Improving regular-expression matching on strings using negative factors. - Xiaochun Yang 001; Bin Wang 015; Tao Qiu; Yaoshu Wang; Chen Li 001 (SIGMOD Conference, 2013)

Local Filtering: Improving the Performance of Approximate Queries on String Collections. - Xiaochun Yang 001; Yaoshu Wang; Bin Wang 015; Wei Wang 011 (SIGMOD Conference, 2015)

Negative Factor: Improving Regular-Expression Matching in Strings. - Xiaochun Yang 001; Tao Qiu; Bin Wang 015; Baihua Zheng; Yaoshu Wang; Chen Li 001 (ACM Trans. Database Syst., 2016)

Efficient Approximate Entity Matching Using Jaro-Winkler Distance. - Yaoshu Wang; Jianbin Qin; Wei Wang 011 (WISE (1), 2017)

GPH: Similarity Search in Hamming Space. - Jianbin Qin; Yaoshu Wang; Chuan Xiao 001; Wei Wang 011; Xuemin Lin 001; Yoshiharu Ishikawa (ICDE, 2018)

Approximate Query Processing with Multiple Similarity Metrics. - Yaoshu Wang (2018)

Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach. - Yaoshu Wang; Chuan Xiao 001; Jianbin Qin; Xin Cao 001; Yifang Sun; Wei Wang 011; Makoto Onizuka (SIGMOD Conference, 2020)

Consistent and Flexible Selectivity Estimation for High-dimensional Data. - Yaoshu Wang; Chuan Xiao 001; Jianbin Qin; Rui Mao 001; Makoto Onizuka; Wei Wang 011; Rui Zhang 003 (CoRR, 2020)

Improving the Efficiency and Effectiveness for BERT-based Entity Resolution. - Bing Li 002; Yukai Miao; Yaoshu Wang; Yifang Sun; Wei Wang 011 (AAAI, 2021)

High-Dimensional Similarity Query Processing for Data Science. - Jianbin Qin; Wei Wang 011; Chuan Xiao 001; Ying Zhang 001; Yaoshu Wang (KDD, 2021)

Consistent and Flexible Selectivity Estimation for High-Dimensional Data. - Yaoshu Wang; Chuan Xiao 001; Jianbin Qin; Rui Mao 001; Makoto Onizuka; Wei Wang 011; Rui Zhang 003; Yoshiharu Ishikawa (SIGMOD Conference, 2021)

Generalizing the Pigeonhole Principle for Similarity Search in Hamming Space. - Jianbin Qin; Chuan Xiao 001; Yaoshu Wang; Wei Wang 011; Xuemin Lin 001; Yoshiharu Ishikawa; Guoren Wang (IEEE Trans. Knowl. Data Eng., 2021)

Parallel Rule Discovery from Large Datasets by Sampling. - Wenfei Fan; Ziyan Han; Yaoshu Wang; Min Xie (SIGMOD Conference, 2022)

Domain-Adapted Dependency Parsing for Cross-Domain Named Entity Recognition. - Chenxiao Dou; Xianghui Sun; Yaoshu Wang; Yunjie Ji; Baochang Ma; Xiangang Li (AAAI, 2023)

TabMentor: Detect Errors on Tabular Data with Noisy Labels. - Yaru Zhang; Jianbin Qin; Yaoshu Wang; Muhammad Asif Ali; Yan Ji; Rui Mao 001 (ADMA (3), 2023)

Adaptive Label Cleaning for Error Detection on Tabular Data. - Yaru Zhang; Jianbin Qin; Rui Mao 001; Yan Ji; Yaoshu Wang; Muhammad Asif Ali (APWeb/WAIM (4), 2023)

Discovering Top-k Rules using Subjective and Objective Criteria. - Wenfei Fan; Ziyan Han; Yaoshu Wang; Min Xie (Proc. ACM Manag. Data, 2023)

Learning and Deducing Temporal Orders. - Wenfei Fan; Resul Tugay; Yaoshu Wang; Min Xie; Muhammad Asif Ali (Proc. VLDB Endow., 2023)

Splitting Tuples of Mismatched Entities. - Wenfei Fan; Ziyan Han; Weilong Ren 002; Ding Wang; Yaoshu Wang; Min Xie; Mengyi Yan (Proc. ACM Manag. Data, 2023)

Unsupervised Domain Adaptation for Entity Blocking Leveraging Large Language Models. - Yaoshu Wang; Mengyi Yan (IEEE Big Data, 2024)

A Retrieval-Augmented Framework for Tabular Interpretation with Large Language Model. - Mengyi Yan; Weilong Ren 002; Yaoshu Wang; Jianxin Li (DASFAA (2), 2024)

BClean: A Bayesian Data Cleaning System. - Jianbin Qin; Sifan Huang; Yaoshu Wang; Jing Zhu; Yifan Zhang; Yukai Miao; Rui Mao 001; Makoto Onizuka; Chuan Xiao 001 (ICDE, 2024)

Efficient Mixture of Experts based on Large Language Models for Low-Resource Data Preprocessing. - Mengyi Yan; Yaoshu Wang; Kehan Pang; Min Xie; Jianxin Li 002 (KDD, 2024)

Rock: Cleaning Data by Embedding ML in Logic Rules. - Xianchun Bao; Zian Bao; Bie Binbin; Qingsong Duan; Wenfei Fan; Hui Lei; Daji Li; Wei Lin; Peng Liu; Zhicong Lv; Mingliang Ouyang; Shuai Tang; et al. (SIGMOD Conference Companion, 2024)

Enriching Relations with Additional Attributes for ER. - Mengyi Yan; Wenfei Fan; Yaoshu Wang; Min Xie (Proc. VLDB Endow., 2024)

Rock: Cleaning Data with both ML and Logic Rules. - Zian Bao; Bie Binbin; Wenfei Fan; Daji Li; Mengyun Li; Kaiwen Lin; Wei Lin; Peijie Liu; Peng Liu; Zhicong Lv; Mingliang Ouyang; Chenyang Sun; et al. (Proc. VLDB Endow., 2024)

Graph Association Analyses for Early Drug Discovery. - Wenfei Fan; Daji Li; Peiyu Liang; Shuhao Liu 001; Yaoshu Wang; Yiming Wang; Min Xie; Runjie Zhang (Proc. VLDB Endow., 2024)

GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models. - Mengyi Yan; Yaoshu Wang; Yue Wang 012; Xiaoye Miao; Jianxin Li 002 (Proc. ACM Manag. Data, 2024)

ZeroED: Hybrid Zero-shot Error Detection through Large Language Model Reasoning. - Wei Ni; Kaihang Zhang; Xiaoye Miao; Xiangyu Zhao 001; Yangyang Wu; Yaoshu Wang; Jianwei Yin (CoRR, 2025)

CKGAN: Training Generative Adversarial Networks Using Characteristic Kernel Integral Probability Metrics. - Kuntian Zhang; Simin Yu; Yaoshu Wang; Makoto Onizuka; Chuan Xiao 001 (CoRR, 2025)

Towards uncertainty-calibrated structural data enrichment with large language model for few-shot entity resolution. - Mengyi Yan; Yaoshu Wang; Xiaohan Jiang; Haoyi Zhou; Jianxin Li 002 (Frontiers Comput. Sci., 2025)