Xu Chu

According to our database, Xu Chu authored at least 29 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Prompt Editor: A Taxonomy-driven System for Guided LLM Prompt Development in Enterprise Settings.

Jeffery Cao, Lampros Flokas, Yujian Xu, Eugene Wu, Xu Chu, Cong Yu

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

LLM-DPM - Workshop on Large Language Models for Data Process Management.

Faiza Allah Bukhsh, Paolo Ceravolo, Xu Chu, Samira Maghool, Eugene Wu, Cong Yu

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

Towards a Framework for Hierarchical Text Segmentation using Large Language Models.

Lampros Flokas, Jeffery Cao, Yujian Xu, Eugene Wu, Xu Chu, Cong Yu

Proceedings of the Workshop on Data Management for End-to-End Machine Learning, 2025

2024

SketchQL: Video Moment Querying with a Visual Query Interface.

Renzhi Wu, Pramod Chunduri, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong

Proc. ACM Manag. Data, September, 2024

SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches.

Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong

Proc. VLDB Endow., August, 2024

2023

Experiences and Lessons Learned from the SIGMOD Entity Resolution Programming Contests.

Andrea De Angelis, Maurizio Mazzei, Federico Piai, Paolo Merialdo, Giovanni Simonini, Luca Zecchini, Sonia Bergamaschi, Donatella Firmani, Xu Chu, Peng Li, Renzhi Wu

SIGMOD Rec., June, 2023

iFlipper: Label Flipping for Individual Fairness.

Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang

Proc. ACM Manag. Data, 2023

Ground Truth Inference for Weakly Supervised Entity Matching.

Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He

Proc. ACM Manag. Data, 2023

DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data.

Peng Li, Zhiyi Chen, Xu Chu, Kexin Rong

Proc. ACM Manag. Data, 2023

Discovering Process-Based Drivers for Case-Level Outcome Explanation.

Peng Li, Hantian Zhang, Xu Chu, Alexander Seeliger, Cong Yu

Proceedings of the Process Mining Workshops, 2023

2022

A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling.

Renzhi Wu, Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu

ACM J. Data Inf. Qual., 2022

A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions.

Shuang Hao, Peng Li, Renzhi Wu, Xu Chu

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Demonstration of Panda: A Weakly Supervised Entity Matching System.

Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He

Proc. VLDB Endow., 2021

Learning to be a Statistician: Learned Estimator for Number of Distinct Values.

Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou

Proc. VLDB Endow., 2021

FairRover: explorative model building for fair and responsible machine learning.

Hantian Zhang, Nima Shahbazi, Xu Chu, Abolfazl Asudeh

Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, 2021

OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning.

Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples.

Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks.

Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

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

Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang

Proc. VLDB Endow., 2020

ZeroER: Entity Resolution using Zero Labeled Examples.

Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan

Proceedings of the 2020 International Conference on Management of Data, 2020

GOGGLES: Automatic Image Labeling with Affinity Coding.

Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

AutoER: Automated Entity Resolution using Generative Modelling.

Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan

CoRR, 2019

CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis].

Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang

CoRR, 2019

GOGGLES: Automatic Training Data Generation with Affinity Coding.

Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu

CoRR, 2019

PIClean: A Probabilistic and Interactive Data Cleaning System.

Zhuoran Yu, Xu Chu

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations.

Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek R. Narasayya, Surajit Chaudhuri

Proc. VLDB Endow., 2018

Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel.

Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri, Xu Chu, Yudian Zheng

Proceedings of the 2018 International Conference on Management of Data, 2018

2015

SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora.

Yeye He, Kris Ganjam, Xu Chu

Proc. VLDB Endow., 2015

TEGRA: Table Extraction by Global Record Alignment.

Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015