Peng Li

According to our database, Peng Li authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

Auto-Tables: Relationalize Tables without Using Examples.

Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri

SIGMOD Rec., March, 2024

Cleaning and Learning Over Dirty Tabular Data.

Peng Li

PhD thesis, 2024

Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks.

Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri

Proc. ACM Manag. Data, 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

Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples.

Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri

Proc. VLDB Endow., 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

Table-GPT: Table-tuned GPT for Diverse Table Tasks.

Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri

CoRR, 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 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

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

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

2018

Improving Service Availability of Cloud Systems by Predicting Disk Error.

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

Proceedings of the 2018 USENIX Annual Technical Conference, 2018