Wentao Wu - RankMe

91 papers A* 11A 5B 5Journal 57Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating the Practical Effectiveness of LLM-Driven Index Tuning with Microsoft Database Tuning Advisor. CoRR Xiaoying Wang, Wentao Wu, Vivek R. Narasayya, Surajit Chaudhuri
2026	J	`jnl`	TablePuppet: Towards a Generic Framework for Learning over Relational Tables. VLDB J. Lijie Xu, Chulin Xie, Yiran Guo, Haiyang Lu, Gustavo Alonso, Bo Li, Guoliang Li, Wei Wang, Wentao Wu, Ce Zhang
2026	J	`jnl`	UTune: Towards Uncertainty-Aware Online Index Tuning. CoRR Chenning Wu, Sifan Chen, Wentao Wu, Yinan Jing, Zhenying He, Kai Zhang, X. Sean Wang
2025	J	`jnl`	Esc: An Early-Stopping Checker for Budget-aware Index Tuning. Proc. VLDB Endow. Xiaoying Wang, Wentao Wu, Vivek R. Narasayya, Surajit Chaudhuri
2025	J	`jnl`	Esc: An Early-stopping Checker for Budget-aware Index Tuning. CoRR Xiaoying Wang, Wentao Wu, Vivek R. Narasayya, Surajit Chaudhuri
2025	A*	`conf`	FreewayML: An Adaptive and Stable Streaming Learning Framework for Dynamic Data Streams. ICDE Zheng Qin, Zheheng Liang, Lijie Xu, Wentao Wu, Mingchao Wu, Wuqiang Shen, Wei Wang
2025	J	`jnl`	Hybrid Cost Modeling for Reducing Query Performance Regression in Index Tuning. IEEE Trans. Knowl. Data Eng. Wentao Wu
2025	J	`jnl`	Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis]. Proc. ACM Manag. Data Wentao Wu, Anshuman Dutt, Gaoxiang Xu, Vivek R. Narasayya, Surajit Chaudhuri
2025	J	`jnl`	Wii: Dynamic Budget Reallocation In Index Tuning. CoRR Xiaoying Wang, Wentao Wu, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri
2024	J	`jnl`	A systematic evaluation of machine learning on serverless infrastructure. VLDB J. Jiawei Jiang, Shaoduo Gan, Bo Du, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Sheng Wang, Ce Zhang
2024	J	`jnl`	Budget-aware Query Tuning: An AutoML Perspective. CoRR Wentao Wu, Chi Wang
2024	J	`jnl`	Budget-aware Query Tuning: An AutoML Perspective. SIGMOD Rec. Wentao Wu, Chi Wang
2024	A*	`conf`	Data Debugging with Shapley Importance over Machine Learning Pipelines. ICLR Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang
2024	J	`jnl`	How good are machine learning clouds? Benchmarking two snapshots over 5 years. VLDB J. Jiawei Jiang, Yi Wei, Yu Liu, Wentao Wu, Chuang Hu, Zhigao Zheng, Ziyi Zhang, Yingxia Shao, Ce Zhang
2024	J	`jnl`	Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems. VLDB J. Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
2024	J	`jnl`	TablePuppet: A Generic Framework for Relational Federated Learning. CoRR Lijie Xu, Chulin Xie, Yiran Guo, Gustavo Alonso, Bo Li, Guoliang Li, Wei Wang, Wentao Wu, Ce Zhang
2024	J	`jnl`	Wii: Dynamic Budget Reallocation In Index Tuning. Proc. ACM Manag. Data Xiaoying Wang, Wentao Wu, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri
2024	J	`jnl`	Wred: Workload Reduction for Scalable Index Tuning. Proc. ACM Manag. Data Matteo Brucato, Tarique Siddiqui, Wentao Wu, Vivek R. Narasayya, Surajit Chaudhuri
2023	A*	`conf`	Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise. ICDE Cédric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
2023	J	`jnl`	ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges. CoRR Tarique Siddiqui, Wentao Wu
2023	J	`jnl`	ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges. SIGMOD Rec. Tarique Siddiqui, Wentao Wu
2022	—	`conf`	Budget-aware Index Tuning with Reinforcement Learning. SIGMOD Conference Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek R. Narasayya, Surajit Chaudhuri, Philip A. Bernstein
2022	J	`jnl`	DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning. Proc. VLDB Endow. Tarique Siddiqui, Wentao Wu, Vivek R. Narasayya, Surajit Chaudhuri
2022	J	`jnl`	Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines. CoRR Bojan Karlas, David Dao, Matteo Interlandi, Bo Li, Sebastian Schelter, Wentao Wu, Ce Zhang
2022	J	`jnl`	Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines. SIGMOD Rec. 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
2022	A*	`conf`	Factor Windows: Cost-based Query Rewriting for Optimizing Correlated Window Aggregates. ICDE Wentao Wu, Philip A. Bernstein, Alex Raizman, Christina Pavlopoulou
2022	—	`conf`	ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning. SIGMOD Conference Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri
2022	—	`conf`	In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle. SIGMOD Conference Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
2022	J	`jnl`	Stochastic Gradient Descent without Full Data Shuffle. CoRR Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
2021	J	`jnl`	A Data Quality-Driven View of MLOps. CoRR Cédric Renggli, Luka Rimanic, Nezihe Merve Gürel, Bojan Karlas, Wentao Wu, Ce Zhang
2021	J	`jnl`	A Data Quality-Driven View of MLOps. IEEE Data Eng. Bull. Cédric Renggli, Luka Rimanic, Nezihe Merve Gürel, Bojan Karlas, Wentao Wu, Ce Zhang
2021	A	`conf`	Ease.ML: A Lifecycle Management System for Machine Learning. CIDR Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang
2021	J	`jnl`	Hyperspace: The Indexing Subsystem of Azure Synapse. Proc. VLDB Endow. 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
2021	A	`conf`	Magpie: Python at Speed and Scale using Cloud Backends. CIDR Alekh Jindal, K. Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas Müller, Wentao Wu, Hiren Patel
2021	J	`jnl`	Model averaging in distributed machine learning: a case study with Apache Spark. VLDB J. Yunyan Guo, Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Bin Cui, Jianzhong Li
2021	A*	`conf`	OpenBox: A Generalized Black-box Optimization Service. KDD Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui
2021	J	`jnl`	OpenBox: A Generalized Black-box Optimization Service. CoRR Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui
2021	J	`jnl`	Optimization of Threshold Functions over Streams. Proc. VLDB Endow. Walter Cai, Philip A. Bernstein, Wentao Wu, Badrish Chandramouli
2021	—	`conf`	Towards Demystifying Serverless Machine Learning Training. SIGMOD Conference Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang
2021	J	`jnl`	Towards Demystifying Serverless Machine Learning Training. CoRR Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang
2021	—	`conf`	Towards understanding end-to-end learning in the context of data: machine learning dancing over semirings & Codd's table. DEEM@SIGMOD Wentao Wu, Ce Zhang
2021	J	`jnl`	VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. CoRR Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
2021	J	`jnl`	VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. Proc. VLDB Endow. Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
2020	J	`jnl`	A Note On Operator-Level Query Execution Cost Modeling. CoRR Wentao Wu
2020	A*	`conf`	Building Continuous Integration Services for Machine Learning. KDD Bojan Karlas, Matteo Interlandi, Cédric Renggli, Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer
2020	A*	`conf`	C olumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent. ICDE Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang
2020	J	`jnl`	Cost-based Query Rewriting Techniques for Optimizing Aggregates Over Correlated Windows. CoRR Wentao Wu, Philip A. Bernstein, Alex Raizman, Christina Pavlopoulou
2020	J	`jnl`	Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development. Proc. VLDB Endow. Cédric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
2020	J	`jnl`	Helios: Hyperscale Indexing for the Cloud & Edge. Proc. VLDB Endow. Rahul Potharaju, Terry Kim, Wentao Wu, Vidip Acharya, Steve Suh, Andrew Fogarty, Apoorve Dave, Sinduja Ramanujam, Tomas Talius, Lev Novik, Raghu Ramakrishnan
2020	J	`jnl`	Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. CoRR Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang
2020	J	`jnl`	Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. Proc. VLDB Endow. Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang
2020	J	`jnl`	On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy. CoRR Cédric Renggli, Luka Rimanic, Luka Kolar, Nora Hollenstein, Wentao Wu, Ce Zhang
2019	—	`conf`	AI Meets AI: Leveraging Query Executions to Improve Index Recommendations. SIGMOD Conference Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya
2019	—	`conf`	Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment. SysML Cédric Renggli, Bojan Karlas, Bolin Ding, Feng Liu, Kevin Schawinski, Wentao Wu, Ce Zhang
2019	J	`jnl`	Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment. CoRR Cédric Renggli, Bojan Karlas, Bolin Ding, Feng Liu, Kevin Schawinski, Wentao Wu, Ce Zhang
2019	J	`jnl`	Data Science through the looking glass and what we found there. CoRR Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer
2019	J	`jnl`	Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization. Proc. VLDB Endow. Cédric Renggli, Frances Ann Hubis, Bojan Karlas, Kevin Schawinski, Wentao Wu, Ce Zhang
2019	A*	`conf`	MLlib*: Fast Training of GLMs Using Spark MLlib. ICDE Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui
2019	J	`jnl`	Quantitative Overfitting Management for Human-in-the-loop ML Application Development with ease.ml/meter. CoRR Frances Ann Hubis, Wentao Wu, Ce Zhang
2019	A	`conf`	Serverless Event-Stream Processing over Virtual Actors. CIDR Philip A. Bernstein, Todd Porter, Rahul Potharaju, Alejandro Z. Tomsic, Shivaram Venkataraman, Wentao Wu
2018	J	`jnl`	Ease.ml in Action: Towards Multi-tenant Declarative Learning Services. Proc. VLDB Endow. Bojan Karlas, Ji Liu, Wentao Wu, Ce Zhang
2018	J	`jnl`	Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads. Proc. VLDB Endow. Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang
2018	J	`jnl`	MLBench: Benchmarking Machine Learning Services Against Human Experts. Proc. VLDB Endow. Yu Liu, Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang
2018	J	`jnl`	Plan Stitch: Harnessing the Best of Many Plans. Proc. VLDB Endow. Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya
2017	—	`conf`	An Overreaction to the Broken Machine Learning Abstraction: The ease.ml Vision. HILDA@SIGMOD Ce Zhang, Wentao Wu, Tian Li
2017	J	`jnl`	Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads. CoRR Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang
2017	J	`jnl`	How Good Are Machine Learning Clouds for Binary Classification with Good Features? CoRR Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang
2017	—	`conf`	How good are machine learning clouds for binary classification with good features?: extended abstract. SoCC Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang
2017	J	`jnl`	MLog: Towards Declarative In-Database Machine Learning. Proc. VLDB Endow. Xupeng Li, Bin Cui, Yiru Chen, Wentao Wu, Ce Zhang
2017	A*	`conf`	Semantic Bootstrapping: A Theoretical Perspective. ICDE Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
2017	J	`jnl`	Semantic Bootstrapping: A Theoretical Perspective. IEEE Trans. Knowl. Data Eng. Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu
2017	B	`conf`	Towards Interactive Debugging of Rule-based Entity Matching. EDBT Fatemah Panahi, Wentao Wu, AnHai Doan, Jeffrey F. Naughton
2016	—	`conf`	Sampling-Based Query Re-Optimization. SIGMOD Conference Wentao Wu, Jeffrey F. Naughton, Harneet Singh
2016	J	`jnl`	Sampling-Based Query Re-Optimization. CoRR Wentao Wu, Jeffrey F. Naughton, Harneet Singh
2015	B	`conf`	On Debugging Non-Answers in Keyword Search Systems. EDBT Akanksha Baid, Wentao Wu, Chong Sun, AnHai Doan, Jeffrey F. Naughton
2015	J	`jnl`	Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences. CoRR Xi Wu, Matthew Fredrikson, Wentao Wu, Somesh Jha, Jeffrey F. Naughton
2014	J	`jnl`	Uncertainty Aware Query Execution Time Prediction. CoRR Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton
2014	J	`jnl`	Uncertainty Aware Query Execution Time Prediction. Proc. VLDB Endow. Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton
2013	A*	`conf`	Predicting query execution time: Are optimizer cost models really unusable? ICDE Wentao Wu, Yun Chi, Shenghuo Zhu, Jun'ichi Tatemura, Hakan Hacigümüs, Jeffrey F. Naughton
2013	J	`jnl`	Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads. Proc. VLDB Endow. Wentao Wu, Yun Chi, Hakan Hacigümüs, Jeffrey F. Naughton
2012	A	`conf`	Context-aware Search for Personal Information Management Systems. SDM Jidong Chen, Wentao Wu, Hang Guo, Wei Wang
2012	—	`conf`	Probase: a probabilistic taxonomy for text understanding. SIGMOD Conference Wentao Wu, Hongsong Li, Haixun Wang, Kenny Qili Zhu
2011	A*	`conf`	iMecho: a context-aware desktop search system. SIGIR Jidong Chen, Hang Guo, Wentao Wu, Wei Wang
2010	B	`conf`	k-symmetry model for identity anonymization in social networks. EDBT Wentao Wu, Yanghua Xiao, Wei Wang, Zhenying He, Zhihui Wang
2009	B	`conf`	Efficiently indexing shortest paths by exploiting symmetry in graphs. EDBT Yanghua Xiao, Wentao Wu, Jian Pei, Wei Wang, Zhenying He
2009	—	`conf`	Personalization as a service: the architecture and a case study. CloudDB@CIKM Hang Guo, Jidong Chen, Wentao Wu, Wei Wang
2009	—	`conf`	Search your memory ! - an associative memory based desktop search system. SIGMOD Conference Jidong Chen, Hang Guo, Wentao Wu, Chunxin Xie
2009	A	`conf`	iMecho: an associative memory based desktop search system. CIKM Jidong Chen, Hang Guo, Wentao Wu, Wei Wang
2008	B	`conf`	Efficient Algorithms for Node Disjoint Subgraph Homeomorphism Determination. DASFAA Yanghua Xiao, Wentao Wu, Wei Wang, Zhenying He
2008	J	`jnl`	Structure-based graph distance measures of high degree of precision. Pattern Recognit. Yanghua Xiao, Hua Dong, Wentao Wu, Momiao Xiong, Wei Wang, Baile Shi
2007	J	`jnl`	Efficient Algorithms for Node Disjoint Subgraph Homeomorphism Determination CoRR Yanghua Xiao, Wentao Wu, Wei Wang, Zhenying He