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08/10/2023
LLM As DBA
Database administrators (DBAs) play a crucial role in managing, maintain...
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06/15/2023
Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation
Zero-shot NL2SQL is crucial in achieving natural language to SQL that is...
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06/02/2023
RITA: Group Attention is All You Need for Timeseries Analytics
Timeseries analytics is of great importance in many real-world applicati...
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06/02/2023
From Large Language Models to Databases and Back: A discussion on research and education
This discussion was conducted at a recent panel at the 28th Internationa...
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05/23/2023
iCOIL: Scenario Aware Autonomous Parking Via Integrated Constrained Optimization and Imitation Learning
Autonomous parking (AP) is an emering technique to navigate an intellige...
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04/19/2023
GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database
Multinational enterprises conduct global business that has a demand for ...
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08/16/2022
Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection
Integrated sensing and communication (ISAC) represents a paradigm shift,...
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06/12/2022
Stochastic Gradient Descent without Full Data Shuffle
Stochastic gradient descent (SGD) is the cornerstone of modern machine l...
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12/24/2021
nvBench: A Large-Scale Synthesized Dataset for Cross-Domain Natural Language to Visualization Task
NL2VIS - which translates natural language (NL) queries to corresponding...
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08/23/2021
Recurrent multiple shared layers in Depth for Neural Machine Translation
Learning deeper models is usually a simple and effective approach to imp...
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07/19/2021
Residual Tree Aggregation of Layers for Neural Machine Translation
Although attention-based Neural Machine Translation has achieved remarka...
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12/04/2020
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation
Can AI help automate human-easy but computer-hard data preparation tasks...
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09/23/2020
Representation Learning from Limited Educational Data with Crowdsourced Labels
Representation learning has been proven to play an important role in the...
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08/28/2020
Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration
The proliferation of big data has brought an urgent demand for privacy-p...
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05/16/2020
Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms
Asking questions is one of the most crucial pedagogical techniques used ...
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03/30/2020
Temporal Network Representation Learning via Historical Neighborhoods Aggregation
Network embedding is an effective method to learn low-dimensional repres...
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12/06/2019
Towards Interpretable and Learnable Risk Analysis for Entity Resolution
Machine-learning-based entity resolution has been widely studied. Howeve...
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11/04/2019
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms
In this paper, we propose a Deep Reinforcement Learning (RL) framework f...
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06/15/2019
Technical Report: Optimizing Human Involvement for Entity Matching and Consolidation
An end-to-end data integration system requires human feedback in several...
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06/06/2019
An End-to-End Learning-based Cost Estimator
Cost and cardinality estimation is vital to query optimizer, which can g...
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05/12/2019
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository
Researchers currently rely on ad hoc datasets to train automated visuali...
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06/13/2018
Crowd-Powered Data Mining
Many data mining tasks cannot be completely addressed by automated proce...
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04/26/2018
PANDA: Facilitating Usable AI Development
Recent advances in artificial intelligence (AI) and machine learning hav...
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02/06/2018
Trajectory-driven Influential Billboard Placement
In this paper we propose and study the problem of trajectory-driven infl...
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08/07/2017