Feng Yin

According to our database, Feng Yin authored at least 113 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Attentional Graph Meta-Learning for Indoor Localization Using Extremely Sparse Fingerprints.

Wenzhong Yan, Feng Yin, Jun Gao, Ao Wang, Yang Tian, Ruizhi Chen

IEEE Trans. Mob. Comput., June, 2026

Topology-Aware Integrated Communication, Sensing, and Power Transfer for SAGIN.

Han Yu, Jiajun He, Xinping Yi, Feng Yin, Hing Cheung So, Giuseppe Caire

CoRR, February, 2026

PEMNet: Towards Autonomous and Enhanced Environment-Aware Mobile Networks.

Lei Li, Yanqing Xu, Ye Xue, Feng Yin, Chao Shen, Rui Zhang, Tsung-Hui Chang

CoRR, January, 2026

RSS Localization in Cell-Free Massive MIMO: Algorithms, Analysis, and Implementation.

Jiajun He, Hien Quoc Ngo, Chao Wang, Feng Yin, Hing Cheung So, Hyundong Shin, Michail Matthaiou

IEEE Trans. Wirel. Commun., 2026

Stochastic Analysis of Cramér-Rao Lower Bound for Positioning in mmWave-THz HetNets.

Jiajun He, Yiyong Sun, Feng Yin, Wenxin Xiong, Hing Cheung So, Hien Quoc Ngo, Hyundong Shin, Michail Matthaiou

IEEE Trans. Commun., 2026

Topology-Aware Integrated Communication, Sensing, and Power Transfer for Multi-User SAGIN.

Han Yu, Jiajun He, Xinping Yi, Feng Yin, Hing Cheung So, Giuseppe Caire

IEEE J. Sel. Areas Commun., 2026

2025

Hybrid Data-Driven SSM for Interpretable and Label-Free mmWave Channel Prediction.

Yiyong Sun, Jiajun He, Zhidi Lin, Wenqiang Pu, Feng Yin, Hing Cheung So

IEEE Trans. Mob. Comput., October, 2025

Design and Implementation of the Correntropy-Based Filter for GNSS Vector Tracking and Positioning.

Jian Liu, Qinglei Kong, Feng Yin, Zhanzhang Cai, Mengfei Sun, Bo Chen

IEEE Trans. Aerosp. Electron. Syst., October, 2025

Attentional Graph Neural Network is All You Need for Robust Massive Network Localization.

Wenzhong Yan, Feng Yin, Juntao Wang, Geert Leus, Abdelhak M. Zoubir, Yang Tian

IEEE J. Sel. Top. Signal Process., October, 2025

Sparsity-Aware Distributed Learning for Gaussian Processes With Linear Multiple Kernel.

Richard Cornelius Suwandi, Zhidi Lin, Feng Yin, Zhiguo Wang, Sergios Theodoridis

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Learning to Gridize: Segment Physical World by Wireless Communication Channel.

Juntao Wang, Feng Yin, Tian Ding, Tsung-Hui Chang, Zhi-Quan Luo, Qi Yan

CoRR, July, 2025

Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems.

Zhidi Lin, Ying Li, Feng Yin, Juan Maroñas, Alexandre H. Thiéry

IEEE Trans. Signal Process., 2025

When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning.

Siyuan Li, Shikai Fang, Lei Cheng, Feng Yin, Yik-Chung Wu, Peter Gerstoft, Sergios Theodoridis

IEEE Trans. Signal Process., 2025

An efficient GNSS spoofing detection scheme with correlator-based complex metric.

Jian Liu, Qinglei Kong, Feng Yin, Yu Chen, Bo Chen

Digit. Signal Process., 2025

A Model-Free Coarse-to-Fine Framework for Estimating Time-Varying Wireless Signals.

Yiyong Sun, Feng Yin, Pooi-Yuen Kam

Proceedings of the International Ubiquitous Positioning, 2025

Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs.

Richard Cornelius Suwandi, Feng Yin, Juntao Wang, Renjie Li, Tsung-Hui Chang, Sergios Theodoridis

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Maximum Likelihood Estimation for Bivariate Joint Distribution Recovery from Max-Aggregated Data.

Tianjian Zhang, Feng Yin, Yue Sun, Qi Yan

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Basis Function Learning for Variable-Length and Continuous-Indexed Signals.

Siyuan Li, Lei Cheng, Feng Yin, Jianlong Li, Peter Gerstoft

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Integrated Interpolation and Matrix Completion for Radio Map Estimation: A Convex Optimization Approach.

Hongcheng Dong, Wenqiang Pu, Rui Zhou, Xiao Fu, Feng Yin

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Achieving Privacy-Preserving Location Management in LEO-Satellite Integrated Vehicular Network With Dense Ground Stations.

Qinglei Kong, Xiaodong Qu, Feng Yin, Rongxing Lu, Songnian Zhang, Maode Ma

IEEE Trans. Veh. Technol., April, 2024

Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference.

Zhidi Lin, Yiyong Sun, Feng Yin, Alexandre Hoang Thiery

IEEE Trans. Signal Process., 2024

A Secure Satellite-Edge Computing Framework for Collaborative Line Outage Identification in Smart Grid.

Qinglei Kong, Xiaodong Qu, Songnian Zhang, Feng Yin, Rongxing Lu, Bo Chen

IEEE Trans. Serv. Comput., 2024

Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem.

Ceyao Zhang, Renjie Li, Cheng Zhang, Zhaoyu Zhang, Feng Yin

CoRR, 2024

Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects.

Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang, Xiangrui Meng, Sirui Hong, Wenhao Li, Zihao Wang, Zekai Wang, Feng Yin, Junhua Zhao, Xiuqiang He

CoRR, 2024

Preventing Model Collapse in Gaussian Process Latent Variable Models.

Ying Li, Zhidi Lin, Feng Yin, Michael Minyi Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graphical Multioutput Gaussian Process with Attention.

Yijue Dai, Wenzhong Yan, Feng Yin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Bayesian-Boosted MetaLoc: Efficient Training and Guaranteed Generalization for Indoor Localization.

Dongze Wu, Jun Gao, Feng Yin

Proceedings of the IEEE International Conference on Acoustics, 2024

Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models.

Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis

Proceedings of the IEEE International Conference on Acoustics, 2024

Joint DOA Estimation and Distorted Sensor Detection Under Entangled Low-Rank and Row-Sparse Constraints.

Huiping Huang, Tianjian Zhang, Feng Yin, Bin Liao, Henk Wymeersch

Proceedings of the IEEE International Conference on Acoustics, 2024

Regularization-Based Efficient Continual Learning in Deep State-Space Models.

Yuanhang Zhang, Zhidi Lin, Yiyong Sun, Feng Yin, Carsten Fritsche

Proceedings of the 27th International Conference on Information Fusion, 2024

LMMSE-Aided WLLS Location Estimators for Source Localization with RSS Measurements.

Donglin Zhang, Zhansheng Duan, Yiyong Sun, Feng Yin

Proceedings of the 27th International Conference on Information Fusion, 2024

ProAgent: Building Proactive Cooperative Agents with Large Language Models.

Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Compressible spectral mixture kernels with sparse dependency structures for Gaussian processes.

Kai Chen, Feng Yin, Shuguang Cui

Signal Process., December, 2023

MetaLoc: Learning to Learn Wireless Localization.

Jun Gao, Dongze Wu, Feng Yin, Qinglei Kong, Lexi Xu, Shuguang Cui

IEEE J. Sel. Areas Commun., December, 2023

Distributed Scaled Proximal ADMM Algorithms for Cooperative Localization in WSNs.

Mei Zhang, Zhiguo Wang, Feng Yin, Xiaojing Shen

IEEE Trans. Signal Process., 2023

Data-adaptive M-estimators for robust regression via bi-level optimization.

Ceyao Zhang, Tianjian Zhang, Feng Yin, Abdelhak M. Zoubir

Signal Process., 2023

A framework for millimeter-wave multi-user SLAM and its low-cost realization.

Jiajun He, Feng Yin, Hing Cheung So

Signal Process., 2023

Attentional Graph Neural Networks for Robust Massive Network Localization.

Wenzhong Yan, Juntao Wang, Feng Yin, Abdelhak M. Zoubir

CoRR, 2023

Gaussian Processes with Linear Multiple Kernel: Spectrum Design and Distributed Learning for Multi-Dimensional Data.

Richard Cornelius Suwandi, Zhidi Lin, Feng Yin

CoRR, 2023

ProAgent: Building Proactive Cooperative AI with Large Language Models.

Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang

CoRR, 2023

Towards Flexibility and Interpretability of Gaussian Process State-Space Model.

Zhidi Lin, Feng Yin

CoRR, 2023

Output-Dependent Gaussian Process State-Space Model.

Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Cui

Proceedings of the IEEE International Conference on Acoustics, 2023

Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training.

Ying Li, Lei Cheng, Feng Yin, Michael Minyi Zhang, Sergios Theodoridis

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling.

Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang

IEEE Signal Process. Mag., 2022

Achieving Efficient and Secure Handover in LEO Constellation-Assisted Beyond 5G Networks.

Qinglei Kong, Rongxing Lu, Feng Yin

IEEE Open J. Commun. Soc., 2022

Tikhonov regularization with MTRSVD method for solving large-scale discrete ill-posed problems.

Guang-Xin Huang, Yuanyuan Liu, Feng Yin

J. Comput. Appl. Math., 2022

Preconditioned TBiCOR and TCORS algorithms for solving the Sylvester tensor equation.

Guang-Xin Huang, Qixing Chen, Feng Yin

Appl. Math. Comput., 2022

A Secure and Privacy-Preserving Dynamic Aggregation Mechanism for V2G System.

Xiaodong Qu, Qinglei Kong, Feng Yin, Leixi Xu

Proceedings of the 19th Annual International Conference on Privacy, Security & Trust, 2022

Adaptive Gaussian Process Spectral Kernel Learning for 5G Wireless Traffic Prediction.

Xinyi Zhang, Chenxu Zhao, Yun Yang, Zhidi Lin, Juntao Wang, Feng Yin

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Fast Generic Interaction Detection for Model Interpretability and Compression.

Tianjian Zhang, Feng Yin, Zhi-Quan Luo

Proceedings of the Tenth International Conference on Learning Representations, 2022

MetaLoc: Learning to Learn Indoor RSS Fingerprinting Localization over Multiple Scenarios.

Jun Gao, Ceyao Zhang, Qinglei Kong, Feng Yin, Lexi Xu, Kai Niu

Proceedings of the IEEE International Conference on Communications, 2022

ICASSP-SPGC 2022: Root Cause Analysis for Wireless Network Fault Localization.

Tianjian Zhang, Qian Chen, Yi Jiang, Dandan Miao, Feng Yin, Tao Quan, Qingjiang Shi, Zhi-Quan Luo

Proceedings of the IEEE International Conference on Acoustics, 2022

Multitask Gaussian Process With Hierarchical Latent Interactions.

Kai Chen, Twan van Laarhoven, Elena Marchiori, Feng Yin, Shuguang Cui

Proceedings of the IEEE International Conference on Acoustics, 2022

Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data.

Richard Cornelius Suwandi, Zhidi Lin, Yiyong Sun, Zhiguo Wang, Lei Cheng, Feng Yin

Proceedings of the 25th International Conference on Information Fusion, 2022

2021

Blockchain-Based Privacy-Preserving Driver Monitoring for MaaS in the Vehicular IoT.

Qinglei Kong, Rongxing Lu, Feng Yin, Shuguang Cui

IEEE Trans. Veh. Technol., 2021

Exploiting Sparsity of Ranging Biases for NLOS Mitigation.

Di Jin, Feng Yin, Abdelhak M. Zoubir, Hing Cheung So

IEEE Trans. Signal Process., 2021

Privacy-Preserving Continuous Data Collection for Predictive Maintenance in Vehicular Fog-Cloud.

Qinglei Kong, Rongxing Lu, Feng Yin, Shuguang Cui

IEEE Trans. Intell. Transp. Syst., 2021

Privacy-Preserving Aggregation for Federated Learning-Based Navigation in Vehicular Fog.

Qinglei Kong, Feng Yin, Rongxing Lu, Beibei Li, Xiaohong Wang, Shuguang Cui, Ping Zhang

IEEE Trans. Ind. Informatics, 2021

Data-Driven Wireless Communication Using Gaussian Processes.

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

CoRR, 2021

Achieving Blockchain-based Privacy-Preserving Location Proofs under Federated Learning.

Qinglei Kong, Feng Yin, Yue Xiao, Beibei Li, Xuejia Yang, Shuguang Cui

Proceedings of the ICC 2021, 2021

Graph Neural Network for Large-Scale Network Localization.

Wenzhong Yan, Di Jin, Zhidi Lin, Feng Yin

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

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

Feng Yin, Lishuo Pan, Tianshi Chen, Sergios Theodoridis, Zhi-Quan Tom Luo, Abdelhak M. Zoubir

IEEE Trans. Signal Process., 2020

Bayesian Cooperative Localization Using Received Signal Strength With Unknown Path Loss Exponent: Message Passing Approaches.

Di Jin, Feng Yin, Carsten Fritsche, Fredrik Gustafsson, Abdelhak M. Zoubir

IEEE Trans. Signal Process., 2020

Ocean Surface Drifting Buoy System Based on UAV-Enabled Wireless Powered Relay Network.

Haole Chen, Feng Yin, Wei Huang, Mingliu Liu, Deshi Li

Sensors, 2020

Optimally Combining Classifiers for Semi-Supervised Learning.

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

CoRR, 2020

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

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

CoRR, 2020

Scalable Learning Paradigms for Data-Driven Wireless Communication.

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

IEEE Commun. Mag., 2020

An Interpretable and Sample Efficient Deep Kernel for Gaussian Process.

Yijue Dai, Tianjian Zhang, Zhidi Lin, Feng Yin, Sergios Theodoridis, Shuguang Cui

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Exact O(N²) Hyper-Parameter Optimization for Gaussian Process Regression.

Linning Xu, Yijue Dai, Jiawei Zhang, Ceyao Zhang, Feng Yin

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Exploiting Sparsity for Robust Sensor Network Localization in Mixed LOS/NLOS Environments.

Di Jin, Feng Yin, Michael Fauß, Michael Muma, Abdelhak M. Zoubir

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Learning While Tracking: A Practical System Based on Variational Gaussian Process State-Space Model and Smartphone Sensory Data.

Ang Xie, Feng Yin, Bo Ai, Sha Zhang, Shuguang Cui

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019

Cramér-Rao Bounds for Filtering Based on Gaussian Process State-Space Models.

Yuxin Zhao, Carsten Fritsche, Gustaf Hendeby, Feng Yin, Tianshi Chen, Fredrik Gunnarsson

IEEE Trans. Signal Process., 2019

A Novel Spatiotemporal Fuzzy Method for Modeling of Complex Distributed Parameter Processes.

Xinjiang Lu, Te-Te Hu, Feng Yin

IEEE Trans. Ind. Electron., 2019

Distributed Gaussian Processes Hyperparameter Optimization for Big Data Using Proximal ADMM.

Ang Xie, Feng Yin, Yue Xu, Bo Ai, Tianshi Chen, Shuguang Cui

IEEE Signal Process. Lett., 2019

On the choice of subspace for large-scale Tikhonov regularization problems in general form.

Guang-Xin Huang, Lothar Reichel, Feng Yin

Numer. Algorithms, 2019

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

Yue Xu, Feng Yin, Wenjun Xu, Jiaru Lin, Shuguang Cui

IEEE J. Sel. Areas Commun., 2019

Gaussian Processes for Analyzing Positioned Trajectories in Sports.

Yuxin Zhao, Feng Yin, Fredrik Gunnarsson, Fredrik Hultkrantz

CoRR, 2019

A General O(n²) Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM.

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

CoRR, 2019

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

Feng Yin, Lishuo Pan, Xinwei He, Tianshi Chen, Sergios Theodoridis, Zhi-Quan Tom Luo

CoRR, 2019

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

Panwen Hu, Zizheng Yan, Rui Huang, Feng Yin

CoRR, 2019

UAV Hovering Strategy Based on a Wirelessly Powered Communication Network.

Haole Chen, Deshi Li, Yuqin Wang, Feng Yin

IEEE Access, 2019

Recursive Implementation of Gaussian Process Regression for Spatial-Temporal Data Modeling.

Ye Kuang, Tianshi Chen, Feng Yin, Renxin Zhong

Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

How Effectively can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Cramer-Rao Bound Viewpoi.

Panwen Hu, Zizheng Yan, Rui Huang, Feng Yin

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Distributed Gaussian Process: New Paradigm and Application to Wireless Traffic Prediction.

Yue Xu, Feng Yin, Wenjun Xu, Jiaru Lin, Shuguang Cui

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Scalable Gaussian Process Using Inexact Admm for Big Data.

Yue Xu, Feng Yin, Jiawei Zhang, Wenjun Xu, Shuguang Cui, Zhi-Quan Luo

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Sequential Monte Carlo Methods and Theoretical Bounds for Proximity Report Based Indoor Positioning.

Yuxin Zhao, Carsten Fritsche, Feng Yin, Fredrik Gunnarsson, Fredrik Gustafsson

IEEE Trans. Veh. Technol., 2018

Multi-task neural networks for joint hippocampus segmentation and clinical score regression.

Liang Cao, Long Li, Jifeng Zheng, Xin Fan, Feng Yin, Hui Shen, Jun Zhang

Multim. Tools Appl., 2018

Fast Maximum Entropy Machine for Big Imbalanced Datasets.

Feng Yin, Shuqing Lin, Chuxin Piao, Shuguang Cui

J. Commun. Inf. Networks, 2018

Construction of Confidence Intervals for Distributed Parameter Processes Under Noise.

Xinjiang Lu, Xiangbo Cui, Yi Zhang, Feng Yin

IEEE Access, 2018

Online MEM Based Binary Classification Algorithm for China Mobile Imbalanced Dataset.

Shuqing Lin, Feng Yin, Zhidi Lin, Yanbin Lin, Shuguang Robert Cui, Teng Li, Fengli Yu, Wei Yu, Xuemin Hong, Jianghong Shi, Zhi-Quan Tom Luo

Proceedings of the IEEE/CIC International Conference on Communications in China, 2018

Sparse Structure Enabled Grid Spectral Mixture Kernel for Temporal Gaussian Process Regression.

Feng Yin, Xinwei He, Lishuo Pan, Tianshi Chen, Zhi-Quan Tom Luo, Sergios Theodoridis

Proceedings of the 21st International Conference on Information Fusion, 2018

2017

Received-Signal-Strength Threshold Optimization Using Gaussian Processes.

Feng Yin, Yuxin Zhao, Fredrik Gunnarsson, Fredrik Gustafsson

IEEE Trans. Signal Process., 2017

Online Spatiotemporal Extreme Learning Machine for Complex Time-Varying Distributed Parameter Systems.

Xinjiang Lu, Feng Yin, Chang Liu, Minghui Huang

IEEE Trans. Ind. Informatics, 2017

Distributed Recursive Gaussian Processes for RSS Map Applied to Target Tracking.

Feng Yin, Fredrik Gunnarsson

IEEE J. Sel. Top. Signal Process., 2017

High-Accuracy Wireless Traffic Prediction: A GP-Based Machine Learning Approach.

Yue Xu, Wenjun Xu, Feng Yin, Jiaru Lin, Shuguang Cui

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016

On the choice of solution subspace for nonstationary iterated Tikhonov regularization.

Guang-Xin Huang, Lothar Reichel, Feng Yin

Numer. Algorithms, 2016

Gaussian Process for Propagation Modeling and Proximity Reports Based Indoor Positioning.

Yuxin Zhao, Feng Yin, Fredrik Gunnarsson, Mehdi Amirijoo, Gustaf Hendeby

Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Fundamental Bounds on Position Estimation Using Proximity Reports.

Feng Yin, Yuxin Zhao, Fredrik Gunnarsson

Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Cooperative localization based on severely quantized RSS measurements in wireless sensor network.

Di Jin, Feng Yin, Carsten Fritsche, Abdelhak M. Zoubir, Fredrik Gustafsson

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Gaussian processes for flow modeling and prediction of positioned trajectories evaluated with sports data.

Yuxin Zhao, Feng Yin, Fredrik Gunnarsson, Fredrik Hultkrantz, Johan Fagerlind

Proceedings of the 19th International Conference on Information Fusion, 2016

2015

Cooperative Localization in WSNs Using Gaussian Mixture Modeling: Distributed ECM Algorithms.

Feng Yin, Carsten Fritsche, Di Jin, Fredrik Gustafsson, Abdelhak M. Zoubir

IEEE Trans. Signal Process., 2015

Particle filtering for positioning based on proximity reports.

Yuxin Zhao, Feng Yin, Fredrik Gunnarsson, Mehdi Amirijoo, Emre Özkan, Fredrik Gustafsson

Proceedings of the 18th International Conference on Information Fusion, 2015

Proximity report triggering threshold optimization for network-based indoor positioning.

Feng Yin, Yuxin Zhao, Fredrik Gunnarsson

Proceedings of the 18th International Conference on Information Fusion, 2015

Efficient cooperative localization algorithm in LOS/NLOS environments.

Di Jin, Feng Yin, Carsten Fritsche, Abdelhak M. Zoubir, Fredrik Gustafsson

Proceedings of the 23rd European Signal Processing Conference, 2015

Dithering in quantized RSS based localization.

Di Jin, Abdelhak M. Zoubir, Feng Yin, Carsten Fritsche, Fredrik Gustafsson

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014

EM- and JMAP-ML Based Joint Estimation Algorithms for Robust Wireless Geolocation in Mixed LOS/NLOS Environments.

Feng Yin, Carsten Fritsche, Fredrik Gustafsson, Abdelhak M. Zoubir

IEEE Trans. Signal Process., 2014

2013

TOA-Based Robust Wireless Geolocation and Cramér-Rao Lower Bound Analysis in Harsh LOS/NLOS Environments.

Feng Yin, Carsten Fritsche, Fredrik Gustafsson, Abdelhak M. Zoubir

IEEE Trans. Signal Process., 2013

Robust cooperative sensor network localization via the EM criterion in LOS/NLOS environments.

Feng Yin, Abdelhak M. Zoubir, Carsten Fritsche, Fredrik Gustafsson

Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Received signal strength-based joint parameter estimation algorithm for robust geolocation in LOS/NLOS environments.

Feng Yin, Carsten Fritsche, Fredrik Gustafsson, Abdelhak M. Zoubir

Proceedings of the IEEE International Conference on Acoustics, 2013

RSS-based sensor network localization in contaminated Gaussian measurement noise.

Feng Yin, Ang Li, Abdelhak M. Zoubir, Carsten Fritsche, Fredrik Gustafsson

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012

Parametric Waveform Design Using Discrete Prolate Spheroidal Sequences for Enhanced Detection of Extended Targets.

Feng Yin, Christian Debes, Abdelhak M. Zoubir

IEEE Trans. Signal Process., 2012

Robust positioning in NLOS environments using nonparametric adaptive kernel density estimation.

Feng Yin, Abdelhak M. Zoubir

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Parametric waveform design for improved target detection.

Feng Yin, Christian Debes, Abdelhak M. Zoubir

Proceedings of the 19th European Signal Processing Conference, 2011