Chengliang Chai

Research output

Research output per year 2016 2020 2022 2024 2024

• 29 Conference contribution
• 15 Article
• 15 Conference article
• 1 Editorial
• 1 More
  • 1 Review article

Research output per year

Research output per year

Search results

• 2024

  Applications and Challenges for Large Language Models: From Data Management Perspective

  Zhang, M., Ji, Z., Luo, Z., Wu, Y. & Chai, C., 2024, Proceedings - 2024 IEEE 40th International Conference on Data Engineering, ICDE 2024. IEEE Computer Society, p. 5530-5541 12 p. (Proceedings - International Conference on Data Engineering).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Data Management 100%
  • Large Language Model 100%
  • Decision-Making 25%
  • Information Retrieval 25%
  • Big Data 25%

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

  Fan, M., Han, X., Fan, J., Chai, C., Tang, N., Li, G. & Du, X., 2024, Proceedings - 2024 IEEE 40th International Conference on Data Engineering, ICDE 2024. IEEE Computer Society, p. 3696-3709 14 p. (Proceedings - International Conference on Data Engineering).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

• DMRNet: Effective Network for Accurate Discharge Medication Recommendation

  Shi, J., Wang, Y., Zhang, C., Luo, Z., Chai, C. & Zhang, M., 2024, Proceedings - 2024 IEEE 40th International Conference on Data Engineering, ICDE 2024. IEEE Computer Society, p. 3393-3406 14 p. (Proceedings - International Conference on Data Engineering).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Drug-Drug Interaction 100%
  • Medical History 100%
  • Information Visit 100%

• IDE: A System for Iterative Mislabel Detection

  Deng, Y., Qiyan, D., Chai, C., Cao, L., Tang, N., Fan, J., Wang, J., Yuan, Y. & Wang, G., 9 Jun 2024, SIGMOD-Companion 2024 - Companion of the 2024 International Conferaence on Management of Data. Association for Computing Machinery, p. 500-503 4 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Training Data 100%
  • Detection Accuracy 50%
  • Generalization Ability 50%
  • Classification Models 50%
  • Deep Neural Network 50%
  2 Citations (Scopus)

• Mitigating Data Scarcity in Supervised Machine Learning Through Reinforcement Learning Guided Data Generation

  Chai, C., Jin, K., Tang, N., Fan, J., Qiao, L., Wang, Y., Luo, Y., Yuan, Y. & Wang, G., 2024, Proceedings - 2024 IEEE 40th International Conference on Data Engineering, ICDE 2024. IEEE Computer Society, p. 3613-3626 14 p. (Proceedings - International Conference on Data Engineering).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Machine Learning 100%
  • Data Generation 100%
  • Generative Model 100%
  • Reinforcement Learning 100%
  • Training Data 50%

• Representation Learning for Entity Alignment in Knowledge Graph: A Design Space Exploration

  Huang, P., Zhang, M., Zhong, Z., Chai, C. & Fan, J., 2024, Proceedings - 2024 IEEE 40th International Conference on Data Engineering, ICDE 2024. IEEE Computer Society, p. 3462-3475 14 p. (Proceedings - International Conference on Data Engineering).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Representation Learning 100%
  • Design-Space Exploration 100%
  • Learning Technique 50%
  • World Application 50%
  • Baseline Method 50%

• Separation Is for Better Reunion: Data Lake Storage at Huawei

  Tang, X., Chai, C., Zhao, D., Ma, H., Zheng, Y., Fan, Z., Wu, X., Zhang, J., Zhang, R., Li, D., He, Y., Huang, K., Meng, G., Wang, Y., Zhou, Y., Tao, T., Jian, L., Shu, J., Wang, Y. & Yuan, Y. & 2 others, Wang, G. & Li, G., 2024, Proceedings - 2024 IEEE 40th International Conference on Data Engineering, ICDE 2024. IEEE Computer Society, p. 5142-5155 14 p. (Proceedings - International Conference on Data Engineering).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Storage Object 100%
• 2023

  A Topic-Aware Data Generation Framework for Math Word Problems

  Zhao, T., Chai, C., Liu, J., Li, G., Feng, J. & Liu, Z., 2023, Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Proceedings. Wang, X., Sapino, M. L., Han, W.-S., El Abbadi, A., Dobbie, G., Feng, Z., Shao, Y. & Yin, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 286-302 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13946 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Evaluation Result 100%
  • Data Generation 100%
  • Long Short-Term Memory Networks 50%
  • Baseline Method 50%
  • Generation Model 50%

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

  Zhang, J., Zhang, C., Li, G. & Chai, C., 2023, Proceedings - 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023. IEEE Computer Society, p. 2621-2633 13 p. (Proceedings - International Conference on Data Engineering; vol. 2023-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Cardinality 100%
  • Data Distribution 14%
  • Cost Estimation 14%
  • Query Optimization 14%
  • Generation Cost 14%
  6 Citations (Scopus)

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

  Zhou, X., Chai, C., Li, G. & Sun, J., 2023, Proceedings - 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023. IEEE Computer Society, p. 3901-3902 2 p. (Proceedings - International Conference on Data Engineering; vol. 2023-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Artificial Intelligence 100%
  • Artificial Intelligence Model 33%
  • Real Application 16%
  • Optimization Technique 16%
  • Historical Data 16%

• Demystifying Artificial Intelligence for Data Preparation

  Chai, C., Tang, N., Fan, J. & Luo, Y., 4 Jun 2023, SIGMOD 2023 - Companion of the 2023 ACM/SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 13-20 8 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Artificial Intelligence 100%
  • Data Preparation 100%
  • Tasks 33%
  • Data Management 11%
  • World Knowledge 11%
  3 Citations (Scopus)

• Efficient Coreset Selection with Cluster-based Methods

  Chai, C., Wang, J., Tang, N., Yuan, Y., Liu, J., Deng, Y. & Wang, G., 6 Aug 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 167-178 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Machine Learning 100%
  • Approximation (Algorithm) 100%
  • Performance Model 33%
  • Training Data 33%
  • Product Quantization 33%
  6 Citations (Scopus)
• 2022

  Domain Adaptation for Deep Entity Resolution

  Tu, J., Fan, J., Tang, N., Wang, P., Chai, C., Li, G., Fan, R. & Du, X., 10 Jun 2022, SIGMOD 2022 - Proceedings of the 2022 International Conference on Management of Data. Association for Computing Machinery, p. 443-457 15 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Domain Adaptation 100%
  • Entity Resolution 100%
  • Deep Learning 16%
  • Design Solution 16%
  • Computer Vision 8%
  27 Citations (Scopus)

• Feature Augmentation with Reinforcement Learning

  Liu, J., Chai, C., Luo, Y., Lou, Y., Feng, J. & Tang, N., 2022, Proceedings - 2022 IEEE 38th International Conference on Data Engineering, ICDE 2022. IEEE Computer Society, p. 3360-3372 13 p. (Proceedings - International Conference on Data Engineering; vol. 2022-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Reinforcement Learning 100%
  • Sampling Technique 50%
  • Conducted Experiment 50%
  • Search Space 50%
  • Performance Improvement 50%
  24 Citations (Scopus)

• LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning

  Zhang, L., Chai, C., Zhou, X. & Li, G., 10 Jun 2022, SIGMOD 2022 - Proceedings of the 2022 International Conference on Management of Data. Association for Computing Machinery, p. 945-958 14 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Reinforcement Learning 100%
  • Structured Query Language 100%
  • Cardinality 12%
  • Experimental Result 6%
  • Optimization Problem 6%
  13 Citations (Scopus)

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

  Dong, H., Chai, C., Luo, Y., Liu, J., Feng, J. & Zhan, C., 2022, Proceedings - 2022 IEEE 38th International Conference on Data Engineering, ICDE 2022. IEEE Computer Society, p. 2073-2085 13 p. (Proceedings - International Conference on Data Engineering; vol. 2022-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Data Instance 100%
  • Tree Construction 100%
  • Multidimensional Data 66%
  • Query Workload 66%
  • Experimental Result 33%
  10 Citations (Scopus)

• Synthesizing Privacy Preserving Entity Resolution Datasets

  Qinl, X., Chai, C., Tang, N., Li, J., Luo, Y., Li, G. & Zhu, Y., 2022, Proceedings - 2022 IEEE 38th International Conference on Data Engineering, ICDE 2022. IEEE Computer Society, p. 2359-2371 13 p. (Proceedings - International Conference on Data Engineering; vol. 2022-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Privacy Preserving 100%
  • Entity Resolution 100%
  • Machine Learning 18%
  • Differential Privacy 9%
  • Data Integration 9%
  4 Citations (Scopus)
• 2021

  Ranking desired tuples by database exploration

  Qin, X., Chai, C., Luo, Y., Zhao, T., Tang, N., Li, G., Feng, J., Yu, X. & Ouzzani, M., Apr 2021, Proceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021. IEEE Computer Society, p. 1973-1978 6 p. 9458918. (Proceedings - International Conference on Data Engineering; vol. 2021-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Machine Learning 100%
  • Structured Query Language 100%
  • Partial Order 100%
  • Data Instance 100%
  • Algorithm Selection 100%
  6 Citations (Scopus)
• 2020

  Crowdsourcing-based data extraction from visualization charts

  Chai, C., Li, G., Fan, J. & Luo, Y., Apr 2020, Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020. IEEE Computer Society, p. 1814-1817 4 p. 9101527. (Proceedings - International Conference on Data Engineering; vol. 2020-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Structured Data 100%
  • Data Extraction 100%
  • Human Interaction 100%
  • Crowdsourcing Platform 100%
  • quality model 100%
  7 Citations (Scopus)

• Human-in-the-loop Outlier Detection

  Chai, C., Cao, L., Li, G., Li, J., Luo, Y. & Madden, S., 14 Jun 2020, SIGMOD 2020 - Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 19-33 15 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Produced Candidate 100%
  45 Citations (Scopus)

• Interactive cleaning for progressive visualization through composite questions

  Luo, Y., Chai, C., Qin, X., Tang, N. & Li, G., Apr 2020, Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020. IEEE Computer Society, p. 733-744 12 p. 9101184. (Proceedings - International Conference on Data Engineering; vol. 2020-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Conventional Wisdom 100%
  27 Citations (Scopus)

• Interactively Discovering and Ranking Desired Tuples without Writing SQL Queries

  Qin, X., Chai, C., Luo, Y., Tang, N. & Li, G., 14 Jun 2020, SIGMOD 2020 - Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 2745-2748 4 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Structured Query Language 100%
  • Partial Order 20%
  • Data Analytics 20%
  • Data Exploration 20%
  • Data Discovery 20%
  11 Citations (Scopus)

• Manually detecting errors for data cleaning using adaptive crowdsourcing strategies

  Zhang, H., Chai, C., Doan, A. H., Koutris, P. & Arcaute, E., 2020, Advances in Database Technology - EDBT 2020: 23rd International Conference on Extending Database Technology, Proceedings. Bonifati, A., Zhou, Y., Vaz Salles, M. A., Bohm, A., Olteanu, D., Fletcher, G., Khan, A. & Yang, B. (eds.). OpenProceedings.org, p. 311-322 12 p. (Advances in Database Technology - EDBT; vol. 2020-March).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Optimization Problem 100%
  • Data Cleaning 100%
  • Unified Framework 100%
  • Data-Value 100%
  • Automatic Solution 100%
  3 Citations (Scopus)

• Outdated fact detection in knowledge bases

  Hao, S., Chai, C., Li, G., Tang, N., Wang, N. & Yu, X., Apr 2020, Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020. IEEE Computer Society, p. 1890-1893 4 p. 9101535. (Proceedings - International Conference on Data Engineering; vol. 2020-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Knowledge Base 100%
  • Machine Learning 11%
  • Data Cleaning 11%
  • Data Augmentation 11%
  • Reference Data 11%
  13 Citations (Scopus)

• Reinforcement learning with tree-LSTM for join order selection

  Yu, X., Li, G., Chai, C. & Tang, N., Apr 2020, Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020. IEEE Computer Society, p. 1297-1308 12 p. 9101694. (Proceedings - International Conference on Data Engineering; vol. 2020-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Long Short-Term Memory Network 100%
  • Deep Reinforcement Learning 100%
  • Reinforcement Learning 100%
  • Structured Query Language 100%
  • Solution Space 66%
  115 Citations (Scopus)
• 2019

  Crowdsourcing database systems: Overview and challenges

  Chai, C., Fan, J., Li, G., Wang, J. & Zheng, Y., Apr 2019, Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019. IEEE Computer Society, p. 2052-2055 4 p. 8731525. (Proceedings - International Conference on Data Engineering; vol. 2019-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Database Systems 100%
  • Crowdsourcing Platform 66%
  • Data Management 33%
  • Latency Reduction 33%
  • Mechanical Turk 33%
  30 Citations (Scopus)
• 2018

  Incentive-based entity collection using crowdsourcing

  Chai, C., Fan, J. & Li, G., 24 Oct 2018, Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. Institute of Electrical and Electronics Engineers Inc., p. 341-352 12 p. 8509260. (Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Knowledge Base 100%
  • World Application 100%
  • Distinct Entity 100%
  • Elimination Method 100%
  • Enterprise Data 100%
  25 Citations (Scopus)
• 2017

  CDB: Optimizing queries with crowd-based selections and joins

  Li, G., Chai, C., Fan, J., Weng, X., Li, J., Zheng, Y., Li, Y., Yu, X., Zhang, X. & Yuan, H., 9 May 2017, SIGMOD 2017 - Proceedings of the 2017 ACM International Conference on Management of Data. Association for Computing Machinery, p. 1463-1478 16 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data; vol. Part F127746).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Database Systems 100%
  • Query Optimization 100%
  • Experimental Result 50%
  • Unified Framework 50%
  68 Citations (Scopus)
• 2016

  Cost-effective crowdsourced entity resolution: A partial-order approach

  Chai, C., Li, G., Li, J., Deng, D. & Feng, J., 26 Jun 2016, SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data. Association for Computing Machinery, p. 969-984 16 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data; vol. 26-June-2016).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Entity Resolution 100%
  83 Citations (Scopus)