High Performance Stream Query Processing With Correlation-Aware Partitioning. - Lei Cao 004; Elke A. Rundensteiner (Proc. VLDB Endow., 2013)

Scalable distance-based outlier detection over high-volume data streams. - Lei Cao 004; Di Yang 003; Qingyang Wang 004; Yanwei Yu; Jiayuan Wang; Elke A. Rundensteiner (ICDE, 2014)

Detecting moving object outliers in massive-scale trajectory streams. - Yanwei Yu; Lei Cao 004; Elke A. Rundensteiner; Qin Wang 004 (KDD, 2014)

Complex event analytics: online aggregation of stream sequence patterns. - Yingmei Qi; Lei Cao 004; Medhabi Ray; Elke A. Rundensteiner (SIGMOD Conference, 2014)

Interactive Outlier Exploration in Big Data Streams. - Lei Cao 004; Qingyang Wang 004; Elke A. Rundensteiner (Proc. VLDB Endow., 2014)

Online Outlier Exploration Over Large Datasets. - Lei Cao 004; Mingrui Wei; Di Yang 003; Elke A. Rundensteiner (KDD, 2015)

Exploiting Sharing Opportunities for Real-time Complex Event Analytics. - Elke A. Rundensteiner; Olga Poppe; Chuan Lei; Medhabi Ray; Lei Cao 004; Yingmei Qi; Mo Liu 001; Di Wang 031 (IEEE Data Eng. Bull., 2015)

Multi-query outlier detection over data streams: poster. - Lei Cao 004; Jiayuan Wang; Elke A. Rundensteiner (DEBS, 2016)

Sharing-Aware Outlier Analytics over High-Volume Data Streams. - Lei Cao 004; Jiayuan Wang; Elke A. Rundensteiner (SIGMOD Conference, 2016)

Distributed Top-N local outlier detection in big data. - Yizhou Yan; Lei Cao 004; Elke A. Rundensteiner (IEEE BigData, 2017)

Interactive Analytics System for Exploring Outliers. - Mingrui Wei; Lei Cao 004; Chris Cormier; Hui Zheng; Elke A. Rundensteiner (CIKM, 2017)

Multi-Tactic Distance-Based Outlier Detection. - Lei Cao 004; Yizhou Yan; Caitlin Kuhlman; Qingyang Wang 004; Elke A. Rundensteiner; Mohamed Y. Eltabakh (ICDE, 2017)

MARAS: Signaling Multi-Drug Adverse Reactions. - Xiao Qin 003; Tabassum Kakar; Susmitha Wunnava; Elke A. Rundensteiner; Lei Cao 004 (KDD, 2017)

Distributed Local Outlier Detection in Big Data. - Yizhou Yan; Lei Cao 004; Caitlin Kuhlman; Elke A. Rundensteiner (KDD, 2017)

Scalable Top-n Local Outlier Detection. - Yizhou Yan; Lei Cao 004; Elke A. Rundensteiner (KDD, 2017)

Discovering Evolving Moving Object Groups from Massive-Scale Trajectory Streams. - Ruoshan Lan; Yanwei Yu; Lei Cao 004; Peng Song 002; Yingjie Wang (MDM, 2017)

Pivot-Based Distributed K-Nearest Neighbor Mining. - Caitlin Kuhlman; Yizhou Yan; Lei Cao 004; Elke A. Rundensteiner (ECML/PKDD (2), 2017)

How to foster innovation: A data-driven approach to measuring economic competitiveness. - Caitlin Kuhlman; Karthikeyan Natesan Ramamurthy; Prasanna Sattigeri; Aurélie C. Lozano; Lei Cao 004; C. Reddy; Aleksandra Mojsilovic; Kush R. Varshney (IBM J. Res. Dev., 2017)

Outlier Detection over Massive-Scale Trajectory Streams. - Yanwei Yu; Lei Cao 004; Elke A. Rundensteiner; Qin Wang 004 (ACM Trans. Database Syst., 2017)

SWIFT: Mining Representative Patterns from Large Event Streams. - Yizhou Yan; Lei Cao 004; Samuel Madden 001; Elke A. Rundensteiner (Proc. VLDB Endow., 2018)

Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams. - Xiao Qin 003; Lei Cao 004; Elke A. Rundensteiner; Samuel Madden 001 (EDBT, 2019)

Smile: A System to Support Machine Learning on EEG Data at Scale. - Lei Cao 004; Wenbo Tao; Sungtae An; Jing Jin 004; Yizhou Yan; Xiaoyu Liu; Wendong Ge; Adam Sah; Leilani Battle; Jimeng Sun 001; Remco Chang; M. Brandon Westover; et al. (Proc. VLDB Endow., 2019)

Efficient Discovery of Sequence Outlier Patterns. - Lei Cao 004; Yizhou Yan; Samuel Madden 001; Elke A. Rundensteiner; Mathan Gopalsamy (Proc. VLDB Endow., 2019)

Data Civilizer 2.0: A Holistic Framework for Data Preparation and Analytics. - El Kindi Rezig; Lei Cao 004; Michael Stonebraker; Giovanni Simonini; Wenbo Tao; Samuel Madden 001; Mourad Ouzzani; Nan Tang 001; Ahmed K. Elmagarmid (Proc. VLDB Endow., 2019)

Dagger: A Data (not code) Debugger. - El Kindi Rezig; Lei Cao 004; Giovanni Simonini; Maxime Schoemans; Samuel Madden 001; Nan Tang 001; Mourad Ouzzani; Michael Stonebraker (CIDR, 2020)

Human-in-the-loop Outlier Detection. - Chengliang Chai; Lei Cao 004; Guoliang Li 001; Jian Li 015; Yuyu Luo; Samuel Madden 001 (SIGMOD Conference, 2020)

Continuously Adaptive Similarity Search. - Huayi Zhang; Lei Cao 004; Yizhou Yan; Samuel Madden 001; Elke A. Rundensteiner (SIGMOD Conference, 2020)

Find you if you drive: Inferring home locations for vehicles with surveillance camera data. - Kai Chen; Yanwei Yu; Peng Song 002; Xianfeng Tang; Lei Cao 004; Xiangrong Tong (Knowl. Based Syst., 2020)

Aria: A Fast and Practical Deterministic OLTP Database. - Yi Lu 010; Xiangyao Yu; Lei Cao 004; Samuel Madden 001 (Proc. VLDB Endow., 2020)

ELITE: Robust Deep Anomaly Detection with Meta Gradient. - Huayi Zhang; Lei Cao 004; Peter M. VanNostrand; Samuel Madden 001; Elke A. Rundensteiner (KDD, 2021)

AI Meets Database: AI4DB and DB4AI. - Guoliang Li 001; Xuanhe Zhou; Lei Cao 004 (SIGMOD Conference, 2021)

Machine Learning for Databases. - Guoliang Li 001; Xuanhe Zhou; Lei Cao 004 (Proc. VLDB Endow., 2021)

ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee. - Lei Cao 004; Dongqing Xiao; Yizhou Yan; Samuel Madden 001; Guoliang Li 001 (Proc. VLDB Endow., 2021)

Epoch-based Commit and Replication in Distributed OLTP Databases. - Yi Lu 010; Xiangyao Yu; Lei Cao 004; Samuel Madden 001 (Proc. VLDB Endow., 2021)

LANCET: Labeling Complex Data at Scale. - Huayi Zhang; Lei Cao 004; Samuel Madden 001; Elke A. Rundensteiner (Proc. VLDB Endow., 2021)

Scalable Motif Counting for Large-scale Temporal Graphs. - Zhongqiang Gao; Chuanqi Cheng; Yanwei Yu; Lei Cao 004; Chao Huang 001; Junyu Dong (ICDE, 2022)

Online Discovery of Evolving Groups over Massive-Scale Trajectory Streams. - Yanwei Yu; Ruoshan Lan; Lei Cao 004; Peng Song 002; Yingjie Wang (CoRR, 2022)

A Demonstration of AutoOD: A Self-tuning Anomaly Detection System. - Dennis M. Hofmann; Peter M. VanNostrand; Huayi Zhang; Yizhou Yan; Lei Cao 004; Samuel Madden 001; Elke A. Rundensteiner (Proc. VLDB Endow., 2022)

Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes. - Zui Chen; Zihui Gu; Lei Cao 004; Ju Fan; Samuel Madden 001; Nan Tang 001 (CIDR, 2023)

Interpretable Outlier Summarization. - Yu Wang 170; Lei Cao 004; Yizhou Yan; Samuel Madden 001 (CoRR, 2023)

Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation. - Zihui Gu; Ju Fan; Nan Tang 001; Songyue Zhang; Yuxin Zhang; Zui Chen; Lei Cao 004; Guoliang Li 001; Sam Madden 001; Xiaoyong Du 001 (CoRR, 2023)

RoTaR: Efficient Row-Based Table Representation Learning via Teacher-Student Training. - Zui Chen; Lei Cao 004; Sam Madden 001 (CoRR, 2023)

VerifAI: Verified Generative AI. - Nan Tang 001; Chenyu Yang; Ju Fan; Lei Cao 004 (CoRR, 2023)

SEED: Simple, Efficient, and Effective Data Management via Large Language Models. - Zui Chen; Lei Cao 004; Sam Madden 001; Ju Fan; Nan Tang 001; Zihui Gu; Zeyuan Shang; Chunwei Liu; Michael J. Cafarella; Tim Kraska (CoRR, 2023)

AutoOD: Automatic Outlier Detection. - Lei Cao 004; Yizhou Yan; Yu Wang 170; Samuel Madden 001; Elke A. Rundensteiner (Proc. ACM Manag. Data, 2023)

Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning. - Zihui Gu; Ju Fan; Nan Tang 001; Lei Cao 004; Bowen Jia; Sam Madden 001; Xiaoyong Du 001 (Proc. ACM Manag. Data, 2023)

Lingua Manga: A Generic Large Language Model Centric System for Data Curation. - Zui Chen; Lei Cao 004; Sam Madden 001 (Proc. VLDB Endow., 2023)

Extract-Transform-Load for Video Streams. - Ferdinand Kossmann; Ziniu Wu; Eugenie Lai; Nesime Tatbul; Lei Cao 004; Tim Kraska; Sam Madden 001 (Proc. VLDB Endow., 2023)

VerifAI: Verified Generative AI. - Nan Tang 001; Chenyu Yang; Ju Fan; Lei Cao 004; Yuyu Luo; Alon Y. Halevy (CIDR, 2024)

MoTTo: Scalable Motif Counting with Time-aware Topology Constraint for Large-scale Temporal Graphs. - Jiantao Li; Jianpeng Qi; Yueling Huang; Lei Cao 004; Yanwei Yu; Junyu Dong (CIKM, 2024)

IDE: A System for Iterative Mislabel Detection. - Yuhao Deng; Deng Qiyan; Chengliang Chai; Lei Cao 004; Nan Tang 001; Ju Fan; Jiayi Wang 002; Ye Yuan 001; Guoren Wang (SIGMOD Conference Companion, 2024)

A Declarative System for Optimizing AI Workloads. - Chunwei Liu; Matthew Russo; Michael J. Cafarella; Lei Cao 004; Peter Baile Chen; Zui Chen; Michael J. Franklin; Tim Kraska; Samuel Madden 001; Gerardo Vitagliano (CoRR, 2024)

CascadeServe: Unlocking Model Cascades for Inference Serving. - Ferdi Kossmann; Ziniu Wu; Alex Turk; Nesime Tatbul; Lei Cao 004; Samuel Madden 001 (CoRR, 2024)

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models. - Chi Zhang; Huaping Zhong; Kuan Zhang; Chengliang Chai; Rui Wang 119; Xinlin Zhuang; Tianyi Bai; Jiantao Qiu; Lei Cao 004; Ye Yuan 001; Guoren Wang; Conghui He (CoRR, 2024)

AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework. - Meihao Fan; Ju Fan; Nan Tang 001; Lei Cao 004; Guoliang Li 001; Xiaoyong Du 001 (CoRR, 2024)

Symphony: Towards Trustworthy Question Answering and Verification using RAG over Multimodal Data Lakes. - Nan Tang 001; Chenyu Yang; Zhengxuan Zhang; Yuyu Luo; Ju Fan; Lei Cao 004; Sam Madden 001; Alon Y. Halevy (IEEE Data Eng. Bull., 2024)

RITA: Group Attention is All You Need for Timeseries Analytics. - Jiaming Liang; Lei Cao 004; Samuel Madden 001; Zack Ives; Guoliang Li 001 (Proc. ACM Manag. Data, 2024)

MisDetect: Iterative Mislabel Detection using Early Loss. - Yuhao Deng; Chengliang Chai; Lei Cao 004; Nan Tang 001; Jiayi Wang 002; Ju Fan; Ye Yuan 001; Guoren Wang (Proc. VLDB Endow., 2024)

MetaStore: Analyzing Deep Learning Meta-Data at Scale. - Huayi Zhang; Binwei Yan; Lei Cao 004; Samuel Madden 001; Elke A. Rundensteiner (Proc. VLDB Endow., 2024)

Outlier Summarization via Human Interpretable Rules. - Yuhao Deng; Yu Wang 170; Lei Cao 004; Lianpeng Qiao; Yuping Wang; Xu Jingzhe; Yizhou Yan; Samuel Madden 001 (Proc. VLDB Endow., 2024)

LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes. - Yuhao Deng; Chengliang Chai; Lei Cao 004; Qin Yuan; Siyuan Chen; Yanrui Yu; Zhaoze Sun; Junyi Wang; Jiajun Li; Ziqi Cao; Kaisen Jin; Chi Zhang; et al. (Proc. VLDB Endow., 2024)

Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL. - Ju Fan; Zihui Gu; Songyue Zhang; Yuxin Zhang; Zui Chen; Lei Cao 004; Guoliang Li 001; Samuel Madden 001; Xiaoyong Du 001; Nan Tang 001 (Proc. VLDB Endow., 2024)

LakeCompass: An End-to-End System for Table Maintenance, Search and Analysis in Data Lakes. - Chengliang Chai; Yuhao Deng; Yutong Zhan; Ziqi Cao; Yuanfang Zhang; Lei Cao 004; Yu-Ping Wang; Zhiwei Zhang; Ye Yuan 001; Guoren Wang; Nan Tang 001 (Proc. VLDB Endow., 2024)

Pluto: Sample Selection for Robust Anomaly Detection on Polluted Log Data. - Lei Ma; Lei Cao 004; Peter M. VanNostrand; Dennis M. Hofmann; Yao Su 003; Elke A. Rundensteiner (Proc. ACM Manag. Data, 2024)

UMGAD: Unsupervised Multiplex Graph Anomaly Detection. - Xiang Li 111; Jianpeng Qi; Zhongying Zhao 001; Guanjie Zheng; Lei Cao 004; Junyu Dong; Yanwei Yu (ICDE, 2025)

Federated Data Analytics with Differentially Private Density Estimation Model. - Jiayi Wang 002; Lei Cao 004; Chengliang Chai; Guoliang Li 001 (ICDE, 2025)

Self-Supervised Trajectory Representation Learning with Multi-Scale Spatio-Temporal Feature Exploration. - Hong Xia; Xiao Zhang; Yuan Cao 005; Lei Cao 004; Yanwei Yu; Junyu Dong (ICDE, 2025)

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models. - Chi Zhang; Huaping Zhong; Kuan Zhang; Chengliang Chai; Rui Wang 119; Xinlin Zhuang; Tianyi Bai; Jiantao Qiu; Lei Cao 004; Ju Fan; Ye Yuan 001; Guoren Wang; et al. (ICLR, 2025)

First Workshop on Novel Optimizations for Visionary AI Systems (NOVAS). - Gerardo Vitagliano; Chunwei Liu; Lei Cao 004; Huan Sun 001; Paolo Papotti (SIGMOD Conference Companion, 2025)

OIE: An Interpretable System for Outlier Explanation and Summarization. - Jingzhe Xu; Yuhao Deng; Chengliang Chai; Zequn Li 007; Yuping Wang 001; Lei Cao 004 (SIGMOD Conference Companion, 2025)

Doctopus: A System for Budget-aware Structural Data Extraction from Unstructured Documents. - Yuanhao Zhong; Yuhao Deng; Chengliang Chai; Ruixin Gu; Ye Yuan 001; Guoren Wang; Lei Cao 004 (SIGMOD Conference Companion, 2025)

Agree to Disagree: Robust Anomaly Detection with Noisy Labels. - Dennis M. Hofmann; Peter M. VanNostrand; Lei Ma; Huayi Zhang; Joshua DeOliveira; Lei Cao 004; Elke A. Rundensteiner (Proc. ACM Manag. Data, 2025)

Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization. - Kuan Zhang; Chengliang Chai; Jingzhe Xu; Chi Zhang; Ye Yuan 001; Guoren Wang; Lei Cao 004 (CoRR, 2025)

Not All Documents Are What You Need for Extracting Instruction Tuning Data. - Chi Zhang; Huaping Zhong; Hongtao Li; Chengliang Chai; Jiawei Hong; Yuhao Deng; Jiacheng Wang; Tian Tan 025; Yizhou Yan; Jiantao Qiu; Ye Yuan 001; Guoren Wang; et al. (CoRR, 2025)

KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes. - Eugenie Lai; Gerardo Vitagliano; Ziyu Zhang 002; Sivaprasad Sudhir; Om Chabra; Anna Zeng; Anton A. Zabreyko; Chenning Li; Ferdi Kossmann; Jialin Ding 001; Jun Chen; Markos Markakis; et al. (CoRR, 2025)

HARMONY: A Scalable Distributed Vector Database for High-Throughput Approximate Nearest Neighbor Search. - Qian Xu; Feng Zhang 007; Chengxi Li 022; Lei Cao 004; Zheng Chen 001; Jidong Zhai; Xiaoyong Du 001 (CoRR, 2025)

Two Birds with One Stone: Efficient Deep Learning over Mislabeled Data through Subset Selection. - Yuhao Deng; Chengliang Chai; Kaisen Jin; Linan Zheng; Lei Cao 004; Ye Yuan 001; Guoren Wang (Proc. ACM Manag. Data, 2025)

QUEST: Query Optimization in Unstructured Document Analysis. - Zhaoze Sun; Deng Qiyan; Chengliang Chai; Kaisen Jin; Xinyu Guo; Han Han; Ye Yuan 001; Guoren Wang; Lei Cao 004 (CoRR, 2025)

Efficiently Counting Four-Node Motifs in Large-Scale Temporal Graphs. - Zhihao Zhang; Jianpeng Qi; Lei Cao 004; Junyu Dong; Yanwei Yu (VLDB J., 2025)