郑盼盼

教育背景

管理学硕士，工程管理

University of Illinois Urbana-Champaign，Gies College of Business

导师: W. Brooke Elliott 博士，首席讲座教授 2023.08 - 至今

工学学博士，计算机科学 2016.08 - 2020.05

University of Arkansas，Department of computer science and computer engineering

博士论文: Dynamic Fraud Detection via Sequential Modeling

导师: Xintao Wu 博士，首席讲座教授

工学硕士, 计算机应用技术 2010.09 - 2013.07

西北大学，信息科学与技术学院

硕士论文: 基于智能优化和模式识别图像数字水印研究

导师: 王冰教授

工学学士, 计算机网络 2006.09 - 2010.7

南昌理工学院，计算机系

导师: 沈克永教授

工作简历

1. 2023.09 - 至今，新疆大学，计算机科学与技术学院（网络空间安全学院），副教授

2. 2022.09 - 2023.08，亚马逊云服务人工智能实验室（美国硅谷） ，应用科学家

3. 2020.06 - 2022.08，亚马逊电商（美国西雅图），应用科学家

4. 2016.08 - 2020.05，美国阿肯色大学费耶特维尔分校，计算机科学与工程系，助理研究员

主要研究领域

• 异常 & 欺诈检测

• 遥感图像显著性检测 & 变换检测

• 数据挖掘 & 机器学习 & 深度学习 & 大模型、智能体

主持项目

1. 数据驱动下基于互补型生成对抗网络与神经统计模型的公路沙害智能预警研究( Early Warning of Highway Sand Hazard Based on Generative Adversarial Networks and Neural Statistical Models) | 2025-01 - 2028-12 | 国家自然科学基金（编号：62466056）| 主持｜ 32 万.

学术成果

第一作者（或通讯作者）代表性论文

1. Panpan Zheng, Shuhan Yuan and Xintao Wu. SAFE: A Neural Survival Analysis Model for Fraud Early Detection (acceptance rate 16.2%). Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. CCF A类会议

2. Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li and Aidong Lu. One-Class Adversarial Nets for Fraud Detection (acceptance rate 16.2%). Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. CCF A类会议

3. Panpan Zheng, Jun Feng, Zhan Li and Ming-quan Zhou. A novel SVD and LS-SVM combination algorithm for blind watermarking. Neurocomputing, 142:520-528, 2014. 中科院二区

4. Panpan Zheng, Shuhan Yuan and Xintao Wu. Hidden Buyer Identification in Darknet Markets via Dirichlet Hawkes Process. Proceedings of the 9th International Conference on Big Data (BigData), 2021. CCF C类会议

5. Panpan Zheng, Shuhan Yuan and Xintao Wu. Using Dirichlet Marked Hawkes Processes for Insider Threat Detection. Digital Threats: Research and Practice, 2021. ACM 期刊

主要合作论文

1. Xiang Fang, Wanlong Fang, Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Renfu Li, Zichuan Xu, Lixing Chen, Panpan Zheng, Yu Cheng. Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval using Language. ACM Multimedia，2024. CCF A 类会议

2. Pengcheng Liu, Panpan Zheng, Liejun Wang. DMSHNet:Multi-Scale and Multi-Supervised Hierarchical network for Remote-Sensing Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing （TGRS），2024. 中科院一区

3. Naiwei He, Liejun Wang, Panpan Zheng, Cui Zhang and Lele Li. CBSASNet: A Siamese Network Based on Channel Bias Split Attention for Remote Sensing Change Detection. IEEE Transactions on Geoscience and Remote Sensing （TGRS），2024. 中科院一区

4. Rundong Zhao, Panpan Zheng, Cui Zhang and Liejun Wang. Progressive Complementation Network With Semantics and Details for Salient Object Detection in Optical Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing （JSTAR），2024. 中科院二区

5. Shuhan Yuan, Panpan Zheng, Xintao Wu and Qinghua Li. Few-shot Insider Threat Detection. Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM 2020). CCF B类会议

6. Shuhan Yuan, Panpan Zheng, Xintao Wu and Qinghua Li. Insider Threat Detection via Hierarchical Neural Temporal Point Processes (acceptance rate 19.27%). Proceedings of the 7th International Conference on Big Data (BigData), 2019. CCF C类会议

7. Shuhan Yuan, Panpan Zheng, Xintao Wu and Yang Xiang. Wikipedia Vandal Early Detection: from User Behavior to User Embedding. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2017. CCF B类会议

8. 巫朝霞, 郑盼盼. 一种基于顺序 QR 分解和 Adaboost 分类器的盲水印算法. 计算机应用研究, Vol. 33 No. 11, 2016. 中文核心期刊

9. Zhan Li, Jin-Ye Peng, Guo-Hua Geng, Xiao-Jiang Chen and  Panpan Zheng. Video recommendation based on multi-modal information and multiple kernel. Multimedia Tools and Applications, 74(13):4599-4616, 2015. 中科院三区

个人荣誉

1. 亚马逊电商月最佳员工 (top 2%) 2021.

2. 国家奖学金 2007.

社会工作

1. Program committee (PC) member for BIBM, since 2024.

2. Program committee (PC) member for ACM MM, since 2024.

3. Program committee (PC) member for IEEE International Conference on Big Data, since 2020.

4. Reviewer for Transactions on Network Science and Engineering (TNSE), IEEE, since 2022.

5. Reviewer for International Journal of Data Science and Analytics, Springer, since 2021.

6. Reviewer for Neural Networks, Elsevier, since 2021.

7. Reviewer for Journal of the Operational Research Society (JORS), Taylor & Francis, since 2020.

8. Reviewer for Quality Engineering,Taylor & Francis, since 2019.

9. Reviewer for Social Network Analysis and Mining(SNAM), Springer, since 2019.