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. Three-Way Decisions and Three-Way Clustering[C]//International Joint Conference on Rough Sets (IJCRS), 2018:13-28.

19. Hong Yu. A Framework of Three-Way Cluster Analysis[C]//International Joint Conference on Rough Sets (IJCRS), 2017:300-312.

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

21.  Hong Yu, Peng Jiao, Yiyu Yao, et al. Detecting and refining overlapping regions in complex networks with three-way decisions. Information Sciences, 2016, 373: 21-41.

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

23.  Hong Yu, Qingfeng Zhou, Man Liu. A dynamic composite Web services selection method with QoS-aware based on AND/OR graph. International Journal of Computational Intelligence Systems, 2014, 7: 660-675.

24.  Xi'ao Ma, Guoyin Wang, Hong Yu, et al. Decision region distribution preservation reduction in decision-theoretic rough set mode. Information Sciences, 2014, 278: 614-640.

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

26.  Hong Yu, GuoyinWang, Fakuan Lan. Solving the attribute reduction problem with ant colony optimization[C]//Transactions on Rough Sets XIII, 2011:240-259.