SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks. - Qitao Shi; Ya-Lin Zhang 001; Longfei Li; Xinxing Yang; Meng Li 068; Jun Zhou 011 (ICDE, 2020)

Constraint-Adaptive Rule Mining in Large Databases. - Meng Li 068; Ya-Lin Zhang 001; Qitao Shi; Xinxing Yang; Qing Cui; Longfei Li; Jun Zhou 011 (DASFAA (3), 2021)

A Classification Based Ensemble Pruning Framework with Multi-metric Consideration. - Ya-Lin Zhang 001; Qitao Shi; Meng Li 068; Xinxing Yang; Longfei Li; Jun Zhou 011 (IntelliSys (1), 2021)

A Task-Aware Attention-Based Method for Improved Meta-Learning. - Yue Zhang; Xinxing Yang; Feng Zhu 011; Yalin Zhang 001; Meng Li 068; Qitao Shi; Longfei Li; Jun Zhou 011 (APWeb/WAIM (2), 2022)

An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset. - Meng Li 068; Lu Yu 006; Ya-Lin Zhang 001; Xiaoguang Huang; Qitao Shi; Qing Cui; Xinxing Yang; Longfei Li; Wei Zhu; Yanming Fang; Jun Zhou 011 (CIKM, 2022)

MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection. - Lu Yu 006; Meng Li 068; Xiaoguang Huang; Wei Zhu; Yanming Fang; Jun Zhou 011; Longfei Li (CIKM, 2022)

FINRule: Feature Interactive Neural Rule Learning. - Lu Yu 006; Meng Li 068; Ya-Lin Zhang 001; Longfei Li; Jun Zhou 011 (CIKM, 2023)

A Rule-based Decision System for Financial Applications. - Meng Li 068; Jun Zhou 011; Lu Yu 006; Xiaoguang Huang; Yongfeng Gu; Yi Ding 006; Hao Ding; Longfei Li (ICDE, 2023)

ALT: An Automatic System for Long Tail Scenario Modeling. - Ya-Lin Zhang 001; Jun Zhou 011; Yankun Ren; Yue Zhang; Xinxing Yang; Meng Li 068; Qitao Shi; Longfei Li (ICDE, 2023)

A Framework for Detecting Frauds from Extremely Few Labels. - Ya-Lin Zhang 001; Yi-Xuan Sun; Fangfang Fan; Meng Li 068; Yeyu Zhao; Wei Wang 028; Longfei Li; Jun Zhou 011; Jinghua Feng (WSDM, 2023)

A Practical Rule Learning Framework for Risk Management. - Jun Zhou 011; Meng Li 068; Lu Yu 006; Longfei Li; Fei Wu 001 (WWW (Companion Volume), 2023)