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Xiaobing Dai
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2020 – today
- 2024
- [j8]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: 1817-1822 (2024) - [j7]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: 713-725 (2024) - [c8]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. ACC 2024: 560-567 - [c7]Zewen Yang, Xiaobing Dai, Akshat Dubey, Sandra Hirche, Georges Hattab:
Whom to Trust? Elective Learning for Distributed Gaussian Process Regression. AAMAS 2024: 2020-2028 - [i11]Zewen Yang, Xiaobing Dai, Akshat Dubey, Sandra Hirche, Georges Hattab:
Whom to Trust? Elective Learning for Distributed Gaussian Process Regression. CoRR abs/2402.03014 (2024) - [i10]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 abs/2402.03048 (2024) - [i9]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 abs/2402.03174 (2024) - [i8]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 abs/2403.08054 (2024) - [i7]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 abs/2405.00822 (2024) - [i6]Sihua Zhang, Di-Hua Zhai, Xiaobing Dai, Tzu-Yuan Huang, Yuanqing Xia, Sandra Hirche:
Learning-based Parameterized Barrier Function for Safety-Critical Control of Unknown Systems. CoRR abs/2408.05319 (2024) - 2023
- [j6]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): 2945 (2023) - [c6]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: 1-7 - [c5]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: 445-457 - [i5]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 abs/2304.05131 (2023) - [i4]Xiaobing Dai, Zewen Yang, Mengtian Xu, Sandra Hirche:
Distributed Event-Triggered Online Learning for Multi-Agent System Control using Gaussian Process Regression. CoRR abs/2304.05138 (2023) - [i3]Xiaobing Dai, Armin Lederer, Zewen Yang, Sandra Hirche:
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning. CoRR abs/2305.08169 (2023) - [i2]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 abs/2307.00638 (2023) - [i1]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 abs/2307.13945 (2023) - 2021
- [j5]Yuanshu Zhang, Yong Ma, Xiaobing Dai, Hao Li, Xiaoguang Mei, Jiayi Ma:
Locality-constrained sparse representation for hyperspectral image classification. Inf. Sci. 546: 858-870 (2021) - [c4]Lingchong Gao, Xiaobing Dai, Michael Kleeberger, Johannes Fottner:
Dynamics Modelling and Simulation of Super Truss Element based on Non-linear Beam Element. SIMULTECH 2021: 50-61
2010 – 2019
- 2019
- [j4]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: 19199-19211 (2019) - [j3]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): 911 (2019) - [j2]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): 963 (2019) - [j1]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): 4995-5008 (2019) - [c3]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: 294-297 - [c2]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: 413-416 - [c1]Erting Pan, Yong Ma, Xiaobing Dai, Fan Fan, Jun Huang, Xiaoguang Mei, Jiayi Ma:
GRU with Spatial Prior for Hyperspectral Image Classification. IGARSS 2019: 967-970
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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