Yongming Liu

发表

ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation pdf

Jingrui He, Jun Wu, Yongming Liu, 2018, 2018 IEEE International Conference on Big Data (Big Data).

An Integrated Computational Framework for Microstructure-Sensitive Materials Modeling

Yongming Liu, Yang Jiao, Hailong Chen, 2019, AIAA Scitech 2019 Forum.

Physics-based Learning for Aircraft Dynamics Simulation

Yongming Liu, Houpu Yao, Yang Yu, 2018, Annual Conference of the PHM Society.

ImVerde: Vertex-Diminished Random Walk for Learning Network Representation from Imbalanced Data

Jingrui He, J. Wu, Yongming Liu, 2018, ArXiv.

An Equivalent Creep Crack Growth Model for Probabilistic Life Prediction of Plastic Pipe Materials

Yongming Liu, T. Peng, E. Lever, 2020 .

Probabilistic life prediction of plastic pipes using an equivalent crack growth model

Yongming Liu, T. Peng, Yuhao Wang, 2018 .

Probabilistic life prediction and prognostics-based maintenance optimization for gas pipelines

Yongming Liu, Yuhao Wang, 2017 .

Convolutional Neural Networks for Multi-fidelity Data Aggregation

Yongming Liu, Yi Gao, Jie Chen, 2022, AIAA SCITECH 2022 Forum.

FEA-Net: A Deep Convolutional Neural Network With PhysicsPrior For Efficient Data Driven PDE Learning

Yi Ren, Yongming Liu, Houpu Yao, 2019, AIAA Scitech 2019 Forum.

Aircraft dynamics simulation using a novel physics-based learning method

Yongming Liu, Houpu Yao, Yang Yu, 2019, Aerospace Science and Technology.

Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines pdf

Guannan Qu, Weichang Wang, Yutian Pang, 2021, Neurocomputing.

Efficient high-dimensional material reliability analysis with explicit voxel-level stochastic microstructure representation

Yongming Liu, Yang Jiao, Yi Gao, 2021 .

Active Learning-based Efficient Separation Risk Assessment in National Airspace System

Yongming Liu, Hari Iyer, Parikshit Dutta, 2019, AIAA Aviation 2019 Forum.

Adjoint Gradient-enhanced Kriging Model for Time-dependent Reliability Analysis

Yi Gao, Yongming Liu, Yongming Liu, 2019, AIAA Scitech 2019 Forum.

Probabilistic Failure Analysis for ICME Using An Adjoint-based Lattice Particle Method.

Yi Gao, Yongming Liu, Yongming Liu, 2019, AIAA Scitech 2019 Forum.

Information fusion for national airspace system prognostics: A NASA ULI project

Kai Goebel, Yongming Liu, K. Goebel, 2018 .

Adjoint-FORM for efficient reliability analysis of large-scale structural problems

Yi Gao, Yongming Liu, Yongming Liu, 2018 .

Probabilistic Risk-Based Operational Safety Bound for Rotary-Wing Unmanned Aircraft Systems Traffic Management

Heinz Erzberger, Yongming Liu, Kai Goebel, 2020 .

Conflict Probability Estimation Using a Risk-Based Dynamic Anisotropic Operational Safety Bound for UAS Traffic Management

Heinz Erzberger, Yongming Liu, Kai Goebel, 2020 .

Risk-Based Dynamic Anisotropic Operational Safety Bound for Rotary UAV Traffic Control

Heinz Erzberger, Yongming Liu, Kai Goebel, 2019, Annual Conference of the PHM Society.

Structural dynamics simulation using a novel physics-guided machine learning method

Yang Yu, Yongming Liu, Houpu Yao, 2020, Eng. Appl. Artif. Intell..

Multiple Aircraft Collision Avoidance Method Based on ADS-B System

Lei Ying, Peng Zhao, Yongming Liu, 2019, AIAA Aviation 2019 Forum.

Predicting Terminal Mid-Air Collisions Through Simulator Experiments of Air Traffic Control

Nancy J. Cooke, Yongming Liu, P. Tang, 2020, 2020 Winter Simulation Conference (WSC).

Real-time Facial Expression and Head Pose Analysis for Monitoring the Workloads of Air Traffic Controllers

Nancy J. Cooke, Pingbo Tang, Yongming Liu, 2019, AIAA Aviation 2019 Forum.

Bayesian Spatio-Temporal grAph tRansformer network (B-STAR) for multi-aircraft trajectory prediction

Yongming Liu, Xinyu Zhao, Yutian Pang, 2022, Knowl. Based Syst..

Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach

Yutian Pang, Hao Yan, Yongming Liu, 2021 .

Aircraft Trajectory Prediction using LSTM Neural Network with Embedded Convolutional Layer

Nan Xu, Yongming Liu, Yutian Pang, 2019, Annual Conference of the PHM Society.

A Voice Communication-Augmented Simulation Framework for Aircraft Trajectory Simulation

Yongming Liu, Yuhao Wang, P. K. Menon, 2020, IEEE Transactions on Intelligent Transportation Systems.

Conditional Generative Adversarial Networks (CGAN) for Aircraft Trajectory Prediction considering weather effects

Yongming Liu, Yutian Pang, Yongming Liu, 2020 .

Physics Informed Deep Reinforcement Learning for Aircraft Conflict Resolution

Yongming Liu, Peng Zhao, 2022, IEEE Transactions on Intelligent Transportation Systems.

A Recurrent Neural Network Approach for Aircraft Trajectory Prediction with Weather Features From Sherlock

Yongming Liu, Jueming Hu, Yutian Pang, 2019, AIAA Aviation 2019 Forum.

Probabilistic vehicle weight estimation using physics‐constrained generative adversarial network

Yang Yu, Yongming Liu, C. S. Cai, 2021, Comput. Aided Civ. Infrastructure Eng..

Optimal maintenance scheduling under uncertainties using Linear Programming-enhanced Reinforcement Learning

Yongming Liu, Yuhao Wang, Yutian Pang, 2022, Eng. Appl. Artif. Intell..

FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction pdf

Yi Gao, Yongming Liu, Houpu Yao, 2020, Computer Methods in Applied Mechanics and Engineering.

Physics-based Deep Learning for Probabilistic Fracture Analysis of Composite Materials

Yongming Liu, Houpu Yao, Yi Gao, 2020 .

Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning pdf

Lei Ying, Peng Wei, Weichang Wang, 2021, IEEE Access.

Multiple-Aircraft-Conflict Resolution Under Uncertainties

Heinz Erzberger, Peng Zhao, Yongming Liu, 2021, Journal of Guidance, Control, and Dynamics.

Uncertainty quantification and reduction in aircraft trajectory prediction using Bayesian-Entropy information fusion

Parikshit Dutta, Yutian Pang, Oliver Chen, 2021, Reliab. Eng. Syst. Saf..

Air traffic density prediction using Bayesian ensemble graph attention network (BEGAN)

Yongming Liu, Qihang Xu, Yutian Pang, 2023, Transportation Research Part C: Emerging Technologies.

Robust Satellite Image Classification with Bayesian Deep Learning

Yongming Liu, Yutian Pang, Jueming Hu, 2022, 2022 Integrated Communication, Navigation and Surveillance Conference (ICNS).

Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks pdf

Jueming Hu, Yutian Pang, Yongming Liu, 2021, ArXiv.

UAS Conflict Resolution in Continuous Action Space Using Deep Reinforcement Learning

Lei Ying, Yongming Liu, Peng Wei, 2020, AIAA AVIATION 2020 FORUM.

Probabilistic Aircraft Trajectory Prediction Considering Weather Uncertainties Using Dropout As Bayesian Approximate Variational Inference

Yongming Liu, Yutian Pang, Yongming Liu, 2020, AIAA Scitech 2020 Forum.

Probabilistic Aircraft Trajectory Prediction with Weather Uncertainties using Approximate Bayesian Variational Inference to Neural Networks

Yongming Liu, Yuhao Wang, Yutian Pang, 2020, AIAA AVIATION 2020 FORUM.

Separation Risk Evaluation Considering Positioning Uncertainties from the Automatic Dependent Surveillance-Broadcast (ADS-B) System

Peng Zhao, Yongming Liu, Yongming Liu, 2019, Journal of Navigation.

3M-RL: Multi-Resolution, Multi-Agent, Mean-Field Reinforcement Learning for Autonomous UAV Routing

Lei Ying, Rayadurgam Srikant, Weichang Wang, 2021, IEEE Transactions on Intelligent Transportation Systems.

Fractal-based Manifold Learning for Structure Health Monitoring

Nan Xu, Yongming Liu, Yongming Liu, 2020, AIAA Scitech 2021 Forum.

A Multigrid Finite Element Neural Network for Efficient Material Response Prediction

Yongming Liu, Changyu Meng, 2023, AIAA SCITECH 2023 Forum.

Efficient Multiple Aircraft Conflict Resolution Using A* Algorithm and Indexing Method

Yongming Liu, Peng Zhao, Yongming Liu, 2020, AIAA AVIATION 2020 FORUM.

Multi-Fidelity Data Aggregation for Information Fusion in Simulation and Experiment

Yongming Liu, Jie Chen, Changyu Meng, 2023, AIAA SCITECH 2023 Forum.

Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph Learning

Christopher S. Lieber, Yongming Liu, N. Cooke, 2023, Adv. Eng. Informatics.