RCNet: Incorporating Structural Information into Deep RNN for Online MIMO-OFDM Symbol Detection with Limited Training Z Zhou, L Liu, S Jere, J Zhang, Y Yi IEEE Transactions on Wireless Communications 20 (6), 3524 - 3537, 2021 | 39* | 2021 |
Anonymous Jamming Detection in 5G with Bayesian Network Model Based Inference Analysis Y Wang, S Jere, S Banerjee, L Liu, S Shetty, S Dayekh 2022 IEEE 23rd International Conference on High Performance Switching and …, 2022 | 26 | 2022 |
Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network K Bai, Y Yi, Z Zhou, S Jere, L Liu IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10 (2 …, 2020 | 24 | 2020 |
Extracting commuting patterns in railway networks through matrix decompositions S Jere, J Dauwels, MT Asif, NM Vie, A Cichocki, P Jaillet 2014 13th International Conference on Control Automation Robotics & Vision …, 2014 | 19 | 2014 |
Distributed Learning Meets 6G: A Communication and Computing Perspective S Jere, Y Song, Y Yi, L Liu IEEE Wireless Communications 30 (1), 112-117, 2023 | 14 | 2023 |
Bayesian Inference-assisted Machine Learning for Near Real-Time Jamming Detection and Classification in 5G New Radio (NR) S Jere, Y Wang, I Aryendu, S Dayekh, L Liu IEEE Transactions on Wireless Communications 23 (7), 7043-7059, 2023 | 11 | 2023 |
Machine Learning-assisted Bayesian Inference for Jamming Detection in 5G NR S Jere, Y Wang, I Aryendu, S Dayekh, L Liu arXiv preprint arXiv:2304.13660, 2023 | 11 | 2023 |
Federated learning in mobile edge computing: An edge-learning perspective for beyond 5G S Jere, Q Fan, B Shang, L Li, L Liu arXiv preprint arXiv:2007.08030, 2020 | 11 | 2020 |
Channel Equalization Through Reservoir Computing: A Theoretical Perspective S Jere, R Safavinejad, L Zheng, L Liu IEEE Wireless Communications Letters 12 (5), 774-778, 2023 | 7 | 2023 |
Performance analysis and optimization for layer-based scalable video caching in 6G networks J Ma, L Liu, B Shang, S Jere, P Fan IEEE/ACM Transactions on Networking 31 (4), 1494-1506, 2022 | 7 | 2022 |
Federated dynamic spectrum access Y Song, HH Chang, Z Zhou, S Jere, L Liu arXiv preprint arXiv:2106.14976, 2021 | 7 | 2021 |
Theoretical Foundation and Design Guideline for Reservoir Computing-Based MIMO-OFDM Symbol Detection S Jere, R Safavinejad, L Liu IEEE Transactions on Communications 71 (9), 5169-5181, 2023 | 6 | 2023 |
Anonymous Jamming Detection in 5G with Bayesian Network Model Based Inference Analysis Sachin Shetty Y Wang, S Jere, S Banerjee, L Liu, S Dayekh IEEE International Conference on High Performance Switching and Routing 6–8 …, 2022 | 6 | 2022 |
Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection Z Zhou, S Jere, L Zheng, L Liu 2020 54th Asilomar Conference on Signals, Systems, and Computers, 2020 | 6 | 2020 |
Learning for Integer-Constrained Optimization through Neural Networks with Limited Training Z Zhou, S Jere, L Zheng, L Liu 1st Workshop on Learning Meets Combinatorial Algorithms @ NeurIPS 2020, 2020 | 6 | 2020 |
Universal Approximation of Linear Time-Invariant (LTI) Systems through RNNs: Power of Randomness in Reservoir Computing S Jere, L Zheng, K Said, L Liu IEEE Journal of Selected Topics in Signal Processing 18 (2), 184-198, 2024 | 3 | 2024 |
Towards explainable machine learning: The effectiveness of reservoir computing in wireless receive processing S Jere, K Said, L Zheng, L Liu MILCOM 2023-2023 IEEE Military Communications Conference (MILCOM), 667-672, 2023 | 3 | 2023 |
Error bound characterization for reservoir computing-based OFDM symbol detection S Jere, HM Saad, L Liu ICC 2022-IEEE International Conference on Communications, 1349-1354, 2022 | 3 | 2022 |
Learning at the Speed of Wireless: Online Real-Time Learning for AI-Enabled MIMO in NextG J Xu, S Jere, Y Song, YH Kao, L Zheng, L Liu arXiv preprint arXiv:2403.02651, 2024 | 2 | 2024 |
Edge Intelligence for Beyond-5G through Federated Learning S Jere, Y Yi 2021 IEEE/ACM Symposium on Edge Computing (SEC), 345-349, 2021 | 2 | 2021 |