Xiaobing Dai

Orcid: 0000-0002-0190-2538

According to our database1, Xiaobing Dai authored at least 22 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Attention-Based Progressive Discrimination Generative Adversarial Networks for Polarimetric Image Demosaicing.
IEEE Trans. Computational Imaging, 2024

Learning-Based Prescribed-Time Safety for Control of Unknown Systems With Control Barrier Functions.
IEEE Control. Syst. Lett., 2024

Learning-based Parameterized Barrier Function for Safety-Critical Control of Unknown Systems.
CoRR, 2024

Kernel-based Learning for Safe Control of Discrete-Time Unknown Systems under Incomplete Observations.
CoRR, 2024

Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression.
CoRR, 2024

Whom to Trust? Elective Learning for Distributed Gaussian Process Regression.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control Under Switching Topologies.
Proceedings of the American Control Conference, 2024

2023
Improved Generalized IHS Based on Total Variation for Pansharpening.
Remote. Sens., 2023

Semi-automated Thermal Envelope Model Setup for Adaptive Model Predictive Control with Event-triggered System Identification.
CoRR, 2023

Distributed Event-Triggered Online Learning for Multi-Agent System Control using Gaussian Process Regression.
CoRR, 2023

Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing.
CoRR, 2023

Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2021
Locality-constrained sparse representation for hyperspectral image classification.
Inf. Sci., 2021

Dynamics Modelling and Simulation of Super Truss Element based on Non-linear Beam Element.
Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, 2021

2019
Multifeature-Based Discriminative Label Consistent K-SVD for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Spectral-Spatial Attention Networks for Hyperspectral Image Classification.
Remote. Sens., 2019

Hyperspectral Unmixing with Gaussian Mixture Model and Low-Rank Representation.
Remote. Sens., 2019

Visible/Infrared Combined 3D Reconstruction Scheme Based on Nonrigid Registration of Multi-Modality Images With Mixed Features.
IEEE Access, 2019

Spectral-Spatial Classification of Hyperspectral Image based on a Joint Attention Network.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

GRU with Spatial Prior for Hyperspectral Image Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Gaussian Mixture Model for Hyperspectral Unmixing with Low-Rank Representation.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


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