2025
Neural operator-based super-fidelity: A warm-start approach for accelerating steady-state simulations.
J. Comput. Phys., 2025
2024
A Scalable Federated Learning Approach for Collaborative Smart Healthcare Systems With Intermittent Clients Using Medical Imaging.
IEEE J. Biomed. Health Informatics, June, 2024
BI-EqNO: Generalized Approximate Bayesian Inference with an Equivariant Neural Operator Framework.
CoRR, 2024
An Improved Plant Growth Algorithm for UAV Three-Dimensional Path Planning.
IEEE Access, 2024
2023
An equivariant neural operator for developing nonlocal tensorial constitutive models.
J. Comput. Phys., September, 2023
Coastal Aquaculture Area Extraction Based on Self-Attention Mechanism and Auxiliary Loss.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Investigation of Self-Powered IoT Sensor Nodes for Harvesting Hybrid Indoor Ambient Light and Heat Energy.
Sensors, 2023
Combining direct and indirect sparse data for learning generalizable turbulence models.
J. Comput. Phys., 2023
2022
Explicitly Modeling Stress Softening and Thermal Recovery for Rubber-like Materials.
Symmetry, 2022
Superresolution Reconstruction of Single Image for Latent features.
CoRR, 2022
2021
Multifactorial Particle Swarm Optimization Enhanced by Hybridization With Firefly Algorithm.
Int. J. Swarm Intell. Res., 2021
Model Selecting PSO-FA Hybrid for Complex Function Optimization.
Int. J. Swarm Intell. Res., 2021
Frame invariance and scalability of neural operators for partial differential equations.
CoRR, 2021
Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids.
CoRR, 2021
2020
Regularized ensemble Kalman methods for inverse problems.
J. Comput. Phys., 2020
Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems.
J. Comput. Phys., 2020
Hyperspectral Recognition and Early Warning of Rice Diseases and Insect Pests Based on Convolution Neural Network.
Proceedings of the Advanced Hybrid Information Processing, 2020
Online Monitoring Method of Big Data Load Anomaly Based on Deep Learning.
Proceedings of the Advanced Hybrid Information Processing, 2020
2019
Multifactorial PSO-FA Hybrid Algorithm for Multiple Car Design Benchmark.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Multifactorial optimization using Artificial Bee Colony and its application to Car Structure Design Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Prediction of Reynolds Stresses in High-Mach-Number Turbulent Boundary Layers using Physics-Informed Machine Learning.
CoRR, 2018
Research on Wireless Spectrum Sensing Technology Based on Machine Learning.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2018
Hybrid swarm of particle swarm with firefly for complex function optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
2017
Multi-match Segments Similarity Join Algorithm Based on MapReduce.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017
A General Swarm Intelligence Model for Continuous Function Optimization.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Hybrid swarm model with changing characteristics of particle swarm and firefly.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017
2016
Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: A data-driven, physics-informed Bayesian approach.
J. Comput. Phys., 2016
Sediment micromechanics in sheet flows induced by asymmetric waves: A CFD-DEM study.
Comput. Geosci., 2016
SediFoam: A general-purpose, open-source CFD-DEM solver for particle-laden flow with emphasis on sediment transport.
Comput. Geosci., 2016
Heterogenous swarm with first and second order dynamics for function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2012
A consistent dual-mesh framework for hybrid LES/RANS modeling.
J. Comput. Phys., 2012
2003
Linear RF power amplifier design for wireless signals: a spectrum analysis approach.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
2002
Spectrum design of RF power amplifier for wireless communication systems.
IEEE Trans. Consumer Electron., 2002
Linear RF power amplifier design for MIRS M-16-QAM signals: A spectrum analysis approach.
Proceedings of the IEEE International Conference on Acoustics, 2002
2001
Linear RF power amplifier design for TDMA signals: a spectrum analysis approach.
Proceedings of the IEEE International Conference on Acoustics, 2001
1995
State decoupling in estimation theory.
Proceedings of the 1995 International Conference on Acoustics, 1995
1994
On channel estimation for RAKE receiver in a mobile multipath fading channel.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994