Xiaolan Wang got two papers accepted on her dissertation work. MIDAS: Finding the Right Web Sources to Fill Knowledge Gaps (ICDE 2019) Xiaolan Wang, Luna Dong, Alexandra Meliou, Yang Li Explain3D: Explaining Disagreements in Disjoint Datasets (PVLDB 2019) Xiaolan Wang, Alexandra Meliou
Liping Peng’s paper “Optimization for Active Learning-based Interactive Database Exploration” was accepted to VLDB 2019. Authors: Enhui Huang, Liping Peng, Luciano Di Palma, Ahmed Abdelkafi, Anna Liu, Yanlei Diao.
Ryan McKenna’s paper “Optimizing error of high-dimensional statistical queries under differential privacy” was accepted to VLDB 2018. Xiaolan Wang’s paper “Scalable Semantic Querying of Text” was accepted to VLDB 2018. Authors: Xiaolan Wang, Aaron Feng, Behzad Golshan, Alon Halevy, George Mihaila, Hidekazu Oiwa, Wang-Chiew Tan.
Xiaolan Wang’s paper “Explaining Data Integration” was accepted to IEEE Data Engineering Bulletin 2018. Authors: Xiaolan Wang, Laura Haas, Alexandra Meliou.
Dan Zhang’s paper on differentially-private computations was accepted to SIGMOD 2018. “Ektelo: A Framework for Defining Differentially-Private Computations” Dan Zhang, Ryan McKenna, Ios Kotsogiannis, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala. The paper will be invited to the “Best of SIGMOD 2018” volume of the TODS journal
“SQuID: Semantic Similarity-Aware Query Intent Discovery” Anna Fariha, Sheikh Muhammad Sarwar, Alexandra Meliou “IoT-Dectective: Analyzing IoT Data Under Differential Privacy” Sameera Ghayyur, Ashwin Machanavajjhala, Yan Chen, Michael Hay, Sharad Mehrotra, Roberto Yus, Gerome Miklau “A Nutritional Label for Rankings” Ke Yang, Bill Howe, Julia Stoyanovich, HV Jagadish, Abolfazl Asudeh, Gerome […]
Yue Wang‘s paper on supporting query result diversification was accepted to PVLDB 2018. “RC-Index: Diversifying Answers to Range Queries” Yue Wang, Alexandra Meliou, Gerome Miklau
Two papers from our DBLab have been nominated and selected for publication in the “Research Highlights” section of the CACM! “Scalable Package Queries in Relational Database Systems” Matteo Brucato, Juan Felipe Beltran, Azza Abouzied, and Alexandra Meliou “Compressed Linear Algebra for Large-Scale Machine Learning” Ahmed Elgohary, Matthias Boehm, Peter J. […]
Matteo Brucato’s paper “Package queries: efficient and scalable computation of high-order constraints” was accepted to the VLDB Journal, special issue on the Best Papers of VLDB 2016. The paper will appear in volume 27 of the VLDB Journal.