务平台开发与应用示范-2017-12-01
粗糙集中带约束的特征选择高效算法研究
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-2016-06-01
基于粗糙集知识约简算法的行为审计研究-2016-12-01
藏文Web信息的社会网络动态演化机理研究-2016-12-01
面向云计算实时服务的调度模型与算法研究-2015-12-01

共14条1/1 首页上页下页尾页



Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
地址：中国四川省成都市高新区西部园区西南交通大学
川公网安备061号
技术支持：信息化与网络管理处
访问量：次

---

个人信息MORE +
胡节 副教授
所在单位： 计算机与人工智能学院
学历： 博士研究生毕业
办公地点： 四川成都高新区西部园区西南交通大学犀浦校区 9431
性别： 女
学位： 工学博士学位
职称： 副教授
电子邮箱： jiehu@swjtu.edu.cn
在职信息： 在职
主要任职： 硕士研究生导师
毕业院校： 西南交通大学
硕士生导师










论文成果 当前位置: 西南交通大学 胡节 >> 科学研究 >> 论文成果

【2021】
[1] 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, JCR一区) code
[2] 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, JCR一区)
[3]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 Cybernetics, 2021.Accepted,DOI：https://doi.org/10.1007/s13042-021-01394-6(SCI, JCR二区)
[4] 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 Cybernetics, 22 March 2021. DOI：https://doi.org/10.1007/s13042-021-01295-8 (SCI, JCR二区)
[5] 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, 21 March 2021. DOI： https://doi.org/10.1007/s13042-021-01307-7 (SCI, JCR二区)

[6] 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)
[7] Muqeet Ahmad, Yan Zhu, Jie Hu, and Mushtaq Ahmad, Battering Review Spam through Ensemble Learning in Imbalanced Datasets, The Computer, 27 March 2021. DOI: https://doi.org/10.1093/comjnl/bxab006 (SCI)
【2020】
[1] Shanwen Yang, Tianrui Li, Xun Gong, Bo Peng, and Jie Hu, A review on crowd simulation and modeling, Graphical Models, vol. 111, 2020.
[2] 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.
【2019】
[1] 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.
[2] 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.
[3] 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.
[4] 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.
[5] 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 14, 2019 - November 16, 2019, Dalian, China, 2019, pp. 1159-1165: Institute of Electrical and Electronics Engineers Inc.
[6] Qianqian Huang, Tianrui Li, Xin Yang, and Jie Hu, Dynamical Information Fusion of Multisource Incomplete Hybrid Information Systems Based on Conditional Entropy, in 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019, November 14, 2019 - November 16, 2019, Dalian, China, 2019, pp. 1-8: Institute of Electrical and Electronics Engineers Inc.
[7] 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 7th International Conference on Advanced Cloud and Big Data, CBD 2019, September 21, 2019 - September 22, 2019, Suzhou, China, 2019, pp. 303-308: Institute of Electrical and Electronics Engineers Inc.
[8]Jie Hu*, Tianrui Li, Yan Yang, Peng Xie, and Xueli Xiao, RFMC: A Rough Fuzzy Multi-view Clustering Approach, in 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019, November 14, 2019 - November 16, 2019, Dalian, China, 2019, pp. 142-147: Institute of Electrical and Electronics Engineers Inc.
[9] Bassoma Diallo, Jie Hu*, Tianrui Li, Ghufran Khan, and Chunyan Ji, Concept-Enhanced Multi-view Clustering of Document Data, in 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019, November 14, 2019 - November 16, 2019, Dalian, China, 2019, pp. 1258-1264: Institute of Electrical and Electronics Engineers Inc.
[10] Muqeet Ahmad, Jie Hu*, Mushtaq Ahmad, Huda Zaid Ul, and Faisal Khurshid, Optimal Cluster Leader Selection Using MCDM Methods in MWSN: A Comparative Study, in 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019, November 14, 2019 - November 16, 2019, Dalian, China, 2019, pp. 240-247: Institute of Electrical and Electronics Engineers Inc.
【2018】
[1] Vinath Mekthanavanh, Tianrui Li, Jie Hu, and Yan Yang, Web video clustering based on emotion category, in 2018 International Conference on Big Data Engineering and Technology, BDET 2018, August 25, 2018 - August 27, 2018, Chengdu, China, 2018, pp. 87-91: Association for Computing Machinery.
【2017】
[1] Anping Zeng, Tianrui Li, Jie Hu, Hongmei Chen, and Chuan Luo, Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values, Information Sciences, vol. 378, pp. 363-388, 2017.
[2] Yingge Xu, Yan Yang, Hongjun Wang, and Jie Hu, An overlapping clustering approach with correlation weight, in International Joint Conference on Rough Sets, IJCRS 2017, July 3, 2017 - July 7, 2017, Olsztyn, Poland, 2017, vol. 10313 LNAI, pp. 611-619: Springer Verlag.
[3] Jie Hu, Tianrui Li, Chuan Luo, Hamido Fujita, and Yan Yang, Incremental fuzzy cluster ensemble learning based on rough set theory, Knowledge-Based Systems, vol. 132, pp. 144-155, 2017.
[4] Jie Hu, Tianrui Li, Chuan Luo, Hamido Fujita, and Shaoyong Li, Incremental fuzzy probabilistic rough sets over two universes, International Journal of Approximate Reasoning, vol. 81, pp. 28-48, 2017.
【2016】
[1] Mingwei Tang, Shenke Zeng, Xiaoliang Chen, Jie Hu, and Yajun Du, An adaptive image steganography using AMBTC compression and interpolation technique, Optik, vol. 127, no. 1, pp. 471-477, 2016.
[2] Jie Hu, Tianrui Li, Hongjun Wang, and Hamido Fujita, Hierarchical cluster ensemble model based on knowledge granulation, Knowledge-Based Systems, vol. 91, pp. 179-188, 2016.
【2015】
[1] Anping Zeng, Tianrui Li, Chuan Luo, and Jie Hu, Incremental updating fuzzy rough approximations for dynamic hybrid data under the variation of attribute values, in 14th International Conference on Machine Learning and Cybernetics, ICMLC 2015, July 12, 2015 - July 15, 2015, Guangzhou, China, 2015, vol. 1, pp. 157-162: IEEE Computer Society.
[2] Mingwei Tang, Wen Song, Xiaoliang Chen, and Jie Hu, An image information hiding using adaptation and radix, Optik, vol. 126, no. 23, pp. 4136-4141, 2015.
[3] Mingwei Tang, Jie Hu, Wen Song, and Shengke Zeng, Reversible and adaptive image steganographic method, AEU - International Journal of Electronics and Communications, vol. 69, no. 12, pp. 1745-1754, 2015.
[4] Shaoyong Li, Tianrui Li, and Jie Hu, Update of approximations in composite information systems, Knowledge-Based Systems, vol. 83, no. 1, pp. 138-148, 2015.
[5] Shaoyong Li, Tianrui Li, and Jie Hu, Update of approximations in composite information systems, Knowledge-Based Systems, vol. 83, pp. 138-148, 2015.
[6] Jie Hu, Tianrui Li, Chuan Luo, and Shaoyong Li, Incremental fuzzy probabilistic rough sets over dual universes, in IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015, August 2, 2015 - August 5, 2015, Istanbul, Turkey, 2015, vol. 2015-November: Institute of Electrical and Electronics Engineers Inc.
[7] Jie Hu, Tianrui Li, Hongmei Chen, and Anping Zeng, An incremental learning approach for updating approximations in rough set model over dual universes, 2015, vol. 30, pp. 923-947: John Wiley and Sons Ltd.
[8] Jie Hu and Tianrui Li, Reversible steganography using extended image interpolation technique, Computers and Electrical Engineering, vol. 46, pp. 447-455, 2015.
[9] Hongmei Chen, Tianrui Li, Chuan Luo, and Jie Hu, Dominance-based neighborhood rough sets and its attribute reduction, in 10th International Conference on Rough Sets and Knowledge Technology, RSKT 2015, November 20, 2015 - November 23, 2015, Tianjin, China, 2015, vol. 9436, pp. 89-99: Springer Verlag.
【2013】
[1] Mingwei Tang, Jie Hu, and Wen Song, A high embedding efficiency speech information hiding approach, in WIT Transactions on Information and Communication Technologies, May 7, 2013 - May 8, 2013, Wuhan, China, 2014, vol. 46 VOLUME 1, pp. 847-854: WITPress.
[2] Mingwei Tang, Jie Hu, and Wen Song, A high capacity image steganography using multi-layer embedding, Optik, vol. 125, no. 15, pp. 3972-3976, 2014.
[3] Jie Hu, Tianrui Li, and Anping Zeng, An incremental learning approach for updating approximations in rough set model over dual-universes, in 8th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2013, November 20, 2013 - November 23, 2013, Shenzhen, China, 2014, vol. 278, pp. 43-51: Springer Verlag.
[4] Jie Hu, Tianrui Li, and Anping Zeng, An Incremental Learning Approach for Updating Approximations in Rough Set Model Over Dual-Universes, in Knowledge Engineering and Management - Proceedings of the 8th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2013, 2014, vol. 278, pp. 43-51: Springer Verlag.
[5] Mingwei Tang, Jie Hu, Mingyu Fan, and Wen Song, A steganalysis by adjacency pixel bits structure, Computers and Electrical Engineering, vol. 39, no. 2, pp. 488-496, 2013.
[6] Mingwei Tang, Wen Song, and Jie Hu, Analysis and modeling of the elevator system based on colored cyber net, in 2009 WRI World Congress on Software Engineering, WCSE 2009, May 19, 2009 - May 21, 2009, Xiamen, China, 2009, vol. 3, pp. 167-170: IEEE Computer Society.






Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
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个人信息MORE +
胡节 副教授
所在单位： 计算机与人工智能学院
学历： 博士研究生毕业
办公地点： 四川成都高新区西部园区西南交通大学犀浦校区 9431
性别： 女
学位： 工学博士学位
职称： 副教授
电子邮箱： jiehu@swjtu.edu.cn
在职信息： 在职
主要任职： 硕士研究生导师
毕业院校： 西南交通大学
硕士生导师










专利 当前位置: 西南交通大学 胡节 >> 科学研究 >> 专利

中国专利，基于情绪认知的人群疏散可视化方法，申请：2020-02-28， 申请号：0.72020-09-03

中国专利，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：CN1.92020-09-03

中国专利，. 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：CN8.02020-05-22

中国专利，一种多视图构建方法，申请，2017.12.11，申请号：0.X2020-09-03

中国专利, 一种基于CUDA的属性约简方法, 申请, 2018.01.04，申请号：9.02019-10-07


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Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
地址：中国四川省成都市高新区西部园区西南交通大学
川公网安备061号
技术支持：信息化与网络管理处
访问量：次

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个人信息MORE +
胡节 副教授
所在单位： 计算机与人工智能学院
学历： 博士研究生毕业
办公地点： 四川成都高新区西部园区西南交通大学犀浦校区 9431
性别： 女
学位： 工学博士学位
职称： 副教授
电子邮箱： jiehu@swjtu.edu.cn
在职信息： 在职
主要任职： 硕士研究生导师
毕业院校： 西南交通大学
硕士生导师










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Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
地址：中国四川省成都市高新区西部园区西南交通大学
川公网安备061号
技术支持：信息化与网络管理处
访问量：次

---

个人信息MORE +
胡节 副教授
所在单位： 计算机与人工智能学院
学历： 博士研究生毕业
办公地点： 四川成都高新区西部园区西南交通大学犀浦校区 9431
性别： 女
学位： 工学博士学位
职称： 副教授
电子邮箱： jiehu@swjtu.edu.cn
在职信息： 在职
主要任职： 硕士研究生导师
毕业院校： 西南交通大学
硕士生导师










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人工智能数学基础 /SIST007912
数据挖掘 /**
多媒体软件设计 /DMTRJSJ
多媒体技术及应用 /DMTJSJYY
程序设计基础（VC++） /CXSJJC

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Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
地址：中国四川省成都市高新区西部园区西南交通大学
川公网安备061号
技术支持：信息化与网络管理处
访问量：次