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Ying Mao
Ying Mao
Associate Professor, Fordham University
Verified email at cis.fordham.edu - Homepage
Title
Cited by
Cited by
Year
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
3482020
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
137*2021
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
1222017
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
992021
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
752022
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
742019
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
73*2022
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
652023
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
642021
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
612014
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
592021
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
57*2021
MAC-layer rate control for 802.11 networks: A survey
W Yin, P Hu, J Indulska, M Portmann, Y Mao
Wireless Networks 26 (5), 3793-3830, 2020
502020
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
472019
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
472017
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
452022
An improved Wolf pack algorithm for optimization problems: Design and evaluation
X Chen, F Cheng, C Liu, L Cheng, Y Mao
Plos one 16 (8), e0254239, 2021
392021
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
392017
Next-generation phishing: How LLM agents empower cyber attackers
K Afane, W Wei, Y Mao, J Farooq, J Chen
2024 IEEE International Conference on Big Data (BigData), 2558-2567, 2024
382024
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
382019
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Articles 1–20