Improving Service Availability of Cloud Systems by Predicting Disk Error. - Yong Xu 010; Kaixin Sui; Randolph Yao; Hongyu Zhang 002; Qingwei Lin; Yingnong Dang; Peng Li 062; Keceng Jiang; Wenchi Zhang; Jian-Guang Lou; Murali Chintalapati; Dongmei Zhang 001 (USENIX ATC, 2018)

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)

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)

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)

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)

Table-GPT: Table-tuned GPT for Diverse Table Tasks. - Peng Li 062; Yeye He; Dror Yashar; Weiwei Cui 001; Song Ge; Haidong Zhang; Danielle Rifinski Fainman; Dongmei Zhang 001; Surajit Chaudhuri (CoRR, 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)

Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples. - Peng Li 062; Yeye He; Cong Yan; Yue Wang 070; Surajit Chaudhuri (Proc. VLDB Endow., 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)

Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks. - Peng Li 062; Yeye He; Dror Yashar; Weiwei Cui 001; Song Ge; Haidong Zhang; Danielle Rifinski Fainman; Dongmei Zhang 001; Surajit Chaudhuri (Proc. ACM Manag. Data, 2024)

Cleaning and Learning Over Dirty Tabular Data. - Peng Li 062 (2024)

Auto-Tables: Relationalize Tables without Using Examples. - Peng Li 062; Yeye He; Cong Yan; Yue Wang 070; Surajit Chaudhuri (SIGMOD Rec., 2024)