BitMat: A Main-memory Bit Matrix of RDF Triples for Conjunctive Triple Pattern Queries. - Medha Atre; Jagannathan Srinivasan; James A. Hendler (ISWC (Posters & Demos), 2008)

Visualizing large-scale RDF data using Subsets, Summaries, and Sampling in Oracle. - Seema Sundara; Medha Atre; Vladimir Kolovski; Souripriya Das; Zhe Wu; Eugene Inseok Chong; Jagannathan Srinivasan (ICDE, 2010)

Matrix "Bit" loaded: a scalable lightweight join query processor for RDF data. - Medha Atre; Vineet Chaoji; Mohammed J. Zaki; James A. Hendler (WWW, 2010)

Scalable reduction of large datasets to interesting subsets. - Gregory Todd Williams; Jesse Weaver; Medha Atre; James A. Hendler (J. Web Semant., 2010)

Bit-by-bit: indexing and querying RDF data using compressed bit-vectors. - Medha Atre (2011)

BitPath – Label Order Constrained Reachability Queries over Large Graphs - Medha Atre; Vineet Chaoji; Mohammed J. Zaki (CoRR, 2012)

OptBitMat: For SPARQL OPTIONAL (left-outer-join) queries - Medha Atre (CoRR, 2013)

Left Bit Right: For SPARQL Join Queries with OPTIONAL Patterns (Left-outer-joins). - Medha Atre (SIGMOD Conference, 2015)

Quark-X: An Efficient Top-K Processing Framework for RDF Quad Stores. - Jyoti Leeka; Srikanta Bedathur; Debajyoti Bera; Medha Atre (CIKM, 2016)

For the DISTINCT Clause of SPARQL Queries. - Medha Atre (WWW (Companion Volume), 2016)

Efficient RDF dictionaries with B+ trees. - Gurkirat Singh; Dhawal Upadhyay; Medha Atre (COMAD/CODS, 2018)

Preface. - Marieke van Erp; Medha Atre; Vanessa López; Kavitha Srinivas; Carolina Fortuna (ISWC (P&D/Industry/BlueSky), 2018)

Algorithms and Analysis for the SPARQL Constructs. - Medha Atre (CoRR, 2018)

Verity: Blockchains to Detect Insider Attacks in DBMS. - Shubham S. Srivastava; Medha Atre; Shubham Sharma 003; Rahul Gupta; Sandeep K. Shukla (CoRR, 2019)

Verity: Blockchain Based Framework to Detect Insider Attacks in DBMS. - Shubham Sahai; Medha Atre; Shubham Sharma 003; Rahul Gupta; Sandeep K. Shukla (Blockchain, 2020)

Needles in the 'Sheet'stack: Augmented Analytics to get Insights from Spreadsheets. - Medha Atre; Anand Deshpande; Reshma Godse; Pooja Deokar; Sandip Moharir; Dhruva Ray; Akshay Chitlangia; Trupti Phadnis; Yugansh Goyal (CoRR, 2020)

Distributed Deep Learning Using Volunteer Computing-Like Paradigm. - Medha Atre; Birendra Jha; Ashwini Rao (IPDPS Workshops, 2021)

Detecting Cloud-Based Phishing Attacks by Combining Deep Learning Models. - Birendra Jha; Medha Atre; Ashwini Rao (TPS-ISA, 2022)

The Case of SPARQL UNION, FILTER and DISTINCT. - Medha Atre (WWW, 2022)