Wentao Wu

Principal Researcher

出版物

表示方法:

- Evaluating the Practical Effectiveness of LLM-Driven Index Tuning with Microsoft Database Tuning Advisor
  
  Xiaoying Wang, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
  
  March 2026
  
  Publication
- Understanding and Detecting Query Performance Regression in Practical Index Tuning
  
  Wentao Wu, Anshuman Dutt, Gaoxiang Xu, Vivek Narasayya, Surajit Chaudhuri
  
  Proceedings of the ACM on Management of Data (SIGMOD 2026) | December 2025, 巻3(6)
  
  Publication
- Esc: An Early-stopping Checker for Budget-aware Index Tuning (Extended Version)
  
  Xiaoying Wang, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
  
  Proceedings of the VLDB Endowment (VLDB 2025) | August 2025
  
  Publication
- 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 41st International Conference on Data Engineering (ICDE 2025) | April 2025
  
  Publication
- Hybrid Cost Modeling for Reducing Query Performance Regression in Index Tuning
  
  Wentao Wu
  
  IEEE Transactions on Knowledge and Data Engineering | January 2025, 巻37(1): pp. 379-391
  
  Publication
- Budget-aware Query Tuning: An AutoML Perspective
  
  Wentao Wu, Chi Wang
  
  SIGMOD Record | October 2024, 巻53(3): pp. 20-26
  
  Publication
- 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, 巻2(3)
  
  Publication Publication
- 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, 巻2(1)
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges
  
  Tarique Siddiqui, Wentao Wu
  
  SIGMOD Record | December 2023, 巻52(4): pp. 19-30
  
  Publication
- 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
  
  Publication
- 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, 巻33(2): pp. 425-449
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  DOI PDF Github
- 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
  
  Publication
- Optimization of threshold functions over streams
  
  Walter Cai, Phil Bernstein, Wentao Wu, Badrish Chandramouli
  
  Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
  
  DOI PDF
- 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
  
  Publication
- The Case for ML-Enhanced High-Dimensional Indexes
  
  Rong Kang, Wentao Wu, Chen Wang, Ce Zhang, Jianmin Wang
  
  AIDB@VLDB 2021 | July 2021
  
  Publication Author's Version
- 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
  
  Author's Version Publication
- 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
  
  Publication Author's Version
- 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, 巻44(1): pp. 11-23
  
  Publication
- 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
  
  Publication 動画動画
- 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
  
  Publication
- 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
  
  Author's Version Publication
- 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
  
  Publication
- 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
  
  DOI PDF Publication Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication プロジェクト
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication プロジェクトプロジェクト
- 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
  
  公開日
- 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
  
  公開日
- 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
  
  公開日
- 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
  
  公開日公開日
- 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
  
  公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- Semantic Bootstrapping: A Theoretical Perspective
  
  Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
  
  IEEE Transactions on Knowledge and Data Engineering (TKDE) | February 2017, 巻29: pp. 446-457
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- Uncertainty Aware Query Execution Time Prediction
  
  Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton
  
  Proceedings of the VLDB Endowment (VLDB 2014) | August 2014
  
  公開日
- 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
  
  公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日
- 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, 巻41: pp. 3547-3561
  
  公開日公開日
- 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, 巻387: pp. 2611-2619
  
  公開日公開日
- 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
  
  公開日公開日

- Evaluating the Practical Effectiveness of LLM-Driven Index Tuning with Microsoft Database Tuning Advisor
  
  Xiaoying Wang, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
  
  March 2026
  
  Publication
- 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 41st International Conference on Data Engineering (ICDE 2025) | April 2025
  
  Publication
- Hybrid Cost Modeling for Reducing Query Performance Regression in Index Tuning
  
  Wentao Wu
  
  IEEE Transactions on Knowledge and Data Engineering | January 2025, 巻37(1): pp. 379-391
  
  Publication
- Budget-aware Query Tuning: An AutoML Perspective
  
  Wentao Wu, Chi Wang
  
  SIGMOD Record | October 2024, 巻53(3): pp. 20-26
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges
  
  Tarique Siddiqui, Wentao Wu
  
  SIGMOD Record | December 2023, 巻52(4): pp. 19-30
  
  Publication
- 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
  
  Publication
- 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, 巻33(2): pp. 425-449
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- The Case for ML-Enhanced High-Dimensional Indexes
  
  Rong Kang, Wentao Wu, Chen Wang, Ce Zhang, Jianmin Wang
  
  AIDB@VLDB 2021 | July 2021
  
  Publication Author's Version
- 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
  
  Publication Author's Version
- 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
  
  Publication プロジェクト
- Evaluating the Practical Effectiveness of LLM-Driven Index Tuning with Microsoft Database Tuning Advisor
  
  Xiaoying Wang, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
  
  March 2026
  
  Publication
- Understanding and Detecting Query Performance Regression in Practical Index Tuning
  
  Wentao Wu, Anshuman Dutt, Gaoxiang Xu, Vivek Narasayya, Surajit Chaudhuri
  
  Proceedings of the ACM on Management of Data (SIGMOD 2026) | December 2025, 巻3(6)
  
  Publication
- Esc: An Early-stopping Checker for Budget-aware Index Tuning (Extended Version)
  
  Xiaoying Wang, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
  
  Proceedings of the VLDB Endowment (VLDB 2025) | August 2025
  
  Publication
- 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 41st International Conference on Data Engineering (ICDE 2025) | April 2025
  
  Publication
- Hybrid Cost Modeling for Reducing Query Performance Regression in Index Tuning
  
  Wentao Wu
  
  IEEE Transactions on Knowledge and Data Engineering | January 2025, 巻37(1): pp. 379-391
  
  Publication
- Budget-aware Query Tuning: An AutoML Perspective
  
  Wentao Wu, Chi Wang
  
  SIGMOD Record | October 2024, 巻53(3): pp. 20-26
  
  Publication
- 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, 巻2(3)
  
  Publication Publication
- 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, 巻2(1)
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges
  
  Tarique Siddiqui, Wentao Wu
  
  SIGMOD Record | December 2023, 巻52(4): pp. 19-30
  
  Publication
- 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
  
  Publication
- 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, 巻33(2): pp. 425-449
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  DOI PDF Github
- 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
  
  Publication
- Optimization of threshold functions over streams
  
  Walter Cai, Phil Bernstein, Wentao Wu, Badrish Chandramouli
  
  Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
  
  DOI PDF
- 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
  
  Publication
- The Case for ML-Enhanced High-Dimensional Indexes
  
  Rong Kang, Wentao Wu, Chen Wang, Ce Zhang, Jianmin Wang
  
  AIDB@VLDB 2021 | July 2021
  
  Publication Author's Version
- 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
  
  Publication Author's Version
- 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
  
  Author's Version Publication
- 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, 巻44(1): pp. 11-23
  
  Publication
- 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
  
  Publication 動画動画
- 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
  
  Author's Version Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  DOI PDF Publication Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication プロジェクト
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication プロジェクトプロジェクト
- 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
  
  公開日
- 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
  
  公開日
- 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
  
  公開日
- 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
  
  公開日公開日
- 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
  
  公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- Semantic Bootstrapping: A Theoretical Perspective
  
  Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
  
  IEEE Transactions on Knowledge and Data Engineering (TKDE) | February 2017, 巻29: pp. 446-457
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- Uncertainty Aware Query Execution Time Prediction
  
  Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton
  
  Proceedings of the VLDB Endowment (VLDB 2014) | August 2014
  
  公開日
- 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
  
  公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日
- 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, 巻41: pp. 3547-3561
  
  公開日公開日
- 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, 巻387: pp. 2611-2619
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  Publication 動画動画

- Evaluating the Practical Effectiveness of LLM-Driven Index Tuning with Microsoft Database Tuning Advisor
  
  Xiaoying Wang, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
  
  March 2026
  
  Publication
- Understanding and Detecting Query Performance Regression in Practical Index Tuning
  
  Wentao Wu, Anshuman Dutt, Gaoxiang Xu, Vivek Narasayya, Surajit Chaudhuri
  
  Proceedings of the ACM on Management of Data (SIGMOD 2026) | December 2025, 巻3(6)
  
  Publication
- Hybrid Cost Modeling for Reducing Query Performance Regression in Index Tuning
  
  Wentao Wu
  
  IEEE Transactions on Knowledge and Data Engineering | January 2025, 巻37(1): pp. 379-391
  
  Publication
- Budget-aware Query Tuning: An AutoML Perspective
  
  Wentao Wu, Chi Wang
  
  SIGMOD Record | October 2024, 巻53(3): pp. 20-26
  
  Publication
- 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, 巻2(3)
  
  Publication Publication
- 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, 巻2(1)
  
  Publication
- 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
  
  Publication
- ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges
  
  Tarique Siddiqui, Wentao Wu
  
  SIGMOD Record | December 2023, 巻52(4): pp. 19-30
  
  Publication
- 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
  
  Publication
- 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, 巻33(2): pp. 425-449
  
  Publication
- 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
  
  Publication
- 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, 巻44(1): pp. 11-23
  
  Publication
- 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
  
  Author's Version Publication
- Semantic Bootstrapping: A Theoretical Perspective
  
  Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
  
  IEEE Transactions on Knowledge and Data Engineering (TKDE) | February 2017, 巻29: pp. 446-457
  
  公開日公開日
- 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, 巻41: pp. 3547-3561
  
  公開日公開日
- 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, 巻387: pp. 2611-2619
  
  公開日公開日
- Esc: An Early-stopping Checker for Budget-aware Index Tuning (Extended Version)
  
  Xiaoying Wang, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
  
  Proceedings of the VLDB Endowment (VLDB 2025) | August 2025
  
  Publication
- 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 41st International Conference on Data Engineering (ICDE 2025) | April 2025
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  DOI PDF Github
- 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
  
  Publication
- Optimization of threshold functions over streams
  
  Walter Cai, Phil Bernstein, Wentao Wu, Badrish Chandramouli
  
  Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
  
  DOI PDF
- 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
  
  Publication
- The Case for ML-Enhanced High-Dimensional Indexes
  
  Rong Kang, Wentao Wu, Chen Wang, Ce Zhang, Jianmin Wang
  
  AIDB@VLDB 2021 | July 2021
  
  Publication Author's Version
- 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
  
  Publication Author's Version
- 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
  
  Author's Version Publication
- 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
  
  Publication 動画動画
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  DOI PDF Publication Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication プロジェクト
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication プロジェクトプロジェクト
- 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
  
  公開日
- 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
  
  公開日
- 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
  
  公開日
- 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
  
  公開日公開日
- 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
  
  公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- Uncertainty Aware Query Execution Time Prediction
  
  Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton
  
  Proceedings of the VLDB Endowment (VLDB 2014) | August 2014
  
  公開日
- 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
  
  公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日公開日
- 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
  
  公開日
- 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
  
  公開日公開日

Wentao Wu

出版物

Evaluating the Practical Effectiveness of LLM-Driven Index Tuning with Microsoft Database Tuning Advisor

Understanding and Detecting Query Performance Regression in Practical Index Tuning

Esc: An Early-stopping Checker for Budget-aware Index Tuning (Extended Version)

FreewayML: An Adaptive and Stable Streaming Learning Framework for Dynamic Data Stream

Hybrid Cost Modeling for Reducing Query Performance Regression in Index Tuning

Budget-aware Query Tuning: An AutoML Perspective

Wii: Dynamic Budget Reallocation In Index Tuning (Extended Version)

Wred: Workload Reduction for Scalable Index Tuning

Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems

Data Debugging with Shapley Importance over Machine Learning Pipelines

ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges

How Good are Machine Learning Clouds? Benchmarking Two Snapshots over 5 Years

A Systematic Evaluation of Machine Learning on Serverless Infrastructure

Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise

DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning (Extended Version)

Budget-aware Index Tuning with Reinforcement Learning (Extended Version)

In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle

ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning (Extended Version)

Factor Windows: Cost-based Query Rewriting for Optimizing Correlated Window Aggregates

Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines

OpenBox: A Generalized Black-box Optimization Service

Hyperspace: The Indexing Subsystem of Azure Synapse

Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions

Optimization of threshold functions over streams

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition

The Case for ML-Enhanced High-Dimensional Indexes

Towards Demystifying Serverless Machine Learning Training

Towards understanding end-to-end learning in the context of data: machine learning dancing over semirings & Codd’s table

A Data Quality-Driven View of MLOps

Magpie: Python at Speed and Scale using Cloud Backends

Ease.ML: A Lifecycle Management System for MLDev and MLOps

Model Averaging in Distributed Machine Learning: A Case Study with Apache Spark

Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development

Helios: Hyperscale Indexing for the Cloud & Edge

Building Continuous Integration Services for Machine Learning

ColumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent

AI Meets AI: Leveraging Query Executions to Improve Index Recommendations

Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization

Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment

MLlib*: Fast Training of GLMs using Spark MLlib

Serverless Event-Stream Processing over Virtual Actors

Plan Stitch: Harnessing the Best of Many Plans

MLBench: Benchmarking Machine Learning Services Against Human Experts

Ease.ml in Action: Towards Multi-tenant Declarative Learning Services

Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads

How Good Are Machine Learning Clouds for Binary Classification with Good Features?

MLog: Towards Declarative In-Database Machine Learning

An Overreaction to the Broken Machine Learning Abstraction: The ease.ml Vision

Semantic Bootstrapping: A Theoretical Perspective

Towards Interactive Debugging of Rule-based Entity Matching

Semantic Bootstrapping: A Theoretical Perspective

Sampling-Based Query Re-Optimization

On Debugging Non-Answers in Keyword Search Systems

Uncertainty Aware Query Execution Time Prediction

Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads

Predicting query execution time: Are optimizer cost models really unusable?

Probase: a probabilistic taxonomy for text understanding

Context-aware Search for Personal Information Management Systems

iMecho: a context-aware desktop search system

k-symmetry model for identity anonymization in social networks

Personalization as a service: the architecture and a case study

iMecho: an associative memory based desktop search system

Search your memory ! – an associative memory based desktop search system

Efficiently indexing shortest paths by exploiting symmetry in graphs

Structure-based graph distance measures of high degree of precision

Symmetry-based structure entropy of complex networks

Efficient Algorithms for Node Disjoint Subgraph Homeomorphism Determination

Evaluating the Practical Effectiveness of LLM-Driven Index Tuning with Microsoft Database Tuning Advisor

FreewayML: An Adaptive and Stable Streaming Learning Framework for Dynamic Data Stream

Hybrid Cost Modeling for Reducing Query Performance Regression in Index Tuning

Budget-aware Query Tuning: An AutoML Perspective

Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems

Data Debugging with Shapley Importance over Machine Learning Pipelines

ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges

How Good are Machine Learning Clouds? Benchmarking Two Snapshots over 5 Years

A Systematic Evaluation of Machine Learning on Serverless Infrastructure

Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise

Budget-aware Index Tuning with Reinforcement Learning (Extended Version)