张嘉昇，副教授。2019年和2025年在电子科技大学分别获得学士学位和博士学位（申恒涛教授团队，师从邵杰教授 https://cfm.uestc.edu.cn/~shaojie/）。曾在美国耶鲁大学（合作导师为图学习领域著名学者 Rex Ying https://www.cs.yale.edu/homes/ying-rex/）、北京小桔科技有限公司（滴滴出行）等机构从事研究工作。担任NeurIPS领域主席。

主持承担了四川省科技厅苗子工程重点项目、陕西省博士后科研资助（二等）等项目多项，作为项目骨干参与国自然面上、重点研发等项目。相关论文发表于SIGMOD、VLDB、ICML、NeurIPS、KDD、SIGIR、TKDE等CCF-A类期刊/会议总计30余篇，授权专利7项，软著1项，并长期承担 ICDE、KDD、ICLR、NeurIPS、ACL、CVPR、MM等顶级学术会议的程序委员。

招生简介：

本人于2025年加入西电计算机科学与技术学院 智能媒体与数据工程研究所（崔江涛教授、李辉教授团队），团队网址：https://imde.xidian.edu.cn/。本人主要研究方向聚焦知识工程与图数据挖掘核心领域，涵盖可信多模态知识抽取、时空约束下的复杂知识推理、多智能体系统构建与优化，以及大语言模型赋能的大规模图分析技术，致力于攻克领域核心技术难题，推动相关技术在智慧城市、智能制造、环境监测等关键场景的产业化落地。

诚邀本校学有余力、对人工智能与大数据挖掘抱有浓厚兴趣的本科生加入课题组。同时欢迎想要参与 “挑战杯”、中国高校计算机大赛等高水平学科竞赛的同学随时联系，我将提供全程一对一指导，助力学生夯实科研基础、提升综合能力，为后续深造与职业发展奠定坚实根基。

代表论文：

[1] Zhang Jiasheng, Ouyang Deqiang, Liang Shuang, and Shao Jie. Towards pattern-aware data augmentation for temporal knowledge graph completion. Proceedings of the VLDB Endow，2025，18(10): 3573–3586. (VLDB, CCF-A)

[2] Zhang Jiasheng, Zhang Delvin Ce, Liang Shuang, Li Zhengpin, Ying Rex, Shao Jie. Retrieval-augmented language Model for knowledge-aware protein encoding. Forty-second International Conference on Machine Learning, 2025. (ICML, CCF-A)

[3] Zhang Jiasheng, Maatouk Ali, Chen Jialin, Ngoc Bui, Xie Qianqian, Leandros Tassiulas, Xu Hua, Shao Jie, Ying Rex. Litfm: A retrieval augmented structure-aware foundation model for citation graphs. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2. 2025: 3728-3739. (KDD, CCF-A)

[4] Zhang Jiasheng, Ying Rex, Shao Jie. Online detection of anomalies in temporal knowledge graphs with interpretability. Proceedings of the ACM on Management of Data, 2024, 2(6): 1-26. (SIGMOD, CCF-A)

[5] Zhang Jiasheng, Chen Jialin, Yang Menglin, Feng Aosong, Liang Aosong, Shao Jie, Ying Rex. DTGB: A comprehensive benchmark for dynamic text-attributed graphs. Advances in Neural Information Processing Systems, 2024, 37: 91405-91429. (NeurIPS, CCF-A)

[6] Zhang Jiasheng, Shao Jie, Cui Bin. Streame: Learning to update representations for temporal knowledge graphs in streaming scenarios. Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2023: 622-631. (SIGIR, CCF-A)

[7] Zhang Jiasheng, An Kaiqiang, Liu Guoping, Wen Xiang, Hu Runbo, Shao Jie. Understanding the semantics of GPS-based trajectories for road closure detection. Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and data mining. 2023: 5554-5563. (KDD, CCF-A)

[8] Liang Shuang, Shao Jie, Zhang Dongyang, Zhang Jiasheng, Cui Bin. DRGI: Deep relational graph infomax for knowledge graph completion. IEEE Transactions on Knowledge and Data Engineering, 2021: 2486-2499. (TKDE, CCF-A)