RZKPB: A Privacy-Preserving Blockchain-Based Fair Transaction Method for Sharing Economy. - Bin Li 030; Yijie Wang 001 (TrustCom/BigDataSE, 2018)

FPPB: A Fast and Privacy-Preserving Method Based on the Permissioned Blockchain for Fair Transactions in Sharing Economy. - Bin Li 030; Yijie Wang 001; Peichang Shi; Huan Chen; Li Cheng 001 (TrustCom/BigDataSE, 2018)

FAAD: an unsupervised fast and accurate anomaly detection method for a multi-dimensional sequence over data stream. - Bin Li 030; Yijie Wang 001; Dongsheng Yang; Yongmou Li; Xingkong Ma (Frontiers Inf. Technol. Electron. Eng., 2019)

Outlier Detection Ensemble with Embedded Feature Selection. - Li Cheng 001; Yijie Wang 001; Xinwang Liu; Bin Li 030 (AAAI, 2020)

Fden: Mining Effective Information of Features in Detecting Network Anomalies. - Bin Li 030; Yijie Wang 001; Mingyu Liu; Kele Xu; Zhongyang Wang; Li Cheng 001; Yizhou Li (ICASSP, 2021)

DPSS: Dynamic Parameter Selection for Outlier Detection on Data Streams. - Ruyi Zhang 002; Yijie Wang 001; Haifang Zhou; Bin Li 030; Hongzuo Xu (ICPADS, 2022)

DFAID: Density-aware and feature-deviated active intrusion detection over network traffic streams. - Bin Li 030; Yijie Wang 001; Kele Xu; Li Cheng 001; Zhiquan Qin (Comput. Secur., 2022)

Smoothing Point Adjustment-Based Evaluation of Time Series Anomaly Detection. - Mingyu Liu; Yijie Wang 001; Hongzuo Xu; Xiaohui Zhou; Bin Li 030; Yongjun Wang (ICASSP, 2023)

Adaptive and augmented active anomaly detection on dynamic network traffic streams. - Bin Li 030; Yijie Wang 001; Li Cheng 001 (Frontiers Inf. Technol. Electron. Eng., 2024)

Density-aware and Cluster-based Federated Anomaly Detection on Data Streams. - Bin Li 030; Li Cheng 001; Zheng Qin 002; Yunlong Wu (WSDM, 2025)

Correction: Deep anomaly detection with partition contrastive learning for tabular data. - Yizhou Li; Yijie Wang 001; Hongzuo Xu; Bin Li 030; Xiaohui Zhou (Data Min. Knowl. Discov., 2025)