Yongming Liu - RankMe

80 papers A* 1A 1B 2C 1Misc 2Journal 65Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bayesian Entropy Neural Networks for physics-aware prediction. Reliab. Eng. Syst. Saf. Rahul Rathnakumar, Xuandong Lu, Jiayu Huang, Hao Yan, Yongming Liu
2025	J	`jnl`	MFEA-Net: A pixel-adaptive multigrid finite element analysis neural network for efficient material response prediction. Neurocomputing Changyu Meng, Houpu Yao, Yongming Liu
2025	J	`jnl`	Mapping the bathymetry of coral islands with the Landsat series: Quantitative evaluation of the consistency and temporal change detection. Int. J. Appl. Earth Obs. Geoinformation Yongming Liu, Shilin Tang, Yuye Huang, Qidong Chen, Longhai Xiong, Sufen Wang
2025	—	`conf`	Multi-modal Generative Modeling of Event Sequences and Time Series for Solar PV Systems. CASE Jiayu Huang, Boyang Xu, Yongming Liu, Hao Yan
2024	J	`jnl`	A General Multilayer Analytical Radiative Transfer-Based Model for Reflectance Over Shallow Water. IEEE Trans. Geosci. Remote. Sens. Jilong Zhang, Zhantang Xu, Yongming Liu, Yuezhong Yang, Wen Zhou, Zeming Yang, Cai Li
2024	J	`jnl`	Bayesian Entropy Neural Networks for Physics-Aware Prediction. CoRR Rahul Rathnakumar, Jiayu Huang, Hao Yan, Yongming Liu
2024	J	`jnl`	Curvature Augmented Manifold Embedding and Learning. CoRR Yongming Liu
2024	J	`jnl`	Decentralized graph-based multi-agent reinforcement learning using reward machines. Neurocomputing Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu
2024	J	`jnl`	Hierarchical Multi-label Classification for Fine-level Event Extraction from Aviation Accident Reports. CoRR Xinyu Zhao, Hao Yan, Yongming Liu
2024	J	`jnl`	PIGAT: Physics-Informed Graph Attention Transformer for Air Traffic State Prediction. IEEE Trans. Intell. Transp. Syst. Qihang Xu, Yutian Pang, Xuesong Zhou, Yongming Liu
2024	J	`jnl`	Physics-guided generative adversarial network for probabilistic structural system identification. Expert Syst. Appl. Yang Yu, Yongming Liu
2024	J	`jnl`	The Evaluation of MII/SDGSAT-1 in Red Tide Detection Along the Guangdong Middle Coast. IEEE Geosci. Remote. Sens. Lett. Jie Wu, Haibin Ye, Yongming Liu, Jian Shi, Futao Wang, Chuqun Chen, Shilin Tang
2023	J	`jnl`	Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph Learning. CoRR Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, Yongming Liu
2023	J	`jnl`	Air traffic controller workload level prediction using conformalized dynamical graph learning. Adv. Eng. Informatics Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, Yongming Liu
2023	J	`jnl`	An Appraisal of Atmospheric Correction and Inversion Algorithms for Mapping High-Resolution Bathymetry Over Coral Reef Waters. IEEE Trans. Geosci. Remote. Sens. Yuye Huang, Hongqiang Yang, Shilin Tang, Yongming Liu, Yupeng Liu
2023	J	`jnl`	ArtGPT-4: Artistic Vision-Language Understanding with Adapter-enhanced MiniGPT-4. CoRR Zhengqing Yuan, Huiwen Xue, Xinyi Wang, Yongming Liu, Zhuanzhe Zhao, Kun Wang
2023	J	`jnl`	B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization. CoRR Rahul Rathnakumar, Yutian Pang, Yongming Liu
2023	J	`jnl`	Epistemic and aleatoric uncertainty quantification for crack detection using a Bayesian Boundary Aware Convolutional Network. Reliab. Eng. Syst. Saf. Rahul Rathnakumar, Yutian Pang, Yongming Liu
2023	J	`jnl`	Fast and Reliable Map Matching from Large-Scale Noisy Positioning Records. J. Comput. Civ. Eng. Yanyu Wang, Ruoxin Xiong, Pingbo Tang, Yongming Liu
2023	—	`conf`	Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems. IntelliSys (1) Zhengqing Yuan, Huiwen Xue, Chao Zhang, Yongming Liu
2023	J	`jnl`	Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems. CoRR Zhengqing Yuan, Huiwen Xue, Chao Zhang, Yongming Liu
2023	J	`jnl`	Machine Learning-Enhanced Aircraft Landing Scheduling under Uncertainties. CoRR Yutian Pang, Peng Zhao, Jueming Hu, Yongming Liu
2023	J	`jnl`	Mapping Ultrahigh-Spatial-Resolution Bathymetry for a Wide Range of Coastal Optically Shallow Waters Without In Situ Bathymetric Data. IEEE Trans. Geosci. Remote. Sens. Yongming Liu, Shilin Tang, Ruru Deng, Yuye Huang, Haibin Ye, Zhantang Xu, Kai Zeng
2023	J	`jnl`	Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints. Knowl. Based Syst. Jiayu Huang, Yutian Pang, Yongming Liu, Hao Yan
2023	J	`jnl`	Predicting separation errors of air traffic controllers through integrated sequence analysis of multimodal behaviour indicators. Adv. Eng. Informatics Ruoxin Xiong, Yanyu Wang, Pingbo Tang, Nancy J. Cooke, Sarah V. Ligda, Christopher S. Lieber, Yongming Liu
2023	B	`conf`	RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding. SMC Zhengqing Yuan, Xiaolong Zhang, Yue Wang, Xuecong Hou, Huiwen Xue, Zhuanzhe Zhao, Yongming Liu
2023	J	`jnl`	Reinforcement Learning With Reward Machines in Stochastic Games. CoRR Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu
2023	A	`conf`	Reinforcement Learning with Reward Machines in Stochastic Games. ECAI Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu
2023	B	`conf`	Situating Robots in the Organizational Dynamics of the Gas Energy Industry: A Collaborative Design Study. RO-MAN Hee Rin Lee, Xiaobo Tan, Wenlong Zhang, Yiming Deng, Yongming Liu
2023	J	`jnl`	Topology Optimization of Continuum Structures Based on Binary Hunter-Prey Optimization Algorithm. Symmetry Zhuanzhe Zhao, Yujian Rui, Yongming Liu, Zhibo Liu, Zhijian Tu
2022	J	`jnl`	3M-RL: Multi-Resolution, Multi-Agent, Mean-Field Reinforcement Learning for Autonomous UAV Routing. IEEE Trans. Intell. Transp. Syst. Weichang Wang, Yongming Liu, Rayadurgam Srikant, Lei Ying
2022	J	`jnl`	A Voice Communication-Augmented Simulation Framework for Aircraft Trajectory Simulation. IEEE Trans. Intell. Transp. Syst. Yuhao Wang, Yutian Pang, Stojanche Gorceski, Peter Kostiuk, Michael Thomas Mohen, Padmanabhan K. Menon, Yongming Liu
2022	J	`jnl`	Bayesian Spatio-Temporal grAph tRansformer network (B-STAR) for multi-aircraft trajectory prediction. Knowl. Based Syst. Yutian Pang, Xinyu Zhao, Jueming Hu, Hao Yan, Yongming Liu
2022	—	`conf`	Detection and Defense Against DDoS Attack on SDN Controller Based on Feature Selection. SocialSec Yan Xu, Yongming Liu, Jinxing Ma
2022	J	`jnl`	Manifold-based Conditional Bayesian network for aging pipe yield strength estimation with non-destructive measurements. Reliab. Eng. Syst. Saf. Qiongfang Zhang, Nan Xu, Daniel Ersoy, Yongming Liu
2022	J	`jnl`	Neural Optimization Machine: A Neural Network Approach for Optimization. CoRR Jie Chen, Yongming Liu
2022	J	`jnl`	Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning. IEEE Access Jueming Hu, Xuxi Yang, Weichang Wang, Peng Wei, Lei Ying, Yongming Liu
2022	J	`jnl`	Optimal maintenance scheduling under uncertainties using Linear Programming-enhanced Reinforcement Learning. Eng. Appl. Artif. Intell. Jueming Hu, Yuhao Wang, Yutian Pang, Yongming Liu
2022	J	`jnl`	Physics Informed Deep Reinforcement Learning for Aircraft Conflict Resolution. IEEE Trans. Intell. Transp. Syst. Peng Zhao, Yongming Liu
2022	J	`jnl`	Physics-guided mixture density networks for uncertainty quantification. Reliab. Eng. Syst. Saf. Jie Chen, Yang Yu, Yongming Liu
2022	J	`jnl`	Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints. CoRR Jiayu Huang, Yutian Pang, Yongming Liu, Hao Yan
2022	J	`jnl`	Practical Differences Between Photogrammetric Bathymetry and Physics-Based Bathymetry. IEEE Geosci. Remote. Sens. Lett. Bin Cao, Ruru Deng, Yan Xu, Bincai Cao, Yongming Liu, Shulong Zhu
2022	J	`jnl`	RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding. CoRR Zhengqing Yuan, Zhuanzhe Zhao, Yongming Liu, Xiaolong Zhang, Xuecong Hou, Yue Wang
2022	J	`jnl`	Topology Optimization Design of an Active Deformable Mirror Based on Discrete Orthogonal Zernike Polynomials. Symmetry Yongming Liu, Yujian Rui, Zhuanzhe Zhao, Manman Xu, Yang Zhou
2021	J	`jnl`	A New Method to Bound the Integrity Risk for Residual-Based ARAIM. IEEE Trans. Aerosp. Electron. Syst. Peng Zhao, Mathieu Joerger, Xiao Liang, Boris Pervan, Yongming Liu
2021	J	`jnl`	A robust framework for identification of PDEs from noisy data. J. Comput. Phys. Zhiming Zhang, Yongming Liu
2021	J	`jnl`	An Adaptive Blended Algorithm Approach for Deriving Bathymetry from Multispectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yongming Liu, Danling Tang, Ruru Deng, Bin Cao, Qidong Chen, Ruihao Zhang, Yan Qin, Shao-quan Zhang
2021	J	`jnl`	Bathymetric Retrieval Selectively Using Multiangular High-Spatial-Resolution Satellite Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Bin Cao, Ruru Deng, Shulong Zhu, Yongming Liu, Yeheng Liang, Longhai Xiong
2021	J	`jnl`	Bayesian-entropy gaussian process for constrained metamodeling. Reliab. Eng. Syst. Saf. Yuhao Wang, Yi Gao, Yongming Liu, Sayan Ghosh, Waad Subber, Piyush Pandita, Liping Wang
2021	J	`jnl`	Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines. CoRR Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu
2021	J	`jnl`	Estimation of Ultrahigh Resolution PM2.5 Mass Concentrations Based on Mie Scattering Theory by Using Landsat8 OLI Images over Pearl River Delta. Remote. Sens. Yuming Tang, Ruru Deng, Jun Li, Yeheng Liang, Longhai Xiong, Yongming Liu, Ruihao Zhang, Zhenqun Hua
2021	J	`jnl`	Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks. CoRR Yutian Pang, Sheng Cheng, Jueming Hu, Yongming Liu
2021	A*	`conf`	Hierarchical Tree-based Sequential Event Prediction with Application in the Aviation Accident Report. ICDE Xinyu Zhao, Hao Yan, Yongming Liu
2021	J	`jnl`	Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning. CoRR Jueming Hu, Xuxi Yang, Weichang Wang, Peng Wei, Lei Ying, Yongming Liu
2021	J	`jnl`	Parsimony-Enhanced Sparse Bayesian Learning for Robust Discovery of Partial Differential Equations. CoRR Zhiming Zhang, Yongming Liu
2021	J	`jnl`	Probabilistic physics-guided machine learning for fatigue data analysis. Expert Syst. Appl. Jie Chen, Yongming Liu
2021	J	`jnl`	Probabilistic vehicle weight estimation using physics-constrained generative adversarial network. Comput. Aided Civ. Infrastructure Eng. Yang Yu, C. S. Cai, Yongming Liu
2021	J	`jnl`	Robust Data-Driven Discovery of Partial Differential Equations under Uncertainties. CoRR Zhiming Zhang, Yongming Liu
2021	J	`jnl`	Robust physics discovery via supervised and unsupervised pattern recognition using the Euler characteristic. CoRR Zhiming Zhang, Yongming Liu
2021	J	`jnl`	Uncertainty quantification and reduction in aircraft trajectory prediction using Bayesian-Entropy information fusion. Reliab. Eng. Syst. Saf. Yuhao Wang, Yutian Pang, Oliver Chen, Hari N. Iyer, Parikshit Dutta, Padmanabhan K. Menon, Yongming Liu
2020	J	`jnl`	Bayesian entropy network for fusion of different types of information. Reliab. Eng. Syst. Saf. Yuhao Wang, Yongming Liu
2020	J	`jnl`	FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction. CoRR Houpu Yao, Yi Gao, Yongming Liu
2020	Misc	`conf`	Predicting Terminal Mid-Air Collisions Through Simulator Experiments of Air Traffic Control. WSC Yanyu Wang, Pingbo Tang, Ying Shi, Yongming Liu, Nancy J. Cooke
2020	J	`jnl`	Probabilistic Risk-Based Operational Safety Bound for Rotary-Wing Unmanned Aircraft Systems Traffic Management. J. Aerosp. Inf. Syst. Jueming Hu, Heinz Erzberger, Kai Goebel, Yongming Liu
2020	J	`jnl`	Structural dynamics simulation using a novel physics-guided machine learning method. Eng. Appl. Artif. Intell. Yang Yu, Houpu Yao, Yongming Liu
2019	Misc	`conf`	Data-driven Spatiotemporal Simulation of Ground Movements of Aircraft for Preventive Airport Safety. WSC Pingbo Tang, Yanyu Wang, Zhe Sun, Yongming Liu
2019	C	`conf`	Inversion of Chromophoric Dissolved Organic Matter Using Sparse Regression. IGARSS Ruihao Zhang, Ruru Deng, Yan Qin, Yeheng Liang, Yingfei Liu, Yongming Liu
2018	—	`conf`	ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation. IEEE BigData Jun Wu, Jingrui He, Yongming Liu
2018	J	`jnl`	ImVerde: Vertex-Diminished Random Walk for Learning Network Representation from Imbalanced Data. CoRR Jun Wu, Jingrui He, Yongming Liu
2018	J	`jnl`	Multispectral Bathymetry via Linear Unmixing of the Benthic Reflectance. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yongming Liu, Ruru Deng, Jun Li, Yan Qin, Longhai Xiong, Qidong Chen, Xulong Liu
2017	—	`conf`	Reliability allocation for polymer processing rheometer based on modified grading method. ICSRS Weiguo Hou, Gang Jin, Yongming Liu
2017	—	`conf`	Thermal simulation analysis for an audio system of automobiles. ICSRS Xiaodong Sun, Weiguo Hou, Yongming Liu
2017	J	`jnl`	Thermochemical Humidity Detection in Harsh or Non-Steady Environments. Sensors Devon Bridgeman, Francis Tsow, Xiaojun Xian, Qinan Chang, Yongming Liu, Erica Forzani
2017	—	`conf`	Vibrational simulation analysis for an audio system of automobiles. ICSRS Qin Li, Weiguo Hou, Yongming Liu
2017	—	`conf`	Wireless Sensor Routing Protocol Research Based on Forest Fire Protection. CSE/EUC (2) Yuanyuan Zhang, Ning Cao, Guofu Chang, Li Zhou, Xiande Yu, Yongming Liu
2016	J	`jnl`	Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design. CoRR Ruijin Cang, Yaopengxiao Xu, Shaohua Chen, Yongming Liu, Yang Jiao, Max Yi Ren
2016	J	`jnl`	Time Domain Strain/Stress Reconstruction Based on Empirical Mode Decomposition: Numerical Study and Experimental Validation. Sensors Jingjing He, Yibin Zhou, Xuefei Guan, Wei Zhang, Weifang Zhang, Yongming Liu
2012	J	`jnl`	An efficient analytical Bayesian method for reliability and system response updating based on Laplace and inverse first-order reliability computations. Reliab. Eng. Syst. Saf. Xuefei Guan, Jingjing He, Ratneshwar Jha, Yongming Liu
2012	J	`jnl`	Probabilistic fatigue damage prognosis using maximum entropy approach. J. Intell. Manuf. Xuefei Guan, Ratneshwar Jha, Yongming Liu
2008	J	`jnl`	Multiaxial fatigue reliability analysis of railroad wheels. Reliab. Eng. Syst. Saf. Yongming Liu, Liming Liu, Brant Stratman, Sankaran Mahadevan