Lei Cao

2024

• Yuhao Deng, Yu Wang, Lei Cao, Samuel Madden
  Outlier Summarization via Human Interpretable Rules
  VLDB 2024

2023

• Huayi Zhang, Binwei Yan, Lei Cao, Samuel Madden, Elke Rundensteiner
  MetaStore: Deep Learning Meta-Data Analytics at Scale
  VLDB 2024
• Yuhao Deng, Chengliang Chai, Lei Cao, Nan Tang, Ju Fan, Jiayi Wang, Ye Yuan, Guoren Wang
  MisDetect: Iterative Mislabel Detection using Early Loss
  VLDB 2024
• Jiaming Liang, Lei Cao, Samuel Madden, Zachary Ives, Guoliang Li
  RITA: Group Attention is All You Need for Timeseries Analytics
  SIGMOD 2024
• Nan Tang, Chenyu Yang, Ju Fan, Lei Cao, Yuyu Luo, Alon Halevy
  VerifAI: Verified Generative AI
  CIDR 2024
• Zui Chen, Lei Cao, Samuel Madden
  Lingua Manga : A Generic Large Language Model Centric System for Data Curation
  VLDB 2023 (Demo)
• Ferdi Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Samuel Madden
  Extract-Transform-Load for Video Streams
  VLDB 2023
• Zihui Gu, Ju Fan, Nan Tang, Lei Cao, Bowen Jia, Samuel Madden, Xiaoyong Du
  Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning
  SIGMOD 2023

2022

• Zui Chen, Lei Cao, Samuel Madden
  RoTaR: Efficient Row-Based Table Representation Learning via Teacher-Student Training
  NeuIPS table representation learning workshop
• Jiawei Tang, Yifei Zuo, Lei Cao, Samuel Madden
  Generic Entity Resolution Models
  NeuIPS table representation learning workshop
• Zui Chen, Zihui Gu, Lei Cao, Ju Fan, Samuel Madden, Nan Tang
  SYMPHONY: Towards Natural Language Query Answering over Multi-modal Data Lakes
  CIDR 2023
• Zhongqiang Gao, Chuanqi Cheng, Yanwei Yu, Lei Cao, Chao Huang, Junyu Dong
  Scalable Motif Counting for Large-scale Temporal Graphs
  ICDE 2022
• Lei Cao, Yizhou Yan, Yu Wang, Samuel Madden, Elke Rundensteiner
  AutoOD: Automatic Outlier Detection
  SIGMOD 2023
• Dennis Hofmann, Peter VanNostrand, Huayi Zhang, Yizhou Yan, Lei Cao*, Samuel Madden, Elke Rundensteiner
  A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System
  PVLDB 2022 (Demo)

2021

• Guoliang Li, Xuanhe Zhou, Lei Cao
  Machine learning for databases
  PVLDB 2021 (Tutorial)
• Guoliang Li, Xuanhe Zhou, Lei Cao
  AI Meets Database: AI4DB and DB4A
  SIMGOD 2021 (Tutorial)
• Lei Cao, Dongqing Xiao, Yizhou Yan, Samuel Madden, Guoliang Li
  ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee
  PVLDB 2021 (Demo)
• Huayi Zhang, Lei Cao*, Samuel Madden, Elke Rundensteiner
  LANCET: Labeling Complex Data At Scale
  PVLDB 2021
• Huayi Zhang, Lei Cao*, Peter M. VanNostrand, Samuel Madden, Elke Rundensteiner
  Elite: Robust Deep Anomaly Detection with Meta Gradient
  KDD 2021
• Yi Lu, Xiangyao Yu, Lei Cao, Samuel Madden
  Epoch-based Commit and Replication in Distributed OLTP Databases
  VLDB 2021

2020

• Yi Lu, Xiangyao Yu, Lei Cao, Samuel Madden
  Aria: A Fast and Practical Deterministic OLTP Database
  VLDB 2020
• Chengliang Chai, Lei Cao, Yuyu Luo, Guoliang Li, Jian Li, Samuel Madden
  Human-in-the-loop Outlier Detection
  SIGMOD 2020
• Huayi Zhang*, Lei Cao*, Yizhou Yan, Samuel Madden, Elke Rundensteiner
  Continuous Adaptive Similarity Search
  SIGMOD 2020
• El Kindi Rezig, Lei Cao, Samuel Madden, Mike Stonebraker etc
  Dagger: A Data (not code) Debugger
  CIDR 2020

2019

• El Kindi Rezig, Lei Cao, Mike Stonebraker, Samuel Madden etc
  Data Civilizer 2.0: A Holistic Framework for Data Preparation and Analytics
  VLDB 2019 (Demo)
• Lei Cao, Wenbo Tao, Sam Madden, Mike Stonebraker etc
  Smile: A System to Support Machine Learning on EEG Data at Scale
  VLDB 2019
• Lei Cao, Yizhou Yan, Samuel Madden, Elke A. Rundensteiner
  Efficient Discovery of Sequence Outlier Patterns [Code]
  VLDB 2019
• Yizhou Yan*, Lei Cao*, Samuel Madden, Elke A. Rundensteiner (*Equal Contribution)
  SWIFT: Mining Representative Patterns from Large Event Streams [Code]
  VLDB 2019
• Xiao Qin, Lei Cao, Elke A. Rundensteiner, Samuel Madden
  Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams
  EDBT 2019

2017

• Yizhou Yan*, Lei Cao*, Elke Rundensteiner (*Equal Contribution)
  Scalable Top-n Local Outlier Detection [Code] [Video]
  KDD 2017
• Yizhou Yan*, Lei Cao*, Caitlin Kuhlman, Elke Rundensteiner (*Equal Contribution)
  Distributed Local Outlier Detection in Big Data [Code] [Video]
  KDD 2017
• Xiao Qin, Tabassum Kakar, Susmitha Wunnava, Elke Rundensteiner, Lei Cao
  MARAS: Signaling Multi-Drug Adverse Reactions
  KDD 2017
• Yanwei Yu, Lei Cao*, Elke Rundensteiner, Qin Wang (*Corresponding author)
  Outlier Detection over Massive-Scale Trajectory Streams
  TODS 2017
• Lei Cao, Yizhou Yan, Caitlin Kuhlman, Qingyang Wang, Elke Rundensteiner, Mohamed Eltabakh
  Multi-tactic Distance-based Outlier Detection
  ICDE 2017
• Caitlin Kuhlman, Yizhou Yan, Lei Cao, Elke Rundensteiner
  Pivot-based Distributed K-Nearest Neighbor Mining
  ECML-PKDD 2017
• Yizhou Yan, Lei Cao, Elke Rundensteiner
  Distributed Top-N Local Outlier Detection in Big Data
  IEEE Big Data 2017
• Mingrui Wei, Lei Cao, Chris Cormier, Hui Zheng, Elke Rundensteiner
  Interactive Analytics System for Exploring Outliers
  CIKM 2017 (Demo)

2016

• Lei Cao, Jiayuan Wang, Elke Rundensteiner
  Sharing-Aware Outlier Analytics over High Volume Data Streams
  SIGMOD 2016

2015

• Lei Cao, Mingrui Wei, Di Yang, Elke Rundensteiner
  Online Outlier Exploration Over Large Dataset
  KDD 2015

2014

• Lei Cao, Qingyang Wang, Elke Rundensteiner
  Interactive Outlier exploration In big Data Streams
  PVLDB 2014
• Yanwei Yu*, Lei Cao*, Elke Rundensteiner, Qin Wang (*Equal Contribution)
  Trajectory Outlier Detection over Massive-Scale Moving Object Streams
  KDD 2014
• Yingmei Qi, Lei Cao, Medhabi Ray, Elke Rundensteiner
  Complex Event Analytics: Online Aggregation of Stream Sequence Patterns
  SIGMOD 2014
• Lei Cao, Di Yang, Qingyang Wang, Yanwei Yu, Jiayuan Wang, Elke Rundensteiner
  Scalable Outlier Detection Over High-Volume Data Streams
  ICDE 2014

2013

• Lei Cao, Elke Rundensteiner
  High Performance Stream Query Processing with Correlation-Aware Partitioning
  PVLDB 2013