Esc: An Early-stopping Checker for Budget-aware Index Tuning
Xiaoying Wang, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the VLDB Endowment (VLDB 2025) | April 2025
Wentao Wu
Principal Researcher
Publications
Publications by Year
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Hybrid Cost Modeling for Reducing Query Performance Regression in Index Tuning
IEEE Transactions on Knowledge and Data Engineering | January 2025, Vol 37(1): pp. 379-391
FreewayML: An Adaptive and Stable Streaming Learning Framework for Dynamic Data Stream
Zheng Qin, Zheheng Liang, Lijie Xu, Wentao Wu, Mingchao Wu, Wuqiang Shen, Wei Wang
IEEE 39th International Conference on Data Engineering (ICDE 2025) | January 2025
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Budget-aware Query Tuning: An AutoML Perspective
Wentao Wu, Chi Wang
SIGMOD Record | October 2024, Vol 53(3): pp. 20-26
Wii: Dynamic Budget Reallocation In Index Tuning (Extended Version)
Xiaoying Wang, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | June 2024, Vol 2(3)
Wred: Workload Reduction for Scalable Index Tuning
Matteo Brucato, Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | March 2024, Vol 2(1)
Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
VLDB Journal | February 2024
Data Debugging with Shapley Importance over Machine Learning Pipelines
Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang
International Conference on Learning Representations (ICLR 2024) | January 2024
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ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges
SIGMOD Record | December 2023, Vol 52(4): pp. 19-30
How Good are Machine Learning Clouds? Benchmarking Two Snapshots over 5 Years
Jiawei Jiang, Yi Wei, Yu Liu, Wentao Wu, Chuang Hu, Zhigao Zheng, Ziyi Zhang, Yingxia Shao, Ce Zhang
VLDB Journal | December 2023
A Systematic Evaluation of Machine Learning on Serverless Infrastructure
Jiawei Jiang, Shaoduo Gan, Bo Du, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Sheng Wang, Ce Zhang
VLDB Journal | August 2023, Vol 33(2): pp. 425-449
Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise
Cedric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
IEEE 39th International Conference on Data Engineering (ICDE 2023) | April 2023
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DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | August 2022
Budget-aware Index Tuning with Reinforcement Learning (Extended Version)
Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek Narasayya, Surajit Chaudhuri, Phil Bernstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
ACM SIGMOD 2022 | June 2022
Factor Windows: Cost-based Query Rewriting for Optimizing Correlated Window Aggregates
Wentao Wu, Phil Bernstein, Alex Raizman, Christina Pavlopoulou
IEEE 38th International Conference on Data Engineering (ICDE 2022) | May 2022
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines
Fotis Psallidas, Yiwen Zhu, Bojan Karlaš, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
SIGMOD Record | March 2022
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OpenBox: A Generalized Black-box Optimization Service
Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huai Jun Jiang, Ming Chao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021) | August 2021
Hyperspace: The Indexing Subsystem of Azure Synapse
Rahul Potharaju, Terry Kim, Eunjin Song, Wentao Wu, Lev Novik, Apoorve Dave, Andrew Fogarty, Pouria Pirzadeh, Vidip Acharya, Gurleen Dhody, Jiying Li, Sinduja Ramanujam, Nicolas Bruno, Cesar Galindo-Legaria, Vivek Narasayya, Surajit Chaudhuri, Anil K. Nori, Tomas Talius, Raghu Ramakrishnan
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gurel, Xu Chu, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
Optimization of threshold functions over streams
Walter Cai, Phil Bernstein, Wentao Wu, Badrish Chandramouli
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
The Case for ML-Enhanced High-Dimensional Indexes
Rong Kang, Wentao Wu, Chen Wang, Ce Zhang, Jianmin Wang
AIDB@VLDB 2021 | July 2021
Towards Demystifying Serverless Machine Learning Training
Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang
ACM SIGMOD International Conference on Management of Data (SIGMOD 2021) | June 2021
Towards understanding end-to-end learning in the context of data: machine learning dancing over semirings & Codd’s table
Wentao Wu, Ce Zhang
DEEM@SIGMOD 2021 | June 2021
A Data Quality-Driven View of MLOps
Cedric Renggli, Luka Rimanic, Nezihe Merve Gurel, Bojan Karlas, Wentao Wu, Ce Zhang
IEEE Data Engineering Bulletin | March 2021, Vol 44(1): pp. 11-23
Magpie: Python at Speed and Scale using Cloud Backends
Alekh Jindal, Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas C. Müller, Wentao Wu, Hiren Patel
Conference on Innovative Data Systems Research (CIDR 2021) | February 2021
Ease.ML: A Lifecycle Management System for MLDev and MLOps
Leonel Aguilar, David Dao, Shaoduo Gan, Nezihe Merve Gurel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Rao, Johannes Rausch, Cedric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang
Conference on Innovative Data Systems Research (CIDR 2021) | January 2021
Model Averaging in Distributed Machine Learning: A Case Study with Apache Spark
Yunyan Guo, Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Bin Cui, Jianzhong Li
VLDB Journal | January 2021
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Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development
Cedric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2020) | July 2020
Helios: Hyperscale Indexing for the Cloud & Edge
Rahul Potharaju, Terry Kim, Wentao Wu, Vidip Acharya, Steve Suh, Andrew Fogarty, Apoorve Dave, Sinduja Ramanujam, Tomas Talius, Lev Novik, Raghu Ramakrishnan
Proceedings of the VLDB Endowment (VLDB 2020) | June 2020
Building Continuous Integration Services for Machine Learning
Bojan Karlas, Matteo Interlandi, Cedric Renggli, Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020) | June 2020
ColumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent
Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang
IEEE International Conference on Data Engineering (ICDE 2020) | April 2020
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AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization
Cedric Renggli, Frances Ann Hubis, Bojan Karlas, Kevin Schawinski, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2019) | May 2019
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment
Cedric Renggli, Bojan Karlaš, Bolin Ding, Feng Liu, Wentao Wu, Ce Zhang
SysML Conference (SysML 2019) | April 2019
MLlib*: Fast Training of GLMs using Spark MLlib
Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui
IEEE International Conference on Data Engineering (ICDE 2019) | April 2019
Serverless Event-Stream Processing over Virtual Actors
Phil Bernstein, Todd Porter, Rahul Potharaju, Shivaram Venkataraman, Wentao Wu
Conference on Innovative Data Systems Research (CIDR 2019) | January 2019
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Plan Stitch: Harnessing the Best of Many Plans
Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2018) | July 2018
MLBench: Benchmarking Machine Learning Services Against Human Experts
Yu Liu, Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2018) | May 2018
Ease.ml in Action: Towards Multi-tenant Declarative Learning Services
Bojan Karlas, Ji Liu, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2018) | May 2018
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads
Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2018) | February 2018
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How Good Are Machine Learning Clouds for Binary Classification with Good Features?
Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang
Proceedings of the 2017 Symposium on Cloud Computing (SoCC 2017) | September 2017
MLog: Towards Declarative In-Database Machine Learning
Bin Cui, Xupeng Li, Yiru Chen, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2017) | August 2017
An Overreaction to the Broken Machine Learning Abstraction: The ease.ml Vision
Ce Zhang, Wentao Wu, Tian Li
Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics (HILDA@SIGMOD 2017) | May 2017
Semantic Bootstrapping: A Theoretical Perspective
Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
33rd IEEE International Conference on Data Engineering (ICDE 2017) | April 2017
Towards Interactive Debugging of Rule-based Entity Matching
Fatemah Panahi, Wentao Wu, AnHai Doan, Jeffrey F. Naughton
Proceedings of the 20th International Conference on Extending Database Technology (EDBT 2017) | March 2017
Semantic Bootstrapping: A Theoretical Perspective
Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
IEEE Transactions on Knowledge and Data Engineering (TKDE) | February 2017, Vol 29: pp. 446-457
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Sampling-Based Query Re-Optimization
Wentao Wu, Jeffrey F. Naughton, Harneet Singh
Proceedings of the 2016 International Conference on Management of Data (SIGMOD 2016) | June 2016
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On Debugging Non-Answers in Keyword Search Systems
Akanksha Baid, Wentao Wu, Chong Sun, AnHai Doan, Jeffrey F. Naughton
Proceedings of the 18th International Conference on Extending Database Technology (EDBT 2015) | March 2015
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Uncertainty Aware Query Execution Time Prediction
Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton
Proceedings of the VLDB Endowment (VLDB 2014) | August 2014
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Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads
Wentao Wu, Yun Chi, Hakan Hacigümüs, Jeffrey F. Naughton
Proceedings of the VLDB Endowment (VLDB 2013) | August 2013
Predicting query execution time: Are optimizer cost models really unusable?
Wentao Wu, Yun Chi, Shenghuo Zhu, Jun'ichi Tatemura, Hakan Hacigümüs, Jeffrey F. Naughton
29th IEEE International Conference on Data Engineering (ICDE 2013) | April 2013
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Probase: a probabilistic taxonomy for text understanding
Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2012) | May 2012
Context-aware Search for Personal Information Management Systems
Jidong Chen, Wentao Wu, Hang Guo, Wei Wang
Proceedings of the Twelfth SIAM International Conference on Data Mining (SDM 2012) | April 2012
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iMecho: a context-aware desktop search system
Jidong Chen, Hang Guo, Wentao Wu, Wei Wang
Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011) | July 2011
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k-symmetry model for identity anonymization in social networks
Wentao Wu, Yanghua Xiao, Wei Wang, Zhenying He, Zhihui Wang
EDBT 2010, 13th International Conference on Extending Database Technology (EDBT 2010) | March 2010
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Personalization as a service: the architecture and a case study
Hang Guo, Jidong Chen, Wentao Wu, Wei Wang
Proceedings of the First International CIKM Workshop on Cloud Data Management (CloudDb 2009) | November 2009
iMecho: an associative memory based desktop search system
Jidong Chen, Hang Guo, Wentao Wu, Wei Wang
Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009) | November 2009
Search your memory ! – an associative memory based desktop search system
Jidong Chen, Hang Guo, Wentao Wu, Chunxin Xie
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2009) | June 2009
ISBN: 978-1-60558-551-2
Efficiently indexing shortest paths by exploiting symmetry in graphs
Yanghua Xiao, Wentao Wu, Jian Pei, Wei Wang, Zhenying He
12th International Conference on Extending Database Technology (EDBT 2009) | March 2009
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Structure-based graph distance measures of high degree of precision
Yanghua Xiao, Hua Dong, Wentao Wu, Momiao Xiong, Wei Wang, Baile Shi
Pattern Recognition (PR) | December 2008, Vol 41: pp. 3547-3561
Symmetry-based structure entropy of complex networks
Yanghua Xiao, Wentao Wu, Hui Wang, Momiao Xiong, Wei Wang
Physica A: Statistical Mechanics and its Applications | April 2008, Vol 387: pp. 2611-2619
Efficient Algorithms for Node Disjoint Subgraph Homeomorphism Determination
Yanghua Xiao, Wentao Wu, Wei Wang, Zhenying He
13th International Conference on Database Systems for Advanced Applications (DASFAA 2008) | March 2008