Ying Mao

According to our database, Ying Mao authored at least 65 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Quantum Reinforcement Learning for QoS-Aware Real-Time Job Scheduling in Cloud Systems.

Shuhong Dai, Nishant Saurabh, Qingle Wang, Jiawei Nian, Shuwen Kan, Ying Mao, Long Cheng

IEEE Syst. J., June, 2025

SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks.

Rahul Kumar, Wenqi Wei, Ying Mao, Junaid Farooq, Ying Wang, Juntao Chen

CoRR, June, 2025

Editorial: Neural network models in autonomous robotics.

Long Cheng, Ying Mao, Tomás Ward

Frontiers Neurorobotics, 2025

2024

QuantumEyes: Towards Better Interpretability of Quantum Circuits.

Shaolun Ruan, Qiang Guan, Paul Griffin, Ying Mao, Yong Wang

IEEE Trans. Vis. Comput. Graph., September, 2024

Privacy and Integrity Protection for IoT Multimodal Data Using Machine Learning and Blockchain.

Qingzhi Liu, Yuchen Huang, Chenglu Jin, Xiaohan Zhou, Ying Mao, Cagatay Catal, Long Cheng

ACM Trans. Multim. Comput. Commun. Appl., June, 2024

Efficient Circuit Cutting and Scheduling in a Multi-Node Quantum System with Dynamic EPR Pairs.

Zefan Du, Wenrui Zhang, Wenqi Wei, Juntao Chen, Tao Han, Zhiding Liang, Ying Mao

CoRR, 2024

Circuit Folding: Modular and Qubit-Level Workload Management in Quantum-Classical Systems.

Shuwen Kan, Yanni Li, Hao Wang, Sara Mouradian, Ying Mao

CoRR, 2024

Hardware-aware Circuit Cutting and Distributed Qubit Mapping for Connected Quantum Systems.

Zefan Du, Yanni Li, Zijian Mo, Wenqi Wei, Juntao Chen, Rajkumar Buyya, Ying Mao

CoRR, 2024

Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning.

Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei

CoRR, 2024

Resource-Efficient and Self-Adaptive Quantum Search in a Quantum-Classical Hybrid System.

Zihao Jiang, Zefan Du, Shaolun Ruan, Juntao Chen, Yong Wang, Long Cheng, Rajkumar Buyya, Ying Mao

CoRR, 2024

A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity.

Ryan L'Abbate, Anthony D'Onofrio Jr., Samuel Alexander Stein, Samuel Yen-Chi Chen, Ang Li, Pin-Yu Chen, Juntao Chen, Ying Mao

CoRR, 2024

Benchmarking Optimizers for Qumode State Preparation with Variational Quantum Algorithms.

Shuwen Kan, Miguel Palma, Zefan Du, Samuel Alexander Stein, Chenxu Liu, Juntao Chen, Ang Li, Ying Mao

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Scalable Circuit Cutting and Scheduling in a Resource-Constrained and Distributed Quantum System.

Shuwen Kan, Zefan Du, Miguel Palma, Samuel Alexander Stein, Chenxu Liu, Wenqi Wei, Juntao Chen, Ang Li, Ying Mao

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning.

Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Next-Generation Phishing: How LLM Agents Empower Cyber Attackers.

Khalifa Afane, Wenqi Wei, Ying Mao, Junaid Farooq, Juntao Chen

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Toward Network-Aware Query Execution Systems in Large Datacenters.

Long Cheng, Ying Wang, Rutvij H. Jhaveri, Qingle Wang, Ying Mao

IEEE Trans. Netw. Serv. Manag., December, 2023

Cost-aware scheduling systems for real-time workflows in cloud: An approach based on Genetic Algorithm and Deep Reinforcement Learning.

Jingwei Zhang, Long Cheng, Cong Liu, Zhiming Zhao, Ying Mao

Expert Syst. Appl., December, 2023

<i>VENUS</i>: A Geometrical Representation for Quantum State Visualization.

Shaolun Ruan, Ribo Yuan, Qiang Guan, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, Yong Wang

Comput. Graph. Forum, June, 2023

: A isualization pproah for Noie Awarenss in Quatum Computing.

Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, Qiang Guan

IEEE Trans. Vis. Comput. Graph., 2023

Differentiate Quality of Experience Scheduling for Deep Learning Inferences With Docker Containers in the Cloud.

Ying Mao, Weifeng Yan, Yun Song, Yue Zeng, Ming Chen, Long Cheng, Qingzhi Liu

IEEE Trans. Cloud Comput., 2023

Elastic Resource Management for Deep Learning Applications in a Container Cluster.

Ying Mao, Vaishali Sharma, Wenjia Zheng, Long Cheng, Qiang Guan, Ang Li

IEEE Trans. Cloud Comput., 2023

VENUS: A Geometrical Representation for Quantum State Visualization.

Shaolun Ruan, Ribo Yuan, Yong Wang, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, Qiang Guan

CoRR, 2023

HCoop: A Cooperative and Hybrid Resource Scheduling for Heterogeneous Jobs in Clouds.

Jinwei Liu, Rui Gong, Wei Dai, Wei Zheng, Ying Mao, Wei Zhou, Feng Deng

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2023

Sailfish: A Dependency-Aware and Resource Efficient Scheduling for Low Latency in Clouds.

Jinwei Liu, Yingjie Lao, Ying Mao, Rajkumar Buyya

Proceedings of the IEEE International Conference on Big Data, 2023

Distributed Quantum Learning with co-Management in a Multi-tenant Quantum System.

Anthony D'Onofrio Jr., Amir Hossain, Lesther Santana, Naseem Machlovi, Samuel Alexander Stein, Jinwei Liu, Ang Li, Ying Mao

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems.

Qingzhi Liu, Tiancong Xia, Long Cheng, Merijn van Eijk, Tanir Ozcelebi, Ying Mao

IEEE Trans. Parallel Distributed Syst., 2022

Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster.

Ying Mao, Yuqi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao

IEEE Syst. J., 2022

VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing.

Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, Qiang Guan

CoRR, 2022

Pinpointing the System Reliability Degradation in NISQ Machines.

Betis Baheri, Zixuan Xu, Vipin Chaudhary, Ying Mao, Bo Fang, Shuai Xu, Qiang Guan

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity.

Samuel Alexander Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Shuai Xu, Caiwen Ding

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Iterative Qubits Management for Quantum Index Searching in a Hybrid System.

Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen

Proceedings of the IEEE International Performance, 2022

Performance Evaluation of Resource Management Schemes for Cloud Native Platforms with Computing Containers.

Yuqi Fu, Naseem Machlovi, Ying Mao, Jiayin Wang, Long Cheng, Qingzhi Liu

Proceedings of the IEEE International Performance, 2022

QuCNN: A Quantum Convolutional Neural Network with Entanglement Based Backpropagation.

Samuel Alexander Stein, Ying Mao, James A. Ang, Ang Li

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

2021

Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers.

Long Cheng, Ying Wang, Qingzhi Liu, Dick H. J. Epema, Cheng Liu, Ying Mao, John Murphy

IEEE Trans. Parallel Distributed Syst., 2021

Optimizing Internal Overlaps by Self-Adjusting Resource Allocation in Multi-Stage Computing Systems.

Allen Yang, Jiayin Wang, Ying Mao, Yi Yao, Ningfang Mi, Bo Sheng

IEEE Access, 2021

QuGAN: A Quantum State Fidelity based Generative Adversarial Network.

Samuel Alexander Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Bo Fang, Shuai Xu

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021

Quantum Machine Learning for Electricity Theft Detection: an Initial Investigation.

Lianting Xue, Long Cheng, Yuancheng Li, Ying Mao

Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

A Hybrid System for Learning Classical Data in Quantum States.

Samuel Alexander Stein, Ryan L'Abbate, Wenrui Mu, Yue Liu, Betis Baheri, Ying Mao, Qiang Guan, Ang Li, Bo Fang

Proceedings of the IEEE International Performance, 2021

TQEA: Temporal Quantum Error Analysis.

Betis Baheri, Daniel Chen, Bo Fang, Samuel Alexander Stein, Vipin Chaudhary, Ying Mao, Shuai Xu, Ang Li, Qiang Guan

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

2020

MAC-layer rate control for 802.11 networks: a survey.

Wei Yin, Peizhao Hu, Jadwiga Indulska, Marius Portmann, Ying Mao

Wirel. Networks, 2020

A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems.

Xuan Chen, Long Cheng, Cong Liu, Qingzhi Liu, Jinwei Liu, Ying Mao, John Murphy

IEEE Syst. J., 2020

Quantum-Inspired Classical Algorithm for Slow Feature Analysis.

Daniel Chen, Yekun Xu, Betis Baheri, Samuel Alexander Stein, Chuan Bi, Ying Mao, Qiang Quan, Shuai Xu

CoRR, 2020

Enhancing Cloud Storage with Shareable Instances for Social Computing.

Ying Mao, Peizhao Hu

CoRR, 2020

Differentiate Quality of Experience Scheduling for Deep Learning Applications with Docker Containers in the Cloud.

Ying Mao, Weifeng Yan, Yun Song, Yue Zeng, Ming Chen, Long Cheng, Qingzhi Liu

CoRR, 2020

Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes.

Ying Mao, Yuqi Fu, Suwen Gu, Sudip Vhaduri, Long Cheng, Qingzhi Liu

CoRR, 2020

Quantum-Inspired Classical Algorithm for Principal Component Regression.

Daniel Chen, Yekun Xu, Betis Baheri, Chuan Bi, Ying Mao, Qiang Quan, Shuai Xu

CoRR, 2020

2019

Workload-Aware Task Placement in Edge-Assisted Human Re-identification.

Anil Acharya, Yantian Hou, Ying Mao, Min Xian, Jiawei Yuan

Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019

Edge-Assisted Image Processing with Joint Optimization of Responding and Placement Strategy.

Anil Acharya, Yantian Hou, Ying Mao, Jiawei Yuan

Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

FlowCon: Elastic Flow Configuration for Containerized Deep Learning Applications.

Wenjia Zheng, Michael Tynes, Henry Gorelick, Ying Mao, Long Cheng, Yantian Hou

Proceedings of the 48th International Conference on Parallel Processing, 2019

Target-based Resource Allocation for Deep Learning Applications in a Multi-tenancy System.

Wenjia Zheng, Yun Song, Zihao Guo, Yongchen Cui, Suwen Gu, Ying Mao, Long Cheng

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster.

Yuqi Fu, Shaolun Zhang, Jose Terrero, Ying Mao, Guangya Liu, Sheng Li, Dingwen Tao

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

MAC-Layer Rate Control for 802.11 Networks: Lesson Learned and Looking Forward.

Wei Yin, Peizhao Hu, Jadwiga Indulska, Marius Portmann, Ying Mao

CoRR, 2018

DRESS: Dynamic RESource-Reservation Scheme for Congested Data-Intensive Computing Platforms.

Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong, Zhishan Guo

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017

DRAPS: Dynamic and resource-aware placement scheme for docker containers in a heterogeneous cluster.

Ying Mao, Jenna Oak, Anthony Pompili, Daniel Beer, Tao Han, Peizhao Hu

Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017

SEINA: A stealthy and effective internal attack in Hadoop systems.

Jiayin Wang, Teng Wang, Zhengyu Yang, Ying Mao, Ningfang Mi, Bo Sheng

Proceedings of the 2017 International Conference on Computing, 2017

EDOS: Edge Assisted Offloading System for Mobile Devices.

Hank H. Harvey, Ying Mao, Yantian Hou, Bo Sheng

Proceedings of the 26th International Conference on Computer Communication and Networks, 2017

2016

Mobile Message Board: Location-based message dissemination in wireless ad-hoc networks.

Ying Mao, Jiayin Wang, Bo Sheng

Proceedings of the 2016 International Conference on Computing, 2016

2015

OMO: Optimize MapReduce overlap with a good start (reduce) and a good finish (map).

Jiayin Wang, Yi Yao, Ying Mao, Bo Sheng, Ningfang Mi

Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015

Building smartphone Ad-Hoc networks with long-range radios.

Ying Mao, Jiayin Wang, Bo Sheng, Fan Wu

Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015

2014

LAAR: Long-Range Radio Assisted Ad-Hoc Routing in MANETs.

Ying Mao, Jiayin Wang, Bo Sheng, Mooi Choo Chuah

Proceedings of the 22nd IEEE International Conference on Network Protocols, 2014

PASA: Passive broadcast for smartphone ad-hoc networks.

Ying Mao, Jiayin Wang, Joseph Paul Cohen, Bo Sheng

Proceedings of the 23rd International Conference on Computer Communication and Networks, 2014

Skyfiles: Efficient and secure cloud-assisted file management for mobile devices.

Ying Mao, Jiayin Wang, Bo Sheng

Proceedings of the IEEE International Conference on Communications, 2014

DAB: Dynamic and Agile Buffer-control for Streaming Videos on Mobile Devices.

Ying Mao, Jiayin Wang, Bo Sheng

Proceedings of the 9th International Conference on Future Networks and Communications (FNC'14) / The 11th International Conference on Mobile Systems and Pervasive Computing (MobiSPC'14) / Affiliated Workshops, 2014

FRESH: Fair and Efficient Slot Configuration and Scheduling for Hadoop Clusters.

Jiayin Wang, Yi Yao, Ying Mao, Bo Sheng, Ningfang Mi

Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

2012

Scalable Keyword-Based Data Retrievals in Future Content-Centric Networks.

Ying Mao, Bo Sheng, Mooi Choo Chuah

Proceedings of the 8th International Conference on Mobile Ad-hoc and Sensor Networks, 2012