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ORCIDXu Chu 0002
Person information
- affiliation: Georgia Institute of Technology, GA, USA
Other persons with the same name
- Xu Chu (aka: Chu Xu) — disambiguation page
- Xu Chu 0001
![[0009-0002-3330-0037]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0002-3330-0037")
— Peking University School of Software and Microelectronics, Beijing, China
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2020 – today
- 2025
[c14]Lampros Flokas, Jeffery Cao, Yujian Xu, Eugene Wu, Xu Chu, Cong Yu:
Towards a Framework for Hierarchical Text Segmentation using Large Language Models. DEEM@SIGMOD 2025: 5:1-5:9- [c13]Jeffery Cao, Lampros Flokas, Yujian Xu, Eugene Wu, Xu Chu, Cong Yu:
Prompt Editor: A Taxonomy-driven System for Guided LLM Prompt Development in Enterprise Settings. SIGMOD Conference Companion 2025: 59-62 - [c12]Faiza Allah Bukhsh, Paolo Ceravolo, Xu Chu, Samira Maghool, Eugene Wu, Cong Yu:
LLM-DPM - Workshop on Large Language Models for Data Process Management. SIGMOD Conference Companion 2025: 872-873 - 2024
- [j12]Renzhi Wu, Pramod Chunduri, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong:
SketchQL: Video Moment Querying with a Visual Query Interface. Proc. ACM Manag. Data 2(4): 204:1-204:27 (2024) - [j11]Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong:
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches. Proc. VLDB Endow. 17(12): 4429-4432 (2024) - [i12]Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong:
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches. CoRR abs/2405.18334 (2024) - 2023
- [j10]Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang:
iFlipper: Label Flipping for Individual Fairness. Proc. ACM Manag. Data 1(1): 8:1-8:26 (2023) - [j9]Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He:
Ground Truth Inference for Weakly Supervised Entity Matching. Proc. ACM Manag. Data 1(1): 32:1-32:28 (2023) - [j8]Peng Li, Zhiyi Chen, Xu Chu, Kexin Rong:
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data. Proc. ACM Manag. Data 1(2): 183:1-183:26 (2023) - [j7]Andrea De Angelis, Maurizio Mazzei, Federico Piai, Paolo Merialdo, Giovanni Simonini, Luca Zecchini, Sonia Bergamaschi, Donatella Firmani, Xu Chu, Peng Li, Renzhi Wu:
Experiences and Lessons Learned from the SIGMOD Entity Resolution Programming Contests. SIGMOD Rec. 52(2): 43-47 (2023) - [c11]Peng Li, Hantian Zhang, Xu Chu, Alexander Seeliger, Cong Yu:
Discovering Process-Based Drivers for Case-Level Outcome Explanation. ICPM Workshops 2023: 165-178 - [i11]Peng Li, Zhiyi Chen, Xu Chu, Kexin Rong:
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data. CoRR abs/2308.10915 (2023) - 2022
- [j6]Renzhi Wu, Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu:
A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling. ACM J. Data Inf. Qual. 14(3): 15:1-15:23 (2022) - [c10]Shuang Hao, Peng Li, Renzhi Wu, Xu Chu:
A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions. ICDE 2022: 1219-1231 - [i10]Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou:
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. CoRR abs/2202.02800 (2022) - [i9]Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang:
iFlipper: Label Flipping for Individual Fairness. CoRR abs/2209.07047 (2022) - [i8]Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He:
Ground Truth Inference for Weakly Supervised Entity Matching. CoRR abs/2211.06975 (2022) - 2021
- [j5]Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He:
Demonstration of Panda: A Weakly Supervised Entity Matching System. Proc. VLDB Endow. 14(12): 2735-2738 (2021) - [j4]Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou:
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. Proc. VLDB Endow. 15(2): 272-284 (2021) - [c9]Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang:
CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks. ICDE 2021: 13-24 - [c8]Hantian Zhang, Nima Shahbazi, Xu Chu, Abolfazl Asudeh:
FairRover: explorative model building for fair and responsible machine learning. DEEM@SIGMOD 2021: 5:1-5:10 - [c7]Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri:
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. SIGMOD Conference 2021: 1064-1076 - [c6]Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe:
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. SIGMOD Conference 2021: 2076-2088 - [i7]Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri:
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. CoRR abs/2103.04489 (2021) - [i6]Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe:
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. CoRR abs/2103.09055 (2021) - [i5]Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He:
Demonstration of Panda: A Weakly Supervised Entity Matching System. CoRR abs/2106.10821 (2021) - 2020
- [j3]Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang:
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. Proc. VLDB Endow. 14(3): 255-267 (2020) - [c5]Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan:
ZeroER: Entity Resolution using Zero Labeled Examples. SIGMOD Conference 2020: 1149-1164 - [c4]Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu:
GOGGLES: Automatic Image Labeling with Affinity Coding. SIGMOD Conference 2020: 1717-1732 - [i4]Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang:
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. CoRR abs/2005.05117 (2020)
2010 – 2019
- 2019
- [c3]Zhuoran Yu, Xu Chu:
PIClean: A Probabilistic and Interactive Data Cleaning System. SIGMOD Conference 2019: 2021-2024 - [i3]Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu:
GOGGLES: Automatic Training Data Generation with Affinity Coding. CoRR abs/1903.04552 (2019) - [i2]Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang:
CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis]. CoRR abs/1904.09483 (2019) - [i1]Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan:
AutoER: Automated Entity Resolution using Generative Modelling. CoRR abs/1908.06049 (2019) - 2018
- [j2]Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek R. Narasayya, Surajit Chaudhuri:
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations. Proc. VLDB Endow. 11(10): 1165-1177 (2018) - [c2]Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri, Xu Chu, Yudian Zheng:
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel. SIGMOD Conference 2018: 1785-1788 - 2015
- [j1]Yeye He, Kris Ganjam, Xu Chu:
SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora. Proc. VLDB Endow. 8(12): 1358-1369 (2015) - [c1]Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam:
TEGRA: Table Extraction by Global Record Alignment. SIGMOD Conference 2015: 1713-1728
Coauthor Index
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