王娇娇，女，1992年6月生，讲师，杭州电子科技大学工学博士学位。

学术兼职：CCF推荐的国际学术会议International Conference on Software Engineering and Knowledge Engineering（SEKE）程序委员会委员。

主要研究领域：智能化业务过程管理、过程数据分析、工业智能制造等。

主要教学科研情况（项目）：“面向业务流程智能化的合规性分析与验证方法研究”（国家自然科学基金青年基金项目，2021-2023），负责人；

代表性教学科研成果（论文、专著、获奖等）：在相关研究领域发表SCI、EI论文20余篇，其中有多篇论文发表在CCF推荐的国际学术会议和期刊上，共申请/授权国家发明专利10余项。

电子邮件：jjwang@cuz.edu.cn

代表性论文：

[1] Jiaojiao Wang; Dongjin Yu; Chengfei Liu; Task allocation for maximum cooperation in complex structured business processes[J]. Knowledge-Based Systems, 2024: 111989.

[2] Jiaojiao Wang; Yao Sui; Chang Liu; Xuewen Shen; Zhongjin Li; Dingguo Yu; Multi-task Learning with Multi-gate Mixture of Transformer-based Experts for Predictive Process Monitoring in Manufacturing[J]. Science Progress, 2024, 107(4): 1-38.

[3] Jiaojiao Wang; Victor Chang; Dongjin Yu; Chang Liu; Xiaoyu Ma; Dingguo Yu; Conformance-oriented Predictive Process Monitoring in BPaaS Based on Combination of Neural Networks[J], Journal of Grid Computing, 2022, 20(3): 1-18.

[4]王娇娇; 马小雨; 刘畅; 俞定国; 俞东进; 张银珠; 基于 XGBoost 增量实现业务流程执行结果的预测性监控方法, 计算机集成制造系统[J], 2024, 30(8): 2756-2775.

[5] Jiaojiao Wang; Jiawei Huang; Xiaoyu Ma; Zhongjin Li; Yaqi Wang; Dingguo Yu; MTLFormer: Multi-TaskLearning Guided Transformer Network for Business Process Prediction, IEEE Access, 2023, 23515262: 76722-76738.

[6] Ting Yu; Lihua Zhang; Hailin Liu; Hongbing Liu; Jiaojiao Wang*; Service recommendation based on contrastive learning and multi-task learning[J], Computer Communications, 2023, 213(2024)：285-295.

[7] Xiaoyu Ma; Jiaojiao Wang*; MSANet: multi-scale attention guided deep neural network for blind image quality assessment[C], Second International Conference on Industrial IoT, Big Data, and Supply Chain, 2021, 12128: 235-239. (会议论文)

[8] Jiaojiao Wang; Dingguo Yu; Xiaoyu Ma; Chang Liu; Victor Chang; Xuewen Shen; Online predicting conformance of business process with recurrent neural networks[C], 2020 International Conference on Internet of Things, Big Data and Security (IoTBDS), 2020-5-7 至 2020-5-9, 88-100. (会议论文)

[9] Jiaojiao Wang; Dongjin Yu; Chengfei Liu; Xiaoxiao Sun; Outcome-oriented predictive process monitoring with attention-based bidirectional LSTM neural networks[C], 2019 IEEE International Conference on Web Services, Milan, Italy, 2019-7-8 至 2019-7-13. (会议论文)

[10] 俞东进; 王娇娇; 柳诚飞; 基于协作模式的工作流最优员工分配方法[J], 软件学报, 2017, 2018(29): 3340-3354.

以上资料更新日期2025年4月。