TEGRA: Table Extraction by Global Record Alignment. - Xu Chu 002; Yeye He; Kaushik Chakrabarti; Kris Ganjam (SIGMOD Conference, 2015)

SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora. - Yeye He; Kris Ganjam; Xu Chu 002 (Proc. VLDB Endow., 2015)

Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel. - Yeye He; Kris Ganjam; Kukjin Lee; Yue Wang 070; Vivek R. Narasayya; Surajit Chaudhuri; Xu Chu 002; Yudian Zheng (SIGMOD Conference, 2018)

Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations. - Yeye He; Xu Chu 002; Kris Ganjam; Yudian Zheng; Vivek R. Narasayya; Surajit Chaudhuri (Proc. VLDB Endow., 2018)

PIClean: A Probabilistic and Interactive Data Cleaning System. - Zhuoran Yu; Xu Chu 002 (SIGMOD Conference, 2019)

GOGGLES: Automatic Training Data Generation with Affinity Coding. - Nilaksh Das; Sanya Chaba; Sakshi Gandhi; Duen Horng Chau; Xu Chu 002 (CoRR, 2019)

CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis]. - Peng Li 062; Xi Rao; Jennifer Blase; Yue Zhang; Xu Chu 002; Ce Zhang 001 (CoRR, 2019)

AutoER: Automated Entity Resolution using Generative Modelling. - Renzhi Wu; Sanya Chaba; Saurabh Sawlani; Xu Chu 002; Saravanan Thirumuruganathan (CoRR, 2019)

GOGGLES: Automatic Image Labeling with Affinity Coding. - Nilaksh Das; Sanya Chaba; Renzhi Wu; Sakshi Gandhi; Duen Horng Chau; Xu Chu 002 (SIGMOD Conference, 2020)

ZeroER: Entity Resolution using Zero Labeled Examples. - Renzhi Wu; Sanya Chaba; Saurabh Sawlani; Xu Chu 002; Saravanan Thirumuruganathan (SIGMOD Conference, 2020)

Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. - Bojan Karlas; Peng Li 062; Renzhi Wu; Nezihe Merve Gürel; Xu Chu 002; Wentao Wu 001; Ce Zhang 001 (Proc. VLDB Endow., 2020)

CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks. - Peng Li 062; Xi Rao; Jennifer Blase; Yue Zhang; Xu Chu 002; Ce Zhang 001 (ICDE, 2021)

Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. - Peng Li 062; Xiang Cheng; Xu Chu 002; Yeye He; Surajit Chaudhuri (SIGMOD Conference, 2021)

OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. - Hantian Zhang; Xu Chu 002; Abolfazl Asudeh; Shamkant B. Navathe (SIGMOD Conference, 2021)

FairRover: explorative model building for fair and responsible machine learning. - Hantian Zhang; Nima Shahbazi; Xu Chu 002; Abolfazl Asudeh (DEEM@SIGMOD, 2021)

Learning to be a Statistician: Learned Estimator for Number of Distinct Values. - Renzhi Wu; Bolin Ding; Xu Chu 002; Zhewei Wei; Xiening Dai; Tao Guan; Jingren Zhou 001 (Proc. VLDB Endow., 2021)

Demonstration of Panda: A Weakly Supervised Entity Matching System. - Renzhi Wu; Prem Sakala; Peng Li 062; Xu Chu 002; Yeye He (Proc. VLDB Endow., 2021)

A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions. - Shuang Hao 002; Peng Li 062; Renzhi Wu; Xu Chu 002 (ICDE, 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 002 (ACM J. Data Inf. Qual., 2022)

Discovering Process-Based Drivers for Case-Level Outcome Explanation. - Peng Li 062; Hantian Zhang; Xu Chu 002; Alexander Seeliger; Cong Yu 001 (ICPM Workshops, 2023)

DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data. - Peng Li 062; Zhiyi Chen; Xu Chu 002; Kexin Rong 001 (Proc. ACM Manag. Data, 2023)

Ground Truth Inference for Weakly Supervised Entity Matching. - Renzhi Wu; Alexander Bendeck; Xu Chu 002; Yeye He (Proc. ACM Manag. Data, 2023)

iFlipper: Label Flipping for Individual Fairness. - Hantian Zhang; Ki Hyun Tae; Jaeyoung Park 003; Xu Chu 002; Steven Euijong Whang (Proc. ACM Manag. Data, 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 002; Peng Li 062; Renzhi Wu (SIGMOD Rec., 2023)

SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches. - Renzhi Wu; Pramod Chunduri; Dristi J. Shah; Ashmitha Julius Aravind; Ali Payani; Xu Chu 002; Joy Arulraj; Kexin Rong 001 (Proc. VLDB Endow., 2024)

SketchQL: Video Moment Querying with a Visual Query Interface. - Renzhi Wu; Pramod Chunduri; Ali Payani; Xu Chu 002; Joy Arulraj; Kexin Rong 001 (Proc. ACM Manag. Data, 2024)

Towards a Framework for Hierarchical Text Segmentation using Large Language Models. - Lampros Flokas; Jeffery Cao; Yujian Xu; Eugene Wu 002; Xu Chu 002; Cong Yu 001 (DEEM@SIGMOD, 2025)

LLM-DPM - Workshop on Large Language Models for Data Process Management. - Faiza Allah Bukhsh; Paolo Ceravolo; Xu Chu 002; Samira Maghool; Eugene Wu 002; Cong Yu 001 (SIGMOD Conference Companion, 2025)

Prompt Editor: A Taxonomy-driven System for Guided LLM Prompt Development in Enterprise Settings. - Jeffery Cao; Lampros Flokas; Yujian Xu; Eugene Wu 002; Xu Chu 002; Cong Yu 001 (SIGMOD Conference Companion, 2025)