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. 计算机应用技术. 计算机软件与理论. 软件工程
所在单位:计算机与人工智能学院
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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)
2022-2024
94. Xiaocao Ouyang, Yan Yang*, Yiling Zhang, Wei Zhou, Wei, Huang, CityTrans: Domain Adversarial with Knowledge Transfer for Spatial-Temporal Prediction across Cities, IEEE Transactions on Knowledge and Data Engineering, 2024, 36(1):62-76 (SCI, EI, CCF A类期刊)
93. Liyuan Zhang, Yongquan Jiang, Yan Yang, GNNGO3D: Protein Function Prediction Based on 3D Structure and Functional Hierarchy Learning, IEEE Transactions on Knowledge and Data Engineering, 2024, 36(8): 3867-3878 (SCI, EI, CCF A类期刊)
92. Zhuyang Xie, Yan Yang*, Jie Wang, Xiaorong Liu, and Xiaofan Li, Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal Sentiment Space, IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(8): 7657-7670 (SCI, EI, CCF B类期刊)
91. Jie Wang, Yan Yang*, Yongquan Jiang, Minbo Ma, Zhuyang Xie, Tianrui Li,Cross-Modal Incongruity Aligning and Collaborating for Multi-Modal Sarcasm Detection, Information Fusion, 2024, 103: 102132 (SCI, EI)
90. Jie Wang, Yan Yang*, Keyu Liu, Zhuyang Xie, Fan Zhang, Tianrui Li, CiteNet: Cross-modal Incongruity Perception Network for Multimodal Sentiment Prediction, Knowledge-Based Systems, 2024, 295: 111848 (SCI, EI)
89. Yan Liu, Yan Yang*, Yongquan Jiang, Zhuyang Xie, Multi-View Orientational Attention Network Combining Point-based Affinity for Polyp Segmentation, Expert Systems with Applications, 2024, 249: 123663: 1-16 (SCI, EI)
88. Yuerui Liu, Yongquan Jiang, Fan Zhang, Yan Yang, A novel multi-scale graph neural network for metabolic pathway prediction, IEEE/ACM Transaction on Computational Biology and Bioinformatics, 2024, 21(1): 178-187 (SCI, EI, CCF B类期刊)
87. Baoying Liu, Yongquan Jiang, Yan Yang, Jim X. Chen, OmeDDG: Improved protein mutation stability prediction based on predicted 3D structures, Journal of Physical Chemistry B, 2024, 128(1): 67-76 (SCI, EI)
86. Rong Pang, Yan Yang*, Aiguo Huang, Yan Liu, Peng Zhang, Guangwu Tang, Multi-Scale Feature Fusion Model for Bridge Appearance Defect Detection, Big Data Mining and Analytics, 2024, 7(1): 1-11 (EI)
85. Huan Cao, Shengdong Du, Jie Hu, Yan Yang, Shi-Jinn Horng, Tianrui Li, Graph Deep Active Learning Framework for Data Deduplication, Big Data Mining and Analytics, 2024, 7(3): 753-764 (EI)
84. Guikun Xu, Yongquan Jiang, PengChuan Lei, Yan Yang, Jim X. Chen, GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation, ICLR, 2024 (EI, CAAI A类会议)
83. Rong Pang, Hao Tan, Xun Xu, Yan Yang*, etc., A Novel SegNet model for Crack Image Semantic Segmentation in Bridge Inspection, PAKDD, 2024, LNAI14647, 344–355 (EI)
82. 庞荣, 杨燕*, 冷雄进, 张朋, 刘言, 基于双分支点流语义先验的路面病害分割模型, 智能系统学报, 2024, 19(1): 153-164
81. 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)
80. Xiaocao Ouyang, Yan Yang*, Yiling Zhang, Wei Zhou, Jihong Wan, Shengdong Du, Domain Adversarial Graph Neural Network with Cross-city Graph Structure Learning for Traffic Prediction, Knowledge-Based Systems, 2023, 278: 110885 (SCI, EI)
79. Zhuyang Xie, Yan Yang*, Yiling Zhang, Deep Learning on Multi-view Sequential Data: A Survey, Artificial Intelligence Review, 2023, 56(7): 6661-6704 (SCI, EI)
78. Yuting Zhou, Yongquan Jiang, Yan Yang, AGAT-PPIS: A novel protein-protein interaction site predictor based on Augmented Graph Attention Network with initial residual and identity mapping, Briefings in Bioinformatics, 2023, 24(3): 1-8 (SCI, EI)
77. Haozhe Hu, Yongquan Jiang, Yan Yang, Jim.X, Chen, BiG2S: A Dual Task Graph-to-Sequence Model for the End-to-End Template-Free Reaction Prediction, Applied Intelligence, 2023, 53(24): 29620-29637 (SCI, EI)
76. Xinyao Liu,Shengdong Du,Tianrui Li,Fei Teng,Yan Yang,A Missing Value Filling Model Based on Feature Fusion Enhanced Autoencoder, Applied Intelligence, 2023, 53(21): 24931-24946 (SCI, EI)
75. 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)
74. 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)
73. Hao Wang, Zhi-Qi Cheng, Jingdong Sun, Xin Yang, Xiao Wu, Hongyang Chen, Yan Yang*, Online Multi-view Anomaly Detection with Disentangled Product-of-Experts Modeling, ACM MM, 2023, 3277-3286 (EI, CCF A类会议)
72. Haozhe Hu, Yongquan Jiang, Yan Yang, Jim.X, Chen, Enhanced Template-Free Reaction Prediction with Molecular Graphs and Sequence-based Data Augmentation, CIKM, 2023, 813–822 (EI, CCF B类会议)
71. Ni Xiong, Yan Yang*, Yongquan Jiang, Xiaocao Ouyang, Diffusion Graph Neural Ordinary Differential Equation Network for Traffic Prediction, IJCNN, 2023 (EI)
70. 张智慧, 杨燕*,张熠玲,基于互信息最大化的深度不完整多视图聚类网络,智能系统学报,2023, 18(1):12-22
69. Xiaohui Lin, Yongquan Jiang, Yan Yang, Molecular distance matrix prediction based on graph convolutional networks, Journal of Molecular Structure, 2022, 1257: 132540 (SCI, EI)
68. 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)
67. 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)
66. 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)
65. 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)
2017-2021
64. 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)
63. 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)
62. 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)
61. 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)
60. 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)
59. 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)
58. 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)
57. 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)
56. 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)
55. 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)
54. 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)
53. Fan Lu, Yan Yang*, A Feature Aggregation Hourglass Network for Human Pose Estimation. International Joint Conference on Neural Networks, IJCNN, 2021 (EI)
52. JinHong Miao, Yan Yang*, NonupleCLMR: Contrastive Learning of Musical Representation with NonupleMIDI, ISKE, 2021 (Best Paper Award)
51. 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)
50. 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)
49. 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)
48. 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)
47. 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)
46. 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)
45. 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)
44. 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)
43. 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)
42. 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)
41. 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)
40. 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)
39. 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)
38. 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)
37. 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)
36. 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)
35. 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)
34. 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)
33. Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang, Forward and Backward Knowledge Transfer for Sentiment Classification, ACML, 2019, 101: 457-472 (EI)
32. Wei Zhou, Hao Wang, Yan Yang*, Consensus Graph Learning for Incomplete Multi-view Clustering, PAKDD, 2019: 529-540 (EI)
31. Xiaobo Zhang, Yan Yang*, Tianrui Li, Hao Wang, Ziqing He, Discovering Senile Dementia from Brain MRI using Ra-DenseNet, PAKDD, 2019: 449-460 (EI)
30. Licheng Shen, Yan Yang*, SE-GAN: A Swap Ensemble GAN Framework, IJCNN, 2019, N-20411 (EI)
29. 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
28. 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)
27. 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
26. 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)
25. Yan Yang, Hao Wang, Multi-view Clustering: A Survey, Big Data Mining and Analytics, 1(2): 83-107, 2018 (EI)
24. Xiaojing Chang, Yan Yang*, Hongjun Wang, Multi-view Construction for Clustering Based on Feature Set Partitioning, IJCNN, 2018: 2319-2326 (EI)
23. Dongjie Wang, Yan Yang*, Shangming Ning, DeepSTCL: A Deep Spatiotemporal ConvLSTM for Travel Demand Prediction, IJCNN, 2018: 2897-2904 (EI)
22. 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)
21. 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
20. 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
19. 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)
18. 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)
17. 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)
16. 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)
15. 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)
14. 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)
13. 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)
12. 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)
11. Shudong Huang, Hongjun Wang, Dengcheng Li, Yan Yang, Tianrui Li, Spectral Co-clustering Ensemble, Knowledge-Based Systems, 84: 46-55, 2015 (SCI, EI)
10. 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
9. 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)
8. 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)
7. 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)
6. 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)
5. 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)
4. 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)
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)