| A mixture density network approach to predicting response times in layered systems Z Niu, G Casale 2021 29th International Symposium On Modeling, Analysis, and Simulation of …, 2021 | 7 | 2021 |
| LN: A flexible algorithmic framework for layered queueing network analysis G Casale, Y Gao, Z Niu, L Zhu ACM Transactions on Modeling and Computer Simulation 34 (3), 1-26, 2024 | 2 | 2024 |
| ChainNet: A Customized Graph Neural Network Model for Loss-aware Edge AI Service Deployment Z Niu, M Roveri, G Casale 2024 54th Annual IEEE/IFIP International Conference on Dependable Systems …, 2024 | 1 | 2024 |
| LN: A Meta-solver for Layered Queueing Network Analysis G Casale, Y Gao, Z Niu, L Zhu International Conference on Quantitative Evaluation of Systems, 232-254, 2022 | 1 | 2022 |
| Approximating Fork-Join Systems via Mixed Model Transformations RA Dobre, Z Niu, G Casale Companion of the 15th ACM/SPEC International Conference on Performance …, 2024 | | 2024 |
| Neural Density Estimation of Response Times in Layered Software Systems Z Niu, G Casale IEEE Transactions on Software Engineering, 2024 | | 2024 |
| Graph Learning based Performance Analysis for Queueing Networks Z Niu ACM SIGMETRICS Performance Evaluation Review 51 (3), 6-7, 2024 | | 2024 |
| CEED: Collaborative Early Exit Neural Network Inference at the Edge Y Chen, Z Niu, M Roveri, G Casale 2025 IEEE International Conference on Computer Communications (INFOCOM), 0 | | |
Giuliano CasaleDepartment of Computing, Imperial College LondonVerified email at imperial.ac.uk