个人简介：
李志飞，理学博士，060net永利官网副教授、硕士生导师，入选湖北省级人才计划。毕业于华中师范大学国家数字化学习工程技术研究中心，主要从事知识图谱、推荐系统、智能问答等方向研究。先后主持国家自然科学基金青年项目和湖北省自然科学基金面上项目，近五年在TKDE、TMM、TNNLS、TKDD、INFFUS、AAAI、中国科学：信息科学（英文版）、电子学报等期刊或会议发表论文40余篇，其中ESI高被引论文3篇。获湖北省科技进步奖二等奖1项、2025 IP&M Reviewer Awards，授权发明专利、软件著作权10余项。IEEE、CCF高级会员，担任TKDE、TNNLS、TKDD等20余个期刊及会议审稿人和AAAI、EMNLP等会议领域主席。
学生培养：
团队学生已在SCI一区/二区、CCF A/B类期刊和会议发表论文20余篇（其中本科生发表SCI一区论文4篇）。此外，团队学生荣获挑战杯“揭榜挂帅”擂台赛等大学生学科竞赛全国一等奖4项、研究生国家奖学金3人次。欢迎计算机、教育技术等相关专业，具备扎实的数学、英语基础（CET-6）和编程能力，对知识图谱、推荐系统、智能问答、知识追踪等人工智能方向感兴趣的学生与本人联系，请附个人简历。（邮箱：18766362@qq.com；主页：zhifei1993.github.io）
2025级：王路、黄越鸾、陈雨柔、丁嘉玲、徐传芳、吴锦锋
2024级：秦紫玥、王怡然、易佳丽、谢楚源、陈丽帆（硕士国奖）
2023级：熊晨伊（硕博连读）、谢光辉、裘枫（硕士国奖）、左怀琪
2022级：蹇越（硕士国奖，武汉理工读博）
科研项目：
2023.01-2025.12，国家自然科学基金青年项目（62207011），主持
2025.03-2027.02，湖北省自然科学基金面上项目（2025AFB653），主持
代表论文（*通讯作者）：
完整列表见https://scholar.google.com/citations?user=aC2qAuEAAAAJ
知识图谱
[1] Zhang Z, Li Z*, Liu H, et al. Multi-scale Dynamic Convolutional Network for Knowledge Graph Embedding[J]. IEEE Transactions on Knowledge and Data Engineering, 2022, 34(5): 2335-2347. (SCI一区, CCF A, ESI高被引)
[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. (SCI一区, CCF A, 卓越期刊)
[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. (SCI一区, CCF B, ESI高被引)
[4] Jian Y, Luo X, Li Z*, et al. APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty[C]. Proceedings of the AAAI Conference on Artificial Intelligence, 2025: 15005-15013. (CCF A, Oral 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)
[6] 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)
[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)
推荐系统
[1] 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)
[2] Shi K, Zhang Y, Zhang M, et al, Li Z*. Structurally Refined Graph Transformer for Multimodal Recommendation[J]. IEEE Transactions on Multimedia, 2026. (SCI一区, CCF B)
[3] Shi K, Zhang Y, Zhang M, et al, Li Z*. Heterogeneous Environment-aware Multimodal Recommendation with Modality Alignment[J]. Information Fusion, 2026, 129: 103989. (SCI一区)
[4] 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: 115607. (SCI一区, CCF C)
[5] Zhou D, Hou X, et al, Li Z*. Corrective Aggregation and Preference-Aware for Multimodal Recommendation Systems[J]. Expert Systems With Applications, 2026. (SCI一区, CCF C)
[6] 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. (SCI一区, CCF C)
知识问答
[1] 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)
[2] 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. (SCI一区, CCF B)
[3] Zhang Y, Lin J, 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, 2026: 37-52. (CCF B, Oral paper)
