王佳星

王佳星，博士，浙江工业大学计算机科学与技术学院，助理研究员。

博士毕业于浙江工业大学计算机科学与技术学院，澳大利亚Macquarie University联合培养博士，浙江工业大学、中国科学技术大学博士后。主要研究领域为数据挖掘、大数据、服务计算、深度学习。

近年来，主持国家自然科学基金、浙江省自然科学基金和中国博士后科学基金，作为项目骨干成员参与了国家重点研发计划课题，相关成果发表在WWW（CCF A）、TSC（CCF A）、ICWS（CCF B）、ICSOC（CCF B）、国内三大学报《软件学报》等。

研究生课程：《科技论文写作》

本科生课程：《Web前端开发》

留学生课程：《数据结构》

1. 浙江省自然科学基金探索项目, 基于检索增强大模型的纺织制造流程智能编排与动态优化方法研究, 主持

2. 国家自然科学基金青年项目, 面向智能制造的生产业务流程差异识别、溯源和优化方法研究,主持

3.  浙江省自然科学基金青年项目, 面向智能制造的生产业务流程超时异常预测及处理研究, 主持

4. 中国博士后科学基金面上一等资助项目, 流程模型间多维差异检测及自然语言翻译研究, 主持

5. 国家重点研发计划课题, 智能服务适配过程使能技术, 课题骨干, 参与

部分发表的论文：

[1] Jia-Xing Wang, Yifeng Yu, Ning Fang, Bin Cao, Jing Fan, and Ji Zhang. MHG-Predictor: A Multi-Layer Heterogeneous Graph-based Predictor for Next Activity in Complex Business Processes. Proceedings of the ACM Web Conference 2025 (Accepted, WWW' 25). (CCF A类)

[2] Jia-Xing Wang, Chengliang Lu, Yifeng Yu, Bin Cao, Kai Fang, and Jing Fan. HiGPP: A History-Informed Graph-Based Process Predictor for Next Activity[C]//Proceedings of the International Conference on Service-Oriented Computing. 2025: 337-353. (CCF B类, 服务计算领域顶会)

[3] Jia-Xing Wang, Si-Bin Gao, Zhe-Jun Tang, Da-Peng Tan, Bin Cao and Jing Fan. A Context-aware Recommendation System for Improving Manufacturing Process Modeling[J]. Journal of Intelligent Manufacturing, 2023(34): 1347–1368.  (JCR 1区)

[4] Jia-Xing Wang, Chengliang Lu, Bin Cao, and Jing Fan. MiTFM: A multi-view information fusion method based on transformer for Next Activity Prediction of Business Processes. Proceedings of the 14th Asia-Pacific Symposium on Internetware. 2023: 281-291. (CCF C类)

[5] Jia-Xing Wang, Ying Zhao, Wu-Yuan Zhou, Yu-Sheng Yang. PQ-Diff: A Business Process Difference Detection and Interpretation Method based on the Common Key Structure[C]//IEEE International Conference on Services Computing (SCC), 2022: 185-195. (CCF C类)

[6] Jia-Xing Wang, Si-Bin Gao, Cong-Er Yuan, Da-Peng Tan, and Jing Fan. Service Process Improvement based on Business Process Management[J]. Journal of Internet Technology, 2021, 22(5): 1119-1130. （SCI）

[7] Jia-Xing Wang, Li-Hua Shen, Wu-Yuan Zhou. A Bibliometric Analysis of Quantum Computing Literature: Mapping and Evidences from Scopus[J]. Technology Analysis & Strategic Management, 2021: 1-17. （SSCI）

[8] Jia-Xing Wang, Da-Peng Tan, Bin Cao, Jing Fan, Samundra Deep. Independent Path-based Process Recommendation Algorithm for Improving Biomedical Process Modelling[J]. Electronics Letters, 2020, 56(11): 531-533. （SCI）

[9] Jia-Xing Wang, Jian-Chao Lu, Bin Cao, Jing Fan, Da-Peng Tan. KS-Diff: A Key Structure Based Difference Detection Method for Process Models[C]//IEEE International Conference on Web Services (ICWS). 2019: 408-412. (CCF B类)

[10] Jia-Xing Wang, Bin Cao, Jing Fan, Bin Cao FB-Diff: A Feature-based Difference Detection Algorithm for Process Models[C]//IEEE International Conference on Web Services (ICWS). 2017: 604-611.  (CCF B类)

[11] Jia-Xing Wang, Bin Cao, Wei-shi An, Jing Fan, Jian-Wei Yin. A Benchmark Dataset for Evaluating Process Similarity Search Methods[C]//International Conference on Web Services (ICWS). 2017: 914-917. (CCF B类)

[12] Jia-Xing Wang, Sichao Gui, Bin Cao. A process recommendation method using bag-of-fragments[J]. International Journal of Intelligent Internet of Things Computing, 2019, 1(1): 32-42. （SCI）

[13] Bin Cao, Jia-Xing Wang, Jing Fan, Shui-Guang Deng, Jian Yang, Wei-Liang Zhao, Jian-Wei Yin and Meng-Chu Zhou. ProDiff: A Process Difference Detection Method based on Hierarchical Decomposition[J]. IEEE Transactions on Services Computing, 2022, 15(1): 513-526. (CCF A类)

毕业研究生1名，在读研究生4名：

1. 2022级研究生卢成梁：发表CCF B类论文（ICSOC）1篇、CCF C类论文（Internetware）1篇

2. 2023级研究生余益丰：录用CCF A类论文（WWW' 25）1篇、投稿CCF A类论文（TSC）1篇，获得研究生国家奖学金