| GAugur: Quantifying performance interference of colocated games for improving resource utilization in cloud gaming Y Li, C Shan, R Chen, X Tang, W Cai, S Tang, X Liu, G Wang, X Gong, ... Proceedings of the 28th international symposium on high-performance parallel …, 2019 | 33 | 2019 |
| DRLPart: A Deep Reinforcement Learning Framework for Optimally Efficient and Robust Resource Partitioning on Commodity Servers R Chen, J Wu, H Shi, Y Li, X Liu, G Wang Proceedings of the 30th International Symposium on High-Performance Parallel …, 2021 | 14 | 2021 |
| Olpart: Online learning based resource partitioning for colocating multiple latency-critical jobs on commodity computers R Chen, H Shi, Y Li, X Liu, G Wang Proceedings of the Eighteenth European Conference on Computer Systems, 347-364, 2023 | 7 | 2023 |
| Jointly optimizing job assignment and resource partitioning for improving system throughput in cloud datacenters R Chen, H Shi, J Wu, Y Li, X Liu, G Wang ACM Transactions on Architecture and Code Optimization 20 (3), 1-24, 2023 | 2 | 2023 |
| Orchid: An Online Learning based Resource Partitioning Framework for Job Colocation with Multiple Objectives R Chen, W Peng, Y Li, X Liu, G Wang IEEE Transactions on Computers, 2023 | 1 | 2023 |
| CoTuner: A Hierarchical Learning Framework for Coordinately Optimizing Resource Partitioning and Parameter Tuning T Yang, R Chen, Y Li, X Liu, G Wang Proceedings of the 52nd International Conference on Parallel Processing, 317-326, 2023 | 1 | 2023 |
| GCNPart: Interference-Aware Resource Partitioning Framework with Graph Convolutional Neural Networks and Deep Reinforcement Learning R Chen, H Shi, J Wu, Y Li, X Liu, G Wang International Conference on Algorithms and Architectures for Parallel …, 2022 | | 2022 |
| Deep Learning Assisted Resource Partitioning for Improving Performance on Commodity Servers R Chen, J Wu, H Shi, Y Li, H Yin, S Tang, X Liu, G Wang Proceedings of the ACM International Conference on Parallel Architectures …, 2020 | | 2020 |
