Ranking distributed probabilistic data. - Feifei Li 001; Ke Yi 001; Jeffrey Jestes (SIGMOD Conference, 2009)

Probabilistic string similarity joins. - Jeffrey Jestes; Feifei Li 001; Zhepeng Yan; Ke Yi 001 (SIGMOD Conference, 2010)

Building Wavelet Histograms on Large Data in MapReduce. - Jeffrey Jestes; Ke Yi 001; Feifei Li 001 (Proc. VLDB Endow., 2011)

Semantics of Ranking Queries for Probabilistic Data. - Jeffrey Jestes; Graham Cormode; Feifei Li 001; Ke Yi 001 (IEEE Trans. Knowl. Data Eng., 2011)

Efficient parallel kNN joins for large data in MapReduce. - Chi Zhang; Feifei Li 001; Jeffrey Jestes (EDBT, 2012)

Efficient Threshold Monitoring for Distributed Probabilistic Data. - Mingwang Tang; Feifei Li 001; Jeff M. Phillips; Jeffrey Jestes (ICDE, 2012)

Ranking Large Temporal Data. - Jeffrey Jestes; Jeff M. Phillips; Feifei Li 001; Mingwang Tang (Proc. VLDB Endow., 2012)

Quality and efficiency for kernel density estimates in large data. - Yan Zheng 001; Jeffrey Jestes; Jeff M. Phillips; Feifei Li 001 (SIGMOD Conference, 2013)

Efficient Summarization Techniques for Massive Data. - Jeffrey Jestes (2013)

NDC: Analyzing the impact of 3D-stacked memory+logic devices on MapReduce workloads. - Seth H. Pugsley; Jeffrey Jestes; Huihui Zhang; Rajeev Balasubramonian; Vijayalakshmi Srinivasan; Alper Buyuktosunoglu; Al Davis; Feifei Li 001 (ISPASS, 2014)

Comparing Implementations of Near-Data Computing with In-Memory MapReduce Workloads. - Seth H. Pugsley; Jeffrey Jestes; Rajeev Balasubramonian; Vijayalakshmi Srinivasan; Alper Buyuktosunoglu; Al Davis; Feifei Li 001 (IEEE Micro, 2014)