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Data-Driven Wireless Communication Using Gaussian Processes


Mar 18, 2021
Kai Chen, Qinglei Kong, Yijue Dai, Yue Xu, Feng Yin, Lexi Xu, Shuguang Cui


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Graph Neural Network for Large-Scale Network Localization


Oct 22, 2020
Wenzhong Yan, Di Jin, Zhidi Lin, Feng Yin

* Submitted in ICASSP 2021, Code available at https://github.com/Yanzongzi/GNN-For-localization 

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Optimally Combining Classifiers for Semi-Supervised Learning


Jun 07, 2020
Zhiguo Wang, Liusha Yang, Feng Yin, Ke Lin, Qingjiang Shi, Zhi-Quan Luo


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FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing


Mar 08, 2020
Feng Yin, Zhidi Lin, Yue Xu, Qinglei Kong, Deshi Li, Sergios Theodoridis, Shuguang, Cui


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Scalable Learning Paradigms for Data-Driven Wireless Communication


Mar 01, 2020
Yue Xu, Feng Yin, Wenjun Xu, Chia-Han Lee, Jiaru Lin, Shuguang Cui


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Gaussian Processes for Analyzing Positioned Trajectories in Sports


Jul 05, 2019
Yuxin Zhao, Feng Yin, Fredrik Gunnarsson, Fredrik Hultkrantz

* 31pages, 28 figures 

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A General $\mathcal{O}(n^2)$ Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM


Jun 07, 2019
Linning Xu, Feng Yin, Jiawei Zhang, Zhi-Quan Luo, Shuguang Cui


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Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series


Apr 21, 2019
Feng Yin, Lishuo Pan, Xinwei He, Tianshi Chen, Sergios Theodoridis, Zhi-Quan, Luo

* 15 pages, 5 figures, submitted 

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How Effectively Can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Camera-Rao Bound Viewpoint


Mar 09, 2019
Panwen Hu, Zizheng Yan, Rui Huang, Feng Yin


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Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification


Feb 13, 2019
Yue Xu, Feng Yin, Wenjun Xu, Jiaru Lin, Shuguang Cui


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