Multiaxial fatigue reliability analysis of railroad wheels. - Yongming Liu; Liming Liu; Brant Stratman; Sankaran Mahadevan (Reliab. Eng. Syst. Saf., 2008)

Probabilistic fatigue damage prognosis using maximum entropy approach. - Xuefei Guan; Ratneshwar Jha; Yongming Liu (J. Intell. Manuf., 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)

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)

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)

Wireless Sensor Routing Protocol Research Based on Forest Fire Protection. - Yuanyuan Zhang; Ning Cao 002; Guofu Chang; Li Zhou 011; Xiande Yu; Yongming Liu (CSE/EUC (2), 2017)

Reliability allocation for polymer processing rheometer based on modified grading method. - Weiguo Hou; Gang Jin; Yongming Liu (ICSRS, 2017)

Vibrational simulation analysis for an audio system of automobiles. - Qin Li; Weiguo Hou; Yongming Liu (ICSRS, 2017)

Thermal simulation analysis for an audio system of automobiles. - Xiaodong Sun; Weiguo Hou; Yongming Liu (ICSRS, 2017)

Thermochemical Humidity Detection in Harsh or Non-Steady Environments. - Devon Bridgeman; Francis Tsow; Xiaojun Xian; Qinan Chang; Yongming Liu; Erica Forzani (Sensors, 2017)

ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation. - Jun Wu 019; Jingrui He; Yongming Liu (IEEE BigData, 2018)

ImVerde: Vertex-Diminished Random Walk for Learning Network Representation from Imbalanced Data. - Jun Wu 019; Jingrui He; Yongming Liu (CoRR, 2018)

Multispectral Bathymetry via Linear Unmixing of the Benthic Reflectance. - Yongming Liu; Ruru Deng; Jun Li 009; Yan Qin; Longhai Xiong; Qidong Chen; Xulong Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Inversion of Chromophoric Dissolved Organic Matter Using Sparse Regression. - Ruihao Zhang; Ruru Deng; Yan Qin; Yeheng Liang; Yingfei Liu; Yongming Liu (IGARSS, 2019)

Data-driven Spatiotemporal Simulation of Ground Movements of Aircraft for Preventive Airport Safety. - Pingbo Tang; Yanyu Wang; Zhe Sun; Yongming Liu (WSC, 2019)

Predicting Terminal Mid-Air Collisions Through Simulator Experiments of Air Traffic Control. - Yanyu Wang; Pingbo Tang; Ying Shi; Yongming Liu; Nancy J. Cooke (WSC, 2020)

FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction. - Houpu Yao; Yi Gao; Yongming Liu (CoRR, 2020)

Structural dynamics simulation using a novel physics-guided machine learning method. - Yang Yu; Houpu Yao; Yongming Liu (Eng. Appl. Artif. Intell., 2020)

Bayesian entropy network for fusion of different types of information. - Yuhao Wang; Yongming Liu (Reliab. Eng. Syst. Saf., 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., 2020)

Hierarchical Tree-based Sequential Event Prediction with Application in the Aviation Accident Report. - Xinyu Zhao; Hao Yan; Yongming Liu (ICDE, 2021)

Probabilistic vehicle weight estimation using physics-constrained generative adversarial network. - Yang Yu; C. S. Cai; Yongming Liu (Comput. Aided Civ. Infrastructure Eng., 2021)

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

Parsimony-Enhanced Sparse Bayesian Learning for Robust Discovery of Partial Differential Equations. - Zhiming Zhang; Yongming Liu (CoRR, 2021)

Robust physics discovery via supervised and unsupervised pattern recognition using the Euler characteristic. - Zhiming Zhang; Yongming Liu (CoRR, 2021)

Probabilistic physics-guided machine learning for fatigue data analysis. - Jie Chen; Yongming Liu (Expert Syst. Appl., 2021)

A robust framework for identification of PDEs from noisy data. - Zhiming Zhang; Yongming Liu (J. Comput. Phys., 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 009; Yeheng Liang; Longhai Xiong; Yongming Liu; Ruihao Zhang; Zhenqun Hua (Remote. Sens., 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)

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)

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)

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)

A New Method to Bound the Integrity Risk for Residual-Based ARAIM. - Peng Zhao 005; Mathieu Joerger; Xiao Liang 009; Boris Pervan; Yongming Liu (IEEE Trans. Aerosp. Electron. Syst., 2021)

Detection and Defense Against DDoS Attack on SDN Controller Based on Feature Selection. - Yan Xu; Yongming Liu; Jinxing Ma (SocialSec, 2022)

Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning. - Jueming Hu; Xuxi Yang; Weichang Wang; Peng Wei; Lei Ying 001; Yongming Liu (IEEE Access, 2022)

Neural Optimization Machine: A Neural Network Approach for Optimization. - Jie Chen; Yongming Liu (CoRR, 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)

Optimal maintenance scheduling under uncertainties using Linear Programming-enhanced Reinforcement Learning. - Jueming Hu; Yuhao Wang; Yutian Pang; Yongming Liu (Eng. Appl. Artif. Intell., 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)

Practical Differences Between Photogrammetric Bathymetry and Physics-Based Bathymetry. - Bin Cao; Ruru Deng; Yan Xu 006; Bincai Cao; Yongming Liu; Shulong Zhu (IEEE Geosci. Remote. Sens. Lett., 2022)

Physics-guided mixture density networks for uncertainty quantification. - Jie Chen; Yang Yu 063; Yongming Liu (Reliab. Eng. Syst. Saf., 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 Informed Deep Reinforcement Learning for Aircraft Conflict Resolution. - Peng Zhao 005; 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 001 (IEEE Trans. Intell. Transp. Syst., 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)

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, 2022)

Reinforcement Learning with Reward Machines in Stochastic Games. - Jueming Hu; Jean-Raphaël Gaglione; Yanze Wang; Zhe Xu 005; Ufuk Topcu; Yongming Liu (ECAI, 2023)

Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems. - Zhengqing Yuan; Huiwen Xue; Chao Zhang; Yongming Liu (IntelliSys (1), 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 (RO-MAN, 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 (SMC, 2023)

B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization. - Rahul Rathnakumar; Yutian Pang; 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)

Machine Learning-Enhanced Aircraft Landing Scheduling under Uncertainties. - Yutian Pang; Peng Zhao 005; Jueming Hu; Yongming Liu (CoRR, 2023)

Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints. - Jiayu Huang; Yutian Pang; Yongming Liu; Hao Yan (Knowl. Based Syst., 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)

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)

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)

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, 2023)

Fast and Reliable Map Matching from Large-Scale Noisy Positioning Records. - Yanyu Wang; Ruoxin Xiong; Pingbo Tang; Yongming Liu (J. Comput. Civ. Eng., 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, 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., 2023)

Curvature Augmented Manifold Embedding and Learning. - Yongming Liu (CoRR, 2024)

Hierarchical Multi-label Classification for Fine-level Event Extraction from Aviation Accident Reports. - Xinyu Zhao; Hao Yan; Yongming Liu (CoRR, 2024)

Bayesian Entropy Neural Networks for Physics-Aware Prediction. - Rahul Rathnakumar; Jiayu Huang; Hao Yan; Yongming Liu (CoRR, 2024)

Physics-guided generative adversarial network for probabilistic structural system identification. - Yang Yu 063; Yongming Liu (Expert Syst. Appl., 2024)

The Evaluation of MII/SDGSAT-1 in Red Tide Detection Along the Guangdong Middle Coast. - Jie Wu 041; Haibin Ye; Yongming Liu; Jian Shi; Futao Wang; Chuqun Chen; Shilin Tang (IEEE Geosci. Remote. Sens. Lett., 2024)

A General Multilayer Analytical Radiative Transfer-Based Model for Reflectance Over Shallow Water. - Jilong Zhang; Zhantang Xu; Yongming Liu; Yuezhong Yang; Wen Zhou; Zeming Yang; Cai Li (IEEE Trans. Geosci. Remote. Sens., 2024)

Decentralized graph-based multi-agent reinforcement learning using reward machines. - Jueming Hu; Zhe Xu 005; Weichang Wang; Guannan Qu; Yutian Pang; Yongming Liu (Neurocomputing, 2024)

PIGAT: Physics-Informed Graph Attention Transformer for Air Traffic State Prediction. - Qihang Xu; Yutian Pang; Xuesong Zhou; Yongming Liu (IEEE Trans. Intell. Transp. Syst., 2024)

Mapping the bathymetry of coral islands with the Landsat series: Quantitative evaluation of the consistency and temporal change detection. - Yongming Liu; Shilin Tang; Yuye Huang; Qidong Chen; Longhai Xiong; Sufen Wang (Int. J. Appl. Earth Obs. Geoinformation, 2025)

MFEA-Net: A pixel-adaptive multigrid finite element analysis neural network for efficient material response prediction. - Changyu Meng; Houpu Yao; Yongming Liu (Neurocomputing, 2025)