Green simulation designs for repeated experiments. - Mingbin Feng; Jeremy Staum (WSC, 2015)

Green Simulation: Reusing the Output of Repeated Experiments. - Mingbin Feng; Jeremy Staum (ACM Trans. Model. Comput. Simul., 2017)

Green Simulation with Database Monte Carlo. - Mingbin Feng; Jeremy Staum (ACM Trans. Model. Comput. Simul., 2021)

Cutting Through the Noise: Machine Learning Proxies for High Dimensional Nested Simulation. - Xintong Li; Mingbin Feng; Tony S. Wirjanto (WSC, 2023)

Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting. - Katrina Chen; Mingbin Feng; Tony S. Wirjanto (CoRR, 2023)

Time-series Anomaly Detection via Contextual Discriminative Contrastive Learning. - Katrina Chen; Mingbin Feng; Tony S. Wirjanto (CoRR, 2023)

Towards Cross-Domain Few-Shot Graph Anomaly Detection. - Jiazhen Chen; Sichao Fu; Zhibin Zhang; Zheng Ma 011; Mingbin Feng; Tony S. Wirjanto; Qinmu Peng (ICDM, 2024)

Harnessing Contrastive Learning and Neural Transformation for Time Series Anomaly Detection. - Jiazhen Chen; Mingbin Feng; Tony S. Wirjanto (ICASSP, 2025)

Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection. - Jiazhen Chen; Mingbin Feng; Tony S. Wirjanto (WSDM, 2025)

Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs. - Jiazhen Chen; Sichao Fu; Zheng Ma 011; Mingbin Feng; Tony S. Wirjanto; Qinmu Peng (CoRR, 2025)

Towards Effective Open-set Graph Class-incremental Learning. - Jiazhen Chen; Zheng Ma 011; Sichao Fu; Mingbin Feng; Tony S. Wirjanto; Weihua Ou (CoRR, 2025)

Multiplex graph prompt collaboration for open-set social event detection. - Xiuqin Liang; Jiazhen Chen; Sichao Fu; Wuli Wang; Mingbin Feng; Tony S. Wirjanto; Qinmu Peng; Baodi Liu; Weihua Ou (Expert Syst. Appl., 2026)