| Deepscaling: Autoscaling microservices with stable cpu utilization for large scale production cloud systems Z Wang, S Zhu, J Li, W Jiang, KK Ramakrishnan, M Yan, X Zhang, AX Liu IEEE/ACM Transactions on Networking, 2024 | 55* | 2024 |
| HSA-Net: Hidden-state-aware networks for high-precision QoS prediction Z Wang, X Zhang, M Yan, L Xu, D Yang IEEE Transactions on Parallel and Distributed Systems 33 (6), 1421-1435, 2021 | 23 | 2021 |
| Deep attentive anomaly detection for microservice systems with multimodal time-series data Y Chen, M Yan, D Yang, X Zhang, Z Wang 2022 IEEE international conference on web services (ICWS), 373-378, 2022 | 18 | 2022 |
| A probability distribution and location-aware ResNet approach for QoS prediction W Zhang, L Xu, M Yan, Z Wang, C Fu Journal of Web Engineering 20 (4), 1251-1290, 2021 | 10 | 2021 |
| A Feature Distribution Smoothing Network Based on Gaussian Distribution for QoS Prediction. T Lu, X Zhang, Z Wang, M Yan ICWS, 687-694, 2023 | 7 | 2023 |
| M2CVD: Multi-Model Collaboration for Code Vulnerability Detection Z Wang, G Li, J Li, Y Xiong, J Li, Z Jin arXiv e-prints, arXiv: 2406.05940, 2024 | 5 | 2024 |
| Code Structure-Aware through Line-level Semantic Learning for Code Vulnerability Detection Z Wang, G Li, J Li, Y Dong, Y Xiong, Z Jin arXiv e-prints, arXiv: 2407.18877, 2024 | 1 | 2024 |
| Probabilistic Deep Supervision Network: A Noise-Resilient Approach for QoS Prediction. Z Wang, X Zhang, S Huang, W Zhang, D Yang, M Yan CoRR, 2023 | | 2023 |
| A Dual Latent State Learning Approach: Exploiting Regional Network Similarities for QoS Prediction. Z Wang, X Zhang, M Yan CoRR, 2023 | | 2023 |