Prof. Zhongzhi Shi

Chinese Academy of Sciences, China

Email: [email protected]

Qualifications

1968  University of Chinese Academy of Sciences, China

1964  University of Science and Technology of China, China

Publications (Selected)

1. Xu, Q. H., Tian, D. P., Li, Y. F., et al. (2026). Individual different state-based multi-swarm particle swarm optimization. PeerJ Computer Science, 12, Article e3561.
2. Fan, Y. Y., Tian, D. P., Xu, Q. H., et al. (2026). Particle swarm optimization based on K-means clustering and adaptive dual-groups strategy. Swarm and Evolutionary Computation, 100, Article 102226.
3. Du, W., Ding, S. F., Zhang, C. L., et al. (2023). Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network. IEEE Transactions on Neural Networks and Learning Systems, 34(10), 6851–6860.
4. Wei, H. Y., Li, Z. X., Huang, F. C., et al. (2021). Integrating Scene Semantic Knowledge into Image Captioning. ACM Transactions on Multimedia Computing, Communications, and Applications, 17(2), Article 52.
5. Tian, Z. Q., Song, J. Y., Zhang, C. Y., et al. (2020). A Multiscale-Based Adjustable Convolutional Neural Network for Multiple Organ Segmentation. Wireless Communications and Mobile Computing, 2020, Article 9595687.
6. Meng, Z. Q., & Shi, Z. Z. (2020). On rule acquisition methods for data classification in heterogeneous incomplete decision systems. Knowledge-Based Systems, 193, Article 105472.
7. Zhang, N., Ding, S. F., Sun, T. F., et al. (2020). Multi-view RBM with posterior consistency and domain adaptation. Information Sciences, 516, 142–157.
8. Tian, D. P., & Shi, Z. Z. (2020). A two-stage hybrid probabilistic topic model for refining image annotation. International Journal of Machine Learning and Cybernetics, 11(2), 417–431.
9. Tian, D. P., Zhao, X. F., & Shi, Z. Z. (2019). Chaotic particle swarm optimization with sigmoid-based acceleration coefficients for numerical function optimization. Swarm and Evolutionary Computation, 51, Article 100573.
10. Du, M. J., Ding, S. F., Xue, Y., et al. (2019). A novel density peaks clustering with sensitivity of local density and density-adaptive metric. Knowledge and Information Systems, 59(2), 285–309.
11. Ding, S. F., Cong, L., Hu, Q. K., et al. (2019). A multiway p-spectral clustering algorithm. Knowledge-Based Systems, 164, 371–377.
12. Tian, D. P., Zhao, X. F., & Shi, Z. Z. (2019). DMPSO: Diversity-Guided Multi-Mutation Particle Swarm Optimizer. IEEE Access, 7, 124008–124025.
13. Li, N., Luo, W. J., Yang, K., et al. (2018). Self-organizing weighted incremental probabilistic latent semantic analysis. International Journal of Machine Learning and Cybernetics, 9(12), 1987–1998.
14. Xu, X., Ding, S. F., & Shi, Z. Z. (2018). An improved density peaks clustering algorithm with fast finding cluster centers. Knowledge-Based Systems, 158, 65–74.
15. Tian, D. P., & Shi, Z. Z. (2018). MPSO: Modified particle swarm optimization and its applications. Swarm and Evolutionary Computation, 41, 49–68.
16. Ding, S. F., Zhang, N., Zhang, J., et al. (2017). Unsupervised extreme learning machine with representational features. International Journal of Machine Learning and Cybernetics, 8(2), 587–595.
17. Tian, D. P., & Shi, Z. Z. (2017). Automatic image annotation based on Gaussian mixture model considering cross-modal correlations. Journal of Visual Communication and Image Representation, 44, 50–60.
18. Ma, G., Yang, X., Zhang, B., et al. (2016). Multi-feature fusion deep networks. Neurocomputing, 218, 164–171.
19. Meng, Z. Q., Gan, Q. L., & Shi, Z. Z. (2016). On efficient methods of computing attribute-value blocks in incomplete decision systems. Knowledge-Based Systems, 113, 171–185.
20. Wu, Z. H., Zhou, Y. D., Shi, Z. Z., et al. (2016). Cyborg Intelligence: Recent Progress and Future Directions. IEEE Intelligent Systems, 31(6), 44–50.

Profile Details
https://www.researchgate.net/profile/Zhongzhi-Shi

WOS ResearcherID: IUG-5214-2023