Subquery Plan Reuse based Query Optimization. - Venkata Vamsikrishna Meduri; Kian-Lee Tan (COMAD, 2011)

A Write Efficient PCM-Aware Sort. - Venkata Vamsikrishna Meduri; Zhan Su; Kian-Lee Tan (DEXA (1), 2012)

BayesWipe: A Scalable Probabilistic Framework for Cleaning BigData. - Sushovan De; Yuheng Hu; Venkata Vamsikrishna Meduri; Yi Chen 001; Subbarao Kambhampati (CoRR, 2015)

A Game Theoretic Approach to Ad-Hoc Coalitions in Human-Robot Societies. - Tathagata Chakraborti; Venkata Vamsikrishna Meduri; Vivek Dondeti; Subbarao Kambhampati (AAAI Workshop: Multiagent Interaction without Prior Coordination, 2016)

Tweeting the Mind and Instagramming the Heart: Exploring Differentiated Content Sharing on Social Media. - Lydia Manikonda; Venkata Vamsikrishna Meduri; Subbarao Kambhampati (ICWSM, 2016)

Towards User-Aware Rule Discovery. - Venkata Vamsikrishna Meduri; Paolo Papotti (ISIP, 2016)

BayesWipe: A Scalable Probabilistic Framework for Improving Data Quality. - Sushovan De; Yuheng Hu; Venkata Vamsikrishna Meduri; Yi Chen 001; Subbarao Kambhampati (ACM J. Data Inf. Qual., 2016)

Generating Concise Entity Matching Rules. - Rohit Singh 002; Venkata Vamsikrishna Meduri; Ahmed K. Elmagarmid; Samuel Madden 001; Paolo Papotti; Jorge-Arnulfo Quiané-Ruiz; Armando Solar-Lezama; Nan Tang 001 (SIGMOD Conference, 2017)

Synthesizing Entity Matching Rules by Examples. - Rohit Singh 002; Venkata Vamsikrishna Meduri; Ahmed K. Elmagarmid; Samuel Madden 001; Paolo Papotti; Jorge-Arnulfo Quiané-Ruiz; Armando Solar-Lezama; Nan Tang 001 (Proc. VLDB Endow., 2017)

Robust Discovery of Positive and Negative Rules in Knowledge Bases. - Stefano Ortona; Venkata Vamsikrishna Meduri; Paolo Papotti (ICDE, 2018)

Human-Database Interaction: A Holistic Approach. - Mohamed Sarwat; Venkata Vamsikrishna Meduri (ICDE, 2018)

RuDiK: Rule Discovery in Knowledge Bases. - Stefano Ortona; Venkata Vamsikrishna Meduri; Paolo Papotti (Proc. VLDB Endow., 2018)

Recurrent Neural Networks for Dynamic User Intent Prediction in Human-Database Interaction. - Venkata Vamsikrishna Meduri; Kanchan Chowdhury; Mohamed Sarwat (EDBT, 2019)

A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching. - Venkata Vamsikrishna Meduri; Lucian Popa 001; Prithviraj Sen; Mohamed Sarwat (SIGMOD Conference, 2020)

Mining Expressive Rules in Knowledge Graphs. - Naser Ahmadi; Viet-Phi Huynh; Venkata Vamsikrishna Meduri; Stefano Ortona; Paolo Papotti (ACM J. Data Inf. Qual., 2020)

GEM: An Efficient Entity Matching Framework for Geospatial Data. - Setu Shah; Vamsi Meduri; Mohamed Sarwat (SIGSPATIAL/GIS, 2021)

BI-REC: Guided Data Analysis for Conversational Business Intelligence. - Venkata Vamsikrishna Meduri; Abdul Quamar; Chuan Lei; Vasilis Efthymiou; Fatma Ozcan (CoRR, 2021)

Evaluation of Machine Learning Algorithms in Predicting the Next SQL Query from the Future. - Venkata Vamsikrishna Meduri; Kanchan Chowdhury; Mohamed Sarwat (ACM Trans. Database Syst., 2021)

A Machine Learning-Aware Data Re-partitioning Framework for Spatial Datasets. - Kanchan Chowdhury; Venkata Vamsikrishna Meduri; Mohamed Sarwat (ICDE, 2022)

Alfa: active learning for graph neural network-based semantic schema alignment. - Venkata Vamsikrishna Meduri; Abdul Quamar; Chuan Lei; Xiao Qin 003; Berthold Reinwald (VLDB J., 2024)