Lei Cao

97 papers A* 14A 6B 2Journal 62Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
KRONE: Hierarchical and Modular Log Anomaly Detection.
CoRR
Lei Ma, Jinyang Liu, Tieying Zhang, Peter M. VanNostrand, Dennis M. Hofmann, Lei Cao, Elke A. Rundensteiner, Jianjun Chen
2026 J jnl
Ken: An Execution Engine for Unstructured Database Systems.
Proc. VLDB Endow.
Ferdinand Kossmann, Ziniu Wu, Alex Turk, Nesime Tatbul, Lei Cao, Samuel Madden
2026 J jnl
ST-Imputer: Multivariate dependency-aware diffusion network with physics guidance for spatiotemporal imputation.
Inf. Fusion
Xingyu Zhao, Jianpeng Qi, Bin Lu, Lei Zhou, Lei Cao, Junyu Dong, Yanwei Yu
2025 J jnl
Agree to Disagree: Robust Anomaly Detection with Noisy Labels.
Proc. ACM Manag. Data
Dennis M. Hofmann, Peter M. VanNostrand, Lei Ma, Huayi Zhang, Joshua DeOliveira, Lei Cao, Elke A. Rundensteiner
2025 J jnl
AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework.
Proc. VLDB Endow.
Meihao Fan, Ju Fan, Nan Tang, Lei Cao, Guoliang Li, Xiaoyong Du
2025 A* conf
DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting.
IJCAI
Han Yan, Dongliang Chen, Guiyuan Jiang, Bin Wang, Lei Cao, Junyu Dong, Yanwei Yu
2025 J jnl
DocDB: A Database for Unstructured Document Analysis.
Proc. VLDB Endow.
Zequn Li, Yuanhao Zhong, Chengliang Chai, Zhaoze Sun, Yuhao Deng, Ye Yuan, Guoren Wang, Lei Cao
2025 — conf
Doctopus: A System for Budget-aware Structural Data Extraction from Unstructured Documents.
SIGMOD Conference Companion
Yuanhao Zhong, Yuhao Deng, Chengliang Chai, Ruixin Gu, Ye Yuan, Guoren Wang, Lei Cao
2025 J jnl
Doctopus: Budget-aware Structural Table Extraction from Unstructured Documents.
Proc. VLDB Endow.
Chengliang Chai, Jiajun Li, Yuhao Deng, Yuanhao Zhong, Ye Yuan, Guoren Wang, Lei Cao
2025 J jnl
Efficiently Counting Four-Node Motifs in Large-Scale Temporal Graphs.
VLDB J.
Zhihao Zhang, Jianpeng Qi, Lei Cao, Junyu Dong, Yanwei Yu
2025 A* conf
Federated Data Analytics with Differentially Private Density Estimation Model.
ICDE
Jiayi Wang, Lei Cao, Chengliang Chai, Guoliang Li
2025 — conf
First Workshop on Novel Optimizations for Visionary AI Systems (NOVAS).
SIGMOD Conference Companion
Gerardo Vitagliano, Chunwei Liu, Lei Cao, Huan Sun, Paolo Papotti
2025 J jnl
HARMONY: A Scalable Distributed Vector Database for High-Throughput Approximate Nearest Neighbor Search.
CoRR
Qian Xu, Feng Zhang, Chengxi Li, Lei Cao, Zheng Chen, Jidong Zhai, Xiaoyong Du
2025 J jnl
HARMONY: A Scalable Distributed Vector Database for High-Throughput Approximate Nearest Neighbor Search.
Proc. ACM Manag. Data
Qian Xu, Feng Zhang, Chengxi Li, Lei Cao, Zheng Chen, Jidong Zhai, Xiaoyong Du
2025 J jnl
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization.
CoRR
Kuan Zhang, Chengliang Chai, Jingzhe Xu, Chi Zhang, Ye Yuan, Guoren Wang, Lei Cao
2025 A* conf
Harnessing Diversity for Important Data Selection in Pretraining Large Language Models.
ICLR
Chi Zhang, Huaping Zhong, Kuan Zhang, Chengliang Chai, Rui Wang, Xinlin Zhuang, Tianyi Bai, Jiantao Qiu, Lei Cao, Ju Fan, Ye Yuan, Guoren Wang, Conghui He
2025 J jnl
KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes.
CoRR
Eugenie Lai, Gerardo Vitagliano, Ziyu Zhang, Sivaprasad Sudhir, Om Chabra, Anna Zeng, Anton A. Zabreyko, Chenning Li, Ferdi Kossmann, Jialin Ding, Jun Chen, Markos Markakis, Matthew Russo, Weiyang Wang, Ziniu Wu, Michael J. Cafarella, Lei Cao, Samuel Madden, Tim Kraska
2025 J jnl
Not All Documents Are What You Need for Extracting Instruction Tuning Data.
CoRR
Chi Zhang, Huaping Zhong, Hongtao Li, Chengliang Chai, Jiawei Hong, Yuhao Deng, Jiacheng Wang, Tian Tan, Yizhou Yan, Jiantao Qiu, Ye Yuan, Guoren Wang, Conghui He, Lei Cao
2025 J jnl
Not All Instances Are Equally Valuable: Towards Influence-Weighted Dataset Distillation.
CoRR
Qiyan Deng, Changqian Zheng, Lianpeng Qiao, Yuping Wang, Chengliang Chai, Lei Cao
2025 — conf
OIE: An Interpretable System for Outlier Explanation and Summarization.
SIGMOD Conference Companion
Jingzhe Xu, Yuhao Deng, Chengliang Chai, Zequn Li, Yuping Wang, Lei Cao
2025 A conf
Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing.
CIDR
Chunwei Liu, Matthew Russo, Michael J. Cafarella, Lei Cao, Peter Baile Chen, Zui Chen, Michael J. Franklin, Tim Kraska, Samuel Madden, Rana Shahout, Gerardo Vitagliano
2025 J jnl
QUEST: Query Optimization in Unstructured Document Analysis.
CoRR
Zhaoze Sun, Qiyan Deng, Chengliang Chai, Kaisen Jin, Xinyu Guo, Han Han, Ye Yuan, Guoren Wang, Lei Cao
2025 J jnl
QUEST: Query Optimization in Unstructured Document Analysis.
Proc. VLDB Endow.
Zhaoze Sun, Chengliang Chai, Qiyan Deng, Kaisen Jin, Xinyu Guo, Han Han, Ye Yuan, Guoren Wang, Lei Cao
2025 A* conf
Self-Supervised Trajectory Representation Learning with Multi-Scale Spatio-Temporal Feature Exploration.
ICDE
Hong Xia, Xiao Zhang, Yuan Cao, Lei Cao, Yanwei Yu, Junyu Dong
2025 J jnl
Two Birds with One Stone: Efficient Deep Learning over Mislabeled Data through Subset Selection.
Proc. ACM Manag. Data
Yuhao Deng, Chengliang Chai, Kaisen Jin, Linan Zheng, Lei Cao, Ye Yuan, Guoren Wang
2025 A* conf
UMGAD: Unsupervised Multiplex Graph Anomaly Detection.
ICDE
Xiang Li, Jianpeng Qi, Zhongying Zhao, Guanjie Zheng, Lei Cao, Junyu Dong, Yanwei Yu
2025 J jnl
Unstructured Data Analysis using LLMs: A Comprehensive Benchmark.
CoRR
Qiyan Deng, Jianhui Li, Chengliang Chai, Jinqi Liu, Junzhi She, Kaisen Jin, Zhaoze Sun, Yuhao Deng, Jia Yuan, Ye Yuan, Guoren Wang, Lei Cao
2024 J jnl
A Declarative System for Optimizing AI Workloads.
CoRR
Chunwei Liu, Matthew Russo, Michael J. Cafarella, Lei Cao, Peter Baile Chen, Zui Chen, Michael J. Franklin, Tim Kraska, Samuel Madden, Gerardo Vitagliano
2024 J jnl
AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework.
CoRR
Meihao Fan, Ju Fan, Nan Tang, Lei Cao, Guoliang Li, Xiaoyong Du
2024 J jnl
CascadeServe: Unlocking Model Cascades for Inference Serving.
CoRR
Ferdi Kossmann, Ziniu Wu, Alex Turk, Nesime Tatbul, Lei Cao, Samuel Madden
2024 J jnl
Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL.
Proc. VLDB Endow.
Ju Fan, Zihui Gu, Songyue Zhang, Yuxin Zhang, Zui Chen, Lei Cao, Guoliang Li, Samuel Madden, Xiaoyong Du, Nan Tang
2024 J jnl
Harnessing Diversity for Important Data Selection in Pretraining Large Language Models.
CoRR
Chi Zhang, Huaping Zhong, Kuan Zhang, Chengliang Chai, Rui Wang, Xinlin Zhuang, Tianyi Bai, Jiantao Qiu, Lei Cao, Ye Yuan, Guoren Wang, Conghui He
2024 — conf
IDE: A System for Iterative Mislabel Detection.
SIGMOD Conference Companion
Yuhao Deng, Qiyan Deng, Chengliang Chai, Lei Cao, Nan Tang, Ju Fan, Jiayi Wang, Ye Yuan, Guoren Wang
2024 J jnl
LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes.
Proc. VLDB Endow.
Yuhao Deng, Chengliang Chai, Lei Cao, Qin Yuan, Siyuan Chen, Yanrui Yu, Zhaoze Sun, Junyi Wang, Jiajun Li, Ziqi Cao, Kaisen Jin, Chi Zhang, Yuqing Jiang, Yuanfang Zhang, Yuping Wang, Ye Yuan, Guoren Wang, Nan Tang
2024 J jnl
LakeCompass: An End-to-End System for Table Maintenance, Search and Analysis in Data Lakes.
Proc. VLDB Endow.
Chengliang Chai, Yuhao Deng, Yutong Zhan, Ziqi Cao, Yuanfang Zhang, Lei Cao, Yu-Ping Wang, Zhiwei Zhang, Ye Yuan, Guoren Wang, Nan Tang
2024 J jnl
MetaStore: Analyzing Deep Learning Meta-Data at Scale.
Proc. VLDB Endow.
Huayi Zhang, Binwei Yan, Lei Cao, Samuel Madden, Elke A. Rundensteiner
2024 J jnl
MisDetect: Iterative Mislabel Detection using Early Loss.
Proc. VLDB Endow.
Yuhao Deng, Chengliang Chai, Lei Cao, Nan Tang, Jiayi Wang, Ju Fan, Ye Yuan, Guoren Wang
2024 A conf
MoTTo: Scalable Motif Counting with Time-aware Topology Constraint for Large-scale Temporal Graphs.
CIKM
Jiantao Li, Jianpeng Qi, Yueling Huang, Lei Cao, Yanwei Yu, Junyu Dong
2024 J jnl
Outlier Summarization via Human Interpretable Rules.
Proc. VLDB Endow.
Yuhao Deng, Yu Wang, Lei Cao, Lianpeng Qiao, Yuping Wang, Xu Jingzhe, Yizhou Yan, Samuel Madden
2024 J jnl
Pluto: Sample Selection for Robust Anomaly Detection on Polluted Log Data.
Proc. ACM Manag. Data
Lei Ma, Lei Cao, Peter M. VanNostrand, Dennis M. Hofmann, Yao Su, Elke A. Rundensteiner
2024 J jnl
RITA: Group Attention is All You Need for Timeseries Analytics.
Proc. ACM Manag. Data
Jiaming Liang, Lei Cao, Samuel Madden, Zack Ives, Guoliang Li
2024 J jnl
Symphony: Towards Trustworthy Question Answering and Verification using RAG over Multimodal Data Lakes.
IEEE Data Eng. Bull.
Nan Tang, Chenyu Yang, Zhengxuan Zhang, Yuyu Luo, Ju Fan, Lei Cao, Sam Madden, Alon Y. Halevy
2024 J jnl
UMGAD: Unsupervised Multiplex Graph Anomaly Detection.
CoRR
Xiang Li, Jianpeng Qi, Zhongying Zhao, Guanjie Zheng, Lei Cao, Junyu Dong, Yanwei Yu
2024 A conf
VerifAI: Verified Generative AI.
CIDR
Nan Tang, Chenyu Yang, Ju Fan, Lei Cao, Yuyu Luo, Alon Y. Halevy
2023 J jnl
AutoOD: Automatic Outlier Detection.
Proc. ACM Manag. Data
Lei Cao, Yizhou Yan, Yu Wang, Samuel Madden, Elke A. Rundensteiner
2023 J jnl
Extract-Transform-Load for Video Streams.
CoRR
Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Samuel Madden
2023 J jnl
Extract-Transform-Load for Video Streams.
Proc. VLDB Endow.
Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Sam Madden
2023 J jnl
Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning.
Proc. ACM Manag. Data
Zihui Gu, Ju Fan, Nan Tang, Lei Cao, Bowen Jia, Sam Madden, Xiaoyong Du
2023 J jnl
Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation.
CoRR
Zihui Gu, Ju Fan, Nan Tang, Songyue Zhang, Yuxin Zhang, Zui Chen, Lei Cao, Guoliang Li, Sam Madden, Xiaoyong Du
2023 J jnl
Interpretable Outlier Summarization.
CoRR
Yu Wang, Lei Cao, Yizhou Yan, Samuel Madden
2023 J jnl
Lingua Manga: A Generic Large Language Model Centric System for Data Curation.
CoRR
Zui Chen, Lei Cao, Sam Madden
2023 J jnl
Lingua Manga: A Generic Large Language Model Centric System for Data Curation.
Proc. VLDB Endow.
Zui Chen, Lei Cao, Sam Madden
2023 J jnl
RITA: Group Attention is All You Need for Timeseries Analytics.
CoRR
Jiaming Liang, Lei Cao, Samuel Madden, Zachary G. Ives, Guoliang Li
2023 J jnl
RoTaR: Efficient Row-Based Table Representation Learning via Teacher-Student Training.
CoRR
Zui Chen, Lei Cao, Sam Madden
2023 J jnl
SEED: Simple, Efficient, and Effective Data Management via Large Language Models.
CoRR
Zui Chen, Lei Cao, Sam Madden, Ju Fan, Nan Tang, Zihui Gu, Zeyuan Shang, Chunwei Liu, Michael J. Cafarella, Tim Kraska
2023 A conf
Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes.
CIDR
Zui Chen, Zihui Gu, Lei Cao, Ju Fan, Samuel Madden, Nan Tang
2023 J jnl
VerifAI: Verified Generative AI.
CoRR
Nan Tang, Chenyu Yang, Ju Fan, Lei Cao
2022 J jnl
A Demonstration of AutoOD: A Self-tuning Anomaly Detection System.
Proc. VLDB Endow.
Dennis M. Hofmann, Peter M. VanNostrand, Huayi Zhang, Yizhou Yan, Lei Cao, Samuel Madden, Elke A. Rundensteiner
2022 J jnl
Online Discovery of Evolving Groups over Massive-Scale Trajectory Streams.
CoRR
Yanwei Yu, Ruoshan Lan, Lei Cao, Peng Song, Yingjie Wang
2022 A* conf
Scalable Motif Counting for Large-scale Temporal Graphs.
ICDE
Zhongqiang Gao, Chuanqi Cheng, Yanwei Yu, Lei Cao, Chao Huang, Junyu Dong
2022 J jnl
Scalable Motif Counting for Large-scale Temporal Graphs.
CoRR
Zhongqiang Gao, Chuanqi Cheng, Yanwei Yu, Lei Cao, Chao Huang, Junyu Dong
2021 — conf
AI Meets Database: AI4DB and DB4AI.
SIGMOD Conference
Guoliang Li, Xuanhe Zhou, Lei Cao
2021 J jnl
ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee.
Proc. VLDB Endow.
Lei Cao, Dongqing Xiao, Yizhou Yan, Samuel Madden, Guoliang Li
2021 A* conf
ELITE: Robust Deep Anomaly Detection with Meta Gradient.
KDD
Huayi Zhang, Lei Cao, Peter M. VanNostrand, Samuel Madden, Elke A. Rundensteiner
2021 J jnl
Epoch-based Commit and Replication in Distributed OLTP Databases.
Proc. VLDB Endow.
Yi Lu, Xiangyao Yu, Lei Cao, Samuel Madden
2021 J jnl
LANCET: Labeling Complex Data at Scale.
Proc. VLDB Endow.
Huayi Zhang, Lei Cao, Samuel Madden, Elke A. Rundensteiner
2021 — conf
Machine Learning for Databases.
AIMLSystems
Guoliang Li, Xuanhe Zhou, Lei Cao
2021 J jnl
Machine Learning for Databases.
Proc. VLDB Endow.
Guoliang Li, Xuanhe Zhou, Lei Cao
2020 J jnl
Aria: A Fast and Practical Deterministic OLTP Database.
Proc. VLDB Endow.
Yi Lu, Xiangyao Yu, Lei Cao, Samuel Madden
2020 — conf
Continuously Adaptive Similarity Search.
SIGMOD Conference
Huayi Zhang, Lei Cao, Yizhou Yan, Samuel Madden, Elke A. Rundensteiner
2020 A conf
Dagger: A Data (not code) Debugger.
CIDR
El Kindi Rezig, Lei Cao, Giovanni Simonini, Maxime Schoemans, Samuel Madden, Nan Tang, Mourad Ouzzani, Michael Stonebraker
2020 J jnl
Find you if you drive: Inferring home locations for vehicles with surveillance camera data.
Knowl. Based Syst.
Kai Chen, Yanwei Yu, Peng Song, Xianfeng Tang, Lei Cao, Xiangrong Tong
2020 — conf
Human-in-the-loop Outlier Detection.
SIGMOD Conference
Chengliang Chai, Lei Cao, Guoliang Li, Jian Li, Yuyu Luo, Samuel Madden
2019 J jnl
Data Civilizer 2.0: A Holistic Framework for Data Preparation and Analytics.
Proc. VLDB Endow.
El Kindi Rezig, Lei Cao, Michael Stonebraker, Giovanni Simonini, Wenbo Tao, Samuel Madden, Mourad Ouzzani, Nan Tang, Ahmed K. Elmagarmid
2019 J jnl
Efficient Discovery of Sequence Outlier Patterns.
Proc. VLDB Endow.
Lei Cao, Yizhou Yan, Samuel Madden, Elke A. Rundensteiner, Mathan Gopalsamy
2019 B conf
Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams.
EDBT
Xiao Qin, Lei Cao, Elke A. Rundensteiner, Samuel Madden
2019 J jnl
Smile: A System to Support Machine Learning on EEG Data at Scale.
Proc. VLDB Endow.
Lei Cao, Wenbo Tao, Sungtae An, Jing Jin, Yizhou Yan, Xiaoyu Liu, Wendong Ge, Adam Sah, Leilani Battle, Jimeng Sun, Remco Chang, M. Brandon Westover, Samuel Madden, Michael Stonebraker
2018 J jnl
SWIFT: Mining Representative Patterns from Large Event Streams.
Proc. VLDB Endow.
Yizhou Yan, Lei Cao, Samuel Madden, Elke A. Rundensteiner
2017 B conf
Discovering Evolving Moving Object Groups from Massive-Scale Trajectory Streams.
MDM
Ruoshan Lan, Yanwei Yu, Lei Cao, Peng Song, Yingjie Wang
2017 A* conf
Distributed Local Outlier Detection in Big Data.
KDD
Yizhou Yan, Lei Cao, Caitlin Kuhlman, Elke A. Rundensteiner
2017 — conf
Distributed Top-N local outlier detection in big data.
IEEE BigData
Yizhou Yan, Lei Cao, Elke A. Rundensteiner
2017 J jnl
How to foster innovation: A data-driven approach to measuring economic competitiveness.
IBM J. Res. Dev.
Caitlin Kuhlman, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Aurélie C. Lozano, Lei Cao, C. Reddy, Aleksandra Mojsilovic, Kush R. Varshney
2017 A conf
Interactive Analytics System for Exploring Outliers.
CIKM
Mingrui Wei, Lei Cao, Chris Cormier, Hui Zheng, Elke A. Rundensteiner
2017 A* conf
MARAS: Signaling Multi-Drug Adverse Reactions.
KDD
Xiao Qin, Tabassum Kakar, Susmitha Wunnava, Elke A. Rundensteiner, Lei Cao
2017 A* conf
Multi-Tactic Distance-Based Outlier Detection.
ICDE
Lei Cao, Yizhou Yan, Caitlin Kuhlman, Qingyang Wang, Elke A. Rundensteiner, Mohamed Y. Eltabakh
2017 J jnl
Outlier Detection over Massive-Scale Trajectory Streams.
ACM Trans. Database Syst.
Yanwei Yu, Lei Cao, Elke A. Rundensteiner, Qin Wang
2017 — conf
Pivot-Based Distributed K-Nearest Neighbor Mining.
ECML/PKDD (2)
Caitlin Kuhlman, Yizhou Yan, Lei Cao, Elke A. Rundensteiner
2017 A* conf
Scalable Top-n Local Outlier Detection.
KDD
Yizhou Yan, Lei Cao, Elke A. Rundensteiner
2016 — conf
Multi-query outlier detection over data streams: poster.
DEBS
Lei Cao, Jiayuan Wang, Elke A. Rundensteiner
2016 — conf
Sharing-Aware Outlier Analytics over High-Volume Data Streams.
SIGMOD Conference
Lei Cao, Jiayuan Wang, Elke A. Rundensteiner
2015 J jnl
Exploiting Sharing Opportunities for Real-time Complex Event Analytics.
IEEE Data Eng. Bull.
Elke A. Rundensteiner, Olga Poppe, Chuan Lei, Medhabi Ray, Lei Cao, Yingmei Qi, Mo Liu, Di Wang
2015 A* conf
Online Outlier Exploration Over Large Datasets.
KDD
Lei Cao, Mingrui Wei, Di Yang, Elke A. Rundensteiner
2014 — conf
Complex event analytics: online aggregation of stream sequence patterns.
SIGMOD Conference
Yingmei Qi, Lei Cao, Medhabi Ray, Elke A. Rundensteiner
2014 A* conf
Detecting moving object outliers in massive-scale trajectory streams.
KDD
Yanwei Yu, Lei Cao, Elke A. Rundensteiner, Qin Wang
2014 J jnl
Interactive Outlier Exploration in Big Data Streams.
Proc. VLDB Endow.
Lei Cao, Qingyang Wang, Elke A. Rundensteiner
2014 A* conf
Scalable distance-based outlier detection over high-volume data streams.
ICDE
Lei Cao, Di Yang, Qingyang Wang, Yanwei Yu, Jiayuan Wang, Elke A. Rundensteiner
2013 J jnl
High Performance Stream Query Processing With Correlation-Aware Partitioning.
Proc. VLDB Endow.
Lei Cao, Elke A. Rundensteiner