Xiaobing Dai

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Gaussian Process

Model Predictive Control

Hyperspectral Image Classification

Top Venues

IEEE Control. Syst. Lett.

Publications

Tzu-Yuan Huang, Xiaobing Dai, Sihua Zhang, Alexandre Capone, Velimir Todorovski, Stefan Sosnowski, Sandra Hirche
Learning-based Prescribed-Time Safety for Control of Unknown Systems with Control Barrier Functions. CoRR (2024)
Tzu-Yuan Huang, Sihua Zhang, Xiaobing Dai, Alexandre Capone, Velimir Todorovski, Stefan Sosnowski, Sandra Hirche
Learning-Based Prescribed-Time Safety for Control of Unknown Systems With Control Barrier Functions. IEEE Control. Syst. Lett. 8 (2024)
Zewen Yang, Songbo Dong, Armin Lederer, Xiaobing Dai, Siyu Chen, Stefan Sosnowski, Georges Hattab, Sandra Hirche
Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies. CoRR (2024)
Yuxuan Guo, Xiaobing Dai, Shaoju Wang, Guang Jin, Xuemin Zhang
Attention-Based Progressive Discrimination Generative Adversarial Networks for Polarimetric Image Demosaicing. IEEE Trans. Computational Imaging 10 (2024)
Zewen Yang, Xiaobing Dai, Akshat Dubey, Sandra Hirche, Georges Hattab
Whom to Trust? Elective Learning for Distributed Gaussian Process Regression. CoRR (2024)
Zewen Yang, Xiaobing Dai, Akshat Dubey, Sandra Hirche, Georges Hattab
Whom to Trust? Elective Learning for Distributed Gaussian Process Regression. AAMAS (2024)
Xiaobing Dai, Zewen Yang, Mengtian Xu, Fangzhou Liu, Georges Hattab, Sandra Hirche
Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression. CoRR (2024)
Zewen Yang, Xiaobing Dai, Weijie Yang, Bahar Ilgen, Aleksandar Anzel, Georges Hattab
Kernel-based Learning for Safe Control of Discrete-Time Unknown Systems under Incomplete Observations. CoRR (2024)
Xiaobing Dai, Zewen Yang, Mengtian Xu, Sandra Hirche
Distributed Event-Triggered Online Learning for Multi-Agent System Control using Gaussian Process Regression. CoRR (2023)
Zhenxiao Yin, Xiaobing Dai, Zewen Yang, Yang Shen, Georges Hattab, Hang Zhao
Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy. CoRR (2023)
Xuefeng Zhang, Xiaobing Dai, Xuemin Zhang, Yuchen Hu, Yingdong Kang, Guang Jin
Improved Generalized IHS Based on Total Variation for Pansharpening. Remote. Sens. 15 (11) (2023)
Xiaobing Dai, Huanzhuo Wu, Siyi Wang, Junjie Jiao, Giang T. Nguyen, Frank H. P. Fitzek, Sandra Hirche
Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing. CoRR (2023)
Zhenxiao Yin, Xiaobing Dai, Zewen Yang, Yang Shen, Georges Hattab, Hang Zhao
Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy. IECON (2023)
Xiaobing Dai, Armin Lederer, Zewen Yang, Sandra Hirche
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning. L4DC (2023)
Xiaobing Dai, Armin Lederer, Zewen Yang, Sandra Hirche
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning. CoRR (2023)
Lu Wan, Xiaobing Dai, Torsten Welfonder, Ekaterina Petrova, Pieter Pauwels
Semi-automated Thermal Envelope Model Setup for Adaptive Model Predictive Control with Event-triggered System Identification. CoRR (2023)
Yuanshu Zhang, Yong Ma, Xiaobing Dai, Hao Li, Xiaoguang Mei, Jiayi Ma
Locality-constrained sparse representation for hyperspectral image classification. Inf. Sci. 546 (2021)
Lingchong Gao, Xiaobing Dai, Michael Kleeberger, Johannes Fottner
Dynamics Modelling and Simulation of Super Truss Element based on Non-linear Beam Element. SIMULTECH (2021)
Yong Ma, Yuchen Wang, Xiaoguang Mei, Chengyin Liu, Xiaobing Dai, Fan Fan, Jun Huang
Visible/Infrared Combined 3D Reconstruction Scheme Based on Nonrigid Registration of Multi-Modality Images With Mixed Features. IEEE Access 7 (2019)
Erting Pan, Yong Ma, Xiaobing Dai, Fan Fan, Jun Huang, Xiaoguang Mei, Jiayi Ma
GRU with Spatial Prior for Hyperspectral Image Classification. IGARSS (2019)
Xiaoguang Mei, Erting Pan, Yong Ma, Xiaobing Dai, Jun Huang, Fan Fan, Qinglei Du, Hong Zheng, Jiayi Ma
Spectral-Spatial Attention Networks for Hyperspectral Image Classification. Remote. Sens. 11 (8) (2019)
Yong Ma, Yuanshu Zhang, Xiaoguang Mei, Xiaobing Dai, Jiayi Ma
Multifeature-Based Discriminative Label Consistent K-SVD for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (12) (2019)
Erting Pan, Yong Ma, Xiaoguang Mei, Xiaobing Dai, Fan Fan, Xin Tian, Jiayi Ma
Spectral-Spatial Classification of Hyperspectral Image based on a Joint Attention Network. IGARSS (2019)
Yong Ma, Qiwen Jin, Xiaoguang Mei, Xiaobing Dai, Fan Fan, Hao Li, Jun Huang
Hyperspectral Unmixing with Gaussian Mixture Model and Low-Rank Representation. Remote. Sens. 11 (8) (2019)
Qiwen Jin, Yong Ma, Xiaoguang Mei, Xiaobing Dai, Hao Li, Fan Fan, Jun Huang
Gaussian Mixture Model for Hyperspectral Unmixing with Low-Rank Representation. IGARSS (2019)