Kaiyu Li

The main focus of my research is how to govern data to support the establishment of a data ecosystem, for example, data acquisition and data preparation to support machine learning tasks. I also study the components and key techniques for the next generation of data marketplaces, such as data pricing and data owners' contribution estimation in a data federation.

I am offering research assistantship opportunities for undergraduate and graduate students. I am also searching for my own master's and PhD students who are interested in participating in my research projects. I collaborate with researchers from York University, Tsinghua University, Renmin University of China, Duke University, and the University of California, Berkeley.

2024

• Chen, Yiwei, Kaiyu Li, Guoliang Li, and Yong Wang. "Contributions Estimation in Federated Learning: A Comprehensive Experimental Evaluation." Proceedings of the VLDB Endowment 17, no. 8 (2024): 2077-2090. （corresponding author）
• Wang, Yong, Kaiyu Li, Yuyu Luo, Guoliang Li, Yunyan Guo, and Zhuo Wang. "Fast, Robust and Interpretable Participant Contribution Estimation for Federated Learning." In 2024 IEEE 40th International Conference on Data Engineering (ICDE), pp. 2298-2311. IEEE, 2024. （corresponding author）
• Zhongxin Hu, Kaiyu Li, Xingjian Mao, Jingfeng Pan, Yunfei Peng, Aijun An, Xiaohui Yu and Dariusz Jania. "DAMOCRO: A Data Migration Framework Using Online Classification and Reordering ." 33rd ACM International Conference on Information and Knowledge Management (ACM CIKM 2024)

Before 2023

• Wang, Yong, Guoliang Li, Kaiyu Li, and Haitao Yuan. "A deep generative model for trajectory modeling and utilization." Proceedings of the VLDB Endowment 16, no. 4 (2022): 973-985.
• Wang, Yong, Kaiyu Li, Guoliang Li, and Nan Tang. "Road-Aware Indexing for Trajectory Range Queries." IEEE Transactions on Knowledge and Data Engineering 35, no. 8 (2022): 8476-8489.
• Li, Kaiyu, Guoliang Li, Yong Wang, Yan Huang, Zitao Liu, and Zhongqin Wu. "Crowdrl: An end-to-end reinforcement learning framework for data labelling." In 2021 IEEE 37th International Conference on Data Engineering (ICDE), pp. 289-300. IEEE, 2021.
• Ta, Na, Kaiyu Li, Yi Yang, Fang Jiao, Zheng Tang, and Guoliang Li. "Evaluating public anxiety for topic-based communities in social networks." IEEE Transactions on Knowledge and Data Engineering 34, no. 3 (2020): 1191-1205.（corresponding author）
• Li, Kaiyu, Xiaohang Zhang, and Guoliang Li. "A rating-ranking method for crowdsourced top-k computation." In Proceedings of the 2018 International Conference on Management of Data, pp. 975-990. 2018.
• Li, Kaiyu, Yong Zhang, Guoliang Li, Wenbo Tao, and Ying Yan. "Bounded approximate query processing." IEEE Transactions on Knowledge and Data Engineering 31, no. 12 (2018): 2262-2276.
• Kim, San, Guoliang Li, Jianhua Feng, and Kaiyu Li. "Web table understanding by collective inference." In Proceedings of the 27th ACM International Conference on Information and Knowledge Management, pp. 217-226. 2018.

• CP104: Introduction to Programming, Wilfrid Laurier University
• CP164: Data Structures, Wilfrid Laurier University
• CP600: Practical Algorithm Design, Wilfrid Laurier University
• CP612: Data Management and Analysis, Wilfrid Laurier University
• ITEC 4230: Data Warehouse & Business Intelligence, York University
• ITEC 4020: Client-Server System, York University
• ITEC 4060: Enterprise Architecture, York University