Gaussian Mixture Model for Hyperspectral Unmixing with Low-Rank Representation. - Qiwen Jin; Yong Ma 001; Xiaoguang Mei; Xiaobing Dai; Hao Li 034; Fan Fan 001; Jun Huang 008 (IGARSS, 2019)

GRU with Spatial Prior for Hyperspectral Image Classification. - Erting Pan; Yong Ma 001; Xiaobing Dai; Fan Fan 001; Jun Huang 008; Xiaoguang Mei; Jiayi Ma 001 (IGARSS, 2019)

Spectral-Spatial Classification of Hyperspectral Image based on a Joint Attention Network. - Erting Pan; Yong Ma 001; Xiaoguang Mei; Xiaobing Dai; Fan Fan 001; Xin Tian 006; Jiayi Ma 001 (IGARSS, 2019)

Visible/Infrared Combined 3D Reconstruction Scheme Based on Nonrigid Registration of Multi-Modality Images With Mixed Features. - Yong Ma 001; Yuchen Wang; Xiaoguang Mei; Chengyin Liu; Xiaobing Dai; Fan Fan 001; Jun Huang 008 (IEEE Access, 2019)

Hyperspectral Unmixing with Gaussian Mixture Model and Low-Rank Representation. - Yong Ma 001; Qiwen Jin; Xiaoguang Mei; Xiaobing Dai; Fan Fan 001; Hao Li 034; Jun Huang 008 (Remote. Sens., 2019)

Spectral-Spatial Attention Networks for Hyperspectral Image Classification. - Xiaoguang Mei; Erting Pan; Yong Ma 001; Xiaobing Dai; Jun Huang 008; Fan Fan 001; Qinglei Du; Hong Zheng; Jiayi Ma 001 (Remote. Sens., 2019)

Multifeature-Based Discriminative Label Consistent K-SVD for Hyperspectral Image Classification. - Yong Ma 001; Yuanshu Zhang; Xiaoguang Mei; Xiaobing Dai; Jiayi Ma 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Dynamics Modelling and Simulation of Super Truss Element based on Non-linear Beam Element. - Lingchong Gao; Xiaobing Dai; Michael Kleeberger; Johannes Fottner (SIMULTECH, 2021)

Locality-constrained sparse representation for hyperspectral image classification. - Yuanshu Zhang; Yong Ma 001; Xiaobing Dai; Hao Li 034; Xiaoguang Mei; Jiayi Ma 001 (Inf. Sci., 2021)

Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy. - Zhenxiao Yin; Xiaobing Dai; Zewen Yang; Yang Shen; Georges Hattab; Hang Zhao (IECON, 2023)

Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning. - Xiaobing Dai; Armin Lederer; Zewen Yang; Sandra Hirche (L4DC, 2023)

Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing. - Xiaobing Dai; Huanzhuo Wu; Siyi Wang; Junjie Jiao; Giang T. Nguyen 002; Frank H. P. Fitzek; Sandra Hirche (CoRR, 2023)

Distributed Event-Triggered Online Learning for Multi-Agent System Control using Gaussian Process Regression. - Xiaobing Dai; Zewen Yang; Mengtian Xu; Sandra Hirche (CoRR, 2023)

Semi-automated Thermal Envelope Model Setup for Adaptive Model Predictive Control with Event-triggered System Identification. - Lu Wan; Xiaobing Dai; Torsten Welfonder; Ekaterina Petrova; Pieter Pauwels (CoRR, 2023)

Improved Generalized IHS Based on Total Variation for Pansharpening. - Xuefeng Zhang; Xiaobing Dai; Xuemin Zhang; Yuchen Hu; Yingdong Kang; Guang Jin (Remote. Sens., 2023)

Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control Under Switching Topologies. - Zewen Yang; Songbo Dong; Armin Lederer; Xiaobing Dai; Siyu Chen; Stefan Sosnowski; Georges Hattab; Sandra Hirche (ACC, 2024)

Whom to Trust? Elective Learning for Distributed Gaussian Process Regression. - Zewen Yang; Xiaobing Dai; Akshat Dubey; Sandra Hirche; Georges Hattab (AAMAS, 2024)

Learning-based Parameterized Barrier Function for Safety-Critical Control of Unknown Systems. - Sihua Zhang; Di-Hua Zhai; Xiaobing Dai; Tzu-Yuan Huang; Yuanqing Xia; Sandra Hirche (CDC, 2024)

Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression. - Xiaobing Dai; Zewen Yang; Mengtian Xu; Fangzhou Liu; Georges Hattab; Sandra Hirche (CoRR, 2024)

Kernel-based Learning for Safe Control of Discrete-Time Unknown Systems under Incomplete Observations. - Zewen Yang; Xiaobing Dai; Weijie Yang; Bahar Ilgen; Aleksandar Anzel; Georges Hattab (CoRR, 2024)

Coevolution of Opinion Dynamics and Recommendation System: Modeling Analysis and Reinforcement Learning Based Manipulation. - Yuhong Chen; Xiaobing Dai; Martin Buss; Fangzhou Liu (CoRR, 2024)

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document. - Zewen Yang; Xiaobing Dai; Sandra Hirche (CoRR, 2024)

GPgym: A Remote Service Platform with Gaussian Process Regression for Online Learning. - Xiaobing Dai; Zewen Yang (CoRR, 2024)

Learning-Based Prescribed-Time Safety for Control of Unknown Systems With Control Barrier Functions. - Tzu-Yuan Huang; Sihua Zhang; Xiaobing Dai; Alexandre Capone; Velimir Todorovski; Stefan Sosnowski; Sandra Hirche (IEEE Control. Syst. Lett., 2024)

Decentralized event-triggered online learning for safe consensus control of multi-agent systems with Gaussian process regression. - Xiaobing Dai; Zewen Yang; Mengtian Xu; Sihua Zhang; Fangzhou Liu; Georges Hattab; Sandra Hirche (Eur. J. Control, 2024)

Attention-Based Progressive Discrimination Generative Adversarial Networks for Polarimetric Image Demosaicing. - Yuxuan Guo; Xiaobing Dai; Shaoju Wang; Guang Jin; Xuemin Zhang (IEEE Trans. Computational Imaging, 2024)

Asynchronous Distributed Gaussian Process Regression. - Zewen Yang; Xiaobing Dai; Sandra Hirche (AAAI, 2025)

Safe event-triggered control of unmanned surface vehicles with Gaussian processes: Resilience in denial of service attacks and uncertain dynamics. - Zewen Yang; Xiaobing Dai; Liang Fang; Jiajia Zhou; Zheping Yan (Eng. Appl. Artif. Intell., 2025)

NOT-156: Night Object Tracking Using Low-Light and Thermal Infrared: From Multimodal Common-Aperture Camera to Benchmark Datasets. - Chen Sun; Xinyu Wang 003; Shenghua Fan; Xiaobing Dai; Yuting Wan; Xiao Jiang; Zengliang Zhu; Yanfei Zhong (IEEE Trans. Geosci. Remote. Sens., 2025)

Safe Flow Matching: Robot Motion Planning with Control Barrier Functions. - Xiaobing Dai; Dian Yu; Shanshan Zhang; Zewen Yang (CoRR, 2025)

UniConFlow: A Unified Constrained Generalization Framework for Certified Motion Planning with Flow Matching Models. - Zewen Yang; Xiaobing Dai; Dian Yu; Qianru Li; Yu Li; Valentin Le Mesle (CoRR, 2025)

Cooperative Online Learning for Multiagent System Control via Gaussian Processes With Event-Triggered Mechanism. - Xiaobing Dai; Zewen Yang; Sihua Zhang; Di-Hua Zhai; Yuanqing Xia; Sandra Hirche (IEEE Trans. Neural Networks Learn. Syst., 2025)

Streaming Generated Gaussian Process Experts for Online Learning and Control. - Zewen Yang; Dongfa Zhang; Xiaobing Dai; Fengyi Yu; Chi Zhang; Bingkun Huang; Hamid Sadeghian; Sami Haddadin (CoRR, 2025)