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ORCIDYongming Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Journal Articles
- 2024
[j41]Yang Yu
, Yongming Liu:
Physics-guided generative adversarial network for probabilistic structural system identification. Expert Syst. Appl. 239: 122339 (2024)- [j40]Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu:
Decentralized graph-based multi-agent reinforcement learning using reward machines. Neurocomputing 564: 126974 (2024) - [j39]Jie Wu, Haibin Ye, Yongming Liu, Jian Shi, Futao Wang, Chuqun Chen, Shilin Tang:
The Evaluation of MII/SDGSAT-1 in Red Tide Detection Along the Guangdong Middle Coast. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j38]Jilong Zhang, Zhantang Xu, Yongming Liu, Yuezhong Yang, Wen Zhou, Zeming Yang, Cai Li:
A General Multilayer Analytical Radiative Transfer-Based Model for Reflectance Over Shallow Water. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024) - [j37]Qihang Xu, Yutian Pang, Xuesong Zhou, Yongming Liu:
PIGAT: Physics-Informed Graph Attention Transformer for Air Traffic State Prediction. IEEE Trans. Intell. Transp. Syst. 25(9): 12561-12577 (2024) - 2023
- [j36]Ruoxin Xiong, Yanyu Wang, Pingbo Tang, Nancy J. Cooke, Sarah V. Ligda, Christopher S. Lieber, Yongming Liu:
Predicting separation errors of air traffic controllers through integrated sequence analysis of multimodal behaviour indicators. Adv. Eng. Informatics 55: 101894 (2023) - [j35]Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, Yongming Liu:
Air traffic controller workload level prediction using conformalized dynamical graph learning. Adv. Eng. Informatics 57: 102113 (2023) - [j34]Yanyu Wang, Ruoxin Xiong, Pingbo Tang, Yongming Liu:
Fast and Reliable Map Matching from Large-Scale Noisy Positioning Records. J. Comput. Civ. Eng. 37(1) (2023) - [j33]Jiayu Huang, Yutian Pang, Yongming Liu, Hao Yan:
Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints. Knowl. Based Syst. 259: 110043 (2023) - [j32]Rahul Rathnakumar, Yutian Pang, Yongming Liu:
Epistemic and aleatoric uncertainty quantification for crack detection using a Bayesian Boundary Aware Convolutional Network. Reliab. Eng. Syst. Saf. 240: 109547 (2023) - [j31]Zhuanzhe Zhao, Yujian Rui, Yongming Liu, Zhibo Liu, Zhijian Tu:
Topology Optimization of Continuum Structures Based on Binary Hunter-Prey Optimization Algorithm. Symmetry 15(5): 1118 (2023) - [j30]Yuye Huang, Hongqiang Yang, Shilin Tang, Yongming Liu, Yupeng Liu:
An Appraisal of Atmospheric Correction and Inversion Algorithms for Mapping High-Resolution Bathymetry Over Coral Reef Waters. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j29]Yongming Liu, Shilin Tang, Ruru Deng, Yuye Huang, Haibin Ye, Zhantang Xu, Kai Zeng:
Mapping Ultrahigh-Spatial-Resolution Bathymetry for a Wide Range of Coastal Optically Shallow Waters Without In Situ Bathymetric Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - 2022
- [j28]Jueming Hu, Xuxi Yang, Weichang Wang, Peng Wei, Lei Ying, Yongming Liu:
Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning. IEEE Access 10: 90623-90634 (2022) - [j27]Jueming Hu, Yuhao Wang, Yutian Pang, Yongming Liu:
Optimal maintenance scheduling under uncertainties using Linear Programming-enhanced Reinforcement Learning. Eng. Appl. Artif. Intell. 109: 104655 (2022) - [j26]Yutian Pang, Xinyu Zhao, Jueming Hu, Hao Yan, Yongming Liu:
Bayesian Spatio-Temporal grAph tRansformer network (B-STAR) for multi-aircraft trajectory prediction. Knowl. Based Syst. 249: 108998 (2022) - [j25]Bin Cao, Ruru Deng, Yan Xu, Bincai Cao, Yongming Liu, Shulong Zhu:
Practical Differences Between Photogrammetric Bathymetry and Physics-Based Bathymetry. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j24]Qiongfang Zhang, Nan Xu, Daniel Ersoy, Yongming Liu:
Manifold-based Conditional Bayesian network for aging pipe yield strength estimation with non-destructive measurements. Reliab. Eng. Syst. Saf. 223: 108447 (2022) - [j23]Jie Chen, Yang Yu, Yongming Liu:
Physics-guided mixture density networks for uncertainty quantification. Reliab. Eng. Syst. Saf. 228: 108823 (2022) - [j22]Yongming Liu, Yujian Rui, Zhuanzhe Zhao, Manman Xu, Yang Zhou:
Topology Optimization Design of an Active Deformable Mirror Based on Discrete Orthogonal Zernike Polynomials. Symmetry 14(11): 2469 (2022) - [j21]Yuhao Wang, Yutian Pang, Stojanche Gorceski, Peter Kostiuk, Michael Thomas Mohen, Padmanabhan K. Menon, Yongming Liu:
A Voice Communication-Augmented Simulation Framework for Aircraft Trajectory Simulation. IEEE Trans. Intell. Transp. Syst. 23(7): 7310-7320 (2022) - [j20]Peng Zhao, Yongming Liu:
Physics Informed Deep Reinforcement Learning for Aircraft Conflict Resolution. IEEE Trans. Intell. Transp. Syst. 23(7): 8288-8301 (2022) - [j19]Weichang Wang, Yongming Liu, Rayadurgam Srikant, Lei Ying:
3M-RL: Multi-Resolution, Multi-Agent, Mean-Field Reinforcement Learning for Autonomous UAV Routing. IEEE Trans. Intell. Transp. Syst. 23(7): 8985-8996 (2022) - 2021
- [j18]Yang Yu, C. S. Cai, Yongming Liu:
Probabilistic vehicle weight estimation using physics-constrained generative adversarial network. Comput. Aided Civ. Infrastructure Eng. 36(6): 781-799 (2021) - [j17]Jie Chen, Yongming Liu:
Probabilistic physics-guided machine learning for fatigue data analysis. Expert Syst. Appl. 168: 114316 (2021) - [j16]Zhiming Zhang, Yongming Liu:
A robust framework for identification of PDEs from noisy data. J. Comput. Phys. 446: 110657 (2021) - [j15]Yuming Tang, Ruru Deng, Jun Li, Yeheng Liang, Longhai Xiong, Yongming Liu, Ruihao Zhang, Zhenqun Hua:
Estimation of Ultrahigh Resolution PM2.5 Mass Concentrations Based on Mie Scattering Theory by Using Landsat8 OLI Images over Pearl River Delta. Remote. Sens. 13(13): 2463 (2021) - [j14]Yuhao Wang, Yutian Pang, Oliver Chen, Hari N. Iyer, Parikshit Dutta, Padmanabhan K. Menon, Yongming Liu:
Uncertainty quantification and reduction in aircraft trajectory prediction using Bayesian-Entropy information fusion. Reliab. Eng. Syst. Saf. 212: 107650 (2021) - [j13]Yuhao Wang, Yi Gao, Yongming Liu, Sayan Ghosh, Waad Subber, Piyush Pandita, Liping Wang:
Bayesian-entropy gaussian process for constrained metamodeling. Reliab. Eng. Syst. Saf. 214: 107762 (2021) - [j12]Yongming Liu, Danling Tang, Ruru Deng, Bin Cao, Qidong Chen, Ruihao Zhang, Yan Qin, Shao-quan Zhang:
An Adaptive Blended Algorithm Approach for Deriving Bathymetry from Multispectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 801-817 (2021) - [j11]Bin Cao, Ruru Deng, Shulong Zhu, Yongming Liu, Yeheng Liang, Longhai Xiong:
Bathymetric Retrieval Selectively Using Multiangular High-Spatial-Resolution Satellite Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1060-1074 (2021) - [j10]Peng Zhao, Mathieu Joerger, Xiao Liang, Boris Pervan, Yongming Liu:
A New Method to Bound the Integrity Risk for Residual-Based ARAIM. IEEE Trans. Aerosp. Electron. Syst. 57(2): 1378-1385 (2021) - 2020
- [j9]Yang Yu, Houpu Yao, Yongming Liu:
Structural dynamics simulation using a novel physics-guided machine learning method. Eng. Appl. Artif. Intell. 96: 103947 (2020) - [j8]Jueming Hu, Heinz Erzberger, Kai Goebel, Yongming Liu:
Probabilistic Risk-Based Operational Safety Bound for Rotary-Wing Unmanned Aircraft Systems Traffic Management. J. Aerosp. Inf. Syst. 17(3): 171-181 (2020) - [j7]Yuhao Wang, Yongming Liu:
Bayesian entropy network for fusion of different types of information. Reliab. Eng. Syst. Saf. 195: 106747 (2020) - 2018
- [j6]Yongming Liu, Ruru Deng, Jun Li, Yan Qin, Longhai Xiong, Qidong Chen, Xulong Liu:
Multispectral Bathymetry via Linear Unmixing of the Benthic Reflectance. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(11): 4349-4363 (2018) - 2017
- [j5]Devon Bridgeman, Francis Tsow, Xiaojun Xian, Qinan Chang, Yongming Liu, Erica Forzani:
Thermochemical Humidity Detection in Harsh or Non-Steady Environments. Sensors 17(6): 1196 (2017) - 2016
- [j4]Jingjing He, Yibin Zhou, Xuefei Guan, Wei Zhang, Weifang Zhang, Yongming Liu:
Time Domain Strain/Stress Reconstruction Based on Empirical Mode Decomposition: Numerical Study and Experimental Validation. Sensors 16(8): 1290 (2016) - 2012
- [j3]Xuefei Guan, Ratneshwar Jha, Yongming Liu:
Probabilistic fatigue damage prognosis using maximum entropy approach. J. Intell. Manuf. 23(2): 163-171 (2012) - [j2]Xuefei Guan, Jingjing He, Ratneshwar Jha, Yongming Liu:
An efficient analytical Bayesian method for reliability and system response updating based on Laplace and inverse first-order reliability computations. Reliab. Eng. Syst. Saf. 97(1): 1-13 (2012) - 2008
- [j1]Yongming Liu, Liming Liu, Brant Stratman, Sankaran Mahadevan:
Multiaxial fatigue reliability analysis of railroad wheels. Reliab. Eng. Syst. Saf. 93(3): 456-467 (2008)
Conference and Workshop Papers
- 2023
- [c14]Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu:
Reinforcement Learning with Reward Machines in Stochastic Games. ECAI 2023: 1068-1075 - [c13]Zhengqing Yuan, Huiwen Xue, Chao Zhang, Yongming Liu:
Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems. IntelliSys (1) 2023: 561-576 - [c12]Hee Rin Lee, Xiaobo Tan, Wenlong Zhang, Yiming Deng, Yongming Liu:
Situating Robots in the Organizational Dynamics of the Gas Energy Industry: A Collaborative Design Study. RO-MAN 2023: 1096-1101 - [c11]Zhengqing Yuan, Xiaolong Zhang, Yue Wang, Xuecong Hou, Huiwen Xue, Zhuanzhe Zhao, Yongming Liu:
RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding. SMC 2023: 584-590 - 2022
- [c10]Yan Xu, Yongming Liu, Jinxing Ma:
Detection and Defense Against DDoS Attack on SDN Controller Based on Feature Selection. SocialSec 2022: 247-263 - 2021
- [c9]Xinyu Zhao, Hao Yan, Yongming Liu:
Hierarchical Tree-based Sequential Event Prediction with Application in the Aviation Accident Report. ICDE 2021: 1925-1930 - 2020
- [c8]Yanyu Wang, Pingbo Tang, Ying Shi, Yongming Liu, Nancy J. Cooke:
Predicting Terminal Mid-Air Collisions Through Simulator Experiments of Air Traffic Control. WSC 2020: 2536-2548 - 2019
- [c7]Ruihao Zhang, Ruru Deng, Yan Qin, Yeheng Liang, Yingfei Liu, Yongming Liu:
Inversion of Chromophoric Dissolved Organic Matter Using Sparse Regression. IGARSS 2019: 7869-7872 - [c6]Pingbo Tang, Yanyu Wang, Zhe Sun, Yongming Liu:
Data-driven Spatiotemporal Simulation of Ground Movements of Aircraft for Preventive Airport Safety. WSC 2019: 2992-3000 - 2018
- [c5]Jun Wu, Jingrui He, Yongming Liu:
ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation. IEEE BigData 2018: 871-880 - 2017
- [c4]Yuanyuan Zhang, Ning Cao, Guofu Chang, Li Zhou, Xiande Yu, Yongming Liu:
Wireless Sensor Routing Protocol Research Based on Forest Fire Protection. CSE/EUC (2) 2017: 265-268 - [c3]Weiguo Hou, Gang Jin, Yongming Liu:
Reliability allocation for polymer processing rheometer based on modified grading method. ICSRS 2017: 47-50 - [c2]Qin Li, Weiguo Hou, Yongming Liu:
Vibrational simulation analysis for an audio system of automobiles. ICSRS 2017: 282-286 - [c1]Xiaodong Sun, Weiguo Hou, Yongming Liu:
Thermal simulation analysis for an audio system of automobiles. ICSRS 2017: 292-295
Informal and Other Publications
- 2024
- [i21]Yongming Liu:
Curvature Augmented Manifold Embedding and Learning. CoRR abs/2403.14813 (2024) - [i20]Xinyu Zhao, Hao Yan, Yongming Liu:
Hierarchical Multi-label Classification for Fine-level Event Extraction from Aviation Accident Reports. CoRR abs/2403.17914 (2024) - [i19]Rahul Rathnakumar, Jiayu Huang, Hao Yan, Yongming Liu:
Bayesian Entropy Neural Networks for Physics-Aware Prediction. CoRR abs/2407.01015 (2024) - 2023
- [i18]Rahul Rathnakumar, Yutian Pang, Yongming Liu:
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization. CoRR abs/2302.06827 (2023) - [i17]Zhengqing Yuan, Huiwen Xue, Chao Zhang, Yongming Liu:
Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems. CoRR abs/2302.13741 (2023) - [i16]Zhengqing Yuan, Huiwen Xue, Xinyi Wang, Yongming Liu, Zhuanzhe Zhao, Kun Wang:
ArtGPT-4: Artistic Vision-Language Understanding with Adapter-enhanced MiniGPT-4. CoRR abs/2305.07490 (2023) - [i15]Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu:
Reinforcement Learning With Reward Machines in Stochastic Games. CoRR abs/2305.17372 (2023) - [i14]Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, Yongming Liu:
Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph Learning. CoRR abs/2307.10559 (2023) - [i13]Yutian Pang, Peng Zhao, Jueming Hu, Yongming Liu:
Machine Learning-Enhanced Aircraft Landing Scheduling under Uncertainties. CoRR abs/2311.16030 (2023) - 2022
- [i12]Jie Chen, Yongming Liu:
Neural Optimization Machine: A Neural Network Approach for Optimization. CoRR abs/2208.03897 (2022) - [i11]Jiayu Huang, Yutian Pang, Yongming Liu, Hao Yan:
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints. CoRR abs/2210.08608 (2022) - [i10]Zhengqing Yuan, Zhuanzhe Zhao, Yongming Liu, Xiaolong Zhang, Xuecong Hou, Yue Wang:
RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding. CoRR abs/2212.05961 (2022) - 2021
- [i9]Zhiming Zhang, Yongming Liu:
Robust Data-Driven Discovery of Partial Differential Equations under Uncertainties. CoRR abs/2102.06504 (2021) - [i8]Yutian Pang, Sheng Cheng, Jueming Hu, Yongming Liu:
Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks. CoRR abs/2106.09223 (2021) - [i7]Zhiming Zhang, Yongming Liu:
Parsimony-Enhanced Sparse Bayesian Learning for Robust Discovery of Partial Differential Equations. CoRR abs/2107.07040 (2021) - [i6]Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu:
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines. CoRR abs/2110.00096 (2021) - [i5]Zhiming Zhang, Yongming Liu:
Robust physics discovery via supervised and unsupervised pattern recognition using the Euler characteristic. CoRR abs/2110.13610 (2021) - [i4]Jueming Hu, Xuxi Yang, Weichang Wang, Peng Wei, Lei Ying, Yongming Liu:
Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning. CoRR abs/2111.07037 (2021) - 2020
- [i3]Houpu Yao, Yi Gao, Yongming Liu:
FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction. CoRR abs/2002.01893 (2020) - 2018
- [i2]Jun Wu, Jingrui He, Yongming Liu:
ImVerde: Vertex-Diminished Random Walk for Learning Network Representation from Imbalanced Data. CoRR abs/1804.09222 (2018) - 2016
- [i1]Ruijin Cang, Yaopengxiao Xu, Shaohua Chen, Yongming Liu, Yang Jiao, Max Yi Ren:
Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design. CoRR abs/1612.07401 (2016)
Coauthor Index
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last updated on 2024-11-04 21:41 CET by the dblp team
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