期刊论文：

1. R. Li, H. Liu*, X. Zhou, J. Wang, J. Ding, L.T. Yang, H. Li, Y. Zhang, Tucker-Based High-Accuracy Multi-Modal Clustering for Social Information Network, IEEE Transactions on Big Data, 2024. (Accepted, IF=7.2, CCF C, 中科院二区, 通讯作者)

2. H. Liu, W. Zhang, R. Li, Y. Zhang, J. Ding, G. Zhang, H. Zhang, L.T. Yang, Cloud-Edge Collaborative Scalable Tucker-Based Tensor Computations for Ubiquitous Consumer Electronics Data, IEEE Transactions on Consumer Electronics, 2024. (Accepted, IF=4.3, 中科院二区)

3. J. Guo, H. Liu*, J. Ding, and W. Li, Tensor-Train-Based Tensor Union for Data Fusion with Its Multi-modal Accurate Prediction, IEEE Transactions on Consumer Electronics, 2024. (Minor Revision, IF=4.3, 中科院二区, 通讯作者)

4. X. Yin, H. Liu*, J. Ding, L.T. Yang, Differential Privacy Based Multiuser Multivariate Multiorder Markov Trajectory Prediction in Edge-Cloud Environment, IEEE Transactions on Artificial Intelligence, 2024. (Minor Revision, 通讯作者)

5. H. Liu, Y. Zhang, J. Ding, H. Zhang, L.T. Yang, X. Zhou, Tensor-Train-Based Incremental High Order Dominant Z-Eigen Decomposition for Multi-modal Intelligent Transportation Prediction, IEEE Transactions on Intelligent Transportation Systems, 2023, 25(3):2534-2544. (IF=8.5, CCF B, 中科院一区)

6. H. Liu, J. Wang, X. Yin, J. Ding*, L.T. Yang, T. Yao, J. Yang, and Y. Gao, Tensor-train-based Multiuser Multivariate Multiorder Physical Markov Process Informed Multimodal Prediction for Industrial Trajectory Applications, IEEE Transactions on Industrial Informatics, 2023, 19(8): 8900-8909. (IF=12.3, CCF C, 中科院一区)

7. J. Yang, L.T. Yang, Y. Gao, H. Liu^*, X. Xie, An Incremental Boolean Tensor Factorization for Knowledge Reasoning in AIoT, IEEE Transactions on Industrial Informatics, 2022, 18(5): 3367-3376. (IF=12.3, CCF C, 中科院一区, 通讯作者)

8. J. Yang, L.T. Yang, H. Wang, Y. Gao, H. Liu^*, X. Xie, Tensor Graph Attention Network for Knowledge Reasoning in Internet of Things, IEEE Internet of Things Journal, 2022, 9(12): 9128-9137. (IF=10.6, CCF C, 中科院一区, 通讯作者)

9. J. Yang*, L.T. Yang, Y. Gao, H. Liu, H. Wang, X. Xie, Tensor-Based Knowledge Fusion and Reasoning for Cyberphysical-Social Systems: Theory and Framework, IEEE Systems, Man, and Cybernetics Magazine, 2022, 8(2): 31-38. (IF=3.2)

10. H. Liu, L.T. Yang^*, T. Yao, J. Ding, and A. Deng, Tensor-Train-Based High Order Dominant Z-Eigen Decomposition for Multi-modal Prediction and Its Cloud/Edge Implementation, IEEE Transactions on Network Science and Engineering, 2021, 8(2): 1353-1366. (IF=6.6, 中科院二区)

11. H. Liu, L.T. Yang, J. Ding^*, Y. Guo, and S. S. Yau, Tensor-Train-Based High-Order Dominant Eigen Decomposition for Multimodal Prediction Services, IEEE Transactions on Engineering Management, 2021, 68(1):197-211. (IF=5.8)

12. H. Liu, L.T. Yang^*, Y. Guo, X. Xie, and J. Ma, An Incremental Tensor Train Decomposition for Cyber-Physical- Social Big Data, IEEE Transactions on Big Data, 2021, 7(2): 341-354. (IF=7.2, CCF C, 中科院二区, ESI高被引论文)

13. Q. Wu, Z. Jiang, K. Hong, H. Liu^*, L.T. Yang, and J. Ding, Tensor-Based Recurrent Neural Network and Multi-modal Predictions With Their Applications in Traffic Network Management, IEEE Transactions on Network and Service Management, 2021, 18(1): 780-792. (IF=5.3, CCF C, 中科院二区, 通讯作者)

14. J. Ding, H. Liu^*, L. T. Yang, T. Yao, and W. Zuo, Multi-user Multivariate Multi-order Markov Based Multi-modal User Mobility Pattern Prediction, IEEE Internet of Things Journal, 2020, 7(5): 4519-4531. (IF=10.6, CCF C, 中科院一区, 通讯作者)

15. H. Liu, L.T. Yang^*, J. Ding, Y. Guo, X. Xie, and Z. Wang, Scalable Tensor-Train-Based Tensor Computations for Cyber-Physical-Social Big Data, IEEE Transactions on Computational Social Systems, 2020, 7(4): 873-885. (IF=5.0, CCF C, 中科院二区)

16. H. Liu, J. Ding, L.T. Yang^*, Y. Guo, X. Wang, and A. Deng, Multi-dimensional Correlative Recommendation and Adaptive Clustering via Incremental Tensor Decomposition for Sustainable Smart Education, IEEE Transactions on Sustainable Computing, 2020, 5(3):389-402. (IF=3.9, CCF C, 中科院二区)

17. H. Liu, L.T. Yang^*, J. Chen, M. Ye, J. Ding, and L. Kuang, Multivariate Multi-order Markov Multi-modal Prediction with Its Application in Network Traffic Management, IEEE Transactions on Network and Service Management, 2019, 16(3):828-841. (IF=5.3, CCF C, 中科院二区)

18. H. Liu, J. Pu, L.T. Yang^*, M. Lin, D. Yin, Y. Guo, and X. Chen, A Holistic Optimization Framework for Mobile Cloud Task Scheduling, IEEE Transactions on Sustainable Computing, 2019, 4(2): 217-230. (IF=5.3, CCF C, 中科院二区)

19. H. Liu, B. Liu, L.T. Yang^*, M. Lin, Y. Deng, K. Bilal, and S.U. Khan, Thermal-Aware and DVFS-Enabled Big Data Task Scheduling for Data Centers, IEEE Transactions on Big Data, 2018, 4(2):177-190. (IF=7.2, CCF C, 中科院二区, The 2019 IEEE ComSoc TCBD Best Journal Paper)

20. H. Liu, L.T. Yang^*, M. Lin, D. Yin, and Y. Guo, A Tensor-based Holistic Edge Computing Optimization Framework for Internet-of-Things, IEEE Network, 2018, 32(1): 88-95. (IF=9.3, 中科院一区)

21. X. Wang, L.T. Yang^*, H. Liu, and M.J. Deen, A Big Data-as-a-Service Framework: State-of-the-Art and Perspectives. IEEE Transactions on Big Data, 2018, 4(3):325-340. (IF=7.2，CCF C, 中科院二区)

22. D. Zhang, S. Zhao, L.T. Yang^*, M. Chen, Y. Wang, and H. Liu, NextMe: Localization Using Cellular Traces in Internet of Things, IEEE Transactions on Industrial Informatics, 2015,11(2):302-312. (IF=12.3, CCF C, 中科院一区)

23. J. Ding, C. Xiong^*, and H. Liu, Construction of a Digital Learning Environment Based on Cloud Computing, British Journal of Educational Technology, 2015, 46(6):1367-1377. (IF=6.6, SSCI, 中科院一区)

24. 丁继红,刘华中^*.大数据环境下基于多维关联分析的学习资源精准推荐.电化教育研究, 2018, (2):53-59. (CSSCI, 通讯作者)

会议论文：

25. P. Chen, H. Liu*, J. Ding, J. Luo, P. Tan, L. T. Yang. Holistic-CAM: Ultra-lucid and Sanity Preserving Visual Interpretation in Holistic Stage of CNNs. the 32nd ACM International Conference on Multimedia (ACM MM), 2024. doi: 10.1145/3664647.3681707.  (CCF A, 通讯作者)

26. H. Liu, J. Luo, J. Ding, P. Chen, R. Lei, Efficient Tensor-Based Fine-Tuning for Subject-Driven Image Editing on Diffusion Models, the 26th International Conferences on High Performance Computing and Communications (HPCC), 2024. (Accepted, CCF C)

27. X. Wang, H. Liu*, J. Ding, P. Tan, Multi-view Negative-Free Contrastive Learning on Adaptive Graph Augmentation, the 24th IEEE/ACM International Symposium on Cluster, Cloud, and Internet Computing (CCGrid), pp. 291-298, 2024. (CCF C, 通讯作者)

28. P. Chen, H. Liu*, H. Zhang, J. Ding, Y. Zhang, D. Chen, High-Order Faithful Interpretation Methods for Tensor-based CNNs, the 21st IEEE International Conference on Parallel & Distributed Processing with Applications (ISPA), pp.680-687, 2023. (CCF C, 通讯作者)

29. J. Ma, Y. Zhang, H. Liu*, P. Tan, J. Ding, and Q. Pan, Tensor-Train-based Lightweight Encryption in Federated Cloud Environments, the 29th IEEE International Conference on Parallel and Distributed Systems (ICPADS), pp. 586-594, 2023.(CCF C, 通讯作者)

30. J. Ding, H. Liu^*, M. Wen, W. Yang, and B. Jiang, Digital Educational Resources Configuration Model and Mechanisms for K-12 in China, in Proceedings of the 26th International Conference on Computers in Education (ICCE), 2018, 559-568. (EI, 通讯作者)

31. C. Gan, B. Wang, Z. Wang, H. Liu, D. Yang, J. Yin, S. Qian, and S. Guo, A Solution for High Availability Memory Access, in Proceedings of the 19th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), 2019, 122-137. (CCF C)