曹杰，合肥工业大学教授、博士生导师，获教育部新世纪优秀人才、荣获“2022年人工智能全球最具影响力学者”称号，入选斯坦福大学“全球前2%顶尖科学家榜单”年度科学影响力排行榜。

从事在商务智能和数据挖掘领域的研究工作。共主持纵、横向项目超过30余项，包括国家自然科学基金重点项目2项、科技部国际合作重大专项1项、国家重点研发计划课题2项。累计发表135篇SCI/EI论文，论文SCI引用次数5000次；获授权发明专利32项。以第一完成人获江苏省科学技术进步奖二等奖2项、教育部科学技术进步奖二等奖1项。

[1] Guangliang Gao, Zhifeng Bao, Jie Cao*, A. K. Qin, Timos Sellis, Zhiang Wu. Location-Centered House Price Prediction: A Multi-Task Learning Approach. ACM Transactions on Intelligent Systems and Technology, 13(2): 1-26, 2021. 

[2] Lei Chen, Jie Cao*, Haicheng Tao, Jia Wu. Trip Reinforcement Recommendation with Graph-based Representation Learning. ACM Transactions on Knowledge Discovery from Data (TKDD). https://doi.org/10.1145/3564609.

[3] Yuyao Wang, Jie Cao*, Zhan Bu, Mingming Leng. Temporal Dual-Attributed Network Generation Oriented Community Detection Model. IEEE Transactions on Emerging Topics in Computing, DOI: 10.1109/TETC.2022.3223058.

[4] Jie Cao, Zhan Bu*, Yuyao Wang, Huan Yang, Jiuchuan Jiang, Huijia Li. Detecting prosumer-community group in smart grids from the multiagent perspective. IEEE Transactions on Systems Man Cybernetics-Systems, 49(8): 1652-1664, 2019.

[5] Jie Cao, Da Ding, Jinliang Liu*, Engang Tian, Songlin Hu, Xiangpeng Xie. Hybrid-triggered-based security controller design for networked control system under multiple cyber attacks. Information Sciences, 548: 69-84, 2021.

[6] Jie Cao, Youquan Wang*, Jing He, Weichao Liang, Haicheng Tao, Guixiang Zhu. Predicting grain losses and waste rate along the entire chain: A multitask multigated recurrent unit autoencoder based method. IEEE Transactions on Industrial Informatics, 17(6): 4390-4400, 2021.

[7] Sanmin Liu, Shan Xue , Jia Wu, Chuan Zhou, Jian Yang, Zhao Li, Jie Cao*. Online Active Learning for Drifting Data Streams. IEEE Transactions on Neural Networks and Learning Systems, Online, DOI 10.1109/TNNLS.2021.3091681(2021).

[8] Jie Cao, Yuyao Wang*, Zhan Bu, Youquan Wang, Haicheng Tao, Guixiang Zhu. Compactness preserving community computation via a network generative process. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(5): 1044-1056, 2022.

[9] Zhan Bu, Hui-Jia Li, Chengcui Zhang, Jie Cao*, Aihua Li, Yong Shi. Graph K-means based on leader identification, dynamic game, and opinion dynamics. IEEE Transactions on Knowledge and Data Engineering, 32(7): 1348-1361, 2020.