Publications

2026

1. 

   An Attention-Assisted AI Model for Real-Time Underwater Sound Speed Estimation Leveraging Remote Sensing Sea Surface Temperature Data
   Pengfei Wu, Wei Huang, Yujie Shi, Feng Yin, Hao Zhang
   IEEE Transactions on Neural Networks and Learning Systems, 2026

2025

1. 

   Attentional Graph Meta-Learning for Indoor Localization Using Extremely Sparse Fingerprints
   Wenzhong Yan, Feng Yin, Jun Gao, Ao Wang, Yang Tian, Ruizhi Chen
   IEEE Transactions on Mobile Computing, 2025

2. 

   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
   39th Conference on Neural Information Processing Systems (NeurIPS), 2025

3. 

   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 Journal of Selected Topics in Signal Processing, 2025

4. 

   Hybrid data-driven SSM for Interpretable and Label-Free MMW Channel Prediction
   Yiyong Sun, Jiajun He, Zhidi Lin, Wenqiang Pu, Feng Yin, Hing Cheung So
   IEEE Transactions on Mobile Computing, 2025

5. 

   Maximum Likelihood Estimation for Bivariate Joint Distribution Recovery from Max-Aggregated Data
   Tianjian Zhang, Feng Yin, Yue Sun, Qi Yan
   ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025

6. 

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

2024

1. 

   Ensemble Kalman filtering meets Gaussian process SSM for non-mean-field and online inference
   Zhidi Lin, Yiyong Sun, Feng Yin, Alexandre Hoang Thiéry
   IEEE Transactions on Signal Processing, 2024

2. 

   Towards efficient modeling and inference in multi-dimensional Gaussian process state-space models
   Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis
   ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

3. 

   Bayesian-boosted metaloc: Efficient training and guaranteed generalization for indoor localization
   Dongze Wu, Jun Gao, Feng Yin
   ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

2023

1. 

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

2. 

   Output-Dependent Gaussian Process State-Space Model
   Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Cui
   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
   Jiajun He, Feng Yin, Hing Cheung So
   Signal Processing, 2023

4. 

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

5. 

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

2022

1. 

   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 Processing Magazine, 2022

2. 

   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
   25th International Conference on Information Fusion (FUSION), 2022

3. 

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

4. 

   A Secure and Privacy-Preserving Dynamic Aggregation Mechanism for V2G System
   Xiaodong Qu, Qinglei Kong, Feng Yin, Lexi Xu
   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
   Richard Cornelius Suwandi, Zhidi Lin, Yiyong Sun, Zhiguo Wang, Lei Cheng, Feng Yin
   IEEE 25th International Conference on Information Fusion (FUSION), 2022

6. 

   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
   IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022

7. 

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

8. 

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

9. 

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

10. 

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

2021

1. 

   Achieving Efficient and Secure Handover in LEO Constellation-Assisted Beyond 5G Networks
   Qinglei Kong, Rongxing Lu, Feng Yin
   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
   Wenbiao Guo, Hang Li, Feng Yin, Bo Ai
   Journal of Physics: Conference Series, 2021

3. 

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

4. 

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

5. 

   Graph Neural Network for Large-Scale Network Localization
   Wenzhong Yan, Di Jin, Zhidi Lin, Feng Yin
   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
   Wei Huang, Mingliu Liu, Deshi Li, Feng Yin, Haole Chen, Jixuan Zhou, Huihui Xu
   IEEE Journal of Oceanic Engineering, 2021

7. 

   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 Transactions on Industrial Informatics, 2021

8. 

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

2020

1. 

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

2. 

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

3. 

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

4. 

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

5. 

   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 Transactions on Signal Processing, 2020

6. 

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

7. 

   Efficient Recursive Implementation of Spatial-Temporal Gaussian Process Regression
   Junpeng Zhang, Ye Kuang, Tianshi Chen, Xiaochen Lu, Feng Yin, Renxin Zhong
   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
   Ang Xie, Feng Yin, Bo Ai, Sha Zhang, Shuguang Cui
   IEEE 23rd International Conference on Information Fusion (FUSION), 2020

9. 

   Exploiting Sparsity for Robust Sensor Network Localization in Mixed LOS/NLOS Environments
   Di Jin, Feng Yin, Michael Fauß, Michael Muma, Abdelhak M. Zoubir
   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
    Di Jin, Feng Yin, Carsten Fritsche, Fredrik Gustafsson, Abdelhak M. Zoubir
    IEEE Transactions on Signal Processing, 2020

11. 

    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

2019

1. 

   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 Transactions on Signal Processing, 2019

2. 

   Recursive Implementation of Gaussian Process Regression for Spatial-Temporal Data Modeling
   Ye Kuang, Tianshi Chen, Feng Yin, Renxin Zhong
   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
   Panwen Hu, Zizheng Yan, Rui Huang, Feng Yin
   2019 IEEE International Conference on Image Processing (ICIP), 2019

4. 

   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 Processing Letters, 2019

5. 

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

6. 

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

7. 

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

8. 

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

2018

1. 

   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
   Multimedia Tools and Applications, 2018

2. 

   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
   2018 IEEE/CIC International Conference on Communications in China (ICCC), 2018

3. 

   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
   2018 21st International Conference on Information Fusion (FUSION), 2018

4. 

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

5. 

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

6. 

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

2017

1. 

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

2. 

   Distributed Recursive Gaussian Processes for RSS Map Applied to Target Tracking
   Feng Yin, Fredrik Gunnarsson
   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
   Yuxin Zhao, Feng Yin, Fredrik Gunnarsson, Fredrik Hultkratz, Johan Fagerlind
   IEEE 19th International Conference on Information Fusion (FUSION), 2016

2. 

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

3. 

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

4. 

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

2015

1. 

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

2. 

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

3. 

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

4. 

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

5. 

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

2014

1. 

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

2013

1. 

   RSS-based Sensor Network Localization in Contaminated Gaussian Measurement Noise
   Feng Yin, Ang Li, Abdelhak M. Zoubir, Carsten Fritsche, Fredrik Gustafsson
   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
   Feng Yin, Carsten Fritsche, Fredrik Gustafsson, Abdelhak M. Zoubir
   IEEE Transactions on Signal Processing, 2013

3. 

   Robust Cooperative Sensor Network Localization via The EM Criterion in LOS/NLOS Environments
   Feng Yin, Abdelhak M. Zoubir, Carsten Fritsche, Fredrik Gustafsson
   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
   Feng Yin, Carsten Fritsche, Fredrik Gustafsson, Abdelhak M. Zoubir
   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
   Feng Yin, Carsten Fritsche, Fredrik Gustafsson, Abdelhak M. Zoubir
   IEEE Transactions on Signal Processing, 2013

2012

1. 

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

2. 

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

2011

1. 

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