Yongming Liu

According to our database, Yongming Liu authored at least 66 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Decentralized graph-based multi-agent reinforcement learning using reward machines.

Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu

Neurocomputing, January, 2024

The Evaluation of MII/SDGSAT-1 in Red Tide Detection Along the Guangdong Middle Coast.

Jie Wu, Haibin Ye, Yongming Liu, Jian Shi, Futao Wang, Chuqun Chen, Shilin Tang

IEEE Geosci. Remote. Sens. Lett., 2024

Hierarchical Multi-label Classification for Fine-level Event Extraction from Aviation Accident Reports.

Xinyu Zhao, Hao Yan, Yongming Liu

CoRR, 2024

Curvature Augmented Manifold Embedding and Learning.

Yongming Liu

CoRR, 2024

2023

Epistemic and aleatoric uncertainty quantification for crack detection using a Bayesian Boundary Aware Convolutional Network.

Rahul Rathnakumar, Yutian Pang, Yongming Liu

Reliab. Eng. Syst. Saf., December, 2023

Air traffic controller workload level prediction using conformalized dynamical graph learning.

Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, Yongming Liu

Adv. Eng. Informatics, August, 2023

Fast and Reliable Map Matching from Large-Scale Noisy Positioning Records.

Yanyu Wang, Ruoxin Xiong, Pingbo Tang, Yongming Liu

J. Comput. Civ. Eng., January, 2023

Predicting separation errors of air traffic controllers through integrated sequence analysis of multimodal behaviour indicators.

Ruoxin Xiong, Yanyu Wang, Pingbo Tang, Nancy J. Cooke, Sarah V. Ligda, Christopher S. Lieber, Yongming Liu

Adv. Eng. Informatics, January, 2023

Mapping Ultrahigh-Spatial-Resolution Bathymetry for a Wide Range of Coastal Optically Shallow Waters Without In Situ Bathymetric Data.

Yongming Liu, Shilin Tang, Ruru Deng, Yuye Huang, Haibin Ye, Zhantang Xu, Kai Zeng

IEEE Trans. Geosci. Remote. Sens., 2023

An Appraisal of Atmospheric Correction and Inversion Algorithms for Mapping High-Resolution Bathymetry Over Coral Reef Waters.

Yuye Huang, Hongqiang Yang, Shilin Tang, Yongming Liu, Yupeng Liu

IEEE Trans. Geosci. Remote. Sens., 2023

Topology Optimization of Continuum Structures Based on Binary Hunter-Prey Optimization Algorithm.

Zhuanzhe Zhao, Yujian Rui, Yongming Liu, Zhibo Liu, Zhijian Tu

Symmetry, 2023

Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints.

Jiayu Huang, Yutian Pang, Yongming Liu, Hao Yan

Knowl. Based Syst., 2023

Machine Learning-Enhanced Aircraft Landing Scheduling under Uncertainties.

Yutian Pang, Peng Zhao, Jueming Hu, Yongming Liu

CoRR, 2023

ArtGPT-4: Artistic Vision-Language Understanding with Adapter-enhanced MiniGPT-4.

Zhengqing Yuan, Huiwen Xue, Xinyi Wang, Yongming Liu, Zhuanzhe Zhao, Kun Wang

CoRR, 2023

Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems.

Zhengqing Yuan, Huiwen Xue, Chao Zhang, Yongming Liu

CoRR, 2023

B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization.

Rahul Rathnakumar, Yutian Pang, Yongming Liu

CoRR, 2023

RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding.

Zhengqing Yuan, Xiaolong Zhang, Yue Wang, Xuecong Hou, Huiwen Xue, Zhuanzhe Zhao, Yongming Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Situating Robots in the Organizational Dynamics of the Gas Energy Industry: A Collaborative Design Study.

Hee Rin Lee, Xiaobo Tan, Wenlong Zhang, Yiming Deng, Yongming Liu

Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Reinforcement Learning with Reward Machines in Stochastic Games.

Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Topology Optimization Design of an Active Deformable Mirror Based on Discrete Orthogonal Zernike Polynomials.

Yongming Liu, Yujian Rui, Zhuanzhe Zhao, Manman Xu, Yang Zhou

Symmetry, November, 2022

A Voice Communication-Augmented Simulation Framework for Aircraft Trajectory Simulation.

Yuhao Wang, Yutian Pang, Stojanche Gorceski, Peter Kostiuk, Michael Thomas Mohen, Padmanabhan K. Menon, Yongming Liu

IEEE Trans. Intell. Transp. Syst., 2022

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

Weichang Wang, Yongming Liu, Rayadurgam Srikant, Lei Ying

IEEE Trans. Intell. Transp. Syst., 2022

Physics Informed Deep Reinforcement Learning for Aircraft Conflict Resolution.

Peng Zhao, Yongming Liu

IEEE Trans. Intell. Transp. Syst., 2022

Manifold-based Conditional Bayesian network for aging pipe yield strength estimation with non-destructive measurements.

Qiongfang Zhang, Nan Xu, Daniel Ersoy, Yongming Liu

Reliab. Eng. Syst. Saf., 2022

Physics-guided mixture density networks for uncertainty quantification.

Jie Chen, Yang Yu, Yongming Liu

Reliab. Eng. Syst. Saf., 2022

Practical Differences Between Photogrammetric Bathymetry and Physics-Based Bathymetry.

Bin Cao, Ruru Deng, Yan Xu, Bincai Cao, Yongming Liu, Shulong Zhu

IEEE Geosci. Remote. Sens. Lett., 2022

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

Yutian Pang, Xinyu Zhao, Jueming Hu, Hao Yan, Yongming Liu

Knowl. Based Syst., 2022

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

Jueming Hu, Yuhao Wang, Yutian Pang, Yongming Liu

Eng. Appl. Artif. Intell., 2022

RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding.

Zhengqing Yuan, Zhuanzhe Zhao, Yongming Liu, Xiaolong Zhang, Xuecong Hou, Yue Wang

CoRR, 2022

Neural Optimization Machine: A Neural Network Approach for Optimization.

Jie Chen, Yongming Liu

CoRR, 2022

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

Jueming Hu, Xuxi Yang, Weichang Wang, Peng Wei, Lei Ying, Yongming Liu

IEEE Access, 2022

Detection and Defense Against DDoS Attack on SDN Controller Based on Feature Selection.

Yan Xu, Yongming Liu, Jinxing Ma

Proceedings of the Security and Privacy in Social Networks and Big Data, 2022

2021

A New Method to Bound the Integrity Risk for Residual-Based ARAIM.

Peng Zhao, Mathieu Joerger, Xiao Liang, Boris Pervan, Yongming Liu

IEEE Trans. Aerosp. Electron. Syst., 2021

An Adaptive Blended Algorithm Approach for Deriving Bathymetry from Multispectral Imagery.

Yongming Liu, Danling Tang, Ruru Deng, Bin Cao, Qidong Chen, Ruihao Zhang, Yan Qin, Shao-quan Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Bathymetric Retrieval Selectively Using Multiangular High-Spatial-Resolution Satellite Imagery.

Bin Cao, Ruru Deng, Shulong Zhu, Yongming Liu, Yeheng Liang, Longhai Xiong

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

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

Yuhao Wang, Yutian Pang, Oliver Chen, Hari N. Iyer, Parikshit Dutta, Padmanabhan K. Menon, Yongming Liu

Reliab. Eng. Syst. Saf., 2021

Bayesian-entropy gaussian process for constrained metamodeling.

Yuhao Wang, Yi Gao, Yongming Liu, Sayan Ghosh, Waad Subber, Piyush Pandita, Liping Wang

Reliab. Eng. Syst. Saf., 2021

Estimation of Ultrahigh Resolution PM2.5 Mass Concentrations Based on Mie Scattering Theory by Using Landsat8 OLI Images over Pearl River Delta.

Yuming Tang, Ruru Deng, Jun Li, Yeheng Liang, Longhai Xiong, Yongming Liu, Ruihao Zhang, Zhenqun Hua

Remote. Sens., 2021

A robust framework for identification of PDEs from noisy data.

Zhiming Zhang, Yongming Liu

J. Comput. Phys., 2021

Probabilistic physics-guided machine learning for fatigue data analysis.

Jie Chen, Yongming Liu

Expert Syst. Appl., 2021

Robust physics discovery via supervised and unsupervised pattern recognition using the Euler characteristic.

Zhiming Zhang, Yongming Liu

CoRR, 2021

Parsimony-Enhanced Sparse Bayesian Learning for Robust Discovery of Partial Differential Equations.

Zhiming Zhang, Yongming Liu

CoRR, 2021

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

Yutian Pang, Sheng Cheng, Jueming Hu, Yongming Liu

CoRR, 2021

Robust Data-Driven Discovery of Partial Differential Equations under Uncertainties.

Zhiming Zhang, Yongming Liu

CoRR, 2021

Probabilistic vehicle weight estimation using physics-constrained generative adversarial network.

Yang Yu, C. S. Cai, Yongming Liu

Comput. Aided Civ. Infrastructure Eng., 2021

Hierarchical Tree-based Sequential Event Prediction with Application in the Aviation Accident Report.

Xinyu Zhao, Hao Yan, Yongming Liu

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

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

Jueming Hu, Heinz Erzberger, Kai Goebel, Yongming Liu

J. Aerosp. Inf. Syst., March, 2020

Bayesian entropy network for fusion of different types of information.

Yuhao Wang, Yongming Liu

Reliab. Eng. Syst. Saf., 2020

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

Yang Yu, Houpu Yao, Yongming Liu

Eng. Appl. Artif. Intell., 2020

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

Houpu Yao, Yi Gao, Yongming Liu

CoRR, 2020

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

Yanyu Wang, Pingbo Tang, Ying Shi, Yongming Liu, Nancy J. Cooke

Proceedings of the Winter Simulation Conference, 2020

2019

Data-driven Spatiotemporal Simulation of Ground Movements of Aircraft for Preventive Airport Safety.

Pingbo Tang, Yanyu Wang, Zhe Sun, Yongming Liu

Proceedings of the 2019 Winter Simulation Conference, 2019

Inversion of Chromophoric Dissolved Organic Matter Using Sparse Regression.

Ruihao Zhang, Ruru Deng, Yan Qin, Yeheng Liang, Yingfei Liu, Yongming Liu

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Multispectral Bathymetry via Linear Unmixing of the Benthic Reflectance.

Yongming Liu, Ruru Deng, Jun Li, Yan Qin, Longhai Xiong, Qidong Chen, Xulong Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

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

Jun Wu, Jingrui He, Yongming Liu

CoRR, 2018

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

Jun Wu, Jingrui He, Yongming Liu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Thermochemical Humidity Detection in Harsh or Non-Steady Environments.

Devon Bridgeman, Francis Tsow, Xiaojun Xian, Qinan Chang, Yongming Liu, Erica Forzani

Sensors, 2017

Thermal simulation analysis for an audio system of automobiles.

Xiaodong Sun, Weiguo Hou, Yongming Liu

Proceedings of the 2nd International Conference on System Reliability and Safety, 2017

Vibrational simulation analysis for an audio system of automobiles.

Qin Li, Weiguo Hou, Yongming Liu

Proceedings of the 2nd International Conference on System Reliability and Safety, 2017

Reliability allocation for polymer processing rheometer based on modified grading method.

Weiguo Hou, Gang Jin, Yongming Liu

Proceedings of the 2nd International Conference on System Reliability and Safety, 2017

Wireless Sensor Routing Protocol Research Based on Forest Fire Protection.

Yuanyuan Zhang, Ning Cao, Guofu Chang, Li Zhou, Xiande Yu, Yongming Liu

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016

Time Domain Strain/Stress Reconstruction Based on Empirical Mode Decomposition: Numerical Study and Experimental Validation.

Jingjing He, Yibin Zhou, Xuefei Guan, Wei Zhang, Weifang Zhang, Yongming Liu

Sensors, 2016

Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design.

Ruijin Cang, Yaopengxiao Xu, Shaohua Chen, Yongming Liu, Yang Jiao, Max Yi Ren

CoRR, 2016

2012

An efficient analytical Bayesian method for reliability and system response updating based on Laplace and inverse first-order reliability computations.

Xuefei Guan, Jingjing He, Ratneshwar Jha, Yongming Liu

Reliab. Eng. Syst. Saf., 2012

Probabilistic fatigue damage prognosis using maximum entropy approach.

Xuefei Guan, Ratneshwar Jha, Yongming Liu

J. Intell. Manuf., 2012

2008

Multiaxial fatigue reliability analysis of railroad wheels.

Yongming Liu, Liming Liu, Brant Stratman, Sankaran Mahadevan

Reliab. Eng. Syst. Saf., 2008