Chengliang Chai

Orcid: 0000-0001-8080-5594

Affiliations:

Tsinghua University, China

According to our database¹, Chengliang Chai authored at least 56 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

MisDetect: Iterative Mislabel Detection using Early Loss.

[BibT_eX]

[DOI]

Proc. VLDB Endow., February, 2024

Cardinality estimation using normalizing flow.

[BibT_eX]

[DOI]

VLDB J., 2024

2023

An enhanced Elo-based student model for polychotomously scored items in adaptive educational system.

[BibT_eX]

[DOI]

Interact. Learn. Environ., December, 2023

HOFD: An Outdated Fact Detector for Knowledge Bases.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2023

Data Management for Machine Learning: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2023

Learned Data-aware Image Representations of Line Charts for Similarity Search.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2023

HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2023

GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2023

Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration.

[BibT_eX]

[DOI]

CoRR, 2023

Demystifying Artificial Intelligence for Data Preparation.

[BibT_eX]

[DOI]

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Efficient Coreset Selection with Cluster-based Methods.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Database Meets Artificial Intelligence: A Survey (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

AutoCE: An Accurate and Efficient Model Advisor for Learned Cardinality Estimation.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Topic-Aware Data Generation Framework for Math Word Problems.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2023

2022

RNE: computing shortest paths using road network embedding.

[BibT_eX]

[DOI]

VLDB J., 2022

Interactively discovering and ranking desired tuples by data exploration.

[BibT_eX]

[DOI]

VLDB J., 2022

Natural Language to Visualization by Neural Machine Translation.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2022

Database Meets Artificial Intelligence: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Steerable Self-Driving Data Visualization.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

DADER: Hands-Off Entity Resolution with Domain Adaptation.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Selective Data Acquisition in the Wild for Model Charging.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Preface.

[BibT_eX]

[DOI]

Guoliang Li

Nan Tang

Chengliang Chai

J. Comput. Sci. Technol., 2022

AlphaQO: Robust Learned Query Optimizer.

[BibT_eX]

[DOI]

Int. J. Softw. Informatics, 2022

LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Domain Adaptation for Deep Entity Resolution.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Synthesizing Privacy Preserving Entity Resolution Datasets.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Feature Augmentation with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

RW-Tree: A Learned Workload-aware Framework for R-tree Construction.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Learned Query Optimizer: At the Forefront of AI-Driven Databases.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Extending Database Technology, 2022

2021

CrowdChart: Crowdsourced Data Extraction From Visualization Charts.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

A Learned Query Rewrite System using Monte Carlo Tree Search.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

FACE: A Normalizing Flow based Cardinality Estimator.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

Automatic Data Acquisition for Deep Learning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

A Tree-Based Indexing Approach for Diverse Textual Similarity Search.

[BibT_eX]

[DOI]

Minghe Yu

Chengliang Chai

Ge Yu

IEEE Access, 2021

Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Ranking Desired Tuples by Database Exploration.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

VisClean: Interactive Cleaning for Progressive Visualization.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

Human-in-the-loop Techniques in Machine Learning.

[BibT_eX]

[DOI]

Chengliang Chai

Guoliang Li

IEEE Data Eng. Bull., 2020

Interactively Discovering and Ranking Desired Tuples without Writing SQL Queries.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Conference on Management of Data, 2020

Human-in-the-loop Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Conference on Management of Data, 2020

Reinforcement Learning with Tree-LSTM for Join Order Selection.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Interactive Cleaning for Progressive Visualization through Composite Questions.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Outdated Fact Detection in Knowledge Bases.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Crowdsourcing-based Data Extraction from Visualization Charts.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Manually Detecting Errors for Data Cleaning Using Adaptive Crowdsourcing Strategies.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

2019

AnalyticDB: Real-time OLAP Database System at Alibaba Cloud.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

Towards Automatic Mathematical Exercise Solving.

[BibT_eX]

[DOI]

Data Sci. Eng., 2019

Crowdsourcing Database Systems: Overview and Challenges.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

A partial-order-based framework for cost-effective crowdsourced entity resolution.

[BibT_eX]

[DOI]

VLDB J., 2018

CDB: A Crowd-Powered Database System.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

Crowd-Powered Data Mining.

[BibT_eX]

[DOI]

CoRR, 2018

Incentive-Based Entity Collection Using Crowdsourcing.

[BibT_eX]

[DOI]

Chengliang Chai

Ju Fan

Guoliang Li

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

CDB: Optimizing Queries with Crowd-Based Selections and Joins.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016

Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Management of Data, 2016

Chengliang Chai

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