Xu Chu

38 papers A* 2Journal 24Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
LLM-DPM - Workshop on Large Language Models for Data Process Management.
SIGMOD Conference Companion
Faiza Allah Bukhsh, Paolo Ceravolo, Xu Chu, Samira Maghool, Eugene Wu, Cong Yu
2025 — conf
Prompt Editor: A Taxonomy-driven System for Guided LLM Prompt Development in Enterprise Settings.
SIGMOD Conference Companion
Jeffery Cao, Lampros Flokas, Yujian Xu, Eugene Wu, Xu Chu, Cong Yu
2025 — conf
Towards a Framework for Hierarchical Text Segmentation using Large Language Models.
DEEM@SIGMOD
Lampros Flokas, Jeffery Cao, Yujian Xu, Eugene Wu, Xu Chu, Cong Yu
2024 J jnl
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches.
CoRR
Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong
2024 J jnl
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches.
Proc. VLDB Endow.
Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong
2024 J jnl
SketchQL: Video Moment Querying with a Visual Query Interface.
Proc. ACM Manag. Data
Renzhi Wu, Pramod Chunduri, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong
2023 J jnl
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data.
CoRR
Peng Li, Zhiyi Chen, Xu Chu, Kexin Rong
2023 J jnl
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data.
Proc. ACM Manag. Data
Peng Li, Zhiyi Chen, Xu Chu, Kexin Rong
2023 — conf
Discovering Process-Based Drivers for Case-Level Outcome Explanation.
ICPM Workshops
Peng Li, Hantian Zhang, Xu Chu, Alexander Seeliger, Cong Yu
2023 J jnl
Experiences and Lessons Learned from the SIGMOD Entity Resolution Programming Contests.
SIGMOD Rec.
Andrea De Angelis, Maurizio Mazzei, Federico Piai, Paolo Merialdo, Giovanni Simonini, Luca Zecchini, Sonia Bergamaschi, Donatella Firmani, Xu Chu, Peng Li, Renzhi Wu
2023 J jnl
Ground Truth Inference for Weakly Supervised Entity Matching.
Proc. ACM Manag. Data
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He
2023 J jnl
iFlipper: Label Flipping for Individual Fairness.
Proc. ACM Manag. Data
Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang
2022 J jnl
A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling.
ACM J. Data Inf. Qual.
Renzhi Wu, Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu
2022 A* conf
A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions.
ICDE
Shuang Hao, Peng Li, Renzhi Wu, Xu Chu
2022 J jnl
Ground Truth Inference for Weakly Supervised Entity Matching.
CoRR
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He
2022 J jnl
Learning to be a Statistician: Learned Estimator for Number of Distinct Values.
CoRR
Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou
2022 J jnl
iFlipper: Label Flipping for Individual Fairness.
CoRR
Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang
2021 — conf
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples.
SIGMOD Conference
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
2021 J jnl
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples.
CoRR
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
2021 A* conf
CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks.
ICDE
Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang
2021 J jnl
Demonstration of Panda: A Weakly Supervised Entity Matching System.
CoRR
Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He
2021 J jnl
Demonstration of Panda: A Weakly Supervised Entity Matching System.
Proc. VLDB Endow.
Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He
2021 — conf
FairRover: explorative model building for fair and responsible machine learning.
DEEM@SIGMOD
Hantian Zhang, Nima Shahbazi, Xu Chu, Abolfazl Asudeh
2021 J jnl
Learning to be a Statistician: Learned Estimator for Number of Distinct Values.
Proc. VLDB Endow.
Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou
2021 — conf
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning.
SIGMOD Conference
Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe
2021 J jnl
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning.
CoRR
Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe
2020 — conf
GOGGLES: Automatic Image Labeling with Affinity Coding.
SIGMOD Conference
Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu
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 — conf
ZeroER: Entity Resolution using Zero Labeled Examples.
SIGMOD Conference
Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan
2019 J jnl
AutoER: Automated Entity Resolution using Generative Modelling.
CoRR
Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan
2019 J jnl
CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis].
CoRR
Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang
2019 J jnl
GOGGLES: Automatic Training Data Generation with Affinity Coding.
CoRR
Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu
2019 — conf
PIClean: A Probabilistic and Interactive Data Cleaning System.
SIGMOD Conference
Zhuoran Yu, Xu Chu
2018 J jnl
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations.
Proc. VLDB Endow.
Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek R. Narasayya, Surajit Chaudhuri
2018 — conf
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel.
SIGMOD Conference
Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri, Xu Chu, Yudian Zheng
2015 J jnl
SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora.
Proc. VLDB Endow.
Yeye He, Kris Ganjam, Xu Chu
2015 — conf
TEGRA: Table Extraction by Global Record Alignment.
SIGMOD Conference
Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam