杨燕 教授

博士生导师

硕士生导师

个人信息Personal Information


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

所在单位:计算机与人工智能学院

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1、参加西南交通大学暑期夏令营活动,提交导师意向时,选择杨燕老师,你的所有申请信息将发送给杨燕老师,老师看到后将和你取得联系,点击此处参加夏令营活动

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3、参加全国硕士研究生统一招生考试报考杨燕老师招收的专业和方向,进入复试后提交导师意向时选择杨燕老师。

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  • 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(61976247),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(2019YFB1705602),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(61572407),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(61310306047),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(61170111),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(61134002),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(61152001),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

  • Selected Papers


    Hao Wang, Yan Yang*, Bing Liu, GMC: Graph-based Multi-view Clustering, IEEE Transactions on Knowledge and Data Engineering, 2020, 32(6): 1116-1129, (SCI, EI, CCF A类期刊, 入选2021年度中国百篇最具影响国际学术论文,ESI热点论文和高被引论文)

     

    2021-2023

    78. Jie Wang, Yan Yang*, Keyu Liu, Zhiping Zhu, Xiaorong Liu, M3S: Scene graph driven Multi-granularity Multi-task learning for Multi-modal NER, IEEE Transactions on Audio, Speech and Language Processing, 2023, 31: 111-120 (SCI, EI, CCF B类期刊)

    77. Dongxue Xia, Yan Yang*, Shuhong Yang, Tianrui Li, Incomplete multi-view clustering via kernelized graph learning, Information Science, 2023, 625: 1-19 (SCI, EI, CCF B类期刊)

    76. Zhuyang Xie, Yan Yang*, Yiling Zhang, Deep Learning on Multi-view Sequential Data: A Survey, Artificial Intelligence Review, 2023, DOI: 10.1007/s10462-022-10332-z (SCI, EI)

    75. Xiaocao Ouyang, Yan Yang*, Yiling Zhang, Wei Zhou, Dongyu Guo, Dual-Channel Spatial Temporal Graph Neural Network for PM2.5 Forecasting, Neural Computing and Applications, 2023, DOI : 10.1007/s00521-022-08036-0 (SCI, EI)

    74. Dongxue Xia, Yan Yang*, Shuhong Yang, Incomplete Multi-View Clustering via Auto-Weighted Fusion In Partition Space,Tsinghua Science and Technology, 2023, 28(3): 595–611 (SCI, EI)

    73. Yong Bie, Yan Yang*, Yiling Zhang, Fusing Syntactic Structure Information and Lexical Semantic Information for End-to-end Aspect-based Sentiment Analysis, Tsinghua Science and Technology, 2023, 28(2): 230 -243 (SCI, EI)

    72. Xiaohui Lin, Yongquan Jiang, Yan Yang, Molecular distance matrix prediction based on graph convolutional networks, Journal of Molecular Structure, 2022, 1257: 132540 (SCI, EI)

    71. Hui Bai, Yan Yang*, Jie Wang, Exploiting More Associations between Slots for Multi-domain Dialogue State Tracking, Big data mining and analytics, 2022, 5(1): 41-52 (SCI, EI)

    70. 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(4): 1373-1389 (EI)

    69. Jie Wang, Yan Yang*, Keyu Liu, Peng Xie, Xiaorong Liu, Object-aware Fake News Detection in Social Media with Multi-modal Graph Fusion, PAKDD, 2022, LNCS13280: 510-521 (EI)

    68. Wei Zhou, Hao Wang, Yiling Zhang, Cheng Long, Yan Yang*Dongjie Wang, Multi-scale Progressive Gated Transformer for Physiological Signal Classification, ACML, 2022, 189 (EI)

    67. 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, 2021, 33(6): 2412-2424 (SCI, EI, CC A类期刊,入选ESI高被引论文)

    66. Yiling Zhang, Hao Wang, Yan Yang*, Wei Zhou, Tianrui Li, Xiaocao Ouyang, Hongyang Chen, Deep matrix factorization with knowledge transfer for lifelong clustering and semi-supervised clustering, Information Science, 2021, 570: 795-814 (SCI, EI, CCF B类期刊)

    65. Xiaobo Zhang, Yan Yang, Donghai Zhai, Tianrui Li, Jielei Chu, Hao Wang, Local2Global: Unsupervised Multi-view Deep Graph Representation Learning with Nearest Neighbor Constraint, Knowledge-Based Systems, 2021, 231: 107439 (SCI, EI)

    64. Yiling Zhang, Yan Yang*, Wei Zhou, Hao Wang, Xiaocao Ouyang, Multi-city Traffic Flow Forecasting via Multi-task Learning, Applied Intelligence, 2021, 51: 6895-6913 (SCI, EI)

    63. 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, 2021, 199: 105895 (SCI, EI)

    62. 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 (SCI, EI)

    61. Zaid Al-Huda, Bo Peng, Yan Yang, et al., Weakly Supervised Semantic Segmentation by Iteratively Refining Optimal Segmentation with Deep Cues Guidance, Neural Computing and Applications, 2021, 33(15): 9035-9060 (SCI, EI)

    60. 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)

    59. Zaid Al-Huda, Donghai Zhai, Yan Yang, et al., Optimal Scale of Hierarchical Image Segmentation with Scribbles Guidance for Weakly Supervised Semantic Segmentation, International Journal of Pattern Recognition and Artificial Intelligence, 2021, 35(10): 2154026 (SCI, EI)

    58. Yong Bie, Yan Yang*, A Multi-Task Multi-View Neural Network for End-to-End Aspect-Based Sentiment Analysis, Big data mining and analytics, 2021, 4(3): 195-207 (EI)

    57. Xiaocao Ouyang, Yan Yang*, Yiling Zhang, Wei Zhou, Spatial-Temporal Dynamic Graph Convolution Neural Network for Air Quality Prediction, International Joint Conference on Neural Networks, IJCNN, 2021 (EI)

    56. Fan Lu, Yan Yang*, A Feature Aggregation Hourglass Network for Human Pose Estimation. International Joint Conference on Neural Networks, IJCNN, 2021 (EI)

    55. JinHong Miao, Yan Yang*, NonupleCLMR: Contrastive Learning of Musical Representation with NonupleMIDI, ISKE, 2021 (Best Paper Award)

     

    2017-2020

    54. Wei Zhou, Yan Yang*, Yiling Zhang, Dongjie Wang, Xiaobo Zhang, Deep Flexible Structured Spatial-Temporal Model for Taxi Capacity Prediction, Knowledge-Based Systems, 2020, 205: 106286 (SCI, EI)

    53. Hao Wang, Yan Yang*, Xiaobo Zhang, Bo Peng, Parallel Multi-view Concept Clustering in Distributed Computing, Neural Computing and Applications, 2020, 32(10): 5621-5631 (SCI, EI)

    52. 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, 2020, 22(1): 64-76 (SCI, EI)

    51. Guanlin Zhai, Yan Yang*, Heng Wang, Shengdong Du, Multi-Attention Fusion Modeling for Sentiment Classification of Educational Big Data, Big data mining and analytics, 2020, 3(4): 311-319 (EI)

    50. 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, 入选ESI高被引论文)

    49. 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, 2020, 17(4): 3395–3411 (SCI, EI)

    48. Hao Wang, Shuai Wang, Sahisnu Mazumder, Bing Liu, Yan Yang, Tianrui Li, Bayes-enhanced Lifelong Attention Networks for Sentiment Classification, COLING, 2020: 580-591 (CCF B类会议)

    47. 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)

    46. 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)

    45. 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, 入选ESI热点论文和高被引论文)

    44. 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, 入选ESI高被引论文)

    43. 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)

    42. 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)

    41. 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)

    40. 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)

    39. Hao Wang, Linlin Zong, Bing Liu, Yan Yang*, Wei Zhou, Spectral Perturbation Meets Incomplete Multi-view Data, IJCAI, 2019: 3677-3683 (EI, CCF A类会议)

    38. 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)

    37. 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)

    36. Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang, Forward and Backward Knowledge Transfer for Sentiment Classification, ACML, 2019, 101: 457-472 (EI)

    35. Wei Zhou, Hao Wang, Yan Yang*, Consensus Graph Learning for Incomplete Multi-view Clustering, PAKDD, 2019: 529-540 (EI)

    34. Xiaobo Zhang, Yan Yang*, Tianrui Li, Hao Wang, Ziqing He, Discovering Senile Dementia from Brain MRI using Ra-DenseNet, PAKDD, 2019: 449-460 (EI)

    33. Licheng Shen, Yan Yang*, SE-GAN: A Swap Ensemble GAN Framework, IJCNN, 2019, N-20411 (EI)

    32. Shengdong Du, Tianrui Li, Yan Yang, Xun Gong, Shi-Jinn Horng, An LSTM based Encoder-Decoder Model for Multi-Step Traffic Flow Prediction, IJCNN, 2019, N-19005

    31. 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)

    30. 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

    29. 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)

    28. Yan Yang, Hao Wang, Multi-view Clustering: A Survey, Big Data Mining and Analytics, 1(2): 83-107, 2018 (EI)

    27. Xiaojing Chang, Yan Yang*, Hongjun Wang, Multi-view Construction for Clustering Based on Feature Set Partitioning, IJCNN, 2018: 2319-2326 (EI)

    26. Dongjie Wang, Yan Yang*, Shangming Ning, DeepSTCL: A Deep Spatiotemporal ConvLSTM for Travel Demand Prediction, IJCNN, 2018: 2897-2904 (EI)

    25. 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)

    24. 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

    23. 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)

     

    2006-2016

    22. 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)

    21. 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)

    20. 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)

    19. 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)

    18. 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)

    17. 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)

    16. 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)

    15. 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)

    14. Shudong Huang, Hongjun Wang, Dengcheng Li, Yan Yang, Tianrui Li, Spectral Co-clustering Ensemble, Knowledge-Based Systems, 84: 46-55, 2015 (SCI, EI)

    13. 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

    12. 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)

    11. 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)

    10. 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)

    9. 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)

    8. 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)

    7. Jipeng Xie, Yan Yang*, Tianrui Li, Weidong Jin, Learning Features from High Speed Train Vibration Signals with Deep Belief Networks, IJCNN, 2014: 2205-2210 (EI)

    6. 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)

    5. Xuyao Lu, Yan Yang*, Hongjun Wang, Selective Clustering Ensemble Based on Covariance, MCS2013, LNCS7872: 179–189, 2013 (EI)

    4. Haishen Wang, Yan Yang*, Hongjun Wang, Dahai Chen, Soft-Voting Clustering Ensemble, MCS2013, LNCS7872: 307–318, 2013 (EI)

    3. 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)

    2. 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)

    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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