Tony T. Luo

Tony T. Luo

Missouri University of Science and Technology

H-index: 25

North America-United States

About Tony T. Luo

Tony T. Luo, With an exceptional h-index of 25 and a recent h-index of 19 (since 2020), a distinguished researcher at Missouri University of Science and Technology, specializes in the field of Trustworthy AI, Machine learning, Internet of things, Cybersecurity.

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

LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate

CR-SAM: Curvature Regularized Sharpness-Aware Minimization

Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision

Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation

Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDM

Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning

LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing

Black-Box Attack using Adversarial Examples: A New Method of Improving Transferability

Tony T. Luo Information

University

Position

Associated Professor Computer Science Department

Citations(all)

3286

Citations(since 2020)

1680

Cited By

2295

hIndex(all)

25

hIndex(since 2020)

19

i10Index(all)

48

i10Index(since 2020)

36

Email

University Profile Page

Missouri University of Science and Technology

Google Scholar

View Google Scholar Profile

Tony T. Luo Skills & Research Interests

Trustworthy AI

Machine learning

Internet of things

Cybersecurity

Top articles of Tony T. Luo

Title

Journal

Author(s)

Publication Date

LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate

Tao Wu

Tie Luo

Donald C Wunsch

2024/2/26

CR-SAM: Curvature Regularized Sharpness-Aware Minimization

Tao Wu

Tie Luo

Donald C Wunsch

2024/2/26

Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision

Yasmine Mustafa

Tie Luo

2024/2/25

Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation

Xiaohui Chen

Tie Luo

2024/2/25

Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDM

IEEE Journal on Selected Areas in Communications (JSAC)

Mohamed Elmahallawy

Tie Luo

Khaled Ramadan

2024

Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning

Mohamed Elmahallawy

Tie Luo

2024/3

LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing

Ronit Das

Tie Luo

2023/7

Black-Box Attack using Adversarial Examples: A New Method of Improving Transferability

World Scientific Annual Review of Artificial Intelligence

Tao Wu

Tie Luo

Donald C Wunsch

2023/2/16

Secure and efficient federated learning in LEO constellations using decentralized key generation and on-orbit model aggregation

Mohamed Elmahallawy

Tie Luo

Mohamed I Ibrahem

2023/12

YOGA: Deep object detection in the wild with lightweight feature learning and multiscale attention

Pattern Recognition (Elsevier Journal)

Raja Sunkara

Tie Luo

2023/7/1

Catching Elusive Depression via Facial Micro-Expression Recognition

IEEE Communications Magazine

Xiaohui Chen

Tie Luo

2023/10/27

TSI-GAN: Unsupervised Time Series Anomaly Detection Using Convolutional Cycle-Consistent Generative Adversarial Networks

Shyam Sundar Saravanan

Tie Luo

Mao Van Ngo

2023/5/25

A brain-computer interface augmented reality framework with auto-adaptive ssvep recognition

Yasmine Mustafa

Mohamed Elmahallawy

Tie Luo

Seif Eldawlatly

2023/10/25

Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling

Mohamed Elmahallawy

Tie Luo

2023/5

Gnp attack: Transferable adversarial examples via gradient norm penalty

Tao Wu

Tie Luo

Donald C Wunsch

2023/10/8

Digital Twin Graph: Automated Domain-Agnostic Construction, Fusion, and Simulation of IoT-Enabled World

arXiv preprint arXiv:2304.10018

Jiadi Du

Tie Luo

2023/4/20

One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes

Mohamed Elmahallawy

Tie Luo

2023/7

Diagnosing Alzheimer's Disease using Early-Late Multimodal Data Fusion with Jacobian Maps

IEEE Healthcom

Yasmine Mustafa

Tie Luo

2023/12

No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects

Raja Sunkara

Tie Luo

2022/9

AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms

Mohamed Elmahallawy

Tie Luo

2022/12/22

See List of Professors in Tony T. Luo University(Missouri University of Science and Technology)

Co-Authors

H-index: 87
Ivan Stojmenovic

Ivan Stojmenovic

University of Ottawa

H-index: 62
Jie Zhang

Jie Zhang

Nanyang Technological University

H-index: 57
Donald C Wunsch II

Donald C Wunsch II

Missouri University of Science and Technology

H-index: 44
Hongyi Wu

Hongyi Wu

Old Dominion University

H-index: 42
Fan Wu

Fan Wu

Shanghai Jiao Tong University

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