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ORCIDShashank Jere
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Journal Articles
- 2024
[j7]Shashank Jere
, Ying Wang, Ishan Aryendu, Shehadi Dayekh, Lingjia Liu:
Bayesian Inference-Assisted Machine Learning for Near Real-Time Jamming Detection and Classification in 5G New Radio (NR). IEEE Trans. Wirel. Commun. 23(7): 7043-7059 (2024)- 2023
- [j6]Shashank Jere, Ramin Safavinejad, Lingjia Liu:
Theoretical Foundation and Design Guideline for Reservoir Computing-Based MIMO-OFDM Symbol Detection. IEEE Trans. Commun. 71(9): 5169-5181 (2023) - [j5]Junchao Ma, Lingjia Liu, Bodong Shang, Shashank Jere, Pingzhi Fan:
Performance Analysis and Optimization for Layer-Based Scalable Video Caching in 6G Networks. IEEE/ACM Trans. Netw. 31(4): 1494-1506 (2023) - [j4]Shashank Jere, Yifei Song, Yang Yi, Lingjia Liu:
Distributed Learning Meets 6G: A Communication and Computing Perspective. IEEE Wirel. Commun. 30(1): 112-117 (2023) - [j3]Shashank Jere, Ramin Safavinejad, Lizhong Zheng, Lingjia Liu:
Channel Equalization Through Reservoir Computing: A Theoretical Perspective. IEEE Wirel. Commun. Lett. 12(5): 774-778 (2023) - 2021
- [j2]Zhou Zhou, Lingjia Liu, Shashank Jere, Jianzhong Zhang, Yang Yi:
RCNet: Incorporating Structural Information Into Deep RNN for Online MIMO-OFDM Symbol Detection With Limited Training. IEEE Trans. Wirel. Commun. 20(6): 3524-3537 (2021) - 2020
- [j1]Kangjun Bai, Yang Yi, Zhou Zhou, Shashank Jere, Lingjia Liu:
Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(2): 253-263 (2020)
Conference and Workshop Papers
- 2023
- [c6]Shashank Jere, Karim A. Said, Lizhong Zheng, Lingjia Liu:
Towards Explainable Machine Learning: The Effectiveness of Reservoir Computing in Wireless Receive Processing. MILCOM 2023: 667-672 - 2022
- [c5]Ying Wang, Shashank Jere, Soumya Banerjee, Lingjia Liu, Sachin Shetty, Shehadi Dayekh:
Anonymous Jamming Detection in 5G with Bayesian Network Model Based Inference Analysis. HPSR 2022: 151-156 - [c4]Shashank Jere, Hussein Metwaly Saad, Lingjia Liu:
Error bound characterization for reservoir computing-based OFDM symbol detection. ICC 2022: 1349-1354 - 2021
- [c3]Shashank Jere, Yang Yi:
Edge Intelligence for Beyond-5G through Federated Learning. SEC 2021: 345-349 - 2020
- [c2]Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu:
Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection. ACSSC 2020: 22-26 - 2014
- [c1]Shashank Jere, Justin Dauwels, Muhammad Tayyab Asif, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet:
Extracting commuting patterns in railway networks through matrix decompositions. ICARCV 2014: 541-546
Informal and Other Publications
- 2024
- [i11]Jiarui Xu, Shashank Jere, Yifei Song, Yi-Hung Kao, Lizhong Zheng, Lingjia Liu:
Learning at the Speed of Wireless: Online Real-Time Learning for AI-Enabled MIMO in NextG. CoRR abs/2403.02651 (2024) - [i10]Shashank Jere, Lizhong Zheng, Karim Said, Lingjia Liu:
Towards xAI: Configuring RNN Weights using Domain Knowledge for MIMO Receive Processing. CoRR abs/2410.07072 (2024) - 2023
- [i9]Shashank Jere, Yifei Song, Yang Yi, Lingjia Liu:
Distributed Learning Meets 6G: A Communication and Computing Perspective. CoRR abs/2303.12802 (2023) - [i8]Shashank Jere, Lizhong Zheng, Karim A. Said, Lingjia Liu:
Universal Approximation of Linear Time-Invariant (LTI) Systems through RNNs: Power of Randomness in Reservoir Computing. CoRR abs/2308.02464 (2023) - [i7]Shashank Jere, Karim A. Said, Lizhong Zheng, Lingjia Liu:
Towards Explainable Machine Learning: The Effectiveness of Reservoir Computing in Wireless Receive Processing. CoRR abs/2310.04956 (2023) - [i6]Ying Wang, Shashank Jere, Soumya Banerjee, Lingjia Liu, Sachin Shetty, Shehadi Dayekh:
Anonymous Jamming Detection in 5G with Bayesian Network Model Based Inference Analysis. CoRR abs/2311.17097 (2023) - 2021
- [i5]Yifei Song, Hao-Hsuan Chang, Zhou Zhou, Shashank Jere, Lingjia Liu:
Federated Dynamic Spectrum Access. CoRR abs/2106.14976 (2021) - 2020
- [i4]Zhou Zhou, Lingjia Liu, Shashank Jere, Jianzhong Zhang, Yang Yi:
RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training. CoRR abs/2003.06923 (2020) - [i3]Shashank Jere, Qiang Fan, Bodong Shang, Lianjun Li, Lingjia Liu:
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G. CoRR abs/2007.08030 (2020) - [i2]Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu:
Learning for Integer-Constrained Optimization through Neural Networks with Limited Training. CoRR abs/2011.05399 (2020) - [i1]Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu:
Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection. CoRR abs/2012.00711 (2020)
Coauthor Index
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