| A WOA-based optimization approach for task scheduling in cloud computing systems X Chen, L Cheng, C Liu, Q Liu, J Liu, Y Mao, J Murphy IEEE Systems journal 14 (3), 3117-3128, 2020 | 267 | 2020 |
| Draps: Dynamic and resource-aware placement scheme for docker containers in a heterogeneous cluster Y Mao, J Oak, A Pompili, D Beer, T Han, P Hu 2017 IEEE 36th International Performance Computing and Communications …, 2017 | 112 | 2017 |
| Qugan: A quantum state fidelity based generative adversarial network SA Stein, B Baheri, D Chen, Y Mao, Q Guan, A Li, B Fang, S Xu 2021 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2021 | 99* | 2021 |
| Deep reinforcement learning for load-balancing aware network control in IoT edge systems Q Liu, T Xia, L Cheng, M Van Eijk, T Ozcelebi, Y Mao IEEE Transactions on Parallel and Distributed Systems 33 (6), 1491-1502, 2021 | 70 | 2021 |
| Quclassi: A hybrid deep neural network architecture based on quantum state fidelity SA Stein, B Baheri, D Chen, Y Mao, Q Guan, A Li, S Xu, C Ding Proceedings of Machine Learning and Systems 4, 251-264, 2022 | 62 | 2022 |
| Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster Y Fu, S Zhang, J Terrero, Y Mao, G Liu, S Li, D Tao 2019 IEEE International Conference on Big Data (BigData'19), 2019 | 62 | 2019 |
| Fresh: Fair and efficient slot configuration and scheduling for hadoop clusters J Wang, Y Yao, Y Mao, B Sheng, N Mi 2014 IEEE 7th International Conference on Cloud Computing, 761-768, 2014 | 62 | 2014 |
| Network-aware locality scheduling for distributed data operators in data centers L Cheng, Y Wang, Q Liu, DHJ Epema, C Liu, Y Mao, J Murphy IEEE Transactions on Parallel and Distributed Systems 32 (6), 1494-1510, 2021 | 56 | 2021 |
| Performance evaluation of resource management schemes for cloud native platforms with computing containers Y Fu, N Machlovi, Y Mao, J Wang, L Cheng, Q Liu 2022 IEEE International Performance, Computing, and Communications …, 2022 | 53* | 2022 |
| A hybrid system for learning classical data in quantum states SA Stein, R L’Abbate, W Mu, Y Liu, B Baheri, Y Mao, G Qiang, A Li, ... 2021 IEEE International Performance, Computing, and Communications …, 2021 | 48* | 2021 |
| SEINA: A Stealthy and Effective Internal Attack in Hadoop Systems J Wang, T Wang, Z Yang, Y Mao, N Mi, B Sheng International Conference on Computing, Networking and Communications, 2017 | 47 | 2017 |
| FlowCon: Elastic Flow Configuration for Containerized Deep Learning Applications W Zheng, M Tynes, H Gorelick, Y Mao, L Cheng, Y Hou ACM the 48th International Conference on Parallel Processing (ICPP '19), 2019 | 43 | 2019 |
| Speculative container scheduling for deep learning applications in a kubernetes cluster Y Mao, Y Fu, W Zheng, L Cheng, Q Liu, D Tao IEEE Systems Journal 16 (3), 3770-3781, 2021 | 40 | 2021 |
| MAC-layer rate control for 802.11 networks: A survey W Yin, P Hu, J Indulska, M Portmann, Y Mao Wireless Networks 26, 3793-3830, 2020 | 40* | 2020 |
| EDOS: Edge Assisted Offloading System for Mobile Devices H Harvey, Y Mao, Y Hou, B Sheng The 26th International Conference on Computer Communications and Networks …, 2017 | 39 | 2017 |
| Target-based Resource Allocation for Deep Learning Applications in a Multi-tenancy System W Zheng, Y Song, Z Guo, Y Cui, S Gu, Y Mao, L Cheng 2019 IEEE High Performance Extreme Computing Conference(HPEC '19), 2019 | 36 | 2019 |
| Cost-aware scheduling systems for real-time workflows in cloud: An approach based on genetic algorithm and deep reinforcement learning J Zhang, L Cheng, C Liu, Z Zhao, Y Mao Expert Systems with Applications 234, 120972, 2023 | 34 | 2023 |
| VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing S Ruan, Y Wang, W Jiang, Y Mao, Q Guan IEEE Transactions on Visualization and Computer Graphics 29 (1), 462-472, 2022 | 34 | 2022 |
| Pasa: Passive broadcast for smartphone ad-hoc networks Y Mao, J Wang, JP Cohen, B Sheng 2014 23rd International Conference on Computer Communication and Networks …, 2014 | 32 | 2014 |
| Differentiate quality of experience scheduling for deep learning inferences with docker containers in the cloud Y Mao, W Yan, Y Song, Y Zeng, M Chen, L Cheng, Q Liu IEEE Transactions on Cloud Computing 11 (2), 1667-1677, 2022 | 30* | 2022 |
