Wentao Wu

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 64

Top Topics

Query Execution

Nearest Neighbor Classifiers

Stochastic Gradient Descent

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Publications

Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems. VLDB J. 33 (5) (2024)
Jiawei Jiang, Shaoduo Gan, Bo Du, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Sheng Wang, Ce Zhang
A systematic evaluation of machine learning on serverless infrastructure. VLDB J. 33 (2) (2024)
Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang
Data Debugging with Shapley Importance over Machine Learning Pipelines. ICLR (2024)
Lijie Xu, Chulin Xie, Yiran Guo, Gustavo Alonso, Bo Li, Guoliang Li, Wei Wang, Wentao Wu, Ce Zhang
TablePuppet: A Generic Framework for Relational Federated Learning. CoRR (2024)
Jiawei Jiang, Yi Wei, Yu Liu, Wentao Wu, Chuang Hu, Zhigao Zheng, Ziyi Zhang, Yingxia Shao, Ce Zhang
How good are machine learning clouds? Benchmarking two snapshots over 5 years. VLDB J. 33 (3) (2024)
Matteo Brucato, Tarique Siddiqui, Wentao Wu, Vivek R. Narasayya, Surajit Chaudhuri
Wred: Workload Reduction for Scalable Index Tuning. Proc. ACM Manag. Data 2 (1) (2024)
Wentao Wu, Chi Wang
Budget-aware Query Tuning: An AutoML Perspective. CoRR (2024)
Xiaoying Wang, Wentao Wu, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri
Wii: Dynamic Budget Reallocation In Index Tuning. Proc. ACM Manag. Data 2 (3) (2024)
Tarique Siddiqui, Wentao Wu
ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges. CoRR (2023)
Tarique Siddiqui, Wentao Wu
ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges. SIGMOD Rec. 52 (4) (2023)
Cédric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise. ICDE (2023)
Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning. SIGMOD Conference (2022)
Wentao Wu, Philip A. Bernstein, Alex Raizman, Christina Pavlopoulou
Factor Windows: Cost-based Query Rewriting for Optimizing Correlated Window Aggregates. ICDE (2022)
Bojan Karlas, David Dao, Matteo Interlandi, Bo Li, Sebastian Schelter, Wentao Wu, Ce Zhang
Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines. CoRR (2022)
Tarique Siddiqui, Wentao Wu, Vivek R. Narasayya, Surajit Chaudhuri
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning. Proc. VLDB Endow. 15 (10) (2022)
Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek R. Narasayya, Surajit Chaudhuri, Philip A. Bernstein
Budget-aware Index Tuning with Reinforcement Learning. SIGMOD Conference (2022)
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle. SIGMOD Conference (2022)
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
Stochastic Gradient Descent without Full Data Shuffle. CoRR (2022)
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines. SIGMOD Rec. 51 (2) (2022)
Walter Cai, Philip A. Bernstein, Wentao Wu, Badrish Chandramouli
Optimization of Threshold Functions over Streams. Proc. VLDB Endow. 14 (6) (2021)
Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang
Towards Demystifying Serverless Machine Learning Training. CoRR (2021)
Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. CoRR (2021)
Cédric Renggli, Luka Rimanic, Nezihe Merve Gürel, Bojan Karlas, Wentao Wu, Ce Zhang
A Data Quality-Driven View of MLOps. CoRR (2021)
Alekh Jindal, K. Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas Mueller, Wentao Wu, Hiren Patel
Magpie: Python at Speed and Scale using Cloud Backends. CIDR (2021)
Wentao Wu, Ce Zhang
Towards understanding end-to-end learning in the context of data: machine learning dancing over semirings & Codd's table. DEEM@SIGMOD (2021)
Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui
OpenBox: A Generalized Black-box Optimization Service. KDD (2021)
Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui
OpenBox: A Generalized Black-box Optimization Service. CoRR (2021)
Rahul Potharaju, Terry Kim, Eunjin Song, Wentao Wu, Lev Novik, Apoorve Dave, Pouria Pirzadeh, Andrew Fogarty, Gurleen Dhody, Jiying Li, Vidip Acharya, Sinduja Ramanujam, Nicolas Bruno, César A. Galindo-Legaria, Vivek R. Narasayya, Surajit Chaudhuri, Anil Nori, Tomas Talius, Raghu Ramakrishnan
Hyperspace: The Indexing Subsystem of Azure Synapse. Proc. VLDB Endow. 14 (12) (2021)
Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang
Towards Demystifying Serverless Machine Learning Training. SIGMOD Conference (2021)
Yunyan Guo, Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Bin Cui, Jianzhong Li
Model averaging in distributed machine learning: a case study with Apache Spark. VLDB J. 30 (4) (2021)
Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. Proc. VLDB Endow. 14 (11) (2021)
Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang
Ease.ML: A Lifecycle Management System for Machine Learning. CIDR (2021)
Cédric Renggli, Luka Rimanic, Nezihe Merve Gürel, Bojan Karlas, Wentao Wu, Ce Zhang
A Data Quality-Driven View of MLOps. IEEE Data Eng. Bull. 44 (1) (2021)
Wentao Wu, Philip A. Bernstein, Alex Raizman, Christina Pavlopoulou
Cost-based Query Rewriting Techniques for Optimizing Aggregates Over Correlated Windows. CoRR (2020)
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. Proc. VLDB Endow. 14 (3) (2020)
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. CoRR (2020)
Cédric Renggli, Luka Rimanic, Luka Kolar, Nora Hollenstein, Wentao Wu, Ce Zhang
On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy. CoRR (2020)
Rahul Potharaju, Terry Kim, Wentao Wu, Vidip Acharya, Steve Suh, Andrew Fogarty, Apoorve Dave, Sinduja Ramanujam, Tomas Talius, Lev Novik, Raghu Ramakrishnan
Helios: Hyperscale Indexing for the Cloud & Edge. Proc. VLDB Endow. 13 (12) (2020)
Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang
C olumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent. ICDE (2020)
Bojan Karlas, Matteo Interlandi, Cédric Renggli, Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer
Building Continuous Integration Services for Machine Learning. KDD (2020)
Cédric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development. Proc. VLDB Endow. 13 (12) (2020)
Wentao Wu
A Note On Operator-Level Query Execution Cost Modeling. CoRR (2020)
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations. SIGMOD Conference (2019)
Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui
MLlib*: Fast Training of GLMs Using Spark MLlib. ICDE (2019)
Philip A. Bernstein, Todd Porter, Rahul Potharaju, Alejandro Z. Tomsic, Shivaram Venkataraman, Wentao Wu
Serverless Event-Stream Processing over Virtual Actors. CIDR (2019)
Cédric Renggli, Bojan Karlas, Bolin Ding, Feng Liu, Kevin Schawinski, Wentao Wu, Ce Zhang
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment. MLSys (2019)
Cédric Renggli, Frances Ann Hubis, Bojan Karlas, Kevin Schawinski, Wentao Wu, Ce Zhang
Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization. Proc. VLDB Endow. 12 (12) (2019)
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer
Data Science through the looking glass and what we found there. CoRR (2019)
Frances Ann Hubis, Wentao Wu, Ce Zhang
Quantitative Overfitting Management for Human-in-the-loop ML Application Development with ease.ml/meter. CoRR (2019)
Cédric Renggli, Bojan Karlas, Bolin Ding, Feng Liu, Kevin Schawinski, Wentao Wu, Ce Zhang
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment. CoRR (2019)
Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads. Proc. VLDB Endow. 11 (5) (2018)
Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya
Plan Stitch: Harnessing the Best of Many Plans. Proc. VLDB Endow. 11 (10) (2018)
Bojan Karlas, Ji Liu, Wentao Wu, Ce Zhang
Ease.ml in Action: Towards Multi-tenant Declarative Learning Services. Proc. VLDB Endow. 11 (12) (2018)
Yu Liu, Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang
MLBench: Benchmarking Machine Learning Services Against Human Experts. Proc. VLDB Endow. 11 (10) (2018)
Ce Zhang, Wentao Wu, Tian Li
An Overreaction to the Broken Machine Learning Abstraction: The ease.ml Vision. HILDA@SIGMOD (2017)
Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang
How Good Are Machine Learning Clouds for Binary Classification with Good Features? CoRR (2017)
Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
Semantic Bootstrapping: A Theoretical Perspective. ICDE (2017)
Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
Semantic Bootstrapping: A Theoretical Perspective. IEEE Trans. Knowl. Data Eng. 29 (2) (2017)
Fatemah Panahi, Wentao Wu, AnHai Doan, Jeffrey F. Naughton
Towards Interactive Debugging of Rule-based Entity Matching. EDBT (2017)
Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads. CoRR (2017)
Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang
How good are machine learning clouds for binary classification with good features?: extended abstract. SoCC (2017)
Xupeng Li, Bin Cui, Yiru Chen, Wentao Wu, Ce Zhang
MLog: Towards Declarative In-Database Machine Learning. Proc. VLDB Endow. 10 (12) (2017)
Wentao Wu, Jeffrey F. Naughton, Harneet Singh
Sampling-Based Query Re-Optimization. CoRR (2016)
Wentao Wu, Jeffrey F. Naughton, Harneet Singh
Sampling-Based Query Re-Optimization. SIGMOD Conference (2016)
Akanksha Baid, Wentao Wu, Chong Sun, AnHai Doan, Jeffrey F. Naughton
On Debugging Non-Answers in Keyword Search Systems. EDBT (2015)
Xi Wu, Matthew Fredrikson, Wentao Wu, Somesh Jha, Jeffrey F. Naughton
Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences. CoRR (2015)
Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton
Uncertainty Aware Query Execution Time Prediction. CoRR (2014)
Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton
Uncertainty Aware Query Execution Time Prediction. Proc. VLDB Endow. 7 (14) (2014)
Wentao Wu, Yun Chi, Shenghuo Zhu, Jun'ichi Tatemura, Hakan Hacigümüs, Jeffrey F. Naughton
Predicting query execution time: Are optimizer cost models really unusable? ICDE (2013)
Wentao Wu, Yun Chi, Hakan Hacigümüs, Jeffrey F. Naughton
Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads. Proc. VLDB Endow. 6 (10) (2013)
Jidong Chen, Wentao Wu, Hang Guo, Wei Wang
Context-aware Search for Personal Information Management Systems. SDM (2012)
Wentao Wu, Hongsong Li, Haixun Wang, Kenny Qili Zhu
Probase: a probabilistic taxonomy for text understanding. SIGMOD Conference (2012)
Jidong Chen, Hang Guo, Wentao Wu, Wei Wang
iMecho: a context-aware desktop search system. SIGIR (2011)
Wentao Wu, Yanghua Xiao, Wei Wang, Zhenying He, Zhihui Wang
k-symmetry model for identity anonymization in social networks. EDBT (2010)
Hang Guo, Jidong Chen, Wentao Wu, Wei Wang
Personalization as a service: the architecture and a case study. CloudDB@CIKM (2009)
Jidong Chen, Hang Guo, Wentao Wu, Wei Wang
iMecho: an associative memory based desktop search system. CIKM (2009)
Yanghua Xiao, Wentao Wu, Jian Pei, Wei Wang, Zhenying He
Efficiently indexing shortest paths by exploiting symmetry in graphs. EDBT (2009)
Jidong Chen, Hang Guo, Wentao Wu, Chunxin Xie
Search your memory ! - an associative memory based desktop search system. SIGMOD Conference (2009)
Yanghua Xiao, Hua Dong, Wentao Wu, Momiao Xiong, Wei Wang, Baile Shi
Structure-based graph distance measures of high degree of precision. Pattern Recognit. 41 (12) (2008)
Yanghua Xiao, Wentao Wu, Wei Wang, Zhenying He
Efficient Algorithms for Node Disjoint Subgraph Homeomorphism Determination. DASFAA (2008)
Yanghua Xiao, Wentao Wu, Wei Wang, Zhenying He
Efficient Algorithms for Node Disjoint Subgraph Homeomorphism Determination CoRR (2007)