Ying Mao

Ying Mao

Fordham University

H-index: 20

North America-United States

About Ying Mao

Ying Mao, With an exceptional h-index of 20 and a recent h-index of 19 (since 2020), a distinguished researcher at Fordham University, specializes in the field of Quantum Applications, Quantum Software, Cloud System, Kubernetes.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Privacy and Integrity Protection for IoT Multimodal Data using Machine Learning and Blockchain

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

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

Distributed quantum learning with co-management in a multi-tenant quantum system

QuantumEyes: Towards Better Interpretability of Quantum Circuits

VENUS: A Geometrical Representation for Quantum State Visualization

Towards Network-aware Query Execution Systems in Large Datacenters

Ying Mao Information

University

Position

Assistant Professor

Citations(all)

1138

Citations(since 2020)

1015

Cited By

378

hIndex(all)

20

hIndex(since 2020)

19

i10Index(all)

27

i10Index(since 2020)

26

Email

University Profile Page

Google Scholar

Ying Mao Skills & Research Interests

Quantum Applications

Quantum Software

Cloud System

Kubernetes

Top articles of Ying Mao

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

IEEE Transactions on Quantum Engineering

2024/2/19

Privacy and Integrity Protection for IoT Multimodal Data using Machine Learning and Blockchain

ACM Transactions on Multimedia Computing, Communications and Applications

2024

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

Expert Systems with Applications

2023/12/30

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

2023/12/15

Yingjie Lao
Yingjie Lao

H-Index: 12

Ying Mao
Ying Mao

H-Index: 11

Distributed quantum learning with co-management in a multi-tenant quantum system

2023/12/15

Ang Li
Ang Li

H-Index: 8

Ying Mao
Ying Mao

H-Index: 11

QuantumEyes: Towards Better Interpretability of Quantum Circuits

IEEE Transactions on Visualization and Computer Graphics

2023/11/15

VENUS: A Geometrical Representation for Quantum State Visualization

Computer Graphics Forum

2023/6

Towards Network-aware Query Execution Systems in Large Datacenters

IEEE Transactions on Network and Service Management

2023/5/4

Qucnn: A quantum convolutional neural network with entanglement based backpropagation

2022/12/5

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

2022/11/11

Iterative qubits management for quantum index searching in a hybrid system

2022/11/11

Ying Mao
Ying Mao

H-Index: 11

Long Cheng
Long Cheng

H-Index: 2

VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing

IEEE Transactions on Visualization and Computer Graphics

2022/9/27

Pinpointing the system reliability degradation in nisq machines

2022/9/18

Elastic resource management for deep learning applications in a container cluster

IEEE Transactions on Cloud Computing

2022/7/27

Quclassi: A hybrid deep neural network architecture based on quantum state fidelity

Proceedings of Machine Learning and Systems

2022/4/22

Differentiate quality of experience scheduling for deep learning inferences with docker containers in the cloud

IEEE Transactions on Cloud Computing

2022/3/1

Quantum machine learning for electricity theft detection: An initial investigation

2021/12/6

A hybrid system for learning classical data in quantum states

2021/10/29

Qugan: A quantum state fidelity based generative adversarial network

2021/10/17

Deep reinforcement learning for load-balancing aware network control in IoT edge systems

IEEE Transactions on Parallel and Distributed Systems

2021/10

See List of Professors in Ying Mao University(Fordham University)