Peng Li

21 papers A* 2Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Auto-tables: synthesizing multi-step transformations to relationalize tables without using examples.
VLDB J.
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
2024 J jnl
Auto-Tables: Relationalize Tables without Using Examples.
SIGMOD Rec.
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
2024 — —
Cleaning and Learning Over Dirty Tabular Data.
Peng Li
2024 J jnl
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks.
Proc. ACM Manag. Data
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
2023 J jnl
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples.
CoRR
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
2023 J jnl
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples.
Proc. VLDB Endow.
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
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
Table-GPT: Table-tuned GPT for Diverse Table Tasks.
CoRR
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
2022 A* conf
A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions.
ICDE
Shuang Hao, Peng Li, Renzhi Wu, Xu Chu
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
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
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
2018 — conf
Improving Service Availability of Cloud Systems by Predicting Disk Error.
USENIX ATC
Yong Xu, Kaixin Sui, Randolph Yao, Hongyu Zhang, Qingwei Lin, Yingnong Dang, Peng Li, Keceng Jiang, Wenchi Zhang, Jian-Guang Lou, Murali Chintalapati, Dongmei Zhang