Summary
Zifeng Niu received the BSc (Hons) degree in Mathematics with Applied Mathematics from the University of Nottingham in 2019 and the MSc degree in Computing (Artificial Intelligence and Machine Learning) from Imperial College London in 2020. He is currently pursuing the PhD degree with the supervision of Giuliano Casale at the Department of Computing. His research interests focus on performance modeling, cloud computing, machine learning and operations research.
Publications
Journals
Niu Z, Casale G, 2024, Neural density estimation of response times in layered software systems, Ieee Transactions on Software Engineering, Vol:50, ISSN:0098-5589, Pages:636-650
Niu Z, 2023, Graph learning based performance analysis for queueing networks, Acm Sigmetrics Performance Evaluation Review, Vol:51, ISSN:0163-5999, Pages:6-7
Casale G, Gao Y, Niu Z, et al., 2023, LN: a flexible algorithmic framework for layered queueing network analysis, Acm Transactions on Modeling and Computer Simulation, ISSN:1049-3301
Conference
Dobre R-A, Niu Z, Casale G, Approximating Fork-Join Systems via Mixed Model Transformations, Workshop on Challenges in Performance Methods for Software Development (WOSP-C)
Niu Z, Casale G, 2022, A Mixture Density Network approach to predicting response times in layered systems, IEEE MASCOTS 2021, IEEE, Pages:1-8