专 业：计算机科学

研究方向：联邦学习，持续学习，差分隐私

邮 箱：jiaotian@xju.edu.cn

教育背景

1.2019.03-2023.06斯文本科技大学，计算机科学，博士

2.2017.02-2018.12悉尼大学，计量金融和商业大数据，硕士

3.2010.09-2014.06厦门理工学院，数学与应用数学和国际商务，学士

社会工作

1.2023.07-至今，新疆大学，73882必赢网页版

2.2014.07-2016.08，山西嘉龙基础工程有限公司，会计

学术成果

1.J. Tian, P.-W. Tsai, F. Wang, K. Zhang, H. Xiao, and J. Chen, “An optional splitting extraction based Gain-AUPRC balanced strategy in federated XGBoost for mitigating imbalanced credit card fraud detection, ”International Journal of Bio-Inspired Computation. IF=3.977

2. J. Tian, P.-W. Tsai, K. Zhang, X. Cai, H. Xiao, K. Yu, and J. Chen, “Synergetic Focal Loss for Multiple Classification in Federated XGBoost with Non-IID Labels,”IEEE Transactions on Artificial Intelligence. IF=7.25

3. J. Tian, X. Cai, K. Zhang, H. Xiao, K. Yu, and P.-W. Tsai, “Sliding Focal Loss for Class Imbalance Classification in Federated XGBoost,” inProc. IEEE International Symposium on Parallel and Distributed Processing with Applications. (CCF Rank C)

4. K. Zhang,J. Tian, H. Xiao, Y. Zhao, W. Zhao, and J. Chen, “A numerical splitting and adaptive privacy budget allocation based LDP mechanism for privacy preservation in blockchain‐powered IoT,”IEEE Internet of Things J, Vol.1, 2022.IF=10.6

5. J. He,J. Tian, Y. Wu, X. Cai, K. Zhang, M. Guo, ... & Ji, Y, “An efficient solution to detect common topologies in money laundering based on coupling and connection,”IEEE Intelligent Systems, vol. 36, no. 1, pp. 64-74, 2021.IF=6.744

6. X. Cai,J. Tian, K. Zhang, H. Xiao, K. Yu, and P.-W. Tsai, “Zero-shot Topic Classification via Automatic Tagging on Chinese Text Datasets,” inProc. IEEE International Symposium on Parallel and Distributed Processing with Applications.(CCF Rank C)