Jiayi Wang

According to our database, Jiayi Wang authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Cost-effective Missing Value Imputation for Data-effective Machine Learning.

Chengliang Chai, Kaisen Jin, Nan Tang, Ju Fan, Dongjing Miao, Jiayi Wang, Yuyu Luo, Guoliang Li, Ye Yuan, Guoren Wang

ACM Trans. Database Syst., September, 2025

iDataLake: An LLM-Powered Analytics System on Data Lakes.

Jiayi Wang, Guoliang Li, Jianhua Feng

IEEE Data Eng. Bull., 2025

Data+AI: LLM4Data and Data4LLM.

Guoliang Li, Jiayi Wang, Chenyang Zhang, Jiannan Wang

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

Federated Data Analytics with Differentially Private Density Estimation Model.

Jiayi Wang, Lei Cao, Chengliang Chai, Guoliang Li

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

MisDetect: Iterative Mislabel Detection using Early Loss.

Yuhao Deng, Chengliang Chai, Lei Cao, Nan Tang, Jiayi Wang, Ju Fan, Ye Yuan, Guoren Wang

Proc. VLDB Endow., February, 2024

Cardinality estimation using normalizing flow.

Jiayi Wang, Chengliang Chai, Jiabin Liu, Guoliang Li

VLDB J., 2024

IDE: A System for Iterative Mislabel Detection.

Yuhao Deng, Deng Qiyan, Chengliang Chai, Lei Cao, Nan Tang, Ju Fan, Jiayi Wang, Ye Yuan, Guoren Wang

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

2023

Data Management for Machine Learning: A Survey.

Chengliang Chai, Jiayi Wang, Yuyu Luo, Zeping Niu, Guoliang Li

IEEE Trans. Knowl. Data Eng., May, 2023

GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data.

Chengliang Chai, Jiabin Liu, Nan Tang, Ju Fan, Dongjing Miao, Jiayi Wang, Yuyu Luo, Guoliang Li

Proc. ACM Manag. Data, 2023

Efficient Coreset Selection with Cluster-based Methods.

Chengliang Chai, Jiayi Wang, Nan Tang, Ye Yuan, Jiabin Liu, Yuhao Deng, Guoren Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning.

Jiayi Wang, Chengliang Chai, Nan Tang, Jiabin Liu, Guoliang Li

Proc. VLDB Endow., 2022

2021

FACE: A Normalizing Flow based Cardinality Estimator.

Jiayi Wang, Chengliang Chai, Jiabin Liu, Guoliang Li

Proc. VLDB Endow., 2021