1.       Chenglin Zhang, Hong Yu, Guoyin Wang, et al. LiNGAM-SF: Causal Structural Learning Method With Linear Non-Gaussian Acyclic Models for Streaming Features. IEEE Transactions on Neural Networks and Learning Systems, 2025, 1-14. 

2.       Yan Xian, Hong Yu, Huaxiong Li, et al. Class Incremental Learning via Semantic Information Mapping and Background Information Calibrating. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(12): 13373-13385. 

3.    Hong Yu, Zongqiang Wang, Yongfang Xie, et al. A Multi-Granularity Hierarchical Network for Long- and Short-Term Forecasting on Multivariate Time Series Data. Applied Soft Computing, 2024, 157: 111537.

4.       Hong Yu, Xuekang Fan, Guoyin Wang, et al. VSG3A2: A Genetic Algorithm-Based Virtual Sample Generation Approach Using Information Gain and Acceptance-Rejection Sampling. IEEE Transactions on Evolutionary Computation, 2024, 28(5): 1514-1528,.

5.       Hong Yu, Jiangnan Gong, Guoyin Wang, et al. A Hybrid Model for Billet Tapping Temperature Prediction and Optimization in Reheating Furnace. IEEE Transactions on Industrial Informatics, 2023, 19(8)：8703-8712. 

6.       Xu Xiang, Hong Yu, Ye Wang, et al. Stable local interpretable model-agnostic explanations based on a variational autoencoder. Applied Intelligence, 2023, 53: 28226–28240.

7.   Hong Yu, Qian Yang, Guoyin Wang, et al. A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification. IEEE Transactions on Knowledge and Data Engineering, 2022, 34(10): 4572-4585.

8.       Peng Wu, Hong Yu, Feng Hu, et al. A temporal‑attribute attention neural network for mixed frequency data forecasting. International Journal of Machine Learning and Cybernetics, 2022,13: 2519–2531.

9.       Hong Yu, Jia Tang, Guoyin Wang, et al. A Novel Multi-View Clustering Method for Unknown Mapping Relationships Between Cross-View Samples[C]//In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21), 2021, 9: 2075-2083. 

10.    Hong Yu, Zhao Fu, Guoyin Wang, et al. A Multi-objective optimization algorithm based on dynamic user-preference information. Computing, 2022, 104(3): 627-656.

11.    ChaoFan He, Hong Yu, SongEn Gu, et al. A multi-granularity information-based method for learning high-dimensional Bayesian network structures. Cognitive Computation, 2022, 14(6): 1805-1817.

12.    Hong Yu, Xincheng Wang, Guoyin Wang, et al. An active three-way clustering method via low-rank matrices for multi-view data. Information Sciences, 2020, 507: 823-839.

13.    Hong Yu, Zhihua Chang, Guoyin Wang, et al. An efficient three-way clustering algorithm based on gravitational search. International Journal of Machine Learning and Cybernetics, 2020, 11: 1003-1016.

14.    Xiangpeng Li , Hong Yu , Yongfang Xie, et al. Attention-based novel neural network for mixed frequency data. CAAI Transactions on Intelligence Technology, 2021, 6(3): 301-311.

15.    Zhihan Peng, Hong Yu, Xiuyi Jia. Path-based reasoning with K-nearest neighbor and position embedding for knowledge graph completion. Journal of Intelligent Information Systems, 2021: 1-21. 

16.    Hong Yu, Xincheng Wang, Guoyin Wang, et al. An active three-way clustering method via low-rank matrices for multi-view data. Information Sciences, 2018, 507: 823-839.

17.    Hong Yu, Bing Zhou, Mingyao Deng, et al. Tag recommendation method in folksonomy based on user tagging status. Journal of Intelligent Information Systems, 2018, 50: 479-500.

18.    Hong Yu, Bing Zhou, Mingyao Deng, Feng Hu. Tag recommendation method in folksonomy based on user tagging status[J]. Journal of Intelligent Information Systems, 2018, 50(3):479-500.

19.    Hong Yu, Peng Jiao, Yiyu Yao, Guoyin Wang. Detecting and refining overlapping regions in complex networks with three-way decisions[J]. Information Sciences, 2016, 373:21-41.

20.    Hong Yu, Cong Zhang, Guoyin Wang. A tree-based incremental overlapping clustering method using the three-way decision theory[J]. Knowledge-Based Systems, 2016, 91:189-203.

21.    Hong Yu, Zhanguo Liu, Guoyin Wang. An automatic method to determine the number of clusters using decision-theoretic rough set[J]. International Journal of Approximate Reasoning, 2014, 55(1):101-115.

22.    Hong Yu, Qingfeng Zhou, Man Liu. A dynamic composite Web services selection method with QoS-aware based on AND/OR Graph[J]. International Journal of Computational Intelligence Systems, 2014, 7(4):660-675.

23.    Hong Yu, Shuangshuang Chu, Dachun Yang. Autonomous knowledge-oriented clustering using decision-theoretic rough set theory[J]. Fundamenta Informaticae, 2012, 115: 141–156.

24.    Hong Yu, Qingfeng Zhou, Man Liu. A Dynamic Composite Web Services Selection Method With QoS-Aware Based on AND/OR Graph[J]. International Journal of Computational Intelligence Systems, 2014, 7(4):660-675.

25.     Guoyin Wang, Xi’ao Ma, Hong Yu. Monotonic uncertainty measures for attribute reduction in probabilistic rough set model[J]. International Journal of Approximate Reasoning, 2015, 59(C):41-67.

26.     Xi’ao Ma, Guoyin Wang, Hong Yu, Tianrui Li. Decision region distribution preservation reduction in decision-theoretic rough set model[J]. Information Sciences, 2014, 278:614-640.

27.    于洪，何德牛, 王国胤, 李劼, 谢永芳. 大数据智能决策. 自动化学报, 2020, 46(5): 878-896.

Hong Yu, Deniu He, Guoyin Wang, Jie Li, Yongfang Xie. Big Data for Intelligent Decision      Making. Acta Automatica Sinica, 2020, 46(5): 878-896. 

28.    于洪, 王国胤, 姚一豫. 决策粗糙集理论研究现状与展望[J]. 计算机学报, 2015, 38(8): 1628-1639.

Hong Yu, Guoyin, Wang, Yiyu Yao. Current Research and Future Perspectives on Decision-Theoretic Rough Sets[J]. Chines Journal of Computers, 2015, 38(8): 1628-1639.

29.    于洪, 李俊华. 一种解决新项目冷启动问题的推荐算法[J]. 软件学报, 2015, 26(6): 1395−1408.

Hong Yu, Junhua Li. Algorithm to Solve the Cold-Start Problem in New Item Recommendations[J]. Journal of Software, 2015, 26(6): 1395−1408.

30.     马希骜, 王国胤, 于洪. 决策域分布保持的启发式属性约简方法[J]. 软件学报, 2014, 25(8):1761-1780.

Xi’ao Ma, Guoyin Wang, Hong Yu. Heuristic Method to Attribute Reduction for Decision Region Distribution Preservation[J]. Journal of Software, 2014, 25(8):1761-1780.

31.    于洪, 邓明瑶, 胡峰. 考虑用户标注状态的标签推荐方法[J]. 模式识别与人工智能, 2014, 27(8): 673-682.

Hong Yu, MingYao Deng, Feng Hu. Tag Recommendation Method Considering Users Tagging Status[J]. Pattern Recognition and Artificial Intelligence, 2014, 27(8): 673-682.

32.    于洪, 杨显. 微博中节点影响力度量与传播路径模式研究[J]. 通信学报, 2012, 33(Z1): 96-102.

Hong Yu, Xian Yang. Studying on the node’s influence and propagation path modes in microblogging[J]. Journal on Communications, 2012, 33(Z1): 96-102.

33.    于洪, 杨大春. 基于蚁群优化的多个属性约简的求解方法[J]. 模式识别与人工智能, 2011, 24(2): 176-184.

Hong Yu, Dachun Yang. Approach to Solving Attribute Reductions with Ant Colony Optimization[J]. Pattern Recognition and Artificial Intelligence, 2011, 24(2): 176-184.

34.    王国胤, 姚一豫, 于洪. 粗糙集理论与应用研究综述[J]. 计算机学报, 2009, 32(7): 1229-1246.

Guoyin Wang, Yiyu Yao, Hong Yu. A Survey on Rough Set Theory and Applications[J]. Chines Journal of Computers, 2009, 32(7): 1229-1246.

35.    王国胤, 于洪, 杨大春. 基于条件信息熵的决策表约简. 计算机学报, 2002, 25(7): 759-766.

Guoyin Wang, Hong Yu, Dachun Yang. Decision Table Reduction based on Conditional Information Entropy. Chinese Journal of Computers, 2002, 25(7): 759-766.