Xiaobing Dai - RankMe

46 papers A* 2A 1C 6Journal 35Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Coevolution of Opinion Dynamics and Recommendation System: Modeling Analysis and Reinforcement Learning Based Manipulation. IEEE Trans. Comput. Soc. Syst. Yuhong Chen, Xiaobing Dai, Martin Buss, Fangzhou Liu
2026	J	`jnl`	Quality or Quantity? Error-Informed Selective Online Learning with Gaussian Processes in Multi-Agent Systems: Extended Version. CoRR Zewen Yang, Xiaobing Dai, Jiajun Cheng, Yulong Huang, Peng Shi
2026	A*	`conf`	Streaming Generated Gaussian Process Experts for Online Learning and Control. AAAI Zewen Yang, Dongfa Zhang, Xiaobing Dai, Fengyi Yu, Chi Zhang, Bingkun Huang, Hamid Sadeghian, Sami Haddadin
2025	A*	`conf`	Asynchronous Distributed Gaussian Process Regression. AAAI Zewen Yang, Xiaobing Dai, Sandra Hirche
2025	J	`jnl`	Cooperative Online Learning for Multiagent System Control via Gaussian Processes With Event-Triggered Mechanism. IEEE Trans. Neural Networks Learn. Syst. Xiaobing Dai, Zewen Yang, Sihua Zhang, Di-Hua Zhai, Yuanqing Xia, Sandra Hirche
2025	J	`jnl`	Gaussian Process-Based Prescribed-Time Input-to-State Safety for Unknown System Control. IEEE Trans. Ind. Electron. Sihua Zhang, Di-Hua Zhai, Xiaobing Dai, Tzu-Yuan Huang, Yuanqing Xia
2025	J	`jnl`	NOT-156: Night Object Tracking Using Low-Light and Thermal Infrared: From Multimodal Common-Aperture Camera to Benchmark Datasets. IEEE Trans. Geosci. Remote. Sens. Chen Sun, Xinyu Wang, Shenghua Fan, Xiaobing Dai, Yuting Wan, Xiao Jiang, Zengliang Zhu, Yanfei Zhong
2025	J	`jnl`	Prompt2Auto: From Motion Prompt to Automated Control via Geometry-Invariant One-Shot Gaussian Process Learning. CoRR Zewen Yang, Xiaobing Dai, Dongfa Zhang, Yu Li, Ziyang Meng, Bingkun Huang, Hamid Sadeghian, Sami Haddadin
2025	J	`jnl`	SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning. CoRR Tzu-Yuan Huang, Armin Lederer, Dai-Jie Wu, Xiaobing Dai, Sihua Zhang, Stefan Sosnowski, Shao-Hua Sun, Sandra Hirche
2025	J	`jnl`	Safe Flow Matching: Robot Motion Planning with Control Barrier Functions. CoRR Xiaobing Dai, Dian Yu, Shanshan Zhang, Zewen Yang
2025	J	`jnl`	Safe event-triggered control of unmanned surface vehicles with Gaussian processes: Resilience in denial of service attacks and uncertain dynamics. Eng. Appl. Artif. Intell. Zewen Yang, Xiaobing Dai, Liang Fang, Jiajia Zhou, Zheping Yan
2025	J	`jnl`	Streaming Generated Gaussian Process Experts for Online Learning and Control. CoRR Zewen Yang, Dongfa Zhang, Xiaobing Dai, Fengyi Yu, Chi Zhang, Bingkun Huang, Hamid Sadeghian, Sami Haddadin
2025	J	`jnl`	UniConFlow: A Unified Constrained Generalization Framework for Certified Motion Planning with Flow Matching Models. CoRR Zewen Yang, Xiaobing Dai, Dian Yu, Qianru Li, Yu Li, Valentin Le Mesle
2024	J	`jnl`	Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document. CoRR Zewen Yang, Xiaobing Dai, Sandra Hirche
2024	J	`jnl`	Attention-Based Progressive Discrimination Generative Adversarial Networks for Polarimetric Image Demosaicing. IEEE Trans. Computational Imaging Yuxuan Guo, Xiaobing Dai, Shaoju Wang, Guang Jin, Xuemin Zhang
2024	J	`jnl`	Coevolution of Opinion Dynamics and Recommendation System: Modeling Analysis and Reinforcement Learning Based Manipulation. CoRR Yuhong Chen, Xiaobing Dai, Martin Buss, Fangzhou Liu
2024	C	`conf`	Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control Under Switching Topologies. ACC Zewen Yang, Songbo Dong, Armin Lederer, Xiaobing Dai, Siyu Chen, Stefan Sosnowski, Georges Hattab, Sandra Hirche
2024	J	`jnl`	Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies. CoRR Zewen Yang, Songbo Dong, Armin Lederer, Xiaobing Dai, Siyu Chen, Stefan Sosnowski, Georges Hattab, Sandra Hirche
2024	J	`jnl`	Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression. CoRR Xiaobing Dai, Zewen Yang, Mengtian Xu, Fangzhou Liu, Georges Hattab, Sandra Hirche
2024	J	`jnl`	Decentralized event-triggered online learning for safe consensus control of multi-agent systems with Gaussian process regression. Eur. J. Control Xiaobing Dai, Zewen Yang, Mengtian Xu, Sihua Zhang, Fangzhou Liu, Georges Hattab, Sandra Hirche
2024	J	`jnl`	GPgym: A Remote Service Platform with Gaussian Process Regression for Online Learning. CoRR Xiaobing Dai, Zewen Yang
2024	J	`jnl`	Kernel-based Learning for Safe Control of Discrete-Time Unknown Systems under Incomplete Observations. CoRR Zewen Yang, Xiaobing Dai, Weijie Yang, Bahar Ilgen, Aleksandar Anzel, Georges Hattab
2024	J	`jnl`	Learning-Based Prescribed-Time Safety for Control of Unknown Systems With Control Barrier Functions. IEEE Control. Syst. Lett. Tzu-Yuan Huang, Sihua Zhang, Xiaobing Dai, Alexandre Capone, Velimir Todorovski, Stefan Sosnowski, Sandra Hirche
2024	—	`conf`	Learning-based Parameterized Barrier Function for Safety-Critical Control of Unknown Systems. CDC Sihua Zhang, Di-Hua Zhai, Xiaobing Dai, Tzu-Yuan Huang, Yuanqing Xia, Sandra Hirche
2024	J	`jnl`	Learning-based Parameterized Barrier Function for Safety-Critical Control of Unknown Systems. CoRR Sihua Zhang, Di-Hua Zhai, Xiaobing Dai, Tzu-Yuan Huang, Yuanqing Xia, Sandra Hirche
2024	J	`jnl`	Learning-based Prescribed-Time Safety for Control of Unknown Systems with Control Barrier Functions. CoRR Tzu-Yuan Huang, Xiaobing Dai, Sihua Zhang, Alexandre Capone, Velimir Todorovski, Stefan Sosnowski, Sandra Hirche
2024	J	`jnl`	Secure blockchain bidding auction protocol against malicious adversaries. High Confid. Comput. Xiaobing Dai, Jiajing Liu, Xin Liu, Xiaofen Tu, Ruexue Wang
2024	A	`conf`	Whom to Trust? Elective Learning for Distributed Gaussian Process Regression. AAMAS Zewen Yang, Xiaobing Dai, Akshat Dubey, Sandra Hirche, Georges Hattab
2024	J	`jnl`	Whom to Trust? Elective Learning for Distributed Gaussian Process Regression. CoRR Zewen Yang, Xiaobing Dai, Akshat Dubey, Sandra Hirche, Georges Hattab
2023	—	`conf`	Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning. L4DC Xiaobing Dai, Armin Lederer, Zewen Yang, Sandra Hirche
2023	J	`jnl`	Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning. CoRR Xiaobing Dai, Armin Lederer, Zewen Yang, Sandra Hirche
2023	J	`jnl`	Distributed Event-Triggered Online Learning for Multi-Agent System Control using Gaussian Process Regression. CoRR Xiaobing Dai, Zewen Yang, Mengtian Xu, Sandra Hirche
2023	J	`jnl`	Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing. CoRR Xiaobing Dai, Huanzhuo Wu, Siyi Wang, Junjie Jiao, Giang T. Nguyen, Frank H. P. Fitzek, Sandra Hirche
2023	J	`jnl`	Improved Generalized IHS Based on Total Variation for Pansharpening. Remote. Sens. Xuefeng Zhang, Xiaobing Dai, Xuemin Zhang, Yuchen Hu, Yingdong Kang, Guang Jin
2023	C	`conf`	Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy. IECON Zhenxiao Yin, Xiaobing Dai, Zewen Yang, Yang Shen, Georges Hattab, Hang Zhao
2023	J	`jnl`	Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy. CoRR Zhenxiao Yin, Xiaobing Dai, Zewen Yang, Yang Shen, Georges Hattab, Hang Zhao
2023	J	`jnl`	Semi-automated Thermal Envelope Model Setup for Adaptive Model Predictive Control with Event-triggered System Identification. CoRR Lu Wan, Xiaobing Dai, Torsten Welfonder, Ekaterina Petrova, Pieter Pauwels
2021	C	`conf`	Dynamics Modelling and Simulation of Super Truss Element based on Non-linear Beam Element. SIMULTECH Lingchong Gao, Xiaobing Dai, Michael Kleeberger, Johannes Fottner
2021	J	`jnl`	Locality-constrained sparse representation for hyperspectral image classification. Inf. Sci. Yuanshu Zhang, Yong Ma, Xiaobing Dai, Hao Li, Xiaoguang Mei, Jiayi Ma
2019	C	`conf`	GRU with Spatial Prior for Hyperspectral Image Classification. IGARSS Erting Pan, Yong Ma, Xiaobing Dai, Fan Fan, Jun Huang, Xiaoguang Mei, Jiayi Ma
2019	C	`conf`	Gaussian Mixture Model for Hyperspectral Unmixing with Low-Rank Representation. IGARSS Qiwen Jin, Yong Ma, Xiaoguang Mei, Xiaobing Dai, Hao Li, Fan Fan, Jun Huang
2019	J	`jnl`	Hyperspectral Unmixing with Gaussian Mixture Model and Low-Rank Representation. Remote. Sens. Yong Ma, Qiwen Jin, Xiaoguang Mei, Xiaobing Dai, Fan Fan, Hao Li, Jun Huang
2019	J	`jnl`	Multifeature-Based Discriminative Label Consistent K-SVD for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yong Ma, Yuanshu Zhang, Xiaoguang Mei, Xiaobing Dai, Jiayi Ma
2019	J	`jnl`	Spectral-Spatial Attention Networks for Hyperspectral Image Classification. Remote. Sens. Xiaoguang Mei, Erting Pan, Yong Ma, Xiaobing Dai, Jun Huang, Fan Fan, Qinglei Du, Hong Zheng, Jiayi Ma
2019	C	`conf`	Spectral-Spatial Classification of Hyperspectral Image based on a Joint Attention Network. IGARSS Erting Pan, Yong Ma, Xiaoguang Mei, Xiaobing Dai, Fan Fan, Xin Tian, Jiayi Ma
2019	J	`jnl`	Visible/Infrared Combined 3D Reconstruction Scheme Based on Nonrigid Registration of Multi-Modality Images With Mixed Features. IEEE Access Yong Ma, Yuchen Wang, Xiaoguang Mei, Chengyin Liu, Xiaobing Dai, Fan Fan, Jun Huang