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. 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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论文成果

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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)

 

2023-2025

96. Zhuyang Xie, Yan Yang*, Yankai Yu, Jie Wang, Yongquan Jiang, Xiao Wu, Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-learning, AAAI, 2025: 8771-8779 (EI, CCF A类会议)

95. Yan Liu, Yan Yang*, Yongquan Jiang and Zhuyang Xie, FABRF-Net: A frequency-aware boundary and region fusion network for breast ultrasound image segmentation, information fusion, 2025, 123: 103299 (SCI, EI)

94. Zhuyang Xie, Yan Yang*, YanKai Yu, Jie Wang, Yan Liu and Yongquan Jiang, Segment-level Event Perception with Semantic Dictionary for Weakly Supervised Audio-Visual Video Parsing, Knowledge-Based Systems, 2025, 310: 112884 (SCI, EI)

93. Haochen Shi, Shengdong Du, Yan Yang, Junbo Zhang, Tianrui Li, Yu Zheng, A Knowledge-guided Pre-training Temporal Data Analysis Foundation Model for Urban Computing, IEEE Transactions on Knowledge and Data Engineering, 2025, 37(11): 6259-6271 (SCI, EI, CCF A类期刊)

92. Jie Wang, Tianrui Li, Yan Yang, Shiqian Cheng, Wanming Zhai, DiagLLM: Multimodal Reasoning with LJarge Language Model for Explainable Bearing Fault Diagnosis, Science China Information Sciences, 2025, 68(6): 160103 (SCI, EI)

91. Changlong Guo, Yan Yang*, Yongquan Jiang, Xiaobo Zhang, Xiaole Zhao, Jie Wang, Joint Multi-scale channel attention and Multi-perception head for underwater object detection, Big Data Mining and Analytics, 2025, 8(6): 1335-1352 (EI)

90. Yankai Yu, Yongquan Jiang, Yan Yang, Zhuyang Xie, Qun Lu, Simplified Directional Message Passing Neural Network for Prediction of Protein-Ligand Binding Affinity, Applied Soft Computing, 2025. 85, Part B (113983) (SCI, EI)

89. Yaohua Li, Xiaole Zhao, Xiaobo Zhang, Yan Yang, Tianrui Li, Long-Range Multi-Scale Fusion for Efficient Single Image Super-Resolution, ICASSP, 2025 (EI, CCF B类会议)

88. Keyu Shen, Xiaobo Zhang, Yutao Liu, Yan Yang, Xiaole Zhao, MGPDF: A Multi-modal Gaussian Process Decision-level Fusion Model for Parkinson's Disease Prediction, PAKDD, 2025, LNCS15871: 443-455 (EI)

87. Jihang Xue, Tianjun Luo, Yongquan Jiang, Yan Yang, Kuanpin Gong, Zigang Deng, Qingguo Feng, Weihua Zhang, TransMagNet: Prediction of Crystal System and Space Group for Crystalline Materials Based on Composition Using Deep Learning, Journal of Applied Crystallography,  2025, 58: 1870-1879

86. Xihan Li, Kuanping Gong, Yongquan Jiang, Yan Yang, Tianrui Li, MolRWKV: Conditional molecular generation model using local enhancement and graph enhancement by, Journal of Computational Chemistry, 2025, 46(10)

85. Mingyue He, Yongquan Jiang, Yan Yang, Kuanping Gong, Xuanpei Jiang, Yuan Tian, MSCMamba: Prediction of antimicrobial peptide activity values by fusing multiscale convolution with Mamba module, The Journal of Physical Chemistry B, 2025, 129(7): 1956-1965

84. 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)

83. 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)

82. 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)

81. 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)

80. 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)

79. 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)

78. 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)

77. 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)

76. 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)

75. 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)

74. 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)

73. 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)

72. 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

71. 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)

70. 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)

69. 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)

68. 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)

67. 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)

66. 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)

65. 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)

64. 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)

63. 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会议)

62. 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)

61. 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

 

2019-2022

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

59. 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)

58. 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)

57. 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)

56. 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)

55. 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)

54. 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)

53. 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)

52. 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)

51. 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)

50. 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)

49. 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)

48. 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)

47. 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)

46. 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)

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

44. 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)

43. 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)

42. 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)

41. 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)

40. 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)

39. 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)

38. 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)

37. 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)

36. 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)

35. 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)

34. 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)

33. 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)

32. 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)

31. 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)

30. 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)

29. 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)

28. 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)

27. 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)

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

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

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

23. 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)

22. 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

 

2006-2018

21. 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)

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

19. 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)

18. 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

17. 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)

16. 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)

15. 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)

14. 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)

13. 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)

12. 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)

11. 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)

10. 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)

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

8. 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

7. 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)

6. 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)

5. 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)

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)