Lei Cao

Proc. ACM Manag. Data, September, 2024

LakeCompass: An End-to-End System for Table Maintenance, Search and Analysis in Data Lakes.

[BibT_eX]

[DOI]

Proc. VLDB Endow., August, 2024

Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL.

[BibT_eX]

[DOI]

Proc. VLDB Endow., July, 2024

LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes.

[BibT_eX]

[DOI]

Proc. VLDB Endow., April, 2024

Outlier Summarization via Human Interpretable Rules.

[BibT_eX]

[DOI]

Proc. VLDB Endow., March, 2024

MetaStore: Analyzing Deep Learning Meta-Data at Scale.

[BibT_eX]

[DOI]

Proc. VLDB Endow., February, 2024

MisDetect: Iterative Mislabel Detection using Early Loss.

[BibT_eX]

[DOI]

Proc. VLDB Endow., February, 2024

RITA: Group Attention is All You Need for Timeseries Analytics.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, February, 2024

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

CascadeServe: Unlocking Model Cascades for Inference Serving.

[BibT_eX]

[DOI]

CoRR, 2024

A Declarative System for Optimizing AI Workloads.

[BibT_eX]

[DOI]

CoRR, 2024

IDE: A System for Iterative Mislabel Detection.

[BibT_eX]

[DOI]

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

MoTTo: Scalable Motif Counting with Time-aware Topology Constraint for Large-scale Temporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

VerifAI: Verified Generative AI.

[BibT_eX]

[DOI]

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

Extract-Transform-Load for Video Streams.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

Lingua Manga: A Generic Large Language Model Centric System for Data Curation.

[BibT_eX]

[DOI]

Zui Chen

Sam Madden

Proc. VLDB Endow., 2023

Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2023

AutoOD: Automatic Outlier Detection.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2023

SEED: Simple, Efficient, and Effective Data Management via Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

VerifAI: Verified Generative AI.

[BibT_eX]

[DOI]

CoRR, 2023

RoTaR: Efficient Row-Based Table Representation Learning via Teacher-Student Training.

[BibT_eX]

[DOI]

Zui Chen

Sam Madden

CoRR, 2023

Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Interpretable Outlier Summarization.

[BibT_eX]

[DOI]

CoRR, 2023

Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes.

[BibT_eX]

[DOI]

Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

2022

A Demonstration of AutoOD: A Self-tuning Anomaly Detection System.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Online Discovery of Evolving Groups over Massive-Scale Trajectory Streams.

[BibT_eX]

[DOI]

CoRR, 2022

Scalable Motif Counting for Large-scale Temporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

LANCET: Labeling Complex Data at Scale.

[BibT_eX]

[DOI]

Huayi Zhang

Proc. VLDB Endow., 2021

Epoch-based Commit and Replication in Distributed OLTP Databases.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

Machine Learning for Databases.

[BibT_eX]

[DOI]

Guoliang Li

Xuanhe Zhou

Proc. VLDB Endow., 2021

AI Meets Database: AI4DB and DB4AI.

[BibT_eX]

[DOI]

Guoliang Li

Xuanhe Zhou

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

ELITE: Robust Deep Anomaly Detection with Meta Gradient.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Aria: A Fast and Practical Deterministic OLTP Database.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

Find you if you drive: Inferring home locations for vehicles with surveillance camera data.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Continuously Adaptive Similarity Search.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Conference on Management of Data, 2020

Human-in-the-loop Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Conference on Management of Data, 2020

Dagger: A Data (not code) Debugger.

[BibT_eX]

[DOI]

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Data Civilizer 2.0: A Holistic Framework for Data Preparation and Analytics.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

Efficient Discovery of Sequence Outlier Patterns.

[BibT_eX]

[DOI]

Mathan Gopalsamy

Proc. VLDB Endow., 2019

Smile: A System to Support Machine Learning on EEG Data at Scale.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams.

[BibT_eX]

[DOI]

Xiao Qin

Proceedings of the Advances in Database Technology, 2019

2018

SWIFT: Mining Representative Patterns from Large Event Streams.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

2017

Outlier Detection over Massive-Scale Trajectory Streams.

[BibT_eX]

[DOI]

Yanwei Yu

Karthikeyan Natesan Ramamurthy

Qin Wang

ACM Trans. Database Syst., 2017

How to foster innovation: A data-driven approach to measuring economic competitiveness.

[BibT_eX]

[DOI]

Caitlin Kuhlman

Aleksandra Mojsilovic

Kush R. Varshney

IBM J. Res. Dev., 2017

Pivot-Based Distributed K-Nearest Neighbor Mining.

[BibT_eX]

[DOI]

Caitlin Kuhlman

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Discovering Evolving Moving Object Groups from Massive-Scale Trajectory Streams.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

Scalable Top-n Local Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Distributed Local Outlier Detection in Big Data.

[BibT_eX]

[DOI]

Caitlin Kuhlman

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

MARAS: Signaling Multi-Drug Adverse Reactions.

[BibT_eX]

[DOI]

Xiao Qin

Tabassum Kakar

Susmitha Wunnava

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Multi-Tactic Distance-Based Outlier Detection.

[BibT_eX]

[DOI]

Mohamed Y. Eltabakh

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Interactive Analytics System for Exploring Outliers.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Distributed Top-N local outlier detection in big data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Sharing-Aware Outlier Analytics over High-Volume Data Streams.

[BibT_eX]

[DOI]

Jiayuan Wang

Proceedings of the 2016 International Conference on Management of Data, 2016

Multi-query outlier detection over data streams: poster.

[BibT_eX]

[DOI]

Jiayuan Wang

Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, 2016

2015

Exploiting Sharing Opportunities for Real-time Complex Event Analytics.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2015

Online Outlier Exploration Over Large Datasets.

[BibT_eX]

[DOI]

Mingrui Wei

Di Yang

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Interactive Outlier Exploration in Big Data Streams.

[BibT_eX]

[DOI]

Qingyang Wang

Proc. VLDB Endow., 2014

Complex event analytics: online aggregation of stream sequence patterns.

[BibT_eX]

[DOI]

Yingmei Qi

Medhabi Ray

Proceedings of the International Conference on Management of Data, 2014

Detecting moving object outliers in massive-scale trajectory streams.

[BibT_eX]

[DOI]

Yanwei Yu

Qin Wang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Scalable distance-based outlier detection over high-volume data streams.

[BibT_eX]

[DOI]

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013

High Performance Stream Query Processing With Correlation-Aware Partitioning.

[BibT_eX]

[DOI]