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Our paper “BlockchainDB A – Shared Database on Blockchains” was accepted to VLDB 2019
2019/07/01
We present BlockchainDB, which leverages blockchains as a storage layer and more..
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Our paper “DBPal: Weak Supervision for Learning a Natural Language Interface to Databases” was accepted for the “Conversational Access to Data (CAST) Workshop” at VLDB 2019
2019/07/01
A new system to translate natural language utterances into SQL statements using a neural machine translation model
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Our paper “Model-based Approximate Query Processing” was accepted to AIDB workshop at VLDB 2019
2019/06/12
New approach to Approximate Query Processing (AQP) called Model-based AQP
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Our demo ProgressiveDB – Progressive Data Analytics as a Middleware was accepted to VLDB 2019
2019/05/13
ProgressiveDB transforms any standard SQL database into a progressive database capable of continuous, approximate query processing.
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Our paper about a Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores was accepted to VLDB 2019
2019/04/24
A Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores
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Our paper about interactive summarization was accepted to HILDA 2019
2019/04/19
Interactive Summarization of Large Document Collections
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Our paper about learned Database partitioning was accepted to aiDM 2019
2019/04/15
Towards Learning a Partitioning Advisor with Deep Reinforcement Learning
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Our paper about Interactive Curation of ML Pipelines was accepted to Sigmod 2019
2019/03/22
Democratizing Data Science through Interactive Curation of ML Pipelines
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Our FITing-Tree paper was accepted to Sigmod 2019
2019/03/22
FITing-Tree: A Data-aware Index Structure
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Our BlockchainDB demo was accepted to Sigmod 2019
2019/03/22
BlockchainDB – Towards a Shared Database on Blockchains