张玉超

张玉超，男，中共党员，山东微山人，2026年6月毕业于浙江工业大学计算机科学与技术学院，获工学博士学位，师从孔祥杰教授。主要从事时序知识图谱推理、知识表示、图数据挖掘等前沿方向研究。作为核心骨干成员参与多项国家自然科学基金项目、横向项目。近5年在 The Web Conference(WWW)、Knowledge-Based System(KBS)、Neurocomputing、Information Sciences(INS)、 Knowledge and Information Systems(KAIS)等高水平会议/期刊发表论文多篇，并担任多个高水平期刊审稿人。

主要学术论文：

[1]   Zhang Y, Kong X, Ye K, et al. Tackling sparse facts for temporal knowledge graph completion[C]//Proceedings of the ACM on Web Conference 2025. 2025: 3561-3570. （WWW`2025, CCF-A类会议）

[2]   Zhang Y, Kong X, Ye K, et al. DSTAG: A Semantic Tag-Enhanced Dual-Graph Convolutional Network for Temporal Knowledge Graph Completion[C]//Proceedings of the ACM Web Conference 2026. 2026: 3645-3655. （WWW`2026, CCF-A类会议，oral）

[3]   Zhang Y, Kong X, Shen Z, et al. A survey on temporal knowledge graph embedding: Models and applications[J]. Knowledge-Based Systems, 2024, 304: 112454.（中科院1区，IF=7.6）

[4]   Zhang Y, Kong X, Liu Y, et al. LDCL: Large language model-driven dual-view contrastive learning for temporal knowledge graph completion[J]. Information Sciences, 2026: 123273. （CCF-B类期刊，IF=6.8）

[5]   Zhang Y, Kong X, Ye K, et al. A context-aware temporal knowledge graph completion method based on logical paths[J]. Neurocomputing, 2026: 133049. （中科院2区，IF=6.5）

[6]   Ye K, Kong X, Zhang Y, et al. Dual history enhancement with hybrid hypergraph-graph networks for temporal knowledge graph reasoning[C]//Proceedings of the ACM Web Conference 2026. 2026: 3800-3810. （WWW`2026, CCF-A类会议）

[7]   Zheng S, Zhu Y, Zhang Y, et al. Multi-hop reasoning with fine-grained entity representations and LLM-augmented actions over few-shot knowledge graphs[J]. Knowledge and Information Systems, 2026, 68(1): 86. （CCF-B类期刊，IF=2.8）

[8]   Zheng, S., Nie, X., Yuan, W., Qu, L., Kong, X., Zhang, Y., & Hou, J. Context-aware adaptive reinforcement learning for multi-hop knowledge graph reasoning in few-shot scenarios[J]. Knowledge-Based Systems, 2025: 114799. （中科院1区，IF=7.6）