POSTER: A PU Learning based System for Potential Malicious URL Detection. - Ya-Lin Zhang 001; Longfei Li; Jun Zhou 011; Xiaolong Li 005; Yujiang Liu; Yuanchao Zhang; Zhi-Hua Zhou (CCS, 2017)

Multi-Instance Learning with Key Instance Shift. - Ya-Lin Zhang 001; Zhi-Hua Zhou (IJCAI, 2017)

Anomaly Detection with Partially Observed Anomalies. - Ya-Lin Zhang 001; Longfei Li; Jun Zhou 011; Xiaolong Li 005; Zhi-Hua Zhou (WWW (Companion Volume), 2018)

Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. - Ya-Lin Zhang 001; Jun Zhou 011; Wenhao Zheng 001; Ji Feng; Longfei Li; Ziqi Liu; Ming Li 005; Zhiqiang Zhang 012; Chaochao Chen 001; Xiaolong Li 005; Zhi-Hua Zhou (CoRR, 2018)

Interpretable MTL from Heterogeneous Domains using Boosted Tree. - Ya-Lin Zhang 001; Longfei Li (CIKM, 2019)

A Time Attention based Fraud Transaction Detection Framework. - Longfei Li; Ziqi Liu; Chaochao Chen 001; Ya-Lin Zhang 001; Jun Zhou 011; Xiaolong Li 005 (CoRR, 2019)

Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. - Ya-Lin Zhang 001; Jun Zhou 011; Wenhao Zheng 001; Ji Feng; Longfei Li; Ziqi Liu; Ming Li 005; Zhiqiang Zhang 012; Chaochao Chen 001; Xiaolong Li 005; Yuan (Alan) Qi; Zhi-Hua Zhou (ACM Trans. Intell. Syst. Technol., 2019)

aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots. - Kuan Xu; Chilin Fu; Xiaolu Zhang; Cen Chen 001; Ya-Lin Zhang 001; Wenge Rong; Zujie Wen; Jun Zhou 011; Xiaolong Li 005; Yu Qiao 001 (CIKM, 2020)

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

Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching. - Cen Chen 001; Ya-Lin Zhang 001; Minghui Qiu; Bingzhe Wu; Li Wang 056; Longfei Li; Jun Zhou 011 (WWW (Companion Volume), 2020)

A Graph Attention Network Model for GMV Forecast on Online Shopping Festival. - Qianyu Yu 001; Shuo Yang; Zhiqiang Zhang 012; Ya-Lin Zhang 001; Binbin Hu; Ziqi Liu; Kai Huang; Xingyu Zhong; Jun Zhou 011; Yanming Fang (APWeb/WAIM (1), 2021)

Constraint-Adaptive Rule Mining in Large Databases. - Meng Li; 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; 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; 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; 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)

Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding. - Caizhi Tang; Huiyuan Wang; Xinyu Li; Qing Cui; Ya-Lin Zhang 001; Feng Zhu 011; Longfei Li; Jun Zhou 011; Linbo Jiang (NeurIPS, 2022)

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

Treatment Effect Estimation across Domains. - Yi-Xuan Sun; Ya-Lin Zhang 001; Wei Wang 028; Longfei Li; Jun Zhou 011 (CIKM, 2023)

Degradation-Resistant Offline Optimization via Accumulative Risk Control. - Huakang Lu; Hong Qian; Yupeng Wu; Ziqi Liu; Ya-Lin Zhang 001; Aimin Zhou; Yang Yu 001 (ECAI, 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; 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; Yeyu Zhao; Wei Wang 028; Longfei Li; Jun Zhou 011; Jinghua Feng (WSDM, 2023)

Exploring the combination of self and mutual teaching for tabular-data-related semi-supervised regression. - Ya-Lin Zhang 001; Jun Zhou 011; Qitao Shi; Longfei Li (Expert Syst. Appl., 2023)

Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources. - Yi-Xuan Sun; Ya-Lin Zhang 001; Bin Han; Longfei Li; Jun Zhou 011 (ICML, 2024)

Collaborative Refining for Learning from Inaccurate Labels. - Bin Han; Yi-Xuan Sun; Ya-Lin Zhang 001; Libang Zhang; Haoran Hu; Longfei Li; Jun Zhou 011; Guo Ye; Huimei He (NeurIPS, 2024)

Modeling Treatment Effect with Cross-Domain Data. - Bin Han; Ya-Lin Zhang 001; Lu Yu 006; Biying Chen; Longfei Li; Jun Zhou 011 (PAKDD (1), 2024)

Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding. - Ya-Lin Zhang 001; Caizhi Tang; Lu Yu 006; Jun Zhou 011; Longfei Li; Qing Cui; Fangfang Fan; Linbo Jiang; Xiaosong Zhao (WSDM, 2024)

A distribution-free method for probabilistic prediction. - Qitao Shi; Ya-Lin Zhang 001; Lu Yu 006; Feng Zhu 011; Longfei Li; Jun Zhou 011; Yanming Fang (Expert Syst. Appl., 2024)

AntAkso: Claims Management System for Health Insurance in Alipay. - Qitao Shi; Jun Zhou 011; Ya-Lin Zhang 001; Longfei Li; Chaoyi Ma; Yifan Wu; Xiaobo Qin (KDD (1), 2025)