Feng Yin - RankMe

124 papers A* 4A 1B 2C 10Misc 16Journal 77Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PEMNet: Towards Autonomous and Enhanced Environment-Aware Mobile Networks. CoRR Lei Li, Yanqing Xu, Ye Xue, Feng Yin, Chao Shen, Rui Zhang, Tsung-Hui Chang
2026	J	`jnl`	RSS Localization in Cell-Free Massive MIMO: Algorithms, Analysis, and Implementation. IEEE Trans. Wirel. Commun. Jiajun He, Hien Quoc Ngo, Chao Wang, Feng Yin, Hing Cheung So, Hyundong Shin, Michail Matthaiou
2026	J	`jnl`	Topology-Aware Integrated Communication, Sensing, and Power Transfer for SAGIN. CoRR Han Yu, Jiajun He, Xinping Yi, Feng Yin, Hing Cheung So, Giuseppe Caire
2025	—	`conf`	A Model-Free Coarse-to-Fine Framework for Estimating Time-Varying Wireless Signals. UPINLBS Yiyong Sun, Feng Yin, Pooi-Yuen Kam
2025	J	`jnl`	Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs. CoRR Richard Cornelius Suwandi, Feng Yin, Juntao Wang, Renjie Li, Tsung-Hui Chang, Sergios Theodoridis
2025	J	`jnl`	An efficient GNSS spoofing detection scheme with correlator-based complex metric. Digit. Signal Process. Jian Liu, Qinglei Kong, Feng Yin, Yu Chen, Bo Chen
2025	J	`jnl`	Attentional Graph Meta-Learning for Indoor Localization Using Extremely Sparse Fingerprints. CoRR Wenzhong Yan, Feng Yin, Jun Gao, Ao Wang, Yang Tian, Ruizhi Chen
2025	J	`jnl`	Attentional Graph Neural Network is All You Need for Robust Massive Network Localization. IEEE J. Sel. Top. Signal Process. Wenzhong Yan, Feng Yin, Juntao Wang, Geert Leus, Abdelhak M. Zoubir, Yang Tian
2025	Misc	`conf`	Basis Function Learning for Variable-Length and Continuous-Indexed Signals. ICASSP Siyuan Li, Lei Cheng, Feng Yin, Jianlong Li, Peter Gerstoft
2025	J	`jnl`	Design and Implementation of the Correntropy-Based Filter for GNSS Vector Tracking and Positioning. IEEE Trans. Aerosp. Electron. Syst. Jian Liu, Qinglei Kong, Feng Yin, Zhanzhang Cai, Mengfei Sun, Bo Chen
2025	J	`jnl`	Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems. CoRR Zhidi Lin, Ying Li, Feng Yin, Juan Maroñas, Alexandre H. Thiéry
2025	J	`jnl`	Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems. IEEE Trans. Signal Process. Zhidi Lin, Ying Li, Feng Yin, Juan Maroñas, Alexandre H. Thiéry
2025	J	`jnl`	Hybrid Data-Driven SSM for Interpretable and Label-Free mmWave Channel Prediction. IEEE Trans. Mob. Comput. Yiyong Sun, Jiajun He, Zhidi Lin, Wenqiang Pu, Feng Yin, Hing Cheung So
2025	Misc	`conf`	Integrated Interpolation and Matrix Completion for Radio Map Estimation: A Convex Optimization Approach. ICASSP Hongcheng Dong, Wenqiang Pu, Rui Zhou, Xiao Fu, Feng Yin
2025	J	`jnl`	Learning to Gridize: Segment Physical World by Wireless Communication Channel. CoRR Juntao Wang, Feng Yin, Tian Ding, Tsung-Hui Chang, Zhi-Quan Luo, Qi Yan
2025	Misc	`conf`	Maximum Likelihood Estimation for Bivariate Joint Distribution Recovery from Max-Aggregated Data. ICASSP Tianjian Zhang, Feng Yin, Yue Sun, Qi Yan
2025	J	`jnl`	Sparsity-Aware Distributed Learning for Gaussian Processes With Linear Multiple Kernel. IEEE Trans. Neural Networks Learn. Syst. Richard Cornelius Suwandi, Zhidi Lin, Feng Yin, Zhiguo Wang, Sergios Theodoridis
2025	J	`jnl`	When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning. CoRR Siyuan Li, Shikai Fang, Lei Cheng, Feng Yin, Yik-Chung Wu, Peter Gerstoft, Sergios Theodoridis
2025	J	`jnl`	When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning. IEEE Trans. Signal Process. Siyuan Li, Shikai Fang, Lei Cheng, Feng Yin, Yik-Chung Wu, Peter Gerstoft, Sergios Theodoridis
2024	J	`jnl`	A Secure Satellite-Edge Computing Framework for Collaborative Line Outage Identification in Smart Grid. IEEE Trans. Serv. Comput. Qinglei Kong, Xiaodong Qu, Songnian Zhang, Feng Yin, Rongxing Lu, Bo Chen
2024	J	`jnl`	Achieving Privacy-Preserving Location Management in LEO-Satellite Integrated Vehicular Network With Dense Ground Stations. IEEE Trans. Veh. Technol. Qinglei Kong, Xiaodong Qu, Feng Yin, Rongxing Lu, Songnian Zhang, Maode Ma
2024	Misc	`conf`	Bayesian-Boosted MetaLoc: Efficient Training and Guaranteed Generalization for Indoor Localization. ICASSP Dongze Wu, Jun Gao, Feng Yin
2024	J	`jnl`	Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference. IEEE Trans. Signal Process. Zhidi Lin, Yiyong Sun, Feng Yin, Alexandre Hoang Thiery
2024	J	`jnl`	Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects. CoRR Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang, Xiangrui Meng, Sirui Hong, Wenhao Li, Zihao Wang, Zekai Wang, Feng Yin, Junhua Zhao, Xiuqiang He
2024	A*	`conf`	Graphical Multioutput Gaussian Process with Attention. ICLR Yijue Dai, Wenzhong Yan, Feng Yin
2024	J	`jnl`	Hybrid Data-Driven SSM for Interpretable and Label-Free mmWave Channel Prediction. CoRR Yiyong Sun, Jiajun He, Zhidi Lin, Wenqiang Pu, Feng Yin, Hing Cheung So
2024	J	`jnl`	Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem. CoRR Ceyao Zhang, Renjie Li, Cheng Zhang, Zhaoyu Zhang, Feng Yin
2024	Misc	`conf`	Joint DOA Estimation and Distorted Sensor Detection Under Entangled Low-Rank and Row-Sparse Constraints. ICASSP Huiping Huang, Tianjian Zhang, Feng Yin, Bin Liao, Henk Wymeersch
2024	C	`conf`	LMMSE-Aided WLLS Location Estimators for Source Localization with RSS Measurements. FUSION Donglin Zhang, Zhansheng Duan, Yiyong Sun, Feng Yin
2024	A*	`conf`	Preventing Model Collapse in Gaussian Process Latent Variable Models. ICML Ying Li, Zhidi Lin, Feng Yin, Michael Minyi Zhang
2024	J	`jnl`	Preventing Model Collapse in Gaussian Process Latent Variable Models. CoRR Ying Li, Zhidi Lin, Feng Yin, Michael Minyi Zhang
2024	A*	`conf`	ProAgent: Building Proactive Cooperative Agents with Large Language Models. AAAI 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
2024	C	`conf`	Regularization-Based Efficient Continual Learning in Deep State-Space Models. FUSION Yuanhang Zhang, Zhidi Lin, Yiyong Sun, Feng Yin, Carsten Fritsche
2024	J	`jnl`	Regularization-Based Efficient Continual Learning in Deep State-Space Models. CoRR Yuanhang Zhang, Zhidi Lin, Yiyong Sun, Feng Yin, Carsten Fritsche
2024	Misc	`conf`	Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models. ICASSP Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis
2023	J	`jnl`	A framework for millimeter-wave multi-user SLAM and its low-cost realization. Signal Process. Jiajun He, Feng Yin, Hing Cheung So
2023	J	`jnl`	Attentional Graph Neural Networks for Robust Massive Network Localization. CoRR Wenzhong Yan, Juntao Wang, Feng Yin, Abdelhak M. Zoubir
2023	J	`jnl`	Compressible spectral mixture kernels with sparse dependency structures for Gaussian processes. Signal Process. Kai Chen, Feng Yin, Shuguang Cui
2023	J	`jnl`	Data-adaptive M-estimators for robust regression via bi-level optimization. Signal Process. Ceyao Zhang, Tianjian Zhang, Feng Yin, Abdelhak M. Zoubir
2023	J	`jnl`	Distributed Scaled Proximal ADMM Algorithms for Cooperative Localization in WSNs. IEEE Trans. Signal Process. Mei Zhang, Zhiguo Wang, Feng Yin, Xiaojing Shen
2023	J	`jnl`	Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference. CoRR Zhidi Lin, Yiyong Sun, Feng Yin, Alexandre Hoang Thiery
2023	J	`jnl`	Gaussian Processes with Linear Multiple Kernel: Spectrum Design and Distributed Learning for Multi-Dimensional Data. CoRR Richard Cornelius Suwandi, Zhidi Lin, Feng Yin
2023	J	`jnl`	MetaLoc: Learning to Learn Wireless Localization. IEEE J. Sel. Areas Commun. Jun Gao, Dongze Wu, Feng Yin, Qinglei Kong, Lexi Xu, Shuguang Cui
2023	Misc	`conf`	Output-Dependent Gaussian Process State-Space Model. ICASSP Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Cui
2023	Misc	`conf`	Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training. ICASSP Ying Li, Lei Cheng, Feng Yin, Michael Minyi Zhang, Sergios Theodoridis
2023	J	`jnl`	ProAgent: Building Proactive Cooperative AI with Large Language Models. CoRR 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
2023	J	`jnl`	Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models. CoRR Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis
2023	J	`jnl`	Towards Flexibility and Interpretability of Gaussian Process State-Space Model. CoRR Zhidi Lin, Feng Yin
2022	C	`conf`	A Secure and Privacy-Preserving Dynamic Aggregation Mechanism for V2G System. PST Xiaodong Qu, Qinglei Kong, Feng Yin, Leixi Xu
2022	J	`jnl`	Achieving Efficient and Secure Handover in LEO Constellation-Assisted Beyond 5G Networks. IEEE Open J. Commun. Soc. Qinglei Kong, Rongxing Lu, Feng Yin
2022	—	`conf`	Adaptive Gaussian Process Spectral Kernel Learning for 5G Wireless Traffic Prediction. MLSP Xinyi Zhang, Chenxu Zhao, Yun Yang, Zhidi Lin, Juntao Wang, Feng Yin
2022	A*	`conf`	Fast Generic Interaction Detection for Model Interpretability and Compression. ICLR Tianjian Zhang, Feng Yin, Zhi-Quan Luo
2022	C	`conf`	Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data. FUSION Richard Cornelius Suwandi, Zhidi Lin, Yiyong Sun, Zhiguo Wang, Lei Cheng, Feng Yin
2022	Misc	`conf`	ICASSP-SPGC 2022: Root Cause Analysis for Wireless Network Fault Localization. ICASSP Tianjian Zhang, Qian Chen, Yi Jiang, Dandan Miao, Feng Yin, Tao Quan, Qingjiang Shi, Zhi-Quan Luo
2022	—	`conf`	MetaLoc: Learning to Learn Indoor RSS Fingerprinting Localization over Multiple Scenarios. ICC Jun Gao, Ceyao Zhang, Qinglei Kong, Feng Yin, Lexi Xu, Kai Niu
2022	J	`jnl`	MetaLoc: Learning to Learn Wireless Localization. CoRR Jun Gao, Dongze Wu, Feng Yin, Qinglei Kong, Lexi Xu, Shuguang Cui
2022	Misc	`conf`	Multitask Gaussian Process With Hierarchical Latent Interactions. ICASSP Kai Chen, Twan van Laarhoven, Elena Marchiori, Feng Yin, Shuguang Cui
2022	J	`jnl`	Output-Dependent Gaussian Process State-Space Model. CoRR Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Cui
2022	J	`jnl`	Preconditioned TBiCOR and TCORS algorithms for solving the Sylvester tensor equation. Appl. Math. Comput. Guang-Xin Huang, Qixing Chen, Feng Yin
2022	J	`jnl`	Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling. CoRR Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang
2022	J	`jnl`	Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling. IEEE Signal Process. Mag. Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang
2022	J	`jnl`	Tikhonov regularization with MTRSVD method for solving large-scale discrete ill-posed problems. J. Comput. Appl. Math. Guang-Xin Huang, Yuanyuan Liu, Feng Yin
2021	—	`conf`	Achieving Blockchain-based Privacy-Preserving Location Proofs under Federated Learning. ICC Qinglei Kong, Feng Yin, Yue Xiao, Beibei Li, Xuejia Yang, Shuguang Cui
2021	J	`jnl`	Blockchain-Based Privacy-Preserving Driver Monitoring for MaaS in the Vehicular IoT. IEEE Trans. Veh. Technol. Qinglei Kong, Rongxing Lu, Feng Yin, Shuguang Cui
2021	J	`jnl`	Data-Driven Wireless Communication Using Gaussian Processes. CoRR Kai Chen, Qinglei Kong, Yijue Dai, Yue Xu, Feng Yin, Lexi Xu, Shuguang Cui
2021	J	`jnl`	Exploiting Sparsity of Ranging Biases for NLOS Mitigation. IEEE Trans. Signal Process. Di Jin, Feng Yin, Abdelhak M. Zoubir, Hing Cheung So
2021	Misc	`conf`	Graph Neural Network for Large-Scale Network Localization. ICASSP Wenzhong Yan, Di Jin, Zhidi Lin, Feng Yin
2021	J	`jnl`	Privacy-Preserving Aggregation for Federated Learning-Based Navigation in Vehicular Fog. IEEE Trans. Ind. Informatics Qinglei Kong, Feng Yin, Rongxing Lu, Beibei Li, Xiaohong Wang, Shuguang Cui, Ping Zhang
2021	J	`jnl`	Privacy-Preserving Continuous Data Collection for Predictive Maintenance in Vehicular Fog-Cloud. IEEE Trans. Intell. Transp. Syst. Qinglei Kong, Rongxing Lu, Feng Yin, Shuguang Cui
2020	A	`conf`	An Interpretable and Sample Efficient Deep Kernel for Gaussian Process. UAI Yijue Dai, Tianjian Zhang, Zhidi Lin, Feng Yin, Sergios Theodoridis, Shuguang Cui
2020	J	`jnl`	Bayesian Cooperative Localization Using Received Signal Strength With Unknown Path Loss Exponent: Message Passing Approaches. IEEE Trans. Signal Process. Di Jin, Feng Yin, Carsten Fritsche, Fredrik Gustafsson, Abdelhak M. Zoubir
2020	—	`conf`	Exact O(N MLSP Linning Xu, Yijue Dai, Jiawei Zhang, Ceyao Zhang, Feng Yin
2020	Misc	`conf`	Exploiting Sparsity for Robust Sensor Network Localization in Mixed LOS/NLOS Environments. ICASSP Di Jin, Feng Yin, Michael Fauß, Michael Muma, Abdelhak M. Zoubir
2020	J	`jnl`	FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing. CoRR Feng Yin, Zhidi Lin, Yue Xu, Qinglei Kong, Deshi Li, Sergios Theodoridis, Shuguang Cui
2020	J	`jnl`	Graph Neural Network for Large-Scale Network Localization. CoRR Wenzhong Yan, Di Jin, Zhidi Lin, Feng Yin
2020	C	`conf`	Learning While Tracking: A Practical System Based on Variational Gaussian Process State-Space Model and Smartphone Sensory Data. FUSION Ang Xie, Feng Yin, Bo Ai, Sha Zhang, Shuguang Cui
2020	J	`jnl`	Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series. IEEE Trans. Signal Process. Feng Yin, Lishuo Pan, Tianshi Chen, Sergios Theodoridis, Zhi-Quan Tom Luo, Abdelhak M. Zoubir
2020	J	`jnl`	Ocean Surface Drifting Buoy System Based on UAV-Enabled Wireless Powered Relay Network. Sensors Haole Chen, Feng Yin, Wei Huang, Mingliu Liu, Deshi Li
2020	J	`jnl`	Optimally Combining Classifiers for Semi-Supervised Learning. CoRR Zhiguo Wang, Liusha Yang, Feng Yin, Ke Lin, Qingjiang Shi, Zhi-Quan Luo
2020	J	`jnl`	Scalable Learning Paradigms for Data-Driven Wireless Communication. IEEE Commun. Mag. Yue Xu, Feng Yin, Wenjun Xu, Chia-Han Lee, Jiaru Lin, Shuguang Cui
2020	J	`jnl`	Scalable Learning Paradigms for Data-Driven Wireless Communication. CoRR Yue Xu, Feng Yin, Wenjun Xu, Chia-Han Lee, Jiaru Lin, Shuguang Cui
2019	J	`jnl`	A General O(n CoRR Linning Xu, Feng Yin, Jiawei Zhang, Zhi-Quan Luo, Shuguang Cui
2019	J	`jnl`	A Novel Spatiotemporal Fuzzy Method for Modeling of Complex Distributed Parameter Processes. IEEE Trans. Ind. Electron. Xinjiang Lu, Te-Te Hu, Feng Yin
2019	J	`jnl`	Cramér-Rao Bounds for Filtering Based on Gaussian Process State-Space Models. IEEE Trans. Signal Process. Yuxin Zhao, Carsten Fritsche, Gustaf Hendeby, Feng Yin, Tianshi Chen, Fredrik Gunnarsson
2019	—	`conf`	Distributed Gaussian Process: New Paradigm and Application to Wireless Traffic Prediction. ICC Yue Xu, Feng Yin, Wenjun Xu, Jiaru Lin, Shuguang Cui
2019	J	`jnl`	Distributed Gaussian Processes Hyperparameter Optimization for Big Data Using Proximal ADMM. IEEE Signal Process. Lett. Ang Xie, Feng Yin, Yue Xu, Bo Ai, Tianshi Chen, Shuguang Cui
2019	J	`jnl`	Gaussian Processes for Analyzing Positioned Trajectories in Sports. CoRR Yuxin Zhao, Feng Yin, Fredrik Gunnarsson, Fredrik Hultkrantz
2019	J	`jnl`	How Effectively Can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Camera-Rao Bound Viewpoint. CoRR Panwen Hu, Zizheng Yan, Rui Huang, Feng Yin
2019	B	`conf`	How Effectively can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Cramer-Rao Bound Viewpoi. ICIP Panwen Hu, Zizheng Yan, Rui Huang, Feng Yin
2019	J	`jnl`	Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series. CoRR Feng Yin, Lishuo Pan, Xinwei He, Tianshi Chen, Sergios Theodoridis, Zhi-Quan Tom Luo
2019	J	`jnl`	On the choice of subspace for large-scale Tikhonov regularization problems in general form. Numer. Algorithms Guang-Xin Huang, Lothar Reichel, Feng Yin
2019	—	`conf`	Recursive Implementation of Gaussian Process Regression for Spatial-Temporal Data Modeling. WCSP Ye Kuang, Tianshi Chen, Feng Yin, Renxin Zhong
2019	Misc	`conf`	Scalable Gaussian Process Using Inexact Admm for Big Data. ICASSP Yue Xu, Feng Yin, Jiawei Zhang, Wenjun Xu, Shuguang Cui, Zhi-Quan Luo
2019	J	`jnl`	UAV Hovering Strategy Based on a Wirelessly Powered Communication Network. IEEE Access Haole Chen, Deshi Li, Yuqin Wang, Feng Yin
2019	J	`jnl`	Wireless Traffic Prediction With Scalable Gaussian Process: Framework, Algorithms, and Verification. IEEE J. Sel. Areas Commun. Yue Xu, Feng Yin, Wenjun Xu, Jiaru Lin, Shuguang Cui
2019	J	`jnl`	Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification. CoRR Yue Xu, Feng Yin, Wenjun Xu, Jiaru Lin, Shuguang Cui
2018	J	`jnl`	Construction of Confidence Intervals for Distributed Parameter Processes Under Noise. IEEE Access Xinjiang Lu, Xiangbo Cui, Yi Zhang, Feng Yin
2018	J	`jnl`	Fast Maximum Entropy Machine for Big Imbalanced Datasets. J. Commun. Inf. Networks Feng Yin, Shuqing Lin, Chuxin Piao, Shuguang Cui
2018	J	`jnl`	Multi-task neural networks for joint hippocampus segmentation and clinical score regression. Multim. Tools Appl. Liang Cao, Long Li, Jifeng Zheng, Xin Fan, Feng Yin, Hui Shen, Jun Zhang
2018	C	`conf`	Online MEM Based Binary Classification Algorithm for China Mobile Imbalanced Dataset. ICCC 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
2018	J	`jnl`	Sequential Monte Carlo Methods and Theoretical Bounds for Proximity Report Based Indoor Positioning. IEEE Trans. Veh. Technol. Yuxin Zhao, Carsten Fritsche, Feng Yin, Fredrik Gunnarsson, Fredrik Gustafsson
2018	C	`conf`	Sparse Structure Enabled Grid Spectral Mixture Kernel for Temporal Gaussian Process Regression. FUSION Feng Yin, Xinwei He, Lishuo Pan, Tianshi Chen, Zhi-Quan Tom Luo, Sergios Theodoridis
2017	J	`jnl`	Distributed Recursive Gaussian Processes for RSS Map Applied to Target Tracking. IEEE J. Sel. Top. Signal Process. Feng Yin, Fredrik Gunnarsson
2017	B	`conf`	High-Accuracy Wireless Traffic Prediction: A GP-Based Machine Learning Approach. GLOBECOM Yue Xu, Wenjun Xu, Feng Yin, Jiaru Lin, Shuguang Cui
2017	J	`jnl`	Online Spatiotemporal Extreme Learning Machine for Complex Time-Varying Distributed Parameter Systems. IEEE Trans. Ind. Informatics Xinjiang Lu, Feng Yin, Chang Liu, Minghui Huang
2017	J	`jnl`	Received-Signal-Strength Threshold Optimization Using Gaussian Processes. IEEE Trans. Signal Process. Feng Yin, Yuxin Zhao, Fredrik Gunnarsson, Fredrik Gustafsson
2016	Misc	`conf`	Cooperative localization based on severely quantized RSS measurements in wireless sensor network. ICASSP Di Jin, Feng Yin, Carsten Fritsche, Abdelhak M. Zoubir, Fredrik Gustafsson
2016	—	`conf`	Fundamental Bounds on Position Estimation Using Proximity Reports. VTC Spring Feng Yin, Yuxin Zhao, Fredrik Gunnarsson
2016	—	`conf`	Gaussian Process for Propagation Modeling and Proximity Reports Based Indoor Positioning. VTC Spring Yuxin Zhao, Feng Yin, Fredrik Gunnarsson, Mehdi Amirijoo, Gustaf Hendeby
2016	C	`conf`	Gaussian processes for flow modeling and prediction of positioned trajectories evaluated with sports data. FUSION Yuxin Zhao, Feng Yin, Fredrik Gunnarsson, Fredrik Hultkrantz, Johan Fagerlind
2016	J	`jnl`	On the choice of solution subspace for nonstationary iterated Tikhonov regularization. Numer. Algorithms Guang-Xin Huang, Lothar Reichel, Feng Yin
2015	J	`jnl`	Cooperative Localization in WSNs Using Gaussian Mixture Modeling: Distributed ECM Algorithms. IEEE Trans. Signal Process. Feng Yin, Carsten Fritsche, Di Jin, Fredrik Gustafsson, Abdelhak M. Zoubir
2015	—	`conf`	Dithering in quantized RSS based localization. CAMSAP Di Jin, Abdelhak M. Zoubir, Feng Yin, Carsten Fritsche, Fredrik Gustafsson
2015	—	`conf`	Efficient cooperative localization algorithm in LOS/NLOS environments. EUSIPCO Di Jin, Feng Yin, Carsten Fritsche, Abdelhak M. Zoubir, Fredrik Gustafsson
2015	C	`conf`	Particle filtering for positioning based on proximity reports. FUSION Yuxin Zhao, Feng Yin, Fredrik Gunnarsson, Mehdi Amirijoo, Emre Özkan, Fredrik Gustafsson
2015	C	`conf`	Proximity report triggering threshold optimization for network-based indoor positioning. FUSION Feng Yin, Yuxin Zhao, Fredrik Gunnarsson
2014	J	`jnl`	EM- and JMAP-ML Based Joint Estimation Algorithms for Robust Wireless Geolocation in Mixed LOS/NLOS Environments. IEEE Trans. Signal Process. Feng Yin, Carsten Fritsche, Fredrik Gustafsson, Abdelhak M. Zoubir
2013	—	`conf`	RSS-based sensor network localization in contaminated Gaussian measurement noise. CAMSAP Feng Yin, Ang Li, Abdelhak M. Zoubir, Carsten Fritsche, Fredrik Gustafsson
2013	Misc	`conf`	Received signal strength-based joint parameter estimation algorithm for robust geolocation in LOS/NLOS environments. ICASSP Feng Yin, Carsten Fritsche, Fredrik Gustafsson, Abdelhak M. Zoubir
2013	—	`conf`	Robust cooperative sensor network localization via the EM criterion in LOS/NLOS environments. SPAWC Feng Yin, Abdelhak M. Zoubir, Carsten Fritsche, Fredrik Gustafsson
2013	J	`jnl`	TOA-Based Robust Wireless Geolocation and Cramér-Rao Lower Bound Analysis in Harsh LOS/NLOS Environments. IEEE Trans. Signal Process. Feng Yin, Carsten Fritsche, Fredrik Gustafsson, Abdelhak M. Zoubir
2012	J	`jnl`	Parametric Waveform Design Using Discrete Prolate Spheroidal Sequences for Enhanced Detection of Extended Targets. IEEE Trans. Signal Process. Feng Yin, Christian Debes, Abdelhak M. Zoubir
2012	Misc	`conf`	Robust positioning in NLOS environments using nonparametric adaptive kernel density estimation. ICASSP Feng Yin, Abdelhak M. Zoubir
2011	—	`conf`	Parametric waveform design for improved target detection. EUSIPCO Feng Yin, Christian Debes, Abdelhak M. Zoubir