*表示通讯作者

[1] Qiyan Deng, Jianhui Li, Chengliang Chai*, Ye Yuan, Jinqi Liu, Junzhi She, Kaisen Jin, Zhaoze Sun, Yuhao Deng, Jia Yuan, Yuping Wang, Xu Zhou, Guoren Wang, Lei Cao. Unstructured Data Analysis Using LLMs: A Comprehensive Benchmark,VLDB, 2026.

[2] Chaoyuan Shen, Chi Zhang, Chengliang Chai, Jiacheng Wang, Jia Yuan, Yuping Wang, Ye Yuan, Guoren Wang, Lei Cao. BRIEF: Bi-level Coreset Selection for Efficient Instruction Tuning in LLMs,VLDB, 2026. 

[3] Guangming Qin, Yuhao Deng, Yukun Zhao, Zhenyang Li, Junfeng Wang, Dawei Yin, Ye Yuan, Guoren Wang, Yizhou Yan, Chengliang Chai*. DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic Search,ACL, 2026.

[4] Yuhao Deng, Chengliang Chai, Kaisen Jin, Linan Zheng, Lei Cao, Ye Yuan, Guoren Wang. Two Birds with One Stone: Efficient Deep Learning over Mislabeled Data through Subset Selection,SIGMOD, 2025.

[5] Chengliang Chai, Kaisen Jin, Nan Tang, Ju Fan, Dongjing Miao, Jiayi Wang, Yuyu Luo, Guoliang Li, Ye Yuan, Guoren Wang. Costeffective Missing Value Imputation for Dataeffective Machine Learning,TODS, 2025.

[6] Chengliang Chai, Jiajun Li, Yuhao Deng, Yuanhao Zhong, Ye Yuan, Guoren Wang, Lei Cao. Doctopus: Budgetaware Structural Table Extraction from Unstructured Documents,VLDB, 2025.

[7] Zhaoze Sun, Chengliang Chai, Qiyan Deng, Kaisen Jin, Xinyu Guo, Han Han, Ye Yuan, Guoren Wang, Lei Cao. QUEST: Query Optimization in Unstructured Document Analysis[100],VLDB, 2025.

[8] Chi Zhang, Huaping Zhong, Kuan Zhang, Chengliang Chai, Rui Wang, Xinlin Zhuang, Tianyi Bai, Jiantao Qiu, Lei Cao, Ju Fan, Guoren Wang, Conghui He. Harnessing Diversity for Important Data Selection in Pretraining Large Language Models,ICLR, 2025.

[9] Yuhao Deng, Chengliang Chai, Lei Cao, Nan Tang, Jiayi Wang, Ju Fan, Ye Yuan, Guoren Wang. MisDetect: Iterative Mislabel Detection using Early Loss,VLDB, 2024.

[10] 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,VLDB, 2024.

[11] Jiayi Wang, Chengliang Chai, Jiabin Liu, Guoliang Li. Cardinality estimation using normalizing flow,VLDBJ, 2024.

[12] 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.

[13] Meihao Fan, Xiaoyue Han, Ju Fan, Chengliang Chai, Nan Tang, Guoliang Li, Xiaoyong Du. CostEffective InContext Learning for Entity Resolution: A Design Space Exploration,ICDE, 2024.

[14] 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.

[15] Chengliang Chai, Jiabin Liu, Nan Tang, Ju Fan, Dongjing Miao, Jiayi Wang, Yuyu Luo, Guoliang Li. GoodCore: Dataeffective and Dataefficient Machine Learning through Coreset Selection over Incomplete Data,SIGMOD, 2023.

[16] Chengliang Chai, Jiayi Wang, Yuyu Luo, Zeping Niu, Guoliang Li. Data Management for Machine Learning: A Survey,TKDE, 2023.

[17] Shuang Hao, Chengliang Chai, Guoliang Li, Nan Tang, Ning Wang, Xiang Yu. HOFD: An Outdated Fact Detector for Knowledge Bases,TKDE, 2023.

[18] Chengliang Chai, Jiabin Liu, Nan Tang, Guoliang Li, Yuyu Luo. Selective Data Acquisition in the Wild for Model Charging,VLDB, 2022.

[19] Haowen Dong, Chengliang Chai, Yuyu Luo, Jiabin Liu, Jianhua Feng, Chaoqun Zhan. RWTree: A Learned Workloadaware Framework for Rtree Construction,ICDE, 2022.

[20] Jiabin Liu, Chengliang Chai, Yuyu Luo, Yin Lou, Jianhua Feng, Nan Tang. Feature Augmentation with Reinforcement Learning,ICDE, 2022.

[21] Xuedi Qin, Chengliang Chai, Nan Tang, Jian Li, Yuyu Luo, Guoliang Li, Yaoyu Zhu. Synthesizing Privacy Preserving Entity Resolution Datasets,ICDE, 2022.

[22] Xiang Yu, Chengliang Chai, Guoliang Li, Jiabin Liu. Learningbased? A Hybrid Optimizer for Query Plan Selection,VLDB, 2022.

[23] Jiayi Wang, Chengliang Chai, Nan Tang, Jiabin Liu, Guoliang Li. Coresets over Multiple Tables for Featurerich and Dataefficient Machine Learning,VLDB, 2022.

[24] Yuyu Luo, Xuedi Qin, Chengliang Chai, Nan Tang, Guoliang Li, Wenbo Li. Steerable SelfDriving Data Visualization,TKDE, 2022.

[25] Xuanhe Zhou, Chengliang Chai, Guoliang Li, Ji Sun. Database Meets Artificial Intelligence: A Survey,TKDE, 2022.

[26] 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,VLDBJ, 2022.

[27] Lixi Zhang, Chengliang Chai, Xuanhe Zhou, Guoliang Li. LearnedSQLGen: Constraintaware SQL Generation using Reinforcement Learning,SIGMOD, 2022.

[28] Chengliang Chai, Guoliang Li, Ju Fan, Yuyu Luo. CrowdChart: Crowdsourced Data Extraction From Visualization Charts,TKDE, 2021.

[29] Chengliang Chai, Lei Cao, Guoliang Li, Jian Li, Yuyu Luo, Samuel Madden. Humanintheloop OutlierDetection,SIGMOD, 2020.

[30] Yuyu Luo, Chengliang Chai, Xuedi Qin, Nan Tang, Guoliang Li. Interactive Cleaning for Progressive Visualization through Composite Questions,ICDE, 2020.

[31] Chengliang Chai, Guoliang Li, Jian Li, Dong Deng, Jianhua Feng. A partialorderbased framework for costeffective crowdsourced entity resolution,VLDBJ, 2018.

[32] Chengliang Chai, Ju Fan, Guoliang Li. IncentiveBased Entity Collection Using Crowdsourcing,ICDE, 2018.

[33] Chengliang Chai, Guoliang Li, Jian Li, Dong Deng, Jianhua Feng. CostEffective Crowdsourced Entity Resolution: A PartialOrder Approach,SIGMOD, 2016.