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Yongming Liu
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2020 – today
- 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) - [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
- [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) - [c13]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 - [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 - [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
- [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) - [c10]Yan Xu, Yongming Liu, Jinxing Ma:
Detection and Defense Against DDoS Attack on SDN Controller Based on Feature Selection. SocialSec 2022: 247-263 - [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
- [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) - [c9]Xinyu Zhao, Hao Yan, Yongming Liu:
Hierarchical Tree-based Sequential Event Prediction with Application in the Aviation Accident Report. ICDE 2021: 1925-1930 - [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
- [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) - [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 - [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)
2010 – 2019
- 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
- [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) - [c5]Jun Wu, Jingrui He, Yongming Liu:
ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation. IEEE BigData 2018: 871-880 - [i2]Jun Wu, Jingrui He, Yongming Liu:
ImVerde: Vertex-Diminished Random Walk for Learning Network Representation from Imbalanced Data. CoRR abs/1804.09222 (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) - [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 - 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) - [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) - 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)
2000 – 2009
- 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)
Coauthor Index
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last updated on 2024-09-22 00:36 CEST by the dblp team
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