Ying Mao

78 papers A 1B 8C 7Misc 7Journal 43Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Differentiable Architecture Search for Adversarially Robust Quantum Computer Vision.
CoRR
Mohamed Afane, Quanjiang Long, Haoting Shen, Ying Mao, Junaid Farooq, Ying Wang, Juntao Chen
2026 J jnl
Differentiable architecture search for adversarially robust quantum computer vision.
Quantum Mach. Intell.
Mohamed Afane, Quanjiang Long, Haoting Shen, Ying Mao, Junaid Farooq, Ying Wang, Juntao Chen
2026 J jnl
Quantum-Audit: Evaluating the Reasoning Limits of LLMs on Quantum Computing.
CoRR
Mohamed Afane, Kayla Laufer, Wenqi Wei, Ying Mao, Muhammad Junaid Farooq, Ying Wang, Juntao Chen
2025 J jnl
Editorial: Neural network models in autonomous robotics.
Frontiers Neurorobotics
Long Cheng, Ying Mao, Tomás Ward
2025 — conf
Multi-Agent Reinforcement Learning with Serverless Computing.
SoCC
Rui Wei, Hanfei Yu, Xikang Song, Jian Li, Devesh Tiwari, Ying Mao, Hao Wang
2025 J jnl
Quantum Reinforcement Learning for QoS-Aware Real-Time Job Scheduling in Cloud Systems.
IEEE Syst. J.
Shuhong Dai, Nishant Saurabh, Qingle Wang, Jiawei Nian, Shuwen Kan, Ying Mao, Long Cheng
2025 J jnl
SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks.
CoRR
Rahul Kumar, Wenqi Wei, Ying Mao, Junaid Farooq, Ying Wang, Juntao Chen
2024 J jnl
A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity.
CoRR
Ryan L'Abbate, Anthony D'Onofrio Jr., Samuel A. Stein, Samuel Yen-Chi Chen, Ang Li, Pin-Yu Chen, Juntao Chen, Ying Mao
2024 Misc conf
Benchmarking Optimizers for Qumode State Preparation with Variational Quantum Algorithms.
QCE
Shuwen Kan, Miguel Palma, Zefan Du, Samuel A. Stein, Chenxu Liu, Juntao Chen, Ang Li, Ying Mao
2024 J jnl
Circuit Folding: Modular and Qubit-Level Workload Management in Quantum-Classical Systems.
CoRR
Shuwen Kan, Yanni Li, Hao Wang, Sara Mouradian, Ying Mao
2024 A conf
Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning.
ICDCS
Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei
2024 J jnl
Efficient Circuit Cutting and Scheduling in a Multi-Node Quantum System with Dynamic EPR Pairs.
CoRR
Zefan Du, Wenrui Zhang, Wenqi Wei, Juntao Chen, Tao Han, Zhiding Liang, Ying Mao
2024 J jnl
Hardware-aware Circuit Cutting and Distributed Qubit Mapping for Connected Quantum Systems.
CoRR
Zefan Du, Yanni Li, Zijian Mo, Wenqi Wei, Juntao Chen, Rajkumar Buyya, Ying Mao
2024 B conf
Next-Generation Phishing: How LLM Agents Empower Cyber Attackers.
IEEE Big Data
Khalifa Afane, Wenqi Wei, Ying Mao, Junaid Farooq, Juntao Chen
2024 J jnl
Next-Generation Phishing: How LLM Agents Empower Cyber Attackers.
CoRR
Khalifa Afane, Wenqi Wei, Ying Mao, Junaid Farooq, Juntao Chen
2024 J jnl
Privacy and Integrity Protection for IoT Multimodal Data Using Machine Learning and Blockchain.
ACM Trans. Multim. Comput. Commun. Appl.
Qingzhi Liu, Yuchen Huang, Chenglu Jin, Xiaohan Zhou, Ying Mao, Cagatay Catal, Long Cheng
2024 J jnl
QuantumEyes: Towards Better Interpretability of Quantum Circuits.
IEEE Trans. Vis. Comput. Graph.
Shaolun Ruan, Qiang Guan, Paul Griffin, Ying Mao, Yong Wang
2024 J jnl
Resource-Efficient and Self-Adaptive Quantum Search in a Quantum-Classical Hybrid System.
CoRR
Zihao Jiang, Zefan Du, Shaolun Ruan, Juntao Chen, Yong Wang, Long Cheng, Rajkumar Buyya, Ying Mao
2024 Misc conf
Scalable Circuit Cutting and Scheduling in a Resource-Constrained and Distributed Quantum System.
QCE
Shuwen Kan, Zefan Du, Miguel Palma, Samuel A. Stein, Chenxu Liu, Wenqi Wei, Juntao Chen, Ang Li, Ying Mao
2024 J jnl
Scalable Circuit Cutting and Scheduling in a Resource-constrained and Distributed Quantum System.
CoRR
Shuwen Kan, Zefan Du, Miguel Palma, Samuel A. Stein, Chenxu Liu, Wenqi Wei, Juntao Chen, Ang Li, Ying Mao
2024 J jnl
Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning.
CoRR
Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei
2023 J jnl
: A isualization pproah for Noie Awarenss in Quatum Computing.
IEEE Trans. Vis. Comput. Graph.
Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, Qiang Guan
2023 J jnl
Cost-aware scheduling systems for real-time workflows in cloud: An approach based on Genetic Algorithm and Deep Reinforcement Learning.
Expert Syst. Appl.
Jingwei Zhang, Long Cheng, Cong Liu, Zhiming Zhao, Ying Mao
2023 J jnl
Differentiate Quality of Experience Scheduling for Deep Learning Inferences With Docker Containers in the Cloud.
IEEE Trans. Cloud Comput.
Ying Mao, Weifeng Yan, Yun Song, Yue Zeng, Ming Chen, Long Cheng, Qingzhi Liu
2023 B conf
Distributed Quantum Learning with co-Management in a Multi-tenant Quantum System.
IEEE Big Data
Anthony D'Onofrio Jr., Amir Hossain, Lesther Santana, Naseem Machlovi, Samuel A. Stein, Jinwei Liu, Ang Li, Ying Mao
2023 J jnl
Distributed Quantum Learning with co-Management in a Multi-tenant Quantum System.
CoRR
Anthony D'Onofrio Jr., Amir Hossain, Lesther Santana, Naseem Machlovi, Samuel A. Stein, Jinwei Liu, Ang Li, Ying Mao
2023 J jnl
Elastic Resource Management for Deep Learning Applications in a Container Cluster.
IEEE Trans. Cloud Comput.
Ying Mao, Vaishali Sharma, Wenjia Zheng, Long Cheng, Qiang Guan, Ang Li
2023 C conf
HCoop: A Cooperative and Hybrid Resource Scheduling for Heterogeneous Jobs in Clouds.
CloudCom
Jinwei Liu, Rui Gong, Wei Dai, Wei Zheng, Ying Mao, Wei Zhou, Feng Deng
2023 J jnl
QuantumEyes: Towards Better Interpretability of Quantum Circuits.
CoRR
Shaolun Ruan, Qiang Guan, Paul Griffin, Ying Mao, Yong Wang
2023 B conf
Sailfish: A Dependency-Aware and Resource Efficient Scheduling for Low Latency in Clouds.
IEEE Big Data
Jinwei Liu, Yingjie Lao, Ying Mao, Rajkumar Buyya
2023 J jnl
Toward Network-Aware Query Execution Systems in Large Datacenters.
IEEE Trans. Netw. Serv. Manag.
Long Cheng, Ying Wang, Rutvij H. Jhaveri, Qingle Wang, Ying Mao
2023 J jnl
VENUS: A Geometrical Representation for Quantum State Visualization.
CoRR
Shaolun Ruan, Ribo Yuan, Yong Wang, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, Qiang Guan
2022 J jnl
Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems.
IEEE Trans. Parallel Distributed Syst.
Qingzhi Liu, Tiancong Xia, Long Cheng, Merijn van Eijk, Tanir Ozcelebi, Ying Mao
2022 C conf
Iterative Qubits Management for Quantum Index Searching in a Hybrid System.
IPCCC
Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen
2022 J jnl
Iterative Qubits Management for Quantum Index Searching in a Hybrid System.
CoRR
Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen
2022 C conf
Performance Evaluation of Resource Management Schemes for Cloud Native Platforms with Computing Containers.
IPCCC
YuQi Fu, Naseem Machlovi, Ying Mao, Jiayin Wang, Long Cheng, Qingzhi Liu
2022 Misc conf
Pinpointing the System Reliability Degradation in NISQ Machines.
QCE
Betis Baheri, Zixuan Xu, Vipin Chaudhary, Ying Mao, Bo Fang, Shuai Xu, Qiang Guan
2022 J jnl
QuCNN : A Quantum Convolutional Neural Network with Entanglement Based Backpropagation.
CoRR
Samuel A. Stein, Ying Mao, James Ang, Ang Li
2022 Misc conf
QuCNN: A Quantum Convolutional Neural Network with Entanglement Based Backpropagation.
SEC
Samuel A. Stein, Ying Mao, James Ang, Ang Li
2022 — conf
QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity.
MLSys
Samuel A. Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Shuai Xu, Caiwen Ding
2022 J jnl
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster.
IEEE Syst. J.
Ying Mao, YuQi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao
2022 J jnl
VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing.
CoRR
Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, Qiang Guan
2021 C conf
A Hybrid System for Learning Classical Data in Quantum States.
IPCCC
Samuel A. Stein, Ryan L'Abbate, Wenrui Mu, Yue Liu, Betis Baheri, Ying Mao, Qiang Guan, Ang Li, Bo Fang
2021 J jnl
Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers.
IEEE Trans. Parallel Distributed Syst.
Long Cheng, Ying Wang, Qingzhi Liu, Dick H. J. Epema, Cheng Liu, Ying Mao, John Murphy
2021 J jnl
Optimizing Internal Overlaps by Self-Adjusting Resource Allocation in Multi-Stage Computing Systems.
IEEE Access
Allen Yang, Jiayin Wang, Ying Mao, Yi Yao, Ningfang Mi, Bo Sheng
2021 Misc conf
QuGAN: A Quantum State Fidelity based Generative Adversarial Network.
QCE
Samuel A. Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Bo Fang, Shuai Xu
2021 — conf
Quantum Machine Learning for Electricity Theft Detection: an Initial Investigation.
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Lianting Xue, Long Cheng, Yuancheng Li, Ying Mao
2021 — conf
TQEA: Temporal Quantum Error Analysis.
DSN (Supplements)
Betis Baheri, Daniel Chen, Bo Fang, Samuel A. Stein, Vipin Chaudhary, Ying Mao, Shuai Xu, Ang Li, Qiang Guan
2020 J jnl
A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems.
IEEE Syst. J.
Xuan Chen, Long Cheng, Cong Liu, Qingzhi Liu, Jinwei Liu, Ying Mao, John Murphy
2020 J jnl
Differentiate Quality of Experience Scheduling for Deep Learning Applications with Docker Containers in the Cloud.
CoRR
Ying Mao, Weifeng Yan, Yun Song, Yue Zeng, Ming Chen, Long Cheng, Qingzhi Liu
2020 J jnl
Enhancing Cloud Storage with Shareable Instances for Social Computing.
CoRR
Ying Mao, Peizhao Hu
2020 J jnl
MAC-layer rate control for 802.11 networks: a survey.
Wirel. Networks
Wei Yin, Peizhao Hu, Jadwiga Indulska, Marius Portmann, Ying Mao
2020 J jnl
Quantum-Inspired Classical Algorithm for Principal Component Regression.
CoRR
Daniel Chen, Yekun Xu, Betis Baheri, Chuan Bi, Ying Mao, Qiang Quan, Shuai Xu
2020 J jnl
Quantum-Inspired Classical Algorithm for Slow Feature Analysis.
CoRR
Daniel Chen, Yekun Xu, Betis Baheri, Samuel A. Stein, Chuan Bi, Ying Mao, Qiang Quan, Shuai Xu
2020 J jnl
Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes.
CoRR
Ying Mao, YuQi Fu, Suwen Gu, Sudip Vhaduri, Long Cheng, Qingzhi Liu
2020 J jnl
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster.
CoRR
Ying Mao, YuQi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao
2019 — conf
Edge-Assisted Image Processing with Joint Optimization of Responding and Placement Strategy.
iThings/GreenCom/CPSCom/SmartData
Anil Acharya, Yantian Hou, Ying Mao, Jiawei Yuan
2019 B conf
FlowCon: Elastic Flow Configuration for Containerized Deep Learning Applications.
ICPP
Wenjia Zheng, Michael Tynes, Henry Gorelick, Ying Mao, Long Cheng, Yantian Hou
2019 — conf
Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster.
IEEE BigData
YuQi Fu, Shaolun Zhang, Jose Terrero, Ying Mao, Guangya Liu, Sheng Li, Dingwen Tao
2019 — conf
Target-based Resource Allocation for Deep Learning Applications in a Multi-tenancy System.
HPEC
Wenjia Zheng, Yun Song, Zihao Guo, Yongchen Cui, Suwen Gu, Ying Mao, Long Cheng
2019 B conf
Workload-Aware Task Placement in Edge-Assisted Human Re-identification.
SECON
Anil Acharya, Yantian Hou, Ying Mao, Min Xian, Jiawei Yuan
2018 J jnl
DRAPS: Dynamic and Resource-Aware Placement Scheme for Docker Containers in a Heterogeneous Cluster.
CoRR
Ying Mao, Jenna Oak, Anthony Pompili, Daniel Beer, Tao Han, Peizhao Hu
2018 — conf
DRESS: Dynamic RESource-Reservation Scheme for Congested Data-Intensive Computing Platforms.
IEEE CLOUD
Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong, Zhishan Guo
2018 J jnl
DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms.
CoRR
Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong, Zhishan Guo
2018 J jnl
MAC-Layer Rate Control for 802.11 Networks: Lesson Learned and Looking Forward.
CoRR
Wei Yin, Peizhao Hu, Jadwiga Indulska, Marius Portmann, Ying Mao
2017 C conf
DRAPS: Dynamic and resource-aware placement scheme for docker containers in a heterogeneous cluster.
IPCCC
Ying Mao, Jenna Oak, Anthony Pompili, Daniel Beer, Tao Han, Peizhao Hu
2017 B conf
EDOS: Edge Assisted Offloading System for Mobile Devices.
ICCCN
Hank H. Harvey, Ying Mao, Yantian Hou, Bo Sheng
2017 J jnl
EDOS: Edge Assisted Offloading System for Mobile Devices.
CoRR
Hank H. Harvey, Ying Mao, Yantian Hou, Bo Sheng
2017 Misc conf
SEINA: A stealthy and effective internal attack in Hadoop systems.
ICNC
Jiayin Wang, Teng Wang, Zhengyu Yang, Ying Mao, Ningfang Mi, Bo Sheng
2016 Misc conf
Mobile Message Board: Location-based message dissemination in wireless ad-hoc networks.
ICNC
Ying Mao, Jiayin Wang, Bo Sheng
2015 C conf
Building smartphone Ad-Hoc networks with long-range radios.
IPCCC
Ying Mao, Jiayin Wang, Bo Sheng, Fan Wu
2015 C conf
OMO: Optimize MapReduce overlap with a good start (reduce) and a good finish (map).
IPCCC
Jiayin Wang, Yi Yao, Ying Mao, Bo Sheng, Ningfang Mi
2014 — conf
DAB: Dynamic and Agile Buffer-control for Streaming Videos on Mobile Devices.
FNC/MobiSPC
Ying Mao, Jiayin Wang, Bo Sheng
2014 — conf
FRESH: Fair and Efficient Slot Configuration and Scheduling for Hadoop Clusters.
IEEE CLOUD
Jiayin Wang, Yi Yao, Ying Mao, Bo Sheng, Ningfang Mi
2014 B conf
LAAR: Long-Range Radio Assisted Ad-Hoc Routing in MANETs.
ICNP
Ying Mao, Jiayin Wang, Bo Sheng, Mooi Choo Chuah
2014 B conf
PASA: Passive broadcast for smartphone ad-hoc networks.
ICCCN
Ying Mao, Jiayin Wang, Joseph Paul Cohen, Bo Sheng
2014 — conf
Skyfiles: Efficient and secure cloud-assisted file management for mobile devices.
ICC
Ying Mao, Jiayin Wang, Bo Sheng
2012 — conf
Scalable Keyword-Based Data Retrievals in Future Content-Centric Networks.
MSN
Ying Mao, Bo Sheng, Mooi Choo Chuah