Parametric waveform design for improved target detection. - Feng Yin 001; Christian Debes; Abdelhak M. Zoubir (EUSIPCO, 2011)

Robust positioning in NLOS environments using nonparametric adaptive kernel density estimation. - Feng Yin 001; Abdelhak M. Zoubir (ICASSP, 2012)

Parametric Waveform Design Using Discrete Prolate Spheroidal Sequences for Enhanced Detection of Extended Targets. - Feng Yin 001; Christian Debes; Abdelhak M. Zoubir (IEEE Trans. Signal Process., 2012)

RSS-based sensor network localization in contaminated Gaussian measurement noise. - Feng Yin 001; Ang Li; Abdelhak M. Zoubir; Carsten Fritsche; Fredrik Gustafsson (CAMSAP, 2013)

Received signal strength-based joint parameter estimation algorithm for robust geolocation in LOS/NLOS environments. - Feng Yin 001; Carsten Fritsche; Fredrik Gustafsson; Abdelhak M. Zoubir (ICASSP, 2013)

Robust cooperative sensor network localization via the EM criterion in LOS/NLOS environments. - Feng Yin 001; Abdelhak M. Zoubir; Carsten Fritsche; Fredrik Gustafsson (SPAWC, 2013)

TOA-Based Robust Wireless Geolocation and Cramér-Rao Lower Bound Analysis in Harsh LOS/NLOS Environments. - Feng Yin 001; Carsten Fritsche; Fredrik Gustafsson; Abdelhak M. Zoubir (IEEE Trans. Signal Process., 2013)

EM- and JMAP-ML Based Joint Estimation Algorithms for Robust Wireless Geolocation in Mixed LOS/NLOS Environments. - Feng Yin 001; Carsten Fritsche; Fredrik Gustafsson; Abdelhak M. Zoubir (IEEE Trans. Signal Process., 2014)

Dithering in quantized RSS based localization. - Di Jin 002; Abdelhak M. Zoubir; Feng Yin 001; Carsten Fritsche; Fredrik Gustafsson (CAMSAP, 2015)

Efficient cooperative localization algorithm in LOS/NLOS environments. - Di Jin 002; Feng Yin 001; Carsten Fritsche; Abdelhak M. Zoubir; Fredrik Gustafsson (EUSIPCO, 2015)

Proximity report triggering threshold optimization for network-based indoor positioning. - Feng Yin 001; Yuxin Zhao 003; Fredrik Gunnarsson (FUSION, 2015)

Particle filtering for positioning based on proximity reports. - Yuxin Zhao 003; Feng Yin 001; Fredrik Gunnarsson; Mehdi Amirijoo; Emre Özkan; Fredrik Gustafsson (FUSION, 2015)

Cooperative Localization in WSNs Using Gaussian Mixture Modeling: Distributed ECM Algorithms. - Feng Yin 001; Carsten Fritsche; Di Jin 002; Fredrik Gustafsson; Abdelhak M. Zoubir (IEEE Trans. Signal Process., 2015)

Gaussian processes for flow modeling and prediction of positioned trajectories evaluated with sports data. - Yuxin Zhao 003; Feng Yin 001; Fredrik Gunnarsson; Fredrik Hultkrantz; Johan Fagerlind (FUSION, 2016)

Cooperative localization based on severely quantized RSS measurements in wireless sensor network. - Di Jin 002; Feng Yin 001; Carsten Fritsche; Abdelhak M. Zoubir; Fredrik Gustafsson (ICASSP, 2016)

Fundamental Bounds on Position Estimation Using Proximity Reports. - Feng Yin 001; Yuxin Zhao 003; Fredrik Gunnarsson (VTC Spring, 2016)

Gaussian Process for Propagation Modeling and Proximity Reports Based Indoor Positioning. - Yuxin Zhao 003; Feng Yin 001; Fredrik Gunnarsson; Mehdi Amirijoo; Gustaf Hendeby (VTC Spring, 2016)

On the choice of solution subspace for nonstationary iterated Tikhonov regularization. - Guang-Xin Huang; Lothar Reichel; Feng Yin 001 (Numer. Algorithms, 2016)

High-Accuracy Wireless Traffic Prediction: A GP-Based Machine Learning Approach. - Yue Xu; Wenjun Xu 001; Feng Yin 001; Jiaru Lin; Shuguang Cui (GLOBECOM, 2017)

Distributed Recursive Gaussian Processes for RSS Map Applied to Target Tracking. - Feng Yin 001; Fredrik Gunnarsson (IEEE J. Sel. Top. Signal Process., 2017)

Online Spatiotemporal Extreme Learning Machine for Complex Time-Varying Distributed Parameter Systems. - Xinjiang Lu; Feng Yin 001; Chang Liu; Minghui Huang (IEEE Trans. Ind. Informatics, 2017)

Received-Signal-Strength Threshold Optimization Using Gaussian Processes. - Feng Yin 001; Yuxin Zhao 003; Fredrik Gunnarsson; Fredrik Gustafsson (IEEE Trans. Signal Process., 2017)

Sparse Structure Enabled Grid Spectral Mixture Kernel for Temporal Gaussian Process Regression. - Feng Yin 001; Xinwei He; Lishuo Pan; Tianshi Chen 001; Zhi-Quan Tom Luo; Sergios Theodoridis (FUSION, 2018)

Online MEM Based Binary Classification Algorithm for China Mobile Imbalanced Dataset. - Shuqing Lin; Feng Yin 001; Zhidi Lin; Yanbin Lin; Shuguang Robert Cui; Teng Li; Fengli Yu; Wei Yu 001; Xuemin Hong; Jianghong Shi; Zhi-Quan Tom Luo (ICCC, 2018)

Construction of Confidence Intervals for Distributed Parameter Processes Under Noise. - Xinjiang Lu; Xiangbo Cui; Yi Zhang 068; Feng Yin 001 (IEEE Access, 2018)

Fast Maximum Entropy Machine for Big Imbalanced Datasets. - Feng Yin 001; Shuqing Lin; Chuxin Piao; Shuguang Cui (J. Commun. Inf. Networks, 2018)

Multi-task neural networks for joint hippocampus segmentation and clinical score regression. - Liang Cao; Long Li; Jifeng Zheng; Xin Fan; Feng Yin 001; Hui Shen; Jun Zhang 018 (Multim. Tools Appl., 2018)

Sequential Monte Carlo Methods and Theoretical Bounds for Proximity Report Based Indoor Positioning. - Yuxin Zhao 003; Carsten Fritsche; Feng Yin 001; Fredrik Gunnarsson; Fredrik Gustafsson (IEEE Trans. Veh. Technol., 2018)

Scalable Gaussian Process Using Inexact Admm for Big Data. - Yue Xu; Feng Yin 001; Jiawei Zhang 007; Wenjun Xu 001; Shuguang Cui; Zhi-Quan Luo (ICASSP, 2019)

Distributed Gaussian Process: New Paradigm and Application to Wireless Traffic Prediction. - Yue Xu; Feng Yin 001; Wenjun Xu 001; Jiaru Lin; Shuguang Cui (ICC, 2019)

How Effectively can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Cramer-Rao Bound Viewpoi. - Panwen Hu; Zizheng Yan; Rui Huang 001; Feng Yin 001 (ICIP, 2019)

Recursive Implementation of Gaussian Process Regression for Spatial-Temporal Data Modeling. - Ye Kuang; Tianshi Chen 001; Feng Yin 001; Renxin Zhong (WCSP, 2019)

UAV Hovering Strategy Based on a Wirelessly Powered Communication Network. - Haole Chen; Deshi Li; Yuqin Wang; Feng Yin 001 (IEEE Access, 2019)

How Effectively Can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Camera-Rao Bound Viewpoint. - Panwen Hu; Zizheng Yan; Rui Huang 001; Feng Yin 001 (CoRR, 2019)

Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series. - Feng Yin 001; Lishuo Pan; Xinwei He; Tianshi Chen 001; Sergios Theodoridis; Zhi-Quan Tom Luo (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 001; Jiawei Zhang 007; Zhi-Quan Luo; Shuguang Cui (CoRR, 2019)

Gaussian Processes for Analyzing Positioned Trajectories in Sports. - Yuxin Zhao 003; Feng Yin 001; Fredrik Gunnarsson; Fredrik Hultkrantz (CoRR, 2019)

Wireless Traffic Prediction With Scalable Gaussian Process: Framework, Algorithms, and Verification. - Yue Xu; Feng Yin 001; Wenjun Xu 001; Jiaru Lin; Shuguang Cui (IEEE J. Sel. Areas Commun., 2019)

On the choice of subspace for large-scale Tikhonov regularization problems in general form. - Guang-Xin Huang; Lothar Reichel; Feng Yin 001 (Numer. Algorithms, 2019)

Distributed Gaussian Processes Hyperparameter Optimization for Big Data Using Proximal ADMM. - Ang Xie; Feng Yin 001; Yue Xu; Bo Ai 001; Tianshi Chen 001; Shuguang Cui (IEEE Signal Process. Lett., 2019)

A Novel Spatiotemporal Fuzzy Method for Modeling of Complex Distributed Parameter Processes. - Xinjiang Lu; Te-Te Hu; Feng Yin 001 (IEEE Trans. Ind. Electron., 2019)

Cramér-Rao Bounds for Filtering Based on Gaussian Process State-Space Models. - Yuxin Zhao 003; Carsten Fritsche; Gustaf Hendeby; Feng Yin 001; Tianshi Chen 001; Fredrik Gunnarsson (IEEE Trans. Signal Process., 2019)

Learning While Tracking: A Practical System Based on Variational Gaussian Process State-Space Model and Smartphone Sensory Data. - Ang Xie; Feng Yin 001; Bo Ai 001; Sha Zhang; Shuguang Cui (FUSION, 2020)

Exploiting Sparsity for Robust Sensor Network Localization in Mixed LOS/NLOS Environments. - Di Jin 002; Feng Yin 001; Michael Fauß; Michael Muma; Abdelhak M. Zoubir (ICASSP, 2020)

Exact O(N2) Hyper-Parameter Optimization for Gaussian Process Regression. - Linning Xu; Yijue Dai; Jiawei Zhang 007; Ceyao Zhang; Feng Yin 001 (MLSP, 2020)

An Interpretable and Sample Efficient Deep Kernel for Gaussian Process. - Yijue Dai; Tianjian Zhang; Zhidi Lin; Feng Yin 001; Sergios Theodoridis; Shuguang Cui (UAI, 2020)

Scalable Learning Paradigms for Data-Driven Wireless Communication. - Yue Xu; Feng Yin 001; Wenjun Xu 001; Chia-Han Lee; Jiaru Lin; Shuguang Cui (IEEE Commun. Mag., 2020)

FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing. - Feng Yin 001; Zhidi Lin; Yue Xu; Qinglei Kong; Deshi Li; Sergios Theodoridis; Shuguang Cui (CoRR, 2020)

Optimally Combining Classifiers for Semi-Supervised Learning. - Zhiguo Wang 005; Liusha Yang; Feng Yin 001; Ke Lin; Qingjiang Shi; Zhi-Quan Luo (CoRR, 2020)

Ocean Surface Drifting Buoy System Based on UAV-Enabled Wireless Powered Relay Network. - Haole Chen; Feng Yin 001; Wei Huang 023; Mingliu Liu; Deshi Li (Sensors, 2020)

Bayesian Cooperative Localization Using Received Signal Strength With Unknown Path Loss Exponent: Message Passing Approaches. - Di Jin 002; Feng Yin 001; Carsten Fritsche; Fredrik Gustafsson; Abdelhak M. Zoubir (IEEE Trans. Signal Process., 2020)

Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series. - Feng Yin 001; Lishuo Pan; Tianshi Chen 001; Sergios Theodoridis; Zhi-Quan Tom Luo; Abdelhak M. Zoubir (IEEE Trans. Signal Process., 2020)

Graph Neural Network for Large-Scale Network Localization. - Wenzhong Yan; Di Jin 002; Zhidi Lin; Feng Yin 001 (ICASSP, 2021)

Achieving Blockchain-based Privacy-Preserving Location Proofs under Federated Learning. - Qinglei Kong; Feng Yin 001; Yue Xiao; Beibei Li 002; Xuejia Yang; Shuguang Cui (ICC, 2021)

Data-Driven Wireless Communication Using Gaussian Processes. - Kai Chen; Qinglei Kong; Yijue Dai; Yue Xu; Feng Yin 001; Lexi Xu; Shuguang Cui (CoRR, 2021)

Privacy-Preserving Aggregation for Federated Learning-Based Navigation in Vehicular Fog. - Qinglei Kong; Feng Yin 001; Rongxing Lu; Beibei Li 002; Xiaohong Wang; Shuguang Cui; Ping Zhang 003 (IEEE Trans. Ind. Informatics, 2021)

Privacy-Preserving Continuous Data Collection for Predictive Maintenance in Vehicular Fog-Cloud. - Qinglei Kong; Rongxing Lu; Feng Yin 001; Shuguang Cui (IEEE Trans. Intell. Transp. Syst., 2021)

Exploiting Sparsity of Ranging Biases for NLOS Mitigation. - Di Jin 002; Feng Yin 001; Abdelhak M. Zoubir; Hing Cheung So (IEEE Trans. Signal Process., 2021)

Blockchain-Based Privacy-Preserving Driver Monitoring for MaaS in the Vehicular IoT. - Qinglei Kong; Rongxing Lu; Feng Yin 001; Shuguang Cui (IEEE Trans. Veh. Technol., 2021)

Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data. - Richard Cornelius Suwandi; Zhidi Lin; Yiyong Sun; Zhiguo Wang 005; Lei Cheng 003; Feng Yin 001 (FUSION, 2022)

Multitask Gaussian Process With Hierarchical Latent Interactions. - Kai Chen; Twan van Laarhoven; Elena Marchiori; Feng Yin 001; Shuguang Cui (ICASSP, 2022)

ICASSP-SPGC 2022: Root Cause Analysis for Wireless Network Fault Localization. - Tianjian Zhang; Qian Chen; Yi Jiang; Dandan Miao; Feng Yin 001; Tao Quan; Qingjiang Shi; Zhi-Quan Luo (ICASSP, 2022)

MetaLoc: Learning to Learn Indoor RSS Fingerprinting Localization over Multiple Scenarios. - Jun Gao; Ceyao Zhang; Qinglei Kong; Feng Yin 001; Lexi Xu; Kai Niu 001 (ICC, 2022)

Fast Generic Interaction Detection for Model Interpretability and Compression. - Tianjian Zhang; Feng Yin 001; Zhi-Quan Luo (ICLR, 2022)

Adaptive Gaussian Process Spectral Kernel Learning for 5G Wireless Traffic Prediction. - Xinyi Zhang; Chenxu Zhao; Yun Yang; Zhidi Lin; Juntao Wang; Feng Yin 001 (MLSP, 2022)

A Secure and Privacy-Preserving Dynamic Aggregation Mechanism for V2G System. - Xiaodong Qu; Qinglei Kong; Feng Yin 001; Leixi Xu (PST, 2022)

Preconditioned TBiCOR and TCORS algorithms for solving the Sylvester tensor equation. - Guang-Xin Huang; Qixing Chen; Feng Yin 001 (Appl. Math. Comput., 2022)

Tikhonov regularization with MTRSVD method for solving large-scale discrete ill-posed problems. - Guang-Xin Huang; Yuanyuan Liu; Feng Yin 001 (J. Comput. Appl. Math., 2022)

Achieving Efficient and Secure Handover in LEO Constellation-Assisted Beyond 5G Networks. - Qinglei Kong; Rongxing Lu; Feng Yin 001 (IEEE Open J. Commun. Soc., 2022)

Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling. - Lei Cheng 003; Feng Yin 001; Sergios Theodoridis; Sotirios Chatzis; Tsung-Hui Chang (IEEE Signal Process. Mag., 2022)

Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training. - Ying Li 047; Lei Cheng 003; Feng Yin 001; Michael Minyi Zhang; Sergios Theodoridis (ICASSP, 2023)

Output-Dependent Gaussian Process State-Space Model. - Zhidi Lin; Lei Cheng 003; Feng Yin 001; Lexi Xu; Shuguang Cui (ICASSP, 2023)

Towards Flexibility and Interpretability of Gaussian Process State-Space Model. - Zhidi Lin; Feng Yin 001 (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 001; Anji Liu; Song-Chun Zhu; Xiaojun Chang; Junge Zhang; et al. (CoRR, 2023)

Gaussian Processes with Linear Multiple Kernel: Spectrum Design and Distributed Learning for Multi-Dimensional Data. - Richard Cornelius Suwandi; Zhidi Lin; Feng Yin 001 (CoRR, 2023)

Attentional Graph Neural Networks for Robust Massive Network Localization. - Wenzhong Yan; Juntao Wang; Feng Yin 001; Abdelhak M. Zoubir (CoRR, 2023)

A framework for millimeter-wave multi-user SLAM and its low-cost realization. - Jiajun He 001; Feng Yin 001; Hing Cheung So (Signal Process., 2023)

Data-adaptive M-estimators for robust regression via bi-level optimization. - Ceyao Zhang; Tianjian Zhang; Feng Yin 001; Abdelhak M. Zoubir (Signal Process., 2023)

Distributed Scaled Proximal ADMM Algorithms for Cooperative Localization in WSNs. - Mei Zhang; Zhiguo Wang 005; Feng Yin 001; Xiaojing Shen (IEEE Trans. Signal Process., 2023)

MetaLoc: Learning to Learn Wireless Localization. - Jun Gao; Dongze Wu; Feng Yin 001; Qinglei Kong; Lexi Xu; Shuguang Cui (IEEE J. Sel. Areas Commun., 2023)

Compressible spectral mixture kernels with sparse dependency structures for Gaussian processes. - Kai Chen; Feng Yin 001; Shuguang Cui (Signal Process., 2023)

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 001; Anji Liu; Song-Chun Zhu; Xiaojun Chang; Junge Zhang; et al. (AAAI, 2024)

LMMSE-Aided WLLS Location Estimators for Source Localization with RSS Measurements. - Donglin Zhang; Zhansheng Duan; Yiyong Sun; Feng Yin 001 (FUSION, 2024)

Regularization-Based Efficient Continual Learning in Deep State-Space Models. - Yuanhang Zhang; Zhidi Lin; Yiyong Sun; Feng Yin 001; Carsten Fritsche (FUSION, 2024)

Joint DOA Estimation and Distorted Sensor Detection Under Entangled Low-Rank and Row-Sparse Constraints. - Huiping Huang; Tianjian Zhang; Feng Yin 001; Bin Liao; Henk Wymeersch (ICASSP, 2024)

Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models. - Zhidi Lin; Juan Maroñas; Ying Li 047; Feng Yin 001; Sergios Theodoridis (ICASSP, 2024)

Bayesian-Boosted MetaLoc: Efficient Training and Guaranteed Generalization for Indoor Localization. - Dongze Wu; Jun Gao; Feng Yin 001 (ICASSP, 2024)

Graphical Multioutput Gaussian Process with Attention. - Yijue Dai; Wenzhong Yan; Feng Yin 001 (ICLR, 2024)

Preventing Model Collapse in Gaussian Process Latent Variable Models. - Ying Li 047; Zhidi Lin; Feng Yin 001; Michael Minyi Zhang (ICML, 2024)

Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects. - Yuheng Cheng; Ceyao Zhang; Zhengwen Zhang; Xiangrui Meng; Sirui Hong; Wenhao Li 001; Zihao Wang; Zekai Wang; Feng Yin 001; Junhua Zhao 001; Xiuqiang He 001 (CoRR, 2024)

Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem. - Ceyao Zhang; Renjie Li; Cheng Zhang; Zhaoyu Zhang; Feng Yin 001 (CoRR, 2024)

A Secure Satellite-Edge Computing Framework for Collaborative Line Outage Identification in Smart Grid. - Qinglei Kong; Xiaodong Qu; Songnian Zhang; Feng Yin 001; Rongxing Lu; Bo Chen 015 (IEEE Trans. Serv. Comput., 2024)

Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference. - Zhidi Lin; Yiyong Sun; Feng Yin 001; Alexandre Hoang Thiery (IEEE Trans. Signal Process., 2024)

Achieving Privacy-Preserving Location Management in LEO-Satellite Integrated Vehicular Network With Dense Ground Stations. - Qinglei Kong; Xiaodong Qu; Feng Yin 001; Rongxing Lu; Songnian Zhang; Maode Ma (IEEE Trans. Veh. Technol., 2024)

Integrated Interpolation and Matrix Completion for Radio Map Estimation: A Convex Optimization Approach. - Hongcheng Dong; Wenqiang Pu; Rui Zhou 016; Xiao Fu 001; Feng Yin 001 (ICASSP, 2025)

Basis Function Learning for Variable-Length and Continuous-Indexed Signals. - Siyuan Li 012; Lei Cheng 003; Feng Yin 001; Jianlong Li; Peter Gerstoft (ICASSP, 2025)

Maximum Likelihood Estimation for Bivariate Joint Distribution Recovery from Max-Aggregated Data. - Tianjian Zhang; Feng Yin 001; Yue Sun; Qi Yan (ICASSP, 2025)

Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs. - Richard Cornelius Suwandi; Feng Yin 001; Juntao Wang; Renjie Li; Tsung-Hui Chang; Sergios Theodoridis (NeurIPS, 2025)

A Model-Free Coarse-to-Fine Framework for Estimating Time-Varying Wireless Signals. - Yiyong Sun; Feng Yin 001; Pooi-Yuen Kam (UPINLBS, 2025)

An efficient GNSS spoofing detection scheme with correlator-based complex metric. - Jian Liu; Qinglei Kong; Feng Yin 001; Yu Chen; Bo Chen 015 (Digit. Signal Process., 2025)

When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning. - Siyuan Li 012; Shikai Fang; Lei Cheng 003; Feng Yin 001; Yik-Chung Wu; Peter Gerstoft; Sergios Theodoridis (IEEE Trans. Signal Process., 2025)

Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems. - Zhidi Lin; Ying Li 047; Feng Yin 001; Juan Maroñas; Alexandre H. Thiéry (IEEE Trans. Signal Process., 2025)

Learning to Gridize: Segment Physical World by Wireless Communication Channel. - Juntao Wang; Feng Yin 001; Tian Ding; Tsung-Hui Chang; Zhi-Quan Luo; Qi Yan (CoRR, 2025)

Sparsity-Aware Distributed Learning for Gaussian Processes With Linear Multiple Kernel. - Richard Cornelius Suwandi; Zhidi Lin; Feng Yin 001; Zhiguo Wang 005; Sergios Theodoridis (IEEE Trans. Neural Networks Learn. Syst., 2025)

Attentional Graph Neural Network is All You Need for Robust Massive Network Localization. - Wenzhong Yan; Feng Yin 001; Juntao Wang; Geert Leus; Abdelhak M. Zoubir; Yang Tian (IEEE J. Sel. Top. Signal Process., 2025)

Design and Implementation of the Correntropy-Based Filter for GNSS Vector Tracking and Positioning. - Jian Liu; Qinglei Kong; Feng Yin 001; Zhanzhang Cai; Mengfei Sun; Bo Chen 015 (IEEE Trans. Aerosp. Electron. Syst., 2025)

Hybrid Data-Driven SSM for Interpretable and Label-Free mmWave Channel Prediction. - Yiyong Sun; Jiajun He 001; Zhidi Lin; Wenqiang Pu; Feng Yin 001; Hing Cheung So (IEEE Trans. Mob. Comput., 2025)

Topology-Aware Integrated Communication, Sensing, and Power Transfer for Multi-User SAGIN. - Han Yu 010; Jiajun He 001; Xinping Yi; Feng Yin 001; Hing Cheung So; Giuseppe Caire (IEEE J. Sel. Areas Commun., 2026)

Stochastic Analysis of Cramér-Rao Lower Bound for Positioning in mmWave-THz HetNets. - Jiajun He 001; Yiyong Sun; Feng Yin 001; Wenxin Xiong; Hing Cheung So; Hien Quoc Ngo; Hyundong Shin; Michail Matthaiou (IEEE Trans. Commun., 2026)

RSS Localization in Cell-Free Massive MIMO: Algorithms, Analysis, and Implementation. - Jiajun He 001; Hien Quoc Ngo; Chao Wang 126; Feng Yin 001; Hing Cheung So; Hyundong Shin; Michail Matthaiou (IEEE Trans. Wirel. Commun., 2026)

PEMNet: Towards Autonomous and Enhanced Environment-Aware Mobile Networks. - Lei Li 030; Yanqing Xu 003; Ye Xue; Feng Yin 001; Chao Shen 004; Rui Zhang 006; Tsung-Hui Chang (CoRR, 2026)

Topology-Aware Integrated Communication, Sensing, and Power Transfer for SAGIN. - Han Yu 010; Jiajun He 001; Xinping Yi; Feng Yin 001; Hing Cheung So; Giuseppe Caire (CoRR, 2026)

Attentional Graph Meta-Learning for Indoor Localization Using Extremely Sparse Fingerprints. - Wenzhong Yan; Feng Yin 001; Jun Gao; Ao Wang; Yang Tian; Ruizhi Chen (IEEE Trans. Mob. Comput., 2026)