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：《软件工程》、《Web前端开发》

1. 国家自然科学基金委员会, 青年科学基金项目, 62102366, 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

2.  浙江省自然科学基金委员会, 探索青年项目, LQ22F020010, 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

3. 中国博士后科学基金会, 面上一等资助项目, 2019M660145, 流程模型间多维差异检测及自然语言翻译研究, 主持

4. 中华人民共和国科学技术部, 国家重点研发计划课题, 2018YFB1402802, 智能服务适配过程使能技术, 课题骨干, 参与

      5. 国家自然科学基金委员会, 青年科学基金项目, 61602411, 面向过程模型的差异检测方法研究, 项目骨干, 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, 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. （SCI）

[6] 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)

[7] 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）

[8] 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）

[9] 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）

[10] 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)

[11] 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)

[12] 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)

[13] 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）

[14] 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)

在读研究生3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