Extended Attribute Based Encryption for Private Information Retrieval. - Yinan Shan; Zhenfu Cao (MASS, 2009)

The Importance of Features for Statistical Anomaly Detection. - David Goldberg 001; Yinan Shan (HotCloud, 2015)

xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs. - Susie Xi Rao; Shuai Zhang 007; Zhichao Han 001; Zitao Zhang; Wei Min; Zhiyao Chen; Yinan Shan; Yang Zhao; Ce Zhang 001 (CoRR, 2020)

Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks. - Susie Xi Rao; Shuai Zhang 007; Zhichao Han 001; Zitao Zhang; Wei Min; Mo Cheng; Yinan Shan; Yang Zhao; Ce Zhang 001 (CoRR, 2020)

DeGNN: Improving Graph Neural Networks with Graph Decomposition. - Xupeng Miao; Nezihe Merve Gürel; Wentao Zhang 001; Zhichao Han 001; Bo Li 026; Wei Min; Susie Xi Rao; Hansheng Ren; Yinan Shan; Yingxia Shao; Yujie Wang; Fan Wu 011; et al. (KDD, 2021)

Graph Neural Networks in Real-Time Fraud Detection with Lambda Architecture. - Mingxuan Lu; Zhichao Han 001; Zitao Zhang; Yang Zhao; Yinan Shan (CoRR, 2021)

xFraud: Explainable Fraud Transaction Detection. - Susie Xi Rao; Shuai Zhang 007; Zhichao Han 001; Zitao Zhang; Wei Min; Zhiyao Chen; Yinan Shan; Yang Zhao; Ce Zhang 001 (Proc. VLDB Endow., 2021)

BRIGHT - Graph Neural Networks in Real-time Fraud Detection. - Mingxuan Lu; Zhichao Han 001; Susie Xi Rao; Zitao Zhang; Yang Zhao; Yinan Shan; Ramesh Raghunathan; Ce Zhang 001; Jiawei Jiang 001 (CIKM, 2022)

Behavioral graph fraud detection in E-commerce. - Hang Yin; Zitao Zhang; Zhurong Wang; Yilmazcan Özyurt; Weiming Liang; Wenyu Dong; Yang Zhao; Yinan Shan (ICDM (Workshops), 2022)

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks. - Kenza Amara; Zhitao Ying; Zitao Zhang; Zhichao Han 001; Yang Zhao; Yinan Shan; Ulrik Brandes; Sebastian Schemm; Ce Zhang 001 (LoG, 2022)

Modelling graph dynamics in fraud detection with "Attention". - Susie Xi Rao; Clémence Lanfranchi; Shuai Zhang 007; Zhichao Han 001; Zitao Zhang; Wei Min; Mo Cheng; Yinan Shan; Yang Zhao; Ce Zhang 001 (CoRR, 2022)

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks. - Kenza Amara; Rex Ying; Zitao Zhang; Zhihao Han; Yinan Shan; Ulrik Brandes; Sebastian Schemm; Ce Zhang 001 (CoRR, 2022)

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection. - Bo Qu; Zhurong Wang; Minghao Gu; Daisuke Yagi; Yang Zhao; Yinan Shan; Frank Zahradnik (ICDM (Workshops), 2024)

Identifying E-Commerce Fraud Through User Behavior Data: Observations and Insights. - Ziyi Zhang; Hang Yin; Susie Xi Rao; Xiao Yan 002; Zhurong Wang; Weiming Liang; Yang Zhao; Yinan Shan; Ruixuan Zhang; Yuhao Lin; Jiawei Jiang 001 (Data Sci. Eng., 2025)

MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage. - Yongjun He 004; Roger Waleffe; Zhichao Han 001; Johnu George; Binhang Yuan; Zitao Zhang; Yinan Shan; Yang Zhao; Debojyoti Dutta; Theodoros Rekatsinas; Ce Zhang 001 (CoRR, 2025)