Hoang-Dung Tran

Hoang-Dung Tran

University of Nebraska-Lincoln

H-index: 22

North America-United States

About Hoang-Dung Tran

Hoang-Dung Tran, With an exceptional h-index of 22 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Nebraska-Lincoln, specializes in the field of Safe AI, Cyber-Physical Systems, Formal Method, Control Theory.

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

Tutorial: Neural Network and Autonomous Cyber-Physical Systems Formal Verification for Trustworthy AI and Safe Autonomy

Decentralized Safe Control for Distributed Cyber-Physical Systems using Real-time Reachability Analysis

Reachability Analysis of Sigmoidal Neural Networks

NNV 2.0: The Neural Network Verification Tool

Evaluation of neural network verification methods for air-to-air collision avoidance

Verifying Binary Neural Networks on Continuous Input Space using Star Reachability

Verification of Recurrent Neural Networks with Star Reachability

Quantitative Verification for Neural Networks using ProbStars

Hoang-Dung Tran Information

University

Position

___

Citations(all)

2141

Citations(since 2020)

1987

Cited By

695

hIndex(all)

22

hIndex(since 2020)

20

i10Index(all)

37

i10Index(since 2020)

33

Email

University Profile Page

University of Nebraska-Lincoln

Google Scholar

View Google Scholar Profile

Hoang-Dung Tran Skills & Research Interests

Safe AI

Cyber-Physical Systems

Formal Method

Control Theory

Top articles of Hoang-Dung Tran

Title

Journal

Author(s)

Publication Date

Tutorial: Neural Network and Autonomous Cyber-Physical Systems Formal Verification for Trustworthy AI and Safe Autonomy

Hoang-Dung Tran

Diego Manzanas Lopez

Taylor Johnson

2023/9/17

Decentralized Safe Control for Distributed Cyber-Physical Systems using Real-time Reachability Analysis

IEEE Transactions on Control of Network Systems

Luan Viet Nguyen

Hoang-Dung Tran

Taylor Johnson

Vijay Gupta

2023/1/24

Reachability Analysis of Sigmoidal Neural Networks

ACM Transactions on Embedded Computing Systems

Sung Woo Choi

Michael Ivashchenko

Luan V Nguyen

Hoang-Dung Tran

2023

NNV 2.0: The Neural Network Verification Tool

Diego Manzanas Lopez

Sung Woo Choi

Hoang-Dung Tran

Taylor T Johnson

2023/7/17

Evaluation of neural network verification methods for air-to-air collision avoidance

Journal of Air Transportation

Diego Manzanas Lopez

Taylor T Johnson

Stanley Bak

Hoang-Dung Tran

Kerianne L Hobbs

2023/1

Verifying Binary Neural Networks on Continuous Input Space using Star Reachability

Mykhailo Ivashchenko

Sung Woo Choi

Luan Viet Nguyen

Hoang-Dung Tran

2023/5/14

Verification of Recurrent Neural Networks with Star Reachability

Hoang Dung Tran

Sung Woo Choi

Xiaodong Yang

Tomoya Yamaguchi

Bardh Hoxha

...

2023/5/9

Quantitative Verification for Neural Networks using ProbStars

Hoang-Dung Tran

Sungwoo Choi

Hideki Okamoto

Bardh Hoxha

Georgios Fainekos

...

2023/5/9

Neural Network Compression of ACAS Xu Early Prototype Is Unsafe: Closed-Loop Verification Through Quantized State Backreachability

Stanley Bak

Hoang-Dung Tran

2022

Neural network repair with reachability analysis

Xiaodong Yang

Tom Yamaguchi

Hoang-Dung Tran

Bardh Hoxha

Taylor T Johnson

...

2022/8/29

Verification of piecewise deep neural networks: a star set approach with zonotope pre-filter

Formal aspects of computing

Hoang-Dung Tran

Neelanjana Pal

Diego Manzanas Lopez

Patrick Musau

Xiaodong Yang

...

2021/8

Reachability Analysis of Convolutional Neural Networks

arXiv preprint arXiv:2106.12074

Xiaodong Yang

Tomoya Yamaguchi

Hoang-Dung Tran

Bardh Hoxha

Taylor T Johnson

...

2021/6/22

Reachability analysis of deep ReLU neural networks using facet-vertex incidence.

Xiaodong Yang

Taylor T Johnson

Hoang-Dung Tran

Tomoya Yamaguchi

Bardh Hoxha

...

2021/5/19

Robustness verification of semantic segmentation neural networks using relaxed reachability

Hoang-Dung Tran

Neelanjana Pal

Patrick Musau

Diego Manzanas Lopez

Nathaniel Hamilton

...

2021

Verification of Neural Network Compression of ACAS Xu Lookup Tables with Star Set Reachability

Diego Manzanas Lopez

Taylor Johnson

Hoang-Dung Tran

Stanley Bak

Xin Chen

...

2021

Reachable set estimation for neural network control systems: A simulation-guided approach

IEEE Transactions on Neural Networks and Learning Systems

Weiming Xiang

Hoang-Dung Tran

Xiaodong Yang

Taylor T Johnson

2020/5/14

ARCH-COMP20 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants

EPiC Series in Computing

Taylor T Johnson

Diego Manzanas Lopez

Patrick Musau

Hoang-Dung Tran

Elena Botoeva

...

2020/9

The Neural Network Verification (NNV) Tool

Hoang-Dung Tran

Diego Manzanas Lopez

Xiaodong Yang

Patrick Musau

Luan Viet Nguyen

...

2020/4/21

Verification approaches for learning-enabled autonomous cyber–physical systems

IEEE Design & Test

Hoang-Dung Tran

Weiming Xiang

Taylor T Johnson

2020/8/12

Reachability Analysis for Feed-Forward Neural Networks using Face Lattices

arXiv preprint arXiv:2003.01226

Xiaodong Yang

Hoang-Dung Tran

Weiming Xiang

Taylor Johnson

2020/3/2

See List of Professors in Hoang-Dung Tran University(University of Nebraska-Lincoln)

Co-Authors

H-index: 32
Taylor T Johnson

Taylor T Johnson

Vanderbilt University

H-index: 30
Stanley Bak

Stanley Bak

Stony Brook University

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