个人信息Personal Information 职务： 党委委员、副院长
所在单位： 计算机与人工智能学院
学历： 博士研究生毕业
学位： 工学博士学位
主要任职： 教授/博导
毕业院校： 西南交通大学
学科：计算机科学与技术
软件工程

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同专业博导同专业硕导

个人简介Personal Profile 杨燕，教授，博士生导师，四川省学术和技术带头人，国家级一流本科专业“计算机科学与技术”负责人，计算机与人工智能学院副院长，云计算与智能技术四川省高校重点实验室副主任。加拿大滑铁卢大学访问****。主要研究方向为人工智能，大数据分析与挖掘，集成学习与多视图学习，云计算与云服务等。
近年来主持承担科技项目10余项，包括主持国家自然科学基金面上项目3项、国家科技支撑计划课题、主研国家自然科学基金重点项目、国家重点研发计划课题等。在IEEE TKDE，IEEE TEC，IEEE TC，IEEE TCC等国际期刊和计算机研究与发展、自动化学报等国内期刊或IJCAI、ICDM、EMNLP国际会议等上发表学术论文200余篇，主编国际期刊专辑和国际会议论文集各1部，申请/获得授权发明专利10余项。并应邀到国际会议或国内会议做特邀报告10余次，担任多个国际会议的大会主席、程序委员会主席、组织委员会主席或程序委员会委员，担任国际期刊《Big Data Mining and Analytics》编委。曾担任国家自然科学奖、科学技术进步奖和技术发明奖的会评专家。获得詹天佑铁道科学技术奖专项奖，四川省计算机科学技术一等奖（四川省计算机学会）。
先后主讲数据结构、操作系统、操作系统分析与设计、计算机学科前沿导论、模式识别、神经网络及应用等本科或研究生课程，四川省精品课程“操作系统”负责人，发表教改论文20余篇，主编教材2本，多次获得四川省优秀教学成果二、三等奖，校优秀教学成果一等奖。
是中国计算机学会（CCF）杰出会员，中国人工智能学会（CAAI）高级会员，IEEE、ACM、ACM SIGKDD会员，CCF人工智能与模式识别专委会委员、CCF理论计算机科学专委会委员、CCF大数据专家委员会委员、CCF教育工委委员，CAAI机器学习专委会委员、CAAI粒计算与知识发现专委会委员。担任ACM Chengdu Chapter副主席，ACM SIGCSE China Chapter理事，四川省计算机学会副理事长，四川省电子学会大数据产学研委员会副主任，四川省人工智能联盟常务理事，四川省人工智能学会理事。





教育经历Education Background
工作经历Work Experience
暂无内容 暂无内容
研究方向Research Focus
人工智能
大数据分析与挖掘
集成学习与多视图学习
云计算与云服务

团队成员Research Group Research Team
Professor Yan Yang's research team is as a part of the Key Lab of Cloud Computing & Intelligent Technology, Sichuan Province. The Lab works on a wide diversity of pertinent research areas. It also consists of several professors, researchers and graduate students. It can be visited via https://scai.swjtu.edu.cn/





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

---

个人信息Personal Information 职务： 党委委员、副院长
所在单位： 计算机与人工智能学院
学历： 博士研究生毕业
学位： 工学博士学位
主要任职： 教授/博导
毕业院校： 西南交通大学
学科：计算机科学与技术
软件工程


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同专业博导同专业硕导


当前位置： 中文主页 >> 科学研究
科研项目
国家自然科学基金面上项目：基于多视图融合的序列数据深度学习模型研究（**），2020/1-2023/12，主持
国家重点研发计划课题：基于第三方产业链协同平台的分布式数据空间研发与应用示范（2019YFB**），2019/12-2022/11，参与
国家自然科学基金面上项目：多视图半监督聚类集成方法及应用研究（**），2016/1-2019/12，主持
国家科技支撑计划课题：科技业务云服务平台研发与应用示范（2015BAH19F02），2015/7-2017/12，主持
四川省科技支撑计划项目：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），2014/7-016/6，主持
国家自然科学基金国际（地区）合作与交流项目：2013生物识别与安全技术国际会议（），2013/8-2013/11，主持
国家自然科学基金面上项目：基于半监督学习的聚类集成机理及高效算法研究（**），2012/1-2015/12，主持
国家自然科学基金重点项目：基于监测数据的高速列车服役安全性态评估的关键问题研究（**），2012/1-2016/12，主研
国家自然科学基金主任专项项目：基于人机共建智慧平台的语义搜索引擎（**），2012/1-2012/12，主研
牵引动力国家重点实验室自主研究课题：基于云计算的海量高铁数据处理关键技术研究（2012TPL_T15），2012/1-2014/12，主持


铁道部科技研究开发计划课题：高速铁路养护维修技术研究-高速铁路轨道状态预测分析及诊断技术研究（2010G006-D），2010/2-2011/12，主研



论文成果
Selected Papers


2021
70. Yiling Zhang, Yan Yang*, Wei Zhou, Hao Wang, Xiaocao Ouyang, Multi-city Traffic Flow Forecasting via Multi-task Learning, Applied Intelligence, DOI: 10.1007/s10489-020-02074-8, 2021
69. Xiaobo Zhang, Yan Yang*, Tianrui Li, Yiling Zhang, Hao Wang, Hamido Fujita, CMC: A Consensus Multi-view Clustering Model for Predicting Alzheimer’s Disease Progression, Computer Methods and Programs in Biomedicine, 199: 105895, DOI: 10.1007/s10489-020-02074-8, 2021
68. Jie Hu, Yi Pan, Tianrui Li, Yan Yang, TW-Co-MFC: Two-level Weighted Collaborative Fuzzy Clustering based on Maximum Entropy for Multi-view Data, Tsinghua Science and Technology, 26(2): 185-198, 2021
67. Zaid Al-Huda, Bo Peng, Yan Yang, et al., Weakly Supervised Semantic Segmentation by Iteratively Refining Optimal Segmentation with DeepCuesGuidance, Neural Computing and Applications, DOI:10.1007/s00521-020-05669-x, 2021 (SCI, EI, CCF C类期刊)
66. Zaid Al-Huda, Bo Peng, Yan Yang, et al., Object scale selection of hierarchical image segmentation with deep seeds, IET Image Processing, 15(1): 191-205, 2021 (SCI, EI, CCF C类期刊)

2017-2020
65. Hao Wang, Yan Yang*, Bing Liu, GMC: Graph-based Multi-view Clustering, IEEE Transactions on Knowledge and Data Engineering, 32(6): 1116-1129, 2020 (SCI, EI, CCF A类期刊, 入选ESI热点论文和高被引论文)
64. Hao Wang, Yan Yang*, Xiaobo Zhang, Bo Peng, Parallel Multi-view Concept Clustering in Distributed Computing, Neural Computing and Applications, 32(10): 5621-5631, 2020 (SCI, EI, CCF C类期刊)
63. Wei Zhou, Yan Yang*, Yiling Zhang, Dongjie Wang, Xiaobo Zhang, Deep Flexible Structured Spatial-Temporal Model for Taxi Capacity Prediction, Knowledge-Based Systems, 205: 106286, DOI: 10.1016/j.knosys.2020.106286, 2020 (SCI, EI, CCF C类期刊)
62. Chao Guo,Yan Yang*, Yongquan Jiang, Tianrui Li, Condition Analysis of High-speed Train based on Similarity Ratio and MDBN, Computing in Science and Engineering, 22(1): 64-76, 2020 (SCI, EI)
61. Guanlin Zhai, Yan Yang*, Heng Wang, Shengdong Du, Multi-Attention Fusion Modeling for Sentiment Classification of Educational Big Data, Big data mining and analytics, 3(4): 311-319, 2020
60. Shengdong Du,Tianrui Li, Yan Yang, Shi-Jinn Horng, Multivariate Time Series Forecasting via Attention-based Encoder-decoder Framework, Neurocomputing, 388: 269-279, 2020 (SCI, EI, CCF C类期刊)
59. Xiaobo Zhang, Donghai Zhai, Yan Yang, Yiling Zhang, Chunlin Wang, A Novel Semi-supervised Multi-view Clustering Framework for Screening Parkinson’s Disease, Mathematical Biosciences and Engineering, 17(4): 3395–3411, 2020 (SCI, EI)

58. HaoWang,ShuaiWang,SahisnuMazumder,BingLiu,YanYang,TianruiLi, Bayes-enhanced Lifelong AttentionNetworksfor SentimentClassification, COLING, 2020: 580-591 (CCF B类会议)
57. 夏冬雪，杨燕*，王浩，阳树洪，基于邻域多核学习的后融合多视图聚类算法，计算机研究与发展，57(8): 1627-1638, 2020 (EI)

56. 杜圣东，李天瑞，杨燕，王浩，谢鹏，洪西进，一种基于序列到序列时空注意力学习的交通流预测模型，计算机研究与发展，57(8): 1715-1728, 2020 (EI)
55. Hao Wang,Yan Yang*, Bing Liu, Hamido Fujita, A Study of Graph-based System for Multi-view Clustering, Knowledge-Based Systems, 163: 1009-1019, 2019 (SCI, EI, CCF C类期刊, 入选ESI热点论文和高被引论文)
54. Yiling Zhang,Yan Yang*, Tianrui Li, Hamido Fujita, A Multitask Multiview Clustering Algorithm in Heterogeneous Situations based on LLE and LE, Knowledge-Based Systems, 163: 776-786, 2019 (SCI, EI, CCF C类期刊, 入选ESI高被引论文)
53. Wenting Ye, Hongjun Wang, Shan Yan, Tianrui Li,Yan Yang, Nonnegative Matrix Factorization for Clustering Ensemble based on Dark Knowledge, Knowledge-Based Systems, 163: 624-631, 2019 (SCI, EI, CCF C类期刊)
52. Shengdong Du,Tianrui Li, Yan Yang, Shi-Jinn Horng, Deep Air Quality Forecasting Using Hybrid Deep Learning Framework, IEEE Transactions on Knowledge and Data Engineering, DOI:10.1109/TKDE.2019.**, 2019 (SCI, EI, CC A类期刊)
51. Vinath Mekthanavanh, Tianrui Li, Jie Hu, Yan Yang, Social Web Video Clustering Based on Multi-modal and Clustering Ensemble, Neurocomputing, 366(13): 234-247, 2019 (SCI, EI, CCF C类期刊)
50. Vinath Mekthanavanh, Tianrui Li, Hua Meng,Yan Yang, Jie Hu, Social Web Video Clustering Based on Multi-View Clustering via Nonnegative Matrix Factorization, International Journal of Machine Learning and Cybernetics, 10(10): 2779-2790, 2019 (SCI, EI)
49. Qi Rao,Yan Yang*, Yongquan Jiang, Condition Recognition of High Speed Train Bogie Based on Multi-view Kernel FCM, Big data mining and analytics, 2(1): 1-11, 2019 (EI)
48. Hao Wang, Linlin Zong, Bing Liu,Yan Yang*, Wei Zhou, Spectral Perturbation Meets Incomplete Multi-view Data, IJCAI2019, 2019: 3677-3683 (EI, CCF A类会议)
47. Hao Wang, Bing Liu, Chaozhuo Li,Yan Yang, Tianrui Li, Learning with Noisy Labels for Sentence-level Sentiment Classification, EMNLP/IJCNLP, 2019: 6285-6291 (EI, CCF B类会议)
46. Xiaobo Zhang, Yan Yang*, Hao Wang, Shangming Ning, Heng Wang, Deep Neural Networks with Broad Views for Parkinson's Disease Screening, BIBM, 2019: 1018-1022 (EI, CCF B类会议)
45. Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang, Forward and Backward Knowledge Transfer for Sentiment Classification, ACML2019, 101: 457-472 (CCF C类会议)
44. Wei Zhou, Hao Wang,Yan Yang*, Consensus Graph Learning for Incomplete Multi-view Clustering, PAKDD, 2019: 529-540 (EI, CCF C类会议)
43. Xiaobo Zhang,Yan Yang*, Tianrui Li, Hao Wang, Ziqing He, Discovering Senile Dementia from Brain MRI using Ra-DenseNet, PAKDD, 2019: 449-460 (EI, CCF C类会议)
42. Licheng Shen,Yan Yang*, SE-GAN: A Swap Ensemble GAN Framework, IJCNN2019, N-20411 (EI, CCF C类会议)
41. Shengdong Du, Tianrui Li,Yan Yang, Xun Gong, Shi-Jinn Horng, An LSTM based Encoder-Decoder Model for Multi-Step Traffic Flow Prediction, IJCNN2019, N-19005 (CCF C类会议)
40. Yiling Zhang, Yan Yang*, Wei Zhou, Xiaocao Ouyang, Xiaobo Zhang, A Consensus Clustering Algorithm for Multi-task Multi-view Learning, ISKE, 2019: 1188-1195 (EI, Best Paper Award)
39. 翟冠霖，杨燕*，汪衡，杜圣东，面向教育大数据情感分类的多方面情感注意力模型，模式识别与人工智能, 32(9): 828-834, 2019
38.Yan Yang, Fei Teng, Tianrui Li, Hao Wang, Hongjun Wang, Qi Zhang, Parallel Semi-Supervised Multi-Ant Colonies Clustering Ensemble Based on MapReduce Methodology, IEEE Trans. Cloud Computing 6(3): 857-867, 2018 (SCI, EI)
37.Yan Yang, Hao Wang, Multi-view Clustering: A Survey, Big Data Mining and Analytics, 1(2): 83-107, 2018 (EI)
36. Xiaojing Chang,Yan Yang*, Hongjun Wang, Multi-view Construction for Clustering Based on Feature Set Partitioning, IJCNN, 2018: 2319-2326 (EI, CCF C类会议)
35. Dongjie Wang,Yan Yang*, Shangming Ning, DeepSTCL: A Deep Spatiotemporal ConvLSTM for Travel Demand Prediction, IJCNN, 2018: 2897-2904 (EI, CCF C类会议)
34. Xiaobo Zhang, Yan Yang*, Hongjun Wang, Ping Deng, Analysis of Senile Dementia from the Brain Magnetic Resonance Imaging Data with Clustering, FLINS2018&ISKE2018, 1454-1461 (Best Poster Award)
33. 任朝淦，杨燕*，贾真，唐慧佳，喻琇瑛，基于注意力机制的问句实体链接，模式识别与人工智能, 31(12): 1127-1133, 2018
32. Jie Hu, Tianrui Li, Chuan Luo, Hamido Fujita,Yan Yang, Incremental Fuzzy Cluster Ensemble Learning Based on Rough Set Theory. Knowledge-Based Systems, 132: 144-155, 2017 (SCI, EI, CCF C类期刊)
31. Peirui Zhang,Yan Yang*, Bo Peng, Mengjiao He, Multi-view Clustering Algorithm Based on Variable Weight and MKL, IJCRS2017, LNAI10313: 599-610 (EI)
30. Yingge Xu,Yan Yang*, Hongjun Wang, Jie Hu, An Overlapping Clustering Approach with Distinct Overlapped Weight, IJCRS2017, LNAI10313: 611-619 (EI)

2006-2016
29. Wenchao Xiao,Yan Yang*, Hongjun Wang, Tianrui Li, Huanlai Xing, Semi-supervised Hierarchical Clustering Ensemble and Its Application, Neurocomputing, 173(3): 1362-1376, 2016 (SCI, EI, CCF C类期刊)
28. Shudong Huang, Hongjun Wang, Tao Li,Yan Yang, Tianrui Li, Constraint Co-projections for Semi-supervised Co-clustering, IEEE Transactions on Cybernetics, 46(12): 3047-3058, 2016 (SCI, EI, CCF B类期刊)
27. Bo Peng, Xingzheng Wang,Yan Yang, Region Based Exemplar References for Image Segmentation Evaluation, IEEE Signal processing letters, 23(4): 459-462, 2016 (SCI, EI, CCF C类期刊)
26. Zhaoyuan Wang, Huanlai Xing, Tianrui Li,Yan Yang, Rong Qu, Yi Pan, A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization, IEEE Transaction on Evolutionary Computation, 20(3): 325-342, 2016 (SCI, EI, CCF B类期刊)
25. Hao Wang,Yan Yang*, Tianrui Li, Multi-View Clustering via Concept Factorization with Local Manifold Regularization, ICDM, 2016: 1245-1250 (EI, CCF B类会议)
24. Chao Guo,Yan Yang*, Hong Pan, Tianrui Li, Weidong Jin, Fault Analysis of High Speed Train with DBN Hierarchical Ensemble, IJCNN, 2016: 2552-2559 (EI, CCF C类会议)
23. Mengjiao He,Yan Yang*, Hongjun Wang, Learning Latent Features for Multi-view clustering based on NMF, IJCRS2016, LNAI9920: 459-469 (EI)
22. Zhonglin Ye,Yan Yang*, Zhen Jia, Hongfeng Yin, Character Relation Extraction Based on the Combination of Multi-view Ensemble and Multi-classifier Ensemble, ICCC, 2016: 629-632 (EI)
21. 褚睿鸿，王红军，杨燕，李天瑞，基于密度峰值的聚类集成，自动化学报, 42(9): 1401-1412, 2016 (EI）
20. Amjad Mahmood, Tianrui Li,Yan Yang, Hongjun Wang, Mehtab Afzal, Semi-Supervised Evolutionary Ensembles for Web Video Categorization, Knowledge-Based Systems, 76: 53-66, 2015 (SCI, EI, CCF C类期刊)
19. Shudong Huang, Hongjun Wang, Dengcheng Li,Yan Yang, Tianrui Li, Spectral Co-clustering Ensemble, Knowledge-Based Systems, 84: 46-55, 2015 (SCI, EI, CCF C类期刊)
18. Jipeng Xie,Yan Yang*, Hao Wang, Tianrui Li, Weidong Jin, Fault Diagnosis in High-speed Train Running Gears with improved Deep Belief Networks, Journal of Computational Information Systems, 11(24): 7723-7730, 2015
17. Xiaolong Meng,Yan Yang*, Hongjun Wang, Fuzzy spectral partition ensemble based on occasion, ISKE, 2015: 40-45 (EI)
16. Wenchao Xiao,Yan Yang*, Huanlai Xing, Xiaolong Meng, Clustering Algorithm Based on Fruit Fly Optimization, RSKT, 2015: 408-419 (EI)
15. Muhammad Zia-ur Rehman, Tianrui Li,Yan Yang, Hongjun Wang, Hyper-ellipsoidal Clustering Technique for Evolving Data Stream, Knowledge-Based Systems, 70: 3-14, 2014 (SCI, EI, CCF C类期刊)
14. Hongjun Wang, Tao Li, Tianrui Li,Yan Yang, Constraint Neighborhood Projections for Semi-supervised Clustering, IEEE Transactions on Cybernetics, 44(5): 636-643, 2014 (SCI, EI, CCF B类期刊)
13. Hongjun Wang, Yinghui Zhang, Ruihua Nie,Yan Yang, Bo Peng, Tianrui Li, Bayesian image segmentation fusion, Knowledge-Based Systems, 71: 162-168, 2014 (SCI, EI, CCF C类期刊)
12. 杨燕，冯晨菲，贾真，王红军，一种基于链接的模糊聚类集成方法，电子科技大学学报, 43(6): 887-892, 2014 (EI)
11. 贾真，杨燕，何大可, 基于弱监督学习的中文百科数据属性抽取, 电子科技大学学报, 43(5): 758-763, 2014 (EI)
10. Jipeng Xie,Yan Yang*, Tianrui Li, Weidong Jin, Learning Features from High Speed Train Vibration Signals with Deep Belief Networks, IJCNN2014, 2205-2210 (EI, CCF C类会议)
9.Yan Yang, Tonny Rutayisire, Chao Lin, Tianrui Li, Fei Teng, An Improved Cop-Kmeans Clustering for Solving Constraint Violation Based on MapReduce Framework, Fundamenta Informaticae, 126(4): 301-318, 2013 (SCI, CCF C类期刊)
8. Xuyao Lu,Yan Yang*, Hongjun Wang, Selective Clustering Ensemble Based on Covariance, MCS2013, LNCS7872: 179–189, 2013 (EI)
7. Haishen Wang,Yan Yang*, Hongjun Wang, Dahai Chen, Soft-Voting Clustering Ensemble, MCS2013, LNCS7872: 307–318, 2013 (EI)
6.Yan Yang, Wei Tan, Tianrui Li, et al. Consensus Clustering Based on Constrained Self-Organizing Map and Improved Cop-Kmeans Ensemble in Intelligent Decision Support Systems, Knowledge-Based Systems, 32: 101-115, 2012 (SCI, EI, CCF C类期刊)
5.Yan Yang, Hongjun Wang, et al. Semi-supervised clustering ensemble based on multi-ant colonies algorithm, RSKT2012, LNAI7414: 302-309, 2012 (EI)
4.Yan Yang, Xianhua Ni, Hongjun Wang, et al. Parallel Implementation of Ant-based Clustering Algorithm Based on Hadoop, ICSI2012: 190-197 (EI)
3. Tonny Rutayisire, Yan Yang*, Chao Lin, Jinyuan Zhang, A Modified Cop-Kmeans Algorithm Based on Sequenced Cannot-Link Set, RSKT2011, LNAI6954: 217-225 (EI, Best Student Paper Runups)
2. Hengzheng Kang, Yan Yang*, Jintan Chen, An Ensemble Method of Adaptive Multiple Classifiers, ISKE, 2010: 215-217 (EI)
1.Yan Yang, Mohamed Kamel, An Aggregated Clustering Approach Using Multi-Ant Colonies Algorithms, Pattern Recognition, 39(7): 1278-1289, 2006 (SCI, EI, CCF B类期刊)





研究领域
人工智能
大数据分析与挖掘
集成学习与多视图学习
云计算与云服务




专利
暂无内容

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

---

个人信息Personal Information 职务： 党委委员、副院长
所在单位： 计算机与人工智能学院
学历： 博士研究生毕业
学位： 工学博士学位
主要任职： 教授/博导
毕业院校： 西南交通大学
学科：计算机科学与技术
软件工程


扫描关注

同专业博导同专业硕导


科研项目 当前位置： 中文主页 >> 科学研究 >> 科研项目
国家自然科学基金面上项目：基于多视图融合的序列数据深度学习模型研究（**），2020/1-2023/12，主持
国家重点研发计划课题：基于第三方产业链协同平台的分布式数据空间研发与应用示范（2019YFB**），2019/12-2022/11，参与
国家自然科学基金面上项目：多视图半监督聚类集成方法及应用研究（**），2016/1-2019/12，主持
国家科技支撑计划课题：科技业务云服务平台研发与应用示范（2015BAH19F02），2015/7-2017/12，主持
四川省科技支撑计划项目：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），2014/7-016/6，主持
国家自然科学基金国际（地区）合作与交流项目：2013生物识别与安全技术国际会议（），2013/8-2013/11，主持
国家自然科学基金面上项目：基于半监督学习的聚类集成机理及高效算法研究（**），2012/1-2015/12，主持
国家自然科学基金重点项目：基于监测数据的高速列车服役安全性态评估的关键问题研究（**），2012/1-2016/12，主研
国家自然科学基金主任专项项目：基于人机共建智慧平台的语义搜索引擎（**），2012/1-2012/12，主研
牵引动力国家重点实验室自主研究课题：基于云计算的海量高铁数据处理关键技术研究（2012TPL_T15），2012/1-2014/12，主持


铁道部科技研究开发计划课题：高速铁路养护维修技术研究-高速铁路轨道状态预测分析及诊断技术研究（2010G006-D），2010/2-2011/12，主研







Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
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学科：计算机科学与技术
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论文成果 当前位置： 中文主页 >> 科学研究 >> 论文成果
Selected Papers


2021
70. Yiling Zhang, Yan Yang*, Wei Zhou, Hao Wang, Xiaocao Ouyang, Multi-city Traffic Flow Forecasting via Multi-task Learning, Applied Intelligence, DOI: 10.1007/s10489-020-02074-8, 2021
69. Xiaobo Zhang, Yan Yang*, Tianrui Li, Yiling Zhang, Hao Wang, Hamido Fujita, CMC: A Consensus Multi-view Clustering Model for Predicting Alzheimer’s Disease Progression, Computer Methods and Programs in Biomedicine, 199: 105895, DOI: 10.1007/s10489-020-02074-8, 2021
68. Jie Hu, Yi Pan, Tianrui Li, Yan Yang, TW-Co-MFC: Two-level Weighted Collaborative Fuzzy Clustering based on Maximum Entropy for Multi-view Data, Tsinghua Science and Technology, 26(2): 185-198, 2021
67. Zaid Al-Huda, Bo Peng, Yan Yang, et al., Weakly Supervised Semantic Segmentation by Iteratively Refining Optimal Segmentation with DeepCuesGuidance, Neural Computing and Applications, DOI:10.1007/s00521-020-05669-x, 2021 (SCI, EI, CCF C类期刊)
66. Zaid Al-Huda, Bo Peng, Yan Yang, et al., Object scale selection of hierarchical image segmentation with deep seeds, IET Image Processing, 15(1): 191-205, 2021 (SCI, EI, CCF C类期刊)

2017-2020
65. Hao Wang, Yan Yang*, Bing Liu, GMC: Graph-based Multi-view Clustering, IEEE Transactions on Knowledge and Data Engineering, 32(6): 1116-1129, 2020 (SCI, EI, CCF A类期刊, 入选ESI热点论文和高被引论文)
64. Hao Wang, Yan Yang*, Xiaobo Zhang, Bo Peng, Parallel Multi-view Concept Clustering in Distributed Computing, Neural Computing and Applications, 32(10): 5621-5631, 2020 (SCI, EI, CCF C类期刊)
63. Wei Zhou, Yan Yang*, Yiling Zhang, Dongjie Wang, Xiaobo Zhang, Deep Flexible Structured Spatial-Temporal Model for Taxi Capacity Prediction, Knowledge-Based Systems, 205: 106286, DOI: 10.1016/j.knosys.2020.106286, 2020 (SCI, EI, CCF C类期刊)
62. Chao Guo,Yan Yang*, Yongquan Jiang, Tianrui Li, Condition Analysis of High-speed Train based on Similarity Ratio and MDBN, Computing in Science and Engineering, 22(1): 64-76, 2020 (SCI, EI)
61. Guanlin Zhai, Yan Yang*, Heng Wang, Shengdong Du, Multi-Attention Fusion Modeling for Sentiment Classification of Educational Big Data, Big data mining and analytics, 3(4): 311-319, 2020
60. Shengdong Du,Tianrui Li, Yan Yang, Shi-Jinn Horng, Multivariate Time Series Forecasting via Attention-based Encoder-decoder Framework, Neurocomputing, 388: 269-279, 2020 (SCI, EI, CCF C类期刊)
59. Xiaobo Zhang, Donghai Zhai, Yan Yang, Yiling Zhang, Chunlin Wang, A Novel Semi-supervised Multi-view Clustering Framework for Screening Parkinson’s Disease, Mathematical Biosciences and Engineering, 17(4): 3395–3411, 2020 (SCI, EI)

58. HaoWang,ShuaiWang,SahisnuMazumder,BingLiu,YanYang,TianruiLi, Bayes-enhanced Lifelong AttentionNetworksfor SentimentClassification, COLING, 2020: 580-591 (CCF B类会议)
57. 夏冬雪，杨燕*，王浩，阳树洪，基于邻域多核学习的后融合多视图聚类算法，计算机研究与发展，57(8): 1627-1638, 2020 (EI)

56. 杜圣东，李天瑞，杨燕，王浩，谢鹏，洪西进，一种基于序列到序列时空注意力学习的交通流预测模型，计算机研究与发展，57(8): 1715-1728, 2020 (EI)
55. Hao Wang,Yan Yang*, Bing Liu, Hamido Fujita, A Study of Graph-based System for Multi-view Clustering, Knowledge-Based Systems, 163: 1009-1019, 2019 (SCI, EI, CCF C类期刊, 入选ESI热点论文和高被引论文)
54. Yiling Zhang,Yan Yang*, Tianrui Li, Hamido Fujita, A Multitask Multiview Clustering Algorithm in Heterogeneous Situations based on LLE and LE, Knowledge-Based Systems, 163: 776-786, 2019 (SCI, EI, CCF C类期刊, 入选ESI高被引论文)
53. Wenting Ye, Hongjun Wang, Shan Yan, Tianrui Li,Yan Yang, Nonnegative Matrix Factorization for Clustering Ensemble based on Dark Knowledge, Knowledge-Based Systems, 163: 624-631, 2019 (SCI, EI, CCF C类期刊)
52. Shengdong Du,Tianrui Li, Yan Yang, Shi-Jinn Horng, Deep Air Quality Forecasting Using Hybrid Deep Learning Framework, IEEE Transactions on Knowledge and Data Engineering, DOI:10.1109/TKDE.2019.**, 2019 (SCI, EI, CC A类期刊)
51. Vinath Mekthanavanh, Tianrui Li, Jie Hu, Yan Yang, Social Web Video Clustering Based on Multi-modal and Clustering Ensemble, Neurocomputing, 366(13): 234-247, 2019 (SCI, EI, CCF C类期刊)
50. Vinath Mekthanavanh, Tianrui Li, Hua Meng,Yan Yang, Jie Hu, Social Web Video Clustering Based on Multi-View Clustering via Nonnegative Matrix Factorization, International Journal of Machine Learning and Cybernetics, 10(10): 2779-2790, 2019 (SCI, EI)
49. Qi Rao,Yan Yang*, Yongquan Jiang, Condition Recognition of High Speed Train Bogie Based on Multi-view Kernel FCM, Big data mining and analytics, 2(1): 1-11, 2019 (EI)
48. Hao Wang, Linlin Zong, Bing Liu,Yan Yang*, Wei Zhou, Spectral Perturbation Meets Incomplete Multi-view Data, IJCAI2019, 2019: 3677-3683 (EI, CCF A类会议)
47. Hao Wang, Bing Liu, Chaozhuo Li,Yan Yang, Tianrui Li, Learning with Noisy Labels for Sentence-level Sentiment Classification, EMNLP/IJCNLP, 2019: 6285-6291 (EI, CCF B类会议)
46. Xiaobo Zhang, Yan Yang*, Hao Wang, Shangming Ning, Heng Wang, Deep Neural Networks with Broad Views for Parkinson's Disease Screening, BIBM, 2019: 1018-1022 (EI, CCF B类会议)
45. Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang, Forward and Backward Knowledge Transfer for Sentiment Classification, ACML2019, 101: 457-472 (CCF C类会议)
44. Wei Zhou, Hao Wang,Yan Yang*, Consensus Graph Learning for Incomplete Multi-view Clustering, PAKDD, 2019: 529-540 (EI, CCF C类会议)
43. Xiaobo Zhang,Yan Yang*, Tianrui Li, Hao Wang, Ziqing He, Discovering Senile Dementia from Brain MRI using Ra-DenseNet, PAKDD, 2019: 449-460 (EI, CCF C类会议)
42. Licheng Shen,Yan Yang*, SE-GAN: A Swap Ensemble GAN Framework, IJCNN2019, N-20411 (EI, CCF C类会议)
41. Shengdong Du, Tianrui Li,Yan Yang, Xun Gong, Shi-Jinn Horng, An LSTM based Encoder-Decoder Model for Multi-Step Traffic Flow Prediction, IJCNN2019, N-19005 (CCF C类会议)
40. Yiling Zhang, Yan Yang*, Wei Zhou, Xiaocao Ouyang, Xiaobo Zhang, A Consensus Clustering Algorithm for Multi-task Multi-view Learning, ISKE, 2019: 1188-1195 (EI, Best Paper Award)
39. 翟冠霖，杨燕*，汪衡，杜圣东，面向教育大数据情感分类的多方面情感注意力模型，模式识别与人工智能, 32(9): 828-834, 2019
38.Yan Yang, Fei Teng, Tianrui Li, Hao Wang, Hongjun Wang, Qi Zhang, Parallel Semi-Supervised Multi-Ant Colonies Clustering Ensemble Based on MapReduce Methodology, IEEE Trans. Cloud Computing 6(3): 857-867, 2018 (SCI, EI)
37.Yan Yang, Hao Wang, Multi-view Clustering: A Survey, Big Data Mining and Analytics, 1(2): 83-107, 2018 (EI)
36. Xiaojing Chang,Yan Yang*, Hongjun Wang, Multi-view Construction for Clustering Based on Feature Set Partitioning, IJCNN, 2018: 2319-2326 (EI, CCF C类会议)
35. Dongjie Wang,Yan Yang*, Shangming Ning, DeepSTCL: A Deep Spatiotemporal ConvLSTM for Travel Demand Prediction, IJCNN, 2018: 2897-2904 (EI, CCF C类会议)
34. Xiaobo Zhang, Yan Yang*, Hongjun Wang, Ping Deng, Analysis of Senile Dementia from the Brain Magnetic Resonance Imaging Data with Clustering, FLINS2018&ISKE2018, 1454-1461 (Best Poster Award)
33. 任朝淦，杨燕*，贾真，唐慧佳，喻琇瑛，基于注意力机制的问句实体链接，模式识别与人工智能, 31(12): 1127-1133, 2018
32. Jie Hu, Tianrui Li, Chuan Luo, Hamido Fujita,Yan Yang, Incremental Fuzzy Cluster Ensemble Learning Based on Rough Set Theory. Knowledge-Based Systems, 132: 144-155, 2017 (SCI, EI, CCF C类期刊)
31. Peirui Zhang,Yan Yang*, Bo Peng, Mengjiao He, Multi-view Clustering Algorithm Based on Variable Weight and MKL, IJCRS2017, LNAI10313: 599-610 (EI)
30. Yingge Xu,Yan Yang*, Hongjun Wang, Jie Hu, An Overlapping Clustering Approach with Distinct Overlapped Weight, IJCRS2017, LNAI10313: 611-619 (EI)

2006-2016
29. Wenchao Xiao,Yan Yang*, Hongjun Wang, Tianrui Li, Huanlai Xing, Semi-supervised Hierarchical Clustering Ensemble and Its Application, Neurocomputing, 173(3): 1362-1376, 2016 (SCI, EI, CCF C类期刊)
28. Shudong Huang, Hongjun Wang, Tao Li,Yan Yang, Tianrui Li, Constraint Co-projections for Semi-supervised Co-clustering, IEEE Transactions on Cybernetics, 46(12): 3047-3058, 2016 (SCI, EI, CCF B类期刊)
27. Bo Peng, Xingzheng Wang,Yan Yang, Region Based Exemplar References for Image Segmentation Evaluation, IEEE Signal processing letters, 23(4): 459-462, 2016 (SCI, EI, CCF C类期刊)
26. Zhaoyuan Wang, Huanlai Xing, Tianrui Li,Yan Yang, Rong Qu, Yi Pan, A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization, IEEE Transaction on Evolutionary Computation, 20(3): 325-342, 2016 (SCI, EI, CCF B类期刊)
25. Hao Wang,Yan Yang*, Tianrui Li, Multi-View Clustering via Concept Factorization with Local Manifold Regularization, ICDM, 2016: 1245-1250 (EI, CCF B类会议)
24. Chao Guo,Yan Yang*, Hong Pan, Tianrui Li, Weidong Jin, Fault Analysis of High Speed Train with DBN Hierarchical Ensemble, IJCNN, 2016: 2552-2559 (EI, CCF C类会议)
23. Mengjiao He,Yan Yang*, Hongjun Wang, Learning Latent Features for Multi-view clustering based on NMF, IJCRS2016, LNAI9920: 459-469 (EI)
22. Zhonglin Ye,Yan Yang*, Zhen Jia, Hongfeng Yin, Character Relation Extraction Based on the Combination of Multi-view Ensemble and Multi-classifier Ensemble, ICCC, 2016: 629-632 (EI)
21. 褚睿鸿，王红军，杨燕，李天瑞，基于密度峰值的聚类集成，自动化学报, 42(9): 1401-1412, 2016 (EI）
20. Amjad Mahmood, Tianrui Li,Yan Yang, Hongjun Wang, Mehtab Afzal, Semi-Supervised Evolutionary Ensembles for Web Video Categorization, Knowledge-Based Systems, 76: 53-66, 2015 (SCI, EI, CCF C类期刊)
19. Shudong Huang, Hongjun Wang, Dengcheng Li,Yan Yang, Tianrui Li, Spectral Co-clustering Ensemble, Knowledge-Based Systems, 84: 46-55, 2015 (SCI, EI, CCF C类期刊)
18. Jipeng Xie,Yan Yang*, Hao Wang, Tianrui Li, Weidong Jin, Fault Diagnosis in High-speed Train Running Gears with improved Deep Belief Networks, Journal of Computational Information Systems, 11(24): 7723-7730, 2015
17. Xiaolong Meng,Yan Yang*, Hongjun Wang, Fuzzy spectral partition ensemble based on occasion, ISKE, 2015: 40-45 (EI)
16. Wenchao Xiao,Yan Yang*, Huanlai Xing, Xiaolong Meng, Clustering Algorithm Based on Fruit Fly Optimization, RSKT, 2015: 408-419 (EI)
15. Muhammad Zia-ur Rehman, Tianrui Li,Yan Yang, Hongjun Wang, Hyper-ellipsoidal Clustering Technique for Evolving Data Stream, Knowledge-Based Systems, 70: 3-14, 2014 (SCI, EI, CCF C类期刊)
14. Hongjun Wang, Tao Li, Tianrui Li,Yan Yang, Constraint Neighborhood Projections for Semi-supervised Clustering, IEEE Transactions on Cybernetics, 44(5): 636-643, 2014 (SCI, EI, CCF B类期刊)
13. Hongjun Wang, Yinghui Zhang, Ruihua Nie,Yan Yang, Bo Peng, Tianrui Li, Bayesian image segmentation fusion, Knowledge-Based Systems, 71: 162-168, 2014 (SCI, EI, CCF C类期刊)
12. 杨燕，冯晨菲，贾真，王红军，一种基于链接的模糊聚类集成方法，电子科技大学学报, 43(6): 887-892, 2014 (EI)
11. 贾真，杨燕，何大可, 基于弱监督学习的中文百科数据属性抽取, 电子科技大学学报, 43(5): 758-763, 2014 (EI)
10. Jipeng Xie,Yan Yang*, Tianrui Li, Weidong Jin, Learning Features from High Speed Train Vibration Signals with Deep Belief Networks, IJCNN2014, 2205-2210 (EI, CCF C类会议)
9.Yan Yang, Tonny Rutayisire, Chao Lin, Tianrui Li, Fei Teng, An Improved Cop-Kmeans Clustering for Solving Constraint Violation Based on MapReduce Framework, Fundamenta Informaticae, 126(4): 301-318, 2013 (SCI, CCF C类期刊)
8. Xuyao Lu,Yan Yang*, Hongjun Wang, Selective Clustering Ensemble Based on Covariance, MCS2013, LNCS7872: 179–189, 2013 (EI)
7. Haishen Wang,Yan Yang*, Hongjun Wang, Dahai Chen, Soft-Voting Clustering Ensemble, MCS2013, LNCS7872: 307–318, 2013 (EI)
6.Yan Yang, Wei Tan, Tianrui Li, et al. Consensus Clustering Based on Constrained Self-Organizing Map and Improved Cop-Kmeans Ensemble in Intelligent Decision Support Systems, Knowledge-Based Systems, 32: 101-115, 2012 (SCI, EI, CCF C类期刊)
5.Yan Yang, Hongjun Wang, et al. Semi-supervised clustering ensemble based on multi-ant colonies algorithm, RSKT2012, LNAI7414: 302-309, 2012 (EI)
4.Yan Yang, Xianhua Ni, Hongjun Wang, et al. Parallel Implementation of Ant-based Clustering Algorithm Based on Hadoop, ICSI2012: 190-197 (EI)
3. Tonny Rutayisire, Yan Yang*, Chao Lin, Jinyuan Zhang, A Modified Cop-Kmeans Algorithm Based on Sequenced Cannot-Link Set, RSKT2011, LNAI6954: 217-225 (EI, Best Student Paper Runups)
2. Hengzheng Kang, Yan Yang*, Jintan Chen, An Ensemble Method of Adaptive Multiple Classifiers, ISKE, 2010: 215-217 (EI)
1.Yan Yang, Mohamed Kamel, An Aggregated Clustering Approach Using Multi-Ant Colonies Algorithms, Pattern Recognition, 39(7): 1278-1289, 2006 (SCI, EI, CCF B类期刊)









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地址：中国四川省成都市高新区西部园区西南交通大学
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个人信息Personal Information 职务： 党委委员、副院长
所在单位： 计算机与人工智能学院
学历： 博士研究生毕业
学位： 工学博士学位
主要任职： 教授/博导
毕业院校： 西南交通大学
学科：计算机科学与技术
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研究领域 当前位置： 中文主页 >> 科学研究 >> 研究领域
人工智能
大数据分析与挖掘
集成学习与多视图学习
云计算与云服务








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
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个人信息Personal Information 职务： 党委委员、副院长
所在单位： 计算机与人工智能学院
学历： 博士研究生毕业
学位： 工学博士学位
主要任职： 教授/博导
毕业院校： 西南交通大学
学科：计算机科学与技术
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个人信息Personal Information 职务： 党委委员、副院长
所在单位： 计算机与人工智能学院
学历： 博士研究生毕业
学位： 工学博士学位
主要任职： 教授/博导
毕业院校： 西南交通大学
学科：计算机科学与技术
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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

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个人信息Personal Information 职务： 党委委员、副院长
所在单位： 计算机与人工智能学院
学历： 博士研究生毕业
学位： 工学博士学位
主要任职： 教授/博导
毕业院校： 西南交通大学
学科：计算机科学与技术
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授课信息
Introduction and Frontiers of Computer Science /IFCS
Operating Systems /OS
Analysis and Design of Operating Systems /ADOS
Pattern Recognition /PR
Intelligence Information Processing and Data Mining /IIPDM

教学成果
融合学科资源，突出工程能力，构建轨道交通特色信息类创新人才实践培养体系，四川省第八届高等教育教学成果二等奖（排名第2），2018
强化人才培养质量与特色，创新交通信息类人才培养体系，第七届高等教育四川省教学成果三等奖，（排名第3），2013
人工智能+跨学科课程体系探索与实践，西南交通大学2016-2020年校级教学成果一等奖（排名第1），2020
基于大数据技术的个性化教育应用及实践，西南交通大学2016年度校级教学成果一等奖（排名第1），2016





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