Publications

2025

1. 

   Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel
   Suwandi, Richard Cornelius and Lin, Zhidi and Yin, Feng and Wang, Zhiguo and Theodoridis, Sergios
   IEEE Transactions on Neural Networks and Learning Systems, 2025

2023

1. 

   Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training
   Li, Ying and Cheng, Lei and Yin, Feng and Zhang, Michael Minyi and Theodoridis, Sergios
   IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

2. 

   Output-Dependent Gaussian Process State-Space Model
   Lin, Zhidi and Cheng, Lei and Yin, Feng and Xu, Lexi and Cui, Shuguang
   IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

3. 

   A Framework for Millimeter-Wave Multi-User SLAM and Its Low-Cost Realization
   He, Jiajun and Yin, Feng and So, Hing Cheung
   Signal Processing, 2023

4. 

   Data-Adaptive M-Estimators for Robust Regression via Bi-Level Optimization
   Zhang, Ceyao and Zhang, Tianjian and Yin, Feng and Zoubir, Abdelhak M.
   Signal Processing, 2023

5. 

   Deep Reinforcement Learning Empowers Automated Inverse Design and Optimization of Photonic Crystals for Nanoscale Laser Cavities
   Li, Renjie and Zhang, Ceyao and Xie, Wentao and Gong, Yuanhao and Ding, Feilong and Dai, Hui and Chen, Zihan and Yin, Feng and Zhang, Zhaoyu
   Nanophotonics, 2023

2022

1. 

   Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling
   Cheng, Lei and Yin, Feng and Theodoridis, Sergios and Chatzis, Sotirios and Chang, Tsung-Hui
   IEEE Signal Processing Magazine, 2022

2. 

   Gaussian process regression with grid spectral mixture kernel: Distributed learning for multidimensional data
   Suwandi, Richard Cornelius and Lin, Zhidi and Sun, Yiyong and Wang, Zhiguo and Cheng, Lei and Yin, Feng
   25th International Conference on Information Fusion (FUSION), 2022

3. 

   Adaptive Gaussian Process Spectral Kernel Learning for 5G Wireless Traffic Prediction
   Zhang, Xinyi and Zhao, Chenxu and Yang, Yun and Lin, Zhidi and Wang, Juntao and Yin, Feng
   IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP), 2022

4. 

   A Secure and Privacy-Preserving Dynamic Aggregation Mechanism for V2G System
   Qu, Xiaodong and Kong, Qinglei and Yin, Feng and Xu, Lexi
   IEEE 19th Annual International Conference on Privacy, Security & Trust (PST), 2022

5. 

   Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data
   Suwandi, Richard Cornelius and Lin, Zhidi and Sun, Yiyong and Wang, Zhiguo and Cheng, Lei and Yin, Feng
   IEEE 25th International Conference on Information Fusion (FUSION), 2022

6. 

   Root Cause Analysis for Wireless Network Fault Localization
   Zhang, Tianjian and Chen, Qian and Jiang, Yi and Miao, Dandan and Yin, Feng and Quan, Tao and Shi, Qingjiang and Luo, Zhi-Quan
   IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022

7. 

   Multitask Gaussian Process With Hierarchical Latent Interactions
   Chen, Kai and van Laarhoven, Twan and Marchiori, Elena and Yin, Feng and Cui, Shuguang
   IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022

8. 

   MetaLoc: Learning to Learn Indoor RSS Fingerprinting Localization over Multiple Scenarios
   Gao, Jun and Zhang, Ceyao and Kong, Qinglei and Yin, Feng and Xu, Lexi and Niu, Kai
   IEEE International Conference on Communications (ICC), 2022

9. 

   Fast Generic Interaction Detection for Model Interpretability and Compression
   Zhang, Tianjian and Yin, Feng and Luo, Zhi-Quan
   International Conference on Learning Representations (ICLR), 2022

10. 

    Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey
    Chen, Kai and Kong, Qinglei and Dai, Yijue and Xu, Yue and Yin, Feng and Xu, Lexi and Cui, Shuguang
    China Communications, 2022

2021

1. 

   Achieving Efficient and Secure Handover in LEO Constellation-Assisted Beyond 5G Networks
   Kong, Qinglei and Lu, Rongxing and Yin, Feng
   IEEE Open Journal of the Communications Society, 2021

2. 

   Vehicle Location Algorithm Based on Federated Learning and Smart Phone in GNSS Low Sampling Rate Scene
   Guo, Wenbiao and Li, Hang and Yin, Feng and Ai, Bo
   Journal of Physics: Conference Series, 2021

3. 

   Exploiting Sparsity of Ranging Biases for NLOS Mitigation
   Jin, Di and Yin, Feng and Zoubir, Abdelhak M. and So, Hing Cheung
   IEEE Transactions on Signal Processing, 2021

4. 

   Achieving Blockchain-based Privacy-Preserving Location Proofs under Federated Learning
   Kong, Qinglei and Yin, Feng and Xiao, Yue and Li, Beibei and Yang, Xuejia and Cui, Shuguang
   IEEE International Conference on Communications (ICC), 2021

5. 

   Graph Neural Network for Large-Scale Network Localization
   Yan, Wenzhong and Jin, Di and Lin, Zhidi and Yin, Feng
   IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021

6. 

   Collaborating Ray Tracing and AI Model for AUV-Assisted 3-D Underwater Sound-Speed Inversion
   Huang, Wei and Liu, Mingliu and Li, Deshi and Yin, Feng and Chen, Haole and Zhou, Jixuan and Xu, Huihui
   IEEE Journal of Oceanic Engineering, 2021

7. 

   Privacy-Preserving Aggregation for Federated Learning-Based Navigation in Vehicular Fog
   Kong, Qinglei and Yin, Feng and Lu, Rongxing and Li, Beibei and Wang, Xiaohong and Cui, Shuguang and Zhang, Ping
   IEEE Transactions on Industrial Informatics, 2021

8. 

   Blockchain-Based Privacy-Preserving Driver Monitoring for MaaS in the Vehicular IoT
   Kong, Qinglei and Lu, Rongxing and Yin, Feng and Cui, Shuguang
   IEEE Transactions on Vehicular Technology, 2021

2020

1. 

   Scalable Learning Paradigms for Data-Driven Wireless Communication
   Xu, Yue and Yin, Feng and Xu, Wenjun and Lee, Chia-Han and Lin, Jiaru and Cui, Shuguang
   IEEE Communications Magazine, 2020

2. 

   FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing
   Yin, Feng and Lin, Zhidi and Kong, Qinglei and Xu, Yue and Li, Deshi and Theodoridis, Sergios and Cui, Shuguang Robert
   IEEE Open Journal of Signal Processing, 2020

3. 

   Exact O(N^2) Hyper-Parameter Optimization for Gaussian Process Regression
   Xu, Linning and Dai, Yijue and Zhang, Jiawei and Zhang, Ceyao and Yin, Feng
   IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), 2020

4. 

   An Interpretable and Sample Efficient Deep Kernel for Gaussian Process
   Dai, Yijue and Zhang, Tianjian and Lin, Zhidi and Yin, Feng and Theodoridis, Sergios and Cui, Shuguang
   Proceedings of Machine Learning Research (PMLR), 2020

5. 

   Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series
   Yin, Feng and Pan, Lishuo and Chen, Tianshi and Theodoridis, Sergios and Luo, Zhi-Quan Tom and Zoubir, Abdelhak M.
   IEEE Transactions on Signal Processing, 2020

6. 

   Privacy-Preserving Continuous Data Collection for Predictive Maintenance in Vehicular Fog-Cloud
   Kong, Qinglei and Lu, Rongxing and Yin, Feng and Cui, Shuguang
   IEEE Transactions on Intelligent Transportation Systems, 2020

7. 

   Efficient Recursive Implementation of Spatial-Temporal Gaussian Process Regression
   Zhang, Junpeng and Kuang, Ye and Chen, Tianshi and Lu, Xiaochen and Yin, Feng and Zhong, Renxin
   2020 39th Chinese Control Conference (CCC), 2020

8. 

   Learning While Tracking: A Practical System Based on Variational Gaussian Process State-Space Model and Smartphone Sensory Data
   Xie, Ang and Yin, Feng and Ai, Bo and Zhang, Sha and Cui, Shuguang
   IEEE 23rd International Conference on Information Fusion (FUSION), 2020

9. 

   Exploiting Sparsity for Robust Sensor Network Localization in Mixed LOS/NLOS Environments
   Jin, Di and Yin, Feng and Fauß, Michael and Muma, Michael and Zoubir, Abdelhak M.
   IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020

10. 

    Bayesian Cooperative Localization Using Received Signal Strength with Unknown Path Loss Exponent: Message Passing Approaches
    Jin, Di and Yin, Feng and Fritsche, Carsten and Gustafsson, Fredrik and Zoubir, Abdelhak M.
    IEEE Transactions on Signal Processing, 2020

11. 

    Ocean Surface Drifting Buoy System Based on UAV-enabled Wireless Powered Relay Network
    Chen, Haole and Yin, Feng and Huang, Wei and Liu, Mingliu and Li, Deshi
    Sensors, 2020

2019

1. 

   Cramér–Rao Bounds for Filtering Based on Gaussian Process State-Space Models
   Zhao, Yuxin and Fritsche, Carsten and Hendeby, Gustaf and Yin, Feng and Chen, Tianshi and Gunnarsson, Fredrik
   IEEE Transactions on Signal Processing, 2019

2. 

   Recursive Implementation of Gaussian Process Regression for Spatial-Temporal Data Modeling
   Kuang, Ye and Chen, Tianshi and Yin, Feng and Zhong, Renxin
   2019 11th International Conference on Wireless Communications and Signal Processing (WCSP), 2019

3. 

   How Effectively Can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Cramer-Rao Bound Viewpoint
   Hu, Panwen and Yan, Zizheng and Huang, Rui and Yin, Feng
   2019 IEEE International Conference on Image Processing (ICIP), 2019

4. 

   Distributed Gaussian Processes Hyperparameter Optimization for Big Data Using Proximal ADMM
   Xie, Ang and Yin, Feng and Xu, Yue and Ai, Bo and Chen, Tianshi and Cui, Shuguang
   IEEE Signal Processing Letters, 2019

5. 

   Scalable Gaussian process using inexact ADMM for big data
   Xu, Yue and Yin, Feng and Zhang, Jiawei and Xu, Wenjun and Cui, Shuguang and Luo, Zhi-Quan
   2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019

6. 

   Wireless traffic prediction with scalable Gaussian process: Framework, algorithms, and verification
   Xu, Yue and Yin, Feng and Xu, Wenjun and Lin, Jiarui and Cui, Shuguang
   IEEE Journal on Selected Areas in Communications, 2019

7. 

   UAV Hovering Strategy Based on a Wirelessly Powered Communication Network
   Chen, Haole and Li, Deshi and Wang, Yuqin and Yin, Feng
   IEEE Access, 2019

8. 

   Navigation with Low-Sampling-Rate GPS and Smartphone Sensors: A Data-Driven Learning-Based Approach
   Qi, Jiahui and Li, Hang and Yin, Feng and Ai, Bo and Putra, Hervin Hidayat and Cui, Shuguang
   IET 8th International Conference on Wireless, Mobile & Multimedia Networks, 2019

2018

1. 

   Multi-Task Neural Networks for Joint Hippocampus Segmentation and Clinical Score Regression
   Cao, Liang and Li, Long and Zheng, Jifeng and Fan, Xin and Yin, Feng and Shen, Hui and Zhang, Jun
   Multimedia Tools and Applications, 2018

2. 

   Online MEM Based Binary Classification Algorithm for China Mobile Imbalanced Dataset
   Lin, Shuqing and Yin, Feng and Lin, Zhidi and Lin, Yanbin and Cui, Shuguang Robert and Li, Teng and Yu, Fengli and Yu, Wei and Hong, Xuemin and Shi, Jianghong and Luo, Zhi-Quan Tom
   2018 IEEE/CIC International Conference on Communications in China (ICCC), 2018

3. 

   Sparse Structure Enabled Grid Spectral Mixture Kernel for Temporal Gaussian Process Regression
   Yin, Feng and He, Xinwei and Pan, Lishuo and Chen, Tianshi and Luo, Zhi-Quan Tom and Theodoridis, Sergios
   2018 21st International Conference on Information Fusion (FUSION), 2018

4. 

   Sequential Monte Carlo Methods and Theoretical Bounds for Proximity Report Based Indoor Positioning
   Zhao, Yuxin and Fritsche, Carsten and Yin, Feng and Gunnarsson, Fredrik and Gustafsson, Fredrik
   IEEE Transactions on Vehicular Technology, 2018

5. 

   Multiple Kernel Based Regularized System Identification with SURE Hyper-parameter Estimator
   Hong, Shiying and Mu, Biqiang and Yin, Feng and Andersen, Martin S. and Chen, Tianshi
   IFAC-PapersOnLine, 2018

6. 

   Regularized LTI System Identification with Multiple Regularization Matrix
   Chen, Tianshi and Andersen, Martin S. and Mu, Biqiang and Yin, Feng and Ljung, Lennart and Qin, S. Joe
   IFAC-PapersOnLine, 2018

2017

1. 

   High-Accuracy Wireless Traffic Prediction: A GP-Based Machine Learning Approach
   Xu, Yue and Xu, Wenjun and Yin, Feng and Lin, Jiaru and Cui, Shuguang
   IEEE Global Communications Conference (GLOBECOM), 2017

2. 

   Distributed Recursive Gaussian Processes for RSS Map Applied to Target Tracking
   Yin, Feng and Gunnarsson, Fredrik
   IEEE Journal of Selected Topics in Signal Processing, 2017

2016

1. 

   Gaussian Processes for Flow Modeling and Prediction of Positioned Trajectories Evaluated with Sports Data
   Zhao, Yuxin and Yin, Feng and Gunnarsson, Fredrik and Hultkratz, Fredrik and Fagerlind, Johan
   IEEE 19th International Conference on Information Fusion (FUSION), 2016

2. 

   Fundamental Bounds on Position Estimation Using Proximity Reports
   Yin, Feng and Zhao, Yuxin and Gunnarsson, Fredrik
   IEEE 83rd Vehicular Technology Conference (VTC Spring), 2016

3. 

   Cooperative localization based on severely quantized RSS measurements in wireless sensor network
   Jin, Di and Yin, Feng and Fritsche, Carsten and Zoubir, Abdelhak M. and Gustafsson, Fredrik
   IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016

4. 

   Received-Signal-Strength Threshold Optimization Using Gaussian Processes
   Yin, Feng and Zhao, Yuxin and Gunnarsson, Fredrik and Gustafsson, Fredrik
   IEEE Transactions on Signal Processing, 2016

2015

1. 

   Dithering in quantized RSS based localization
   Jin, Di and Zoubir, Abdelhak M. and Yin, Feng and Fritsche, Carsten and Gustafsson, Fredrik
   IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015

2. 

   Efficient cooperative localization algorithm in LOS/NLOS environments
   Jin, Di and Yin, Feng and Zoubir, Abdelhak M. and Fritsche, Carsten and Gustafsson, Fredrik
   23rd European Signal Processing Conference (EUSIPCO), 2015

3. 

   Proximity report triggering threshold optimization for network-based indoor positioning
   Yin, Feng and Zhao, Yuxin and Gunnarsson, Fredrik
   IEEE International Conference on Information Fusion (Fusion), 2015

4. 

   Particle filtering for positioning based on proximity reports
   Zhao, Yuxin and Yin, Feng and Gunnarsson, Fredrik and Amirijoo, Mehdi and Özkan, Emre and Gustafsson, Fredrik
   IEEE International Conference on Information Fusion (Fusion), 2015

5. 

   Cooperative Localization in WSNs Using Gaussian Mixture Modeling: Distributed ECM Algorithms
   Yin, Feng and Fritsche, Carsten and Jin, Di and Gustafsson, Fredrik and Zoubir, Abdelhak M.
   IEEE Transactions on Signal Processing, 2015

2014

1. 

   Data Driven Model Mismatch Detection Based on Statistical Band of Markov Parameters
   Yin, Feng and Wang, Hong and Xie, Lei and Wu, Ping and Song, Zhihuan
   Computers & Electrical Engineering, 2014

2013

1. 

   RSS-based Sensor Network Localization in Contaminated Gaussian Measurement Noise
   Yin, Feng and Li, Ang and Zoubir, Abdelhak M. and Fritsche, Carsten and Gustafsson, Fredrik
   IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013

2. 

   EM and JMAP-ML Based Joint Estimation Algorithms for Robust Wireless Geolocation in Mixed LOS/NLOS Environments
   Yin, Feng and Fritsche, Carsten and Gustafsson, Fredrik and Zoubir, Abdelhak M.
   IEEE Transactions on Signal Processing, 2013

3. 

   Robust Cooperative Sensor Network Localization via The EM Criterion in LOS/NLOS Environments
   Yin, Feng and Zoubir, Abdelhak M. and Fritsche, Carsten and Gustafsson, Fredrik
   IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2013

4. 

   Received Signal Strength-Based Joint Parameter Estimation Algorithm for Robust Geolocation in LOS/NLOS Environments
   Yin, Feng and Fritsche, Carsten and Gustafsson, Fredrik and Zoubir, Abdelhak M.
   IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013

5. 

   TOA-Based Robust Wireless Geolocation and Cramér-Rao Lower Bound Analysis in Harsh LOS/NLOS Environments
   Yin, Feng and Fritsche, Carsten and Gustafsson, Fredrik and Zoubir, Abdelhak M.
   IEEE Transactions on Signal Processing, 2013

2012

1. 

   Parametric Waveform Design Using Discrete Prolate Spheroidal Sequences for Enhanced Detection of Extended Targets
   Yin, Feng and Debes, Christian and Zoubir, Abdelhak M.
   IEEE Transactions on Signal Processing, 2012

2. 

   Robust Positioning in NLOS Environments Using Nonparametric Adaptive Kernel Density Estimation
   Yin, Feng and Zoubir, Abdelhak M.
   IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012

2011

1. 

   Parametric Waveform Design for Improved Target Detection
   Yin, Feng and Debes, Christian and Zoubir, Abdelhak M.
   European Signal Processing Conference, 2011