Publications

Yiming Lin, Sharad Mehrotra (2024). PLAQUE: Automated Predicate Learning at Query Time. In SIGMOD, 2024.

Yiming Lin, Sharad Mehrotra (2023). ZIP: Lazy Imputation during Query Processing. In PVLDB, 2024.

Yiming Lin, Yeye He, Surajit Chaudhuri (2023). Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph. In PVLDB, 2023.

Rithwik Kerur, Yiming Lin (2023). Robust Occupancy Computation Based on WiFi Connectivity Events. In ASTRIDE@ICDE 2023, Winner of the first place in the ASTRIDE workshop competition.

Yiming Lin, Pramod Khargonekar, Sharad Mehrotra, Nalini Venkatasubramanian (2021). T-cove: an exposure tracing system based on cleaning wi-fi events on organizational premises. In PVLDB 2021 (demo).

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Yiming Lin, Daokun Jiang, Roberto Yus, Georgios Bouloukakis, Andrew Chio, Sharad Mehrotra, Nalini Venkatasubramanian (2020). Locater: Cleaning Wifi Connectivity Datasets for Semantic Localization. In PVLDB 2021.

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Yiming Lin, Hongzhi Wang, Jianzhong Li, Hong Gao (2020). Efficient entity resolution on heterogeneous records. (Extended Abstract). In ICDE, 2020.

Yiming Lin, Hongzhi Wang, Jianzhong Li, Hong Gao (2019). Efficient entity resolution on heterogeneous records.. In TKDE, 2019.

Yiming Lin, Hongzhi Wang, Jianzhong Li, Hong Gao (2019). Data source selection for information integration in big data era. In Information Sciences 2019.

Yiming Lin, Hongzhi Wang, Shuo Zhang, Jianzhong Li, Hong Gao (2016). Efficient quality-driven source selection from massive data sources. In Journal of Systems and Software, 2016.