刘禹锋，男，副教授，工学博士，硕士生导师，物联网工程（人工智能）系主任。

本硕博均毕业于河海大学计算机科学与技术专业，美国得克萨斯大学达拉斯分校联合培养博士，博士期间获国家公派留学奖学金、校优秀博士论文等奖项；入选南京财经大学“青年学者计划”，多次荣获“先进工作者”称号，获评首届“十佳班主任”；主持国家自然科学基金项目“图文法形式框架下的空间语义机制研究”，作为骨干人员参与国家重点研发计划、江苏省自然科学基金、江苏省社会科学基金等多项国家及省部级科研项目，在Software-Practice & Experience 、软件学报、Computer Journal等CCF推荐期刊上发表多篇学术论文，参与多项大型应用软件的设计、开发与实施，和南京大学，东南大学，香港科技大学、北达科他州立大学等多个高校的相关课题组长期学术合作，担任多个国际期刊与会议的审稿人。

目前研究方向为图深度学习、软件工程、模式识别、可视化语言等。

欢迎报考硕士研究生的同学和我联系。

Email: yfengliu28@126.com

部分发表论文：

[1] Yuefei Qu, Yufeng Liu. Multi-metrics business process optimization for rework tasks through graph transformation. International Journal on Interactive Design and Manufacturing, 2026.

[2] Siting Zhang; Yufeng Liu, et al. A Dynamic Multi-hop Attention Integrated Graph Neural Network for Subgraph Matching. The 18th International Symposium on Visual Information Communication and Interaction, 2025, 1-8. (该论文获得Honorable Mention Award)

[3] Yufeng Liu, Fan Yang, et al. Graph Grammar Formalism with Multigranularity for Spatial Graphs. Journal of Logic, Language and Information, 2023, 32(5): 809–827.

[4] Yufeng Liu, Fan Yang, et al. A fuzzy structure processing mechanism for graph grammar. Journal of Logic and Computation, 2023.

[5] 刘禹锋, 杨帆. 一种基于虚结点的空间图文法形式框架. 软件学报, 2021, 32(12): 3669-3683.

[6] Yufeng Liu, Fan Yang. EGG plus: A graph grammar formalism with uncertain structure processing mechanism. Journal of Logic and Computation, 2021, 31(7): 1800-1819.

[7] Yufeng Liu, Xiaoqin Zeng, et al. Coordinate Graph Grammar for the Specification of Spatial Graphs. The Computer Journal, 2020, 64(5): 749-761.

[8] Yufeng Liu, Xiaoqin Zeng, et al. A graph grammar-based approach for graph layout. Software: Practice and Experience, 2018, 48(9): 1523-1535.

[9] Yufeng Liu, Kang Zhang, et al. Spatial specification and reasoning using grammars: from theory to application. Spatial Cognition & Computation, 2018, 18(4): 315-340.

[10] Yufeng Liu, Yangchen Zhou, et al. An improved generative design approach based on graph grammar for pattern drawing. Machine Graphics and Vision, 2024, 33(1): 3-20.

[11] 刘禹锋, 杨 帆, 刘健. 一种基于图文法的逻辑型图样本生成方法. 计算机工程, 2023, 49(11): 203-210.

[12] Yufeng Liu, Yangchen Zhou, et al. A grammar-based layout method for graph models. International Conference on Algorithm. Imaging Processing, and Machine Vision, 2024, 12969: 268-278.

[13] Yufeng Liu, Yangchen Zhou, et al. An enhanced grammatical approach for graph drawing. International Conference on Artificial Intelligence, Virtual Reality, and Visualization, 2023: 6-13.

[14] Yufeng Liu, Fan Yang. A meta rule based Graph Grammar formalism for Spatial Graph. International Conference on Intelligent Computing and Human-Computer Interaction, 2021: 135-138.

[15] Yufeng Liu, Fan Yang. An Enhancement to Graph Grammar for the Specification of Edge Semantics. IEEE International Conference on Progress in Informatics and Computing, 2021: 1-5.

[16] Yufeng Liu, Xiaoqin Zeng, et al. Quantitative spatial semantics in a graph grammar formalism. International Workshop on Interactive and Spatial Computing, 2018: 1-7.

[17] Yufeng Liu, Xiaoqin Zeng, et al. Transforming Entity-Relationship Diagrams to Relational Schemas Using a Graph Grammar Formalism. International Conference on Progress in Informatics and Computing, 2018: 327-331.

[18] Fan Yang, Yufeng Liu, et al. Asymmetric cross–modal hashing with high–level semantic similarity. Pattern Recognition, 2022, 130: 108823.

[19] Xiaoyu Wang, Yufeng Liu, et al. A Graph Grammar Approach to the Design and Validation of Floor Plans. The Computer Journal, 2020, 63(1): 137-150.

[20] Xiaoqin Zeng, Yufeng Liu, et al. An Edge-based Graph Grammar Formalism and its Support System. The 24th International DMS conference on Visualization and Visual Languages, 2018: 101-108.

[21] Xiaoqin Zeng, Yufeng Liu, et al. Edge-based graph grammar: theory and support system. Journal of Visual Languages and Sentient Systems, 2018, 4: 11-19.

[22] Xiaoyu Wang, Yufeng Liu, et al. Generating Tractable Designs by Transforming Shape Grammars to Graph Grammars. The 11th International Symposium on Visual Information Communication and Interaction, 2018: 13–15.