Publications

Yiming Lin, Sharad Mehrotra (2022). ZIP: Lazy Imputation during Query Processing. Under review in PVLDB 2023.

Yiming Lin, Yeye He (2022). Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph. Under review in VLDB 2023.

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.

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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.

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Sumaya Almanee, Georgios Bouloukakis, Daokun Jiang, Sameera Ghayyur, Dhrubajyoti Ghosh, Peeyush Gupta, Yiming Lin, Sharad Mehrotra, Primal Pappachan, Eun-Jeong Shin, Nalini Venkatasubramanian, Guoxi Wang, Roberto Yus (2019). Demo Abstract: SemIoTic: Bridging the Semantic Gap in IoT Spaces. In BuildSys 2019.

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Yiming Lin, Hongzhi Wang, Jianzhong Li, Hong Gao (2019). Efficient quality-driven source selection from massive data sources. In TKDE, 2019.

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

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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.

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