Double-Machine-Learning-Based Resource Scheduling Method for Offloading Transfers. - Xiao Lin; Songlei Lin; Yaping Li; Junyi Shao; Keqin Shi; Yajie Li 001 (APCC, 2022)

Walking to Authenticate: Identifying Robust Behavioral Biometrics from Step Count Data. - Zhen Chen; Keqin Shi; Weiqiang Sun (CyberC, 2023)

GRU-CP: Non-stationary Time Series Forecasting with Change Point Detection. - Zhihua Ding; Keqin Shi; Weiqiang Sun (CyberC, 2023)

Bulk Transfers With GCN Scheduling In Digital Twin Networks. - Xiao Lin; Lanfang Zheng; Keqin Shi; Yajie Li 001 (ICC, 2023)

GCN-Assisted SnF Scheduling Method for Inter-Datacenter Bulk Transfers. - Xiao Lin; Lanfang Zheng; Yajie Li 001; Keqin Shi (OFC, 2023)

Inferring Activity Patterns from Sparse Step Counts Data with Recurrent Neural Networks. - Keqin Shi; Zhen Chen; Xuejing Li; Zhifei Xiao; Weiqiang Sun; Weisheng Hu (ACM Trans. Comput. Heal., 2023)

Measuring regularity of human physical activities with entropy models. - Keqin Shi; Zhen Chen; Weiqiang Sun; Weisheng Hu (J. Big Data, 2024)

Step Count Print: A Physical Activity-Based Biometric Identifier for User Identification and Authentication. - Zhen Chen; Keqin Shi; Weiqiang Sun (IEEE Trans. Biom. Behav. Identity Sci., 2025)

A multi-scale time series forecasting framework with temporal hierarchical information fusion and reconciliation. - Keqin Shi; Zhihua Ding; Zhen Chen; Hao He 007; Weiqiang Sun; Weisheng Hu (Data Min. Knowl. Discov., 2025)