A Mixture Density Network Approach to Predicting Response Times in Layered Systems. - Zifeng Niu; Giuliano Casale (MASCOTS, 2021)

LN: A Meta-solver for Layered Queueing Network Analysis. - Giuliano Casale; Yicheng Gao; Zifeng Niu; Lulai Zhu (QEST, 2022)

ChainNet: A Customized Graph Neural Network Model for Loss-Aware Edge AI Service Deployment. - Zifeng Niu; Manuel Roveri; Giuliano Casale (DSN, 2024)

Approximating Fork-Join Systems via Mixed Model Transformations. - Rares-Andrei Dobre; Zifeng Niu; Giuliano Casale (ICPE (Companion), 2024)

Graph Learning based Performance Analysis for Queueing Networks. - Zifeng Niu (SIGMETRICS Perform. Evaluation Rev., 2024)

Neural Density Estimation of Response Times in Layered Software Systems. - Zifeng Niu; Giuliano Casale (IEEE Trans. Software Eng., 2024)

LN: A Flexible Algorithmic Framework for Layered Queueing Network Analysis. - Giuliano Casale; Yicheng Gao; Zifeng Niu; Lulai Zhu (ACM Trans. Model. Comput. Simul., 2024)

CEED: Collaborative Early Exit Neural Network Inference at the Edge. - Yichong Chen; Zifeng Niu; Manuel Roveri; Giuliano Casale (INFOCOM, 2025)