Chengliang Chai

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 66

Top Topics

Natural Language

Query Optimizer

Entity Resolution

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

IEEE Trans. Knowl. Data Eng.

Publications

Yuhao Deng, Deng Qiyan, Chengliang Chai, Lei Cao, Nan Tang, Ju Fan, Jiayi Wang, Ye Yuan, Guoren Wang
IDE: A System for Iterative Mislabel Detection. SIGMOD Conference Companion (2024)
Jintao Zhang, Chao Zhang, Guoliang Li, Chengliang Chai
PACE: Poisoning Attacks on Learned Cardinality Estimation. Proc. ACM Manag. Data 2 (1) (2024)
Meihao Fan, Xiaoyue Han, Ju Fan, Chengliang Chai, Nan Tang, Guoliang Li, Xiaoyong Du
Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration. ICDE (2024)
Meihui Zhang, Zhaoxuan Ji, Zhaojing Luo, Yuncheng Wu, Chengliang Chai
Applications and Challenges for Large Language Models: From Data Management Perspective. ICDE (2024)
Jiayi Wang, Chengliang Chai, Jiabin Liu, Guoliang Li
Cardinality estimation using normalizing flow. VLDB J. 33 (2) (2024)
Boyan Li, Yuyu Luo, Chengliang Chai, Guoliang Li, Nan Tang
The Dawn of Natural Language to SQL: Are We Fully Ready? CoRR (2024)
Jiyun Shi, Yuqiao Wang, Chi Zhang, Zhaojing Luo, Chengliang Chai, Meihui Zhang
DMRNet: Effective Network for Accurate Discharge Medication Recommendation. ICDE (2024)
Yuhao Deng, Chengliang Chai, Lei Cao, Qin Yuan, Siyuan Chen, Yanrui Yu, Zhaoze Sun, Junyi Wang, Jiajun Li, Ziqi Cao, Kaisen Jin, Chi Zhang, Yuqing Jiang, Yuanfang Zhang, Yuping Wang, Ye Yuan, Guoren Wang, Nan Tang
LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes. Proc. VLDB Endow. 17 (8) (2024)
Xin Tang, Chengliang Chai, Dawei Zhao, Haohai Ma, Yong Zheng, Zhenyong Fan, Xin Wu, Jiaquan Zhang, Rui Zhang, Duanshun Li, Yi He, Keji Huang, Guangbin Meng, Yidong Wang, Yuefeng Zhou, Tao Tao, Lirong Jian, Jiwu Shu, Yuping Wang, Ye Yuan, Guoren Wang, Guoliang Li
Separation Is for Better Reunion: Data Lake Storage at Huawei. ICDE (2024)
Peng Huang, Meihui Zhang, Ziyue Zhong, Chengliang Chai, Ju Fan
Representation Learning for Entity Alignment in Knowledge Graph: A Design Space Exploration. ICDE (2024)
Chengliang Chai, Kaisen Jin, Nan Tang, Ju Fan, Lianpeng Qiao, Yuping Wang, Yuyu Luo, Ye Yuan, Guoren Wang
Mitigating Data Scarcity in Supervised Machine Learning Through Reinforcement Learning Guided Data Generation. ICDE (2024)
Yuhao Deng, Chengliang Chai, Lei Cao, Nan Tang, Jiayi Wang, Ju Fan, Ye Yuan, Guoren Wang
MisDetect: Iterative Mislabel Detection using Early Loss. Proc. VLDB Endow. 17 (6) (2024)
Yuyu Luo, Yihui Zhou, Nan Tang, Guoliang Li, Chengliang Chai, Leixian Shen
Learned Data-aware Image Representations of Line Charts for Similarity Search. Proc. ACM Manag. Data 1 (1) (2023)
Tianyu Zhao, Chengliang Chai, Jiabin Liu, Guoliang Li, Jianhua Feng, Zitao Liu
A Topic-Aware Data Generation Framework for Math Word Problems. DASFAA (4) (2023)
Xuanhe Zhou, Chengliang Chai, Guoliang Li, Ji Sun
Database Meets Artificial Intelligence: A Survey (Extended Abstract). ICDE (2023)
Bingxue Zhang, Yang Shi, Yuxing Li, Chengliang Chai, Longfeng Hou
An enhanced Elo-based student model for polychotomously scored items in adaptive educational system. Interact. Learn. Environ. 31 (9) (2023)
Chengliang Chai, Nan Tang, Ju Fan, Yuyu Luo
Demystifying Artificial Intelligence for Data Preparation. SIGMOD Conference Companion (2023)
Shuang Hao, Chengliang Chai, Guoliang Li, Nan Tang, Ning Wang, Xiang Yu
HOFD: An Outdated Fact Detector for Knowledge Bases. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Meihao Fan, Xiaoyue Han, Ju Fan, Chengliang Chai, Nan Tang, Guoliang Li, Xiaoyong Du
Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration. CoRR (2023)
Chengliang Chai, Jiayi Wang, Yuyu Luo, Zeping Niu, Guoliang Li
Data Management for Machine Learning: A Survey. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Sibei Chen, Nan Tang, Ju Fan, Xuemi Yan, Chengliang Chai, Guoliang Li, Xiaoyong Du
HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation. Proc. ACM Manag. Data 1 (1) (2023)
Chengliang Chai, Jiabin Liu, Nan Tang, Ju Fan, Dongjing Miao, Jiayi Wang, Yuyu Luo, Guoliang Li
GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data. Proc. ACM Manag. Data 1 (2) (2023)
Jintao Zhang, Chao Zhang, Guoliang Li, Chengliang Chai
AutoCE: An Accurate and Efficient Model Advisor for Learned Cardinality Estimation. ICDE (2023)
Chengliang Chai, Jiayi Wang, Nan Tang, Ye Yuan, Jiabin Liu, Yuhao Deng, Guoren Wang
Efficient Coreset Selection with Cluster-based Methods. KDD (2023)
Haowen Dong, Chengliang Chai, Yuyu Luo, Jiabin Liu, Jianhua Feng, Chaoqun Zhan
RW-Tree: A Learned Workload-aware Framework for R-tree Construction. ICDE (2022)
Guoliang Li, Nan Tang, Chengliang Chai
Preface. J. Comput. Sci. Technol. 37 (5) (2022)
Xiang Yu, Chengliang Chai, Guoliang Li, Jiabin Liu
Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection. Proc. VLDB Endow. 15 (13) (2022)
Lixi Zhang, Chengliang Chai, Xuanhe Zhou, Guoliang Li
LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning. SIGMOD Conference (2022)
Chengliang Chai, Jiabin Liu, Nan Tang, Guoliang Li, Yuyu Luo
Selective Data Acquisition in the Wild for Model Charging. Proc. VLDB Endow. 15 (7) (2022)
Jianhong Tu, Ju Fan, Nan Tang, Peng Wang, Chengliang Chai, Guoliang Li, Ruixue Fan, Xiaoyong Du
Domain Adaptation for Deep Entity Resolution. SIGMOD Conference (2022)
Jiabin Liu, Chengliang Chai, Yuyu Luo, Yin Lou, Jianhua Feng, Nan Tang
Feature Augmentation with Reinforcement Learning. ICDE (2022)
Jiayi Wang, Chengliang Chai, Nan Tang, Jiabin Liu, Guoliang Li
Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning. Proc. VLDB Endow. 16 (1) (2022)
Tianyu Zhao, Shuai Huang, Yong Wang, Chengliang Chai, Guoliang Li
RNE: computing shortest paths using road network embedding. VLDB J. 31 (3) (2022)
Rong Zhu, Ziniu Wu, Chengliang Chai, Andreas Pfadler, Bolin Ding, Guoliang Li, Jingren Zhou
Learned Query Optimizer: At the Forefront of AI-Driven Databases. EDBT (2022)
Yuyu Luo, Xuedi Qin, Chengliang Chai, Nan Tang, Guoliang Li, Wenbo Li
Steerable Self-Driving Data Visualization. IEEE Trans. Knowl. Data Eng. 34 (1) (2022)
Yuyu Luo, Nan Tang, Guoliang Li, Jiawei Tang, Chengliang Chai, Xuedi Qin
Natural Language to Visualization by Neural Machine Translation. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Xiang Yu, Chengliang Chai, Xinning Zhang, Nan Tang, Ji Sun, Guoliang Li
AlphaQO: Robust Learned Query Optimizer. Int. J. Softw. Informatics 12 (1) (2022)
Jianhong Tu, Xiaoyue Han, Ju Fan, Nan Tang, Chengliang Chai, Guoliang Li, Xiaoyong Du
DADER: Hands-Off Entity Resolution with Domain Adaptation. Proc. VLDB Endow. 15 (12) (2022)
Xuanhe Zhou, Chengliang Chai, Guoliang Li, Ji Sun
Database Meets Artificial Intelligence: A Survey. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Xuedi Qin, Chengliang Chai, Yuyu Luo, Tianyu Zhao, Nan Tang, Guoliang Li, Jianhua Feng, Xiang Yu, Mourad Ouzzani
Interactively discovering and ranking desired tuples by data exploration. VLDB J. 31 (4) (2022)
Xuedi Qin, Chengliang Chai, Nan Tang, Jian Li, Yuyu Luo, Guoliang Li, Yaoyu Zhu
Synthesizing Privacy Preserving Entity Resolution Datasets. ICDE (2022)
Xuanhe Zhou, Guoliang Li, Chengliang Chai, Jianhua Feng
A Learned Query Rewrite System using Monte Carlo Tree Search. Proc. VLDB Endow. 15 (1) (2021)
Xuedi Qin, Chengliang Chai, Yuyu Luo, Tianyu Zhao, Nan Tang, Guoliang Li, Jianhua Feng, Xiang Yu, Mourad Ouzzani
Ranking Desired Tuples by Database Exploration. ICDE (2021)
Minghe Yu, Chengliang Chai, Ge Yu
A Tree-Based Indexing Approach for Diverse Textual Similarity Search. IEEE Access 9 (2021)
Jiabin Liu, Fu Zhu, Chengliang Chai, Yuyu Luo, Nan Tang
Automatic Data Acquisition for Deep Learning. Proc. VLDB Endow. 14 (12) (2021)
Chengliang Chai, Guoliang Li, Ju Fan, Yuyu Luo
CrowdChart: Crowdsourced Data Extraction From Visualization Charts. IEEE Trans. Knowl. Data Eng. 33 (11) (2021)
Jiayi Wang, Chengliang Chai, Jiabin Liu, Guoliang Li
FACE: A Normalizing Flow based Cardinality Estimator. Proc. VLDB Endow. 15 (1) (2021)
Yuyu Luo, Nan Tang, Guoliang Li, Chengliang Chai, Wenbo Li, Xuedi Qin
Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks. SIGMOD Conference (2021)
Xuedi Qin, Chengliang Chai, Yuyu Luo, Nan Tang, Guoliang Li
Interactively Discovering and Ranking Desired Tuples without Writing SQL Queries. SIGMOD Conference (2020)
Chengliang Chai, Guoliang Li, Ju Fan, Yuyu Luo
Crowdsourcing-based Data Extraction from Visualization Charts. ICDE (2020)
Shuang Hao, Chengliang Chai, Guoliang Li, Nan Tang, Ning Wang, Xiang Yu
Outdated Fact Detection in Knowledge Bases. ICDE (2020)
Haojun Zhang, Chengliang Chai, AnHai Doan, Paris Koutris, Esteban Arcaute
Manually Detecting Errors for Data Cleaning Using Adaptive Crowdsourcing Strategies. EDBT (2020)
Yuyu Luo, Chengliang Chai, Xuedi Qin, Nan Tang, Guoliang Li
VisClean: Interactive Cleaning for Progressive Visualization. Proc. VLDB Endow. 13 (12) (2020)
Chengliang Chai, Lei Cao, Guoliang Li, Jian Li, Yuyu Luo, Samuel Madden
Human-in-the-loop Outlier Detection. SIGMOD Conference (2020)
Chengliang Chai, Guoliang Li
Human-in-the-loop Techniques in Machine Learning. IEEE Data Eng. Bull. 43 (3) (2020)
Yuyu Luo, Chengliang Chai, Xuedi Qin, Nan Tang, Guoliang Li
Interactive Cleaning for Progressive Visualization through Composite Questions. ICDE (2020)
Xiang Yu, Guoliang Li, Chengliang Chai, Nan Tang
Reinforcement Learning with Tree-LSTM for Join Order Selection. ICDE (2020)
Tianyu Zhao, Chengliang Chai, Yuyu Luo, Jianhua Feng, Yan Huang, Songfan Yang, Haitao Yuan, Haoda Li, Kaiyu Li, Fu Zhu, Kang Pan
Towards Automatic Mathematical Exercise Solving. Data Sci. Eng. 4 (3) (2019)
Chengliang Chai, Ju Fan, Guoliang Li, Jiannan Wang, Yudian Zheng
Crowdsourcing Database Systems: Overview and Challenges. ICDE (2019)
Chaoqun Zhan, Maomeng Su, Chuangxian Wei, Xiaoqiang Peng, Liang Lin, Sheng Wang, Zhe Chen, Feifei Li, Yue Pan, Fang Zheng, Chengliang Chai
AnalyticDB: Real-time OLAP Database System at Alibaba Cloud. Proc. VLDB Endow. 12 (12) (2019)
Chengliang Chai, Ju Fan, Guoliang Li, Jiannan Wang, Yudian Zheng
Crowd-Powered Data Mining. CoRR (2018)
Chengliang Chai, Guoliang Li, Jian Li, Dong Deng, Jianhua Feng
A partial-order-based framework for cost-effective crowdsourced entity resolution. VLDB J. 27 (6) (2018)
Chengliang Chai, Ju Fan, Guoliang Li
Incentive-Based Entity Collection Using Crowdsourcing. ICDE (2018)
Guoliang Li, Chengliang Chai, Ju Fan, Xueping Weng, Jian Li, Yudian Zheng, Yuanbing Li, Xiang Yu, Xiaohang Zhang, Haitao Yuan
CDB: A Crowd-Powered Database System. Proc. VLDB Endow. 11 (12) (2018)
Guoliang Li, Chengliang Chai, Ju Fan, Xueping Weng, Jian Li, Yudian Zheng, Yuanbing Li, Xiang Yu, Xiaohang Zhang, Haitao Yuan
CDB: Optimizing Queries with Crowd-Based Selections and Joins. SIGMOD Conference (2017)
Chengliang Chai, Guoliang Li, Jian Li, Dong Deng, Jianhua Feng
Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach. SIGMOD Conference (2016)