Zhifei Li     中文主页

 Google Scholar       GitHub       Zhifei_CV

 School of Computer Science, Hubei University

  zhifei1993hubu.edu.cn        zhifei1993gmail.com

 Hubei University, 368 Youyi Avenue, Wuhan 430062, China

  Introduction |  Experience |  Education |  Award |  Project |  Publication

Introduction

News
  • 2026.03    One paper is accepted by ESWA.
  • 2026.03    One paper is accepted by Information Fusion.
  • 2026.02    One paper is accepted by ESWA.
  • 2026.02    One paper is accepted by KBS.
  • 2026.02    Selected as the IP&M Reviewer Awards 2025.
  • 2026.02    One paper is accepted by ACM TKDD.

Experience

Education

Award

Project

Publication

(Note: * Corresponding author， Google Scholar Citations 1000+)

Task：
Year：

    Knowledge Graph

  1. Zhang Z, Li Z*, et al. Multi-scale Dynamic Convolutional Network for Knowledge Graph Embedding[J]. IEEE Transactions on Knowledge and Data Engineering, 2022, 34(5): 2335-2347. (CCF A, ESI highly cited paper)
  2. Luo X, Zhang Y*, et al, Li Z*. Noise-augmented Multi-modal Entity Alignment with Confidence-based Dynamic Fusion[J]. SCIENCE CHINA Information Sciences, 2026. DOI: 10.1007/s11432-025-4721-2. (CCF A)
  3. Li Z, Liu H, Zhang Z, et al. Learning Knowledge Graph Embedding with Heterogeneous Relation Attention Networks[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(8): 3961-3973. (CCF B, ESI highly cited paper)
  4. Li Z, Zhang Q, Zhu F, et al. Knowledge Graph Representation Learning with Simplifying Hierarchical Feature Propagation[J]. Information Processing & Management, 2023, 60(4): 103348. (CCF B, ESI highly cited paper)
  5. Li Z, Qin Z, Luo X, et al. MyGram: Modality-aware Graph Transformer with Global Distribution for Multi-modal Entity Alignment[C]. Proceedings of the AAAI Conference on Artificial Intelligence, 2026. (CCF A, Accepted)
  6. Jian Y, Luo X, Li Z*, et al. APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty[C]. Proceedings of the 39th AAAI Conference on Artificial Intelligence, 2025: 15005-15013. (CCF A, Oral paper)
  7. Xiong C, Hu J, et al, Li Z*. HiMod: Hierarchical Modeling with Graph Perturbation for Enhanced Inductive Knowledge Graph Reasoning[J]. ACM Transactions on Knowledge Discovery from Data, 2026. (CCF B, Accepted)
  8. Jian Y, Zhang M, et al, Li Z*. Adaptive Modality Interaction Transformer for Multimodal Knowledge Graph Completion[J]. ACM Transactions on Knowledge Discovery from Data, 2025, 19(8): 1-24. (CCF B)
  9. Zhang Y, Luo X, et al, Li Z*. Graph Structure Prefix Injection Transformer for Multi-modal Entity Alignment[J]. Information Processing & Management, 2025, 62(3): 104048. (CCF B)
  10. Li Z, Jian Y, et al. Text-enhanced Knowledge Graph Representation Learning with Local Structure[J]. Information Processing & Management, 2024, 61(5): 103797. (CCF B)
  11. Li Z, Chen L, Jian Y, et al. Aggregation or Separation? Adaptive Embedding Message Passing for Knowledge Graph Completion[J]. Information Sciences, 2025, 691: 121639. (CCF B)
  12. Li Z, Zhao Y, Zhang Y, et al. Multi-relational Graph Attention Networks for Knowledge Graph Completion[J]. Knowledge-Based Systems, 2022, 251: 109262. (CCF C)
  13. Li Z, Huang W, Gong X, et al. Decoupled Semantic Graph Neural Network for Knowledge Graph Embedding[J]. Neurocomputing, 2025, 611: 128614. (CCF C)
  14. Li Z, Liu H, Zhang Z, et al. Recalibration Convolutional Networks for Learning Interaction Knowledge Graph Embedding[J]. Neurocomputing, 2021, 427: 118-130. ( CCF C)

    15. Question Answering

  15. Li Z, Wang Y, Xiong C, et al. MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering[C]. Proceedings of the AAAI Conference on Artificial Intelligence, 2026. (CCF A, Accepted)
  16. Li Z, Qiu F, Wang Y, et al. Integrating Object Interaction Self-Attention and GAN-Based Debiasing for Visual Question Answering[J]. IEEE Transactions on Multimedia, 2026. DOI: 10.1109/TMM.2026.3651122. (CCF A)
  17. Zhang Y, Lin J, Zhang M, et al, Li Z*. SCRA-VQA: Summarized Caption-Rerank for Augmented Large Language Models in Visual Question Answering[C]. Proceedings of the 30th International Conference on Database Systems for Advanced Applications (DASFAA), 2026: 37–52. (CCF B, Oral paper)

    18. Recommendation Systems

  18. Li Z, Chen L, Yi J, et al. KeenKT: Knowledge Mastery-State Disambiguation for Knowledge Tracing[C]. Proceedings of the AAAI Conference on Artificial Intelligence, 2026. (CCF A, Accepted)
  19. Shi K, Zhang Y, Zhang M, et al, Li Z*. Structurally Refined Graph Transformer for Multimodal Recommendation[J]. IEEE Transactions on Multimedia, 2026. (CCF A)
  20. Ma H, Zhang Y, Zhou Y, et al, Li Z*. Let Two Graphs Talk: Self-Supervised Dual-Graph Reconstruction for Multimodal Recommendation[J]. Information Fusion, 2026, 104299.
  21. Shi K, Zhang Y, Zhang M, et al, Li Z*. Heterogeneous Environment-aware Multimodal Recommendation with Modality Alignment[J]. Information Fusion, 2026, 129: 103989.
  22. Li Z, Xie C, Wu J, et al. Noisy or Structural? Knowledge Graph-based Dual-view Diffusion for Recommendation Systems[J]. Knowledge-Based Systems, 2026, 339: 115607. (CCF C)
  23. Zhang Y, Wang S, Zhang H, Li Z*. MITRec: Modality Intertwined Tensorization Decomposition for Multimodal Recommendation[J]. Expert Systems With Applications, 2026. (CCF C)
  24. Zhou D, Hou X, et al, Li Z*. Corrective Aggregation and Preference-Aware for Multimodal Recommendation Systems[J]. Expert Systems With Applications, 2026, 317: 131914. (CCF C)
  25. Shi K, Zhang Y, Zhang M, et al, Li Z*. Noise-enhanced Graph Contrastive Learning for Multimodal Recommendation Systems[J]. Knowledge-Based Systems, 2025, 324: 113766. (CCF C)

Last Updated: 2026.02.21