| Serverless computing: state-of-the-art, challenges and opportunities Y Li, Y Lin, Y Wang, K Ye, C Xu IEEE Transactions on Services Computing 16 (2), 1522-1539, 2022 | 135 | 2022 |
| A novel multimodal deep learning framework for encrypted traffic classification P Lin, K Ye, Y Hu, Y Lin, CZ Xu IEEE/ACM Transactions on Networking 31 (3), 1369-1384, 2022 | 34 | 2022 |
| Bbserverless: A bursty traffic benchmark for serverless Y Lin, K Ye, Y Li, P Lin, Y Tang, C Xu International Conference on Cloud Computing, 45-60, 2021 | 6 | 2021 |
| System-level Implications of Serverless: Workload Characterizing and Performance Understanding D Deng, Y Lin, K Ye 2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2022 | 2 | 2022 |
| Planck: Optimizing LLM Inference Performance in Pipeline Parallelism with Fine-Grained SLO Constraint Y Lin, S Peng, S Wu, Y Li, C Lu, C Xu, K Ye 2024 IEEE International Conference on Web Services (ICWS), 1306-1313, 2024 | 1 | 2024 |
| PEAN: A packet-level end-to-end attentive network for encrypted traffic identification P Lin, Y Hu, Y Lin, K Ye, CZ Xu 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th …, 2021 | 1 | 2021 |
| QUART: Latency-Aware FaaS System for Pipelining Large Model Inference Y Lin, Y Li, S Peng, Y Tang, S Luo, H Shen, C Xu, K Ye 2024 IEEE 44th International Conference on Distributed Computing Systems …, 2024 | | 2024 |
| EINS: Edge-Cloud Deep Model Inference with Network-Efficiency Schedule in Serverless S Peng, Y Lin, W Chen, Y Tang, X Duan, K Ye 2024 27th International Conference on Computer Supported Cooperative Work in …, 2024 | | 2024 |
| Process parasitism-based branch prediction method and device for serverless computing, electronic device, and non-transitory readable storage medium K Ye, Y Lin, C Xu US Patent 11,915,003, 2024 | | 2024 |
| FLASH: Low-Latency Serverless Model Inference with Multi-Core Parallelism in Edge Y Li, Y Lin, S Peng, Y Tang, T Xiang, W Song, K Ye 2023 IEEE 29th International Conference on Parallel and Distributed Systems …, 2023 | | 2023 |
| The power of big models: Unleashing opportunities for cloud computing Y Lin Information Fusion Research 1 (1), 129-129, 2023 | | 2023 |
| ESBench: Understanding Deep Learning Inference Overheads for Edge Serverless Y Lin, J Chen, Y Wang, K Ye 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th …, 2022 | | 2022 |
| LBNN: Perceiving the State Changes of a Core Telecommunications Network via Linear Bayesian Neural Network Y Lin, K Ye, M Chen, N Deng, T Wu, CZ Xu 2020 IEEE 26th International Conference on Parallel and Distributed Systems …, 2020 | | 2020 |
