Shashank Jere

28 papers C 2Misc 2Journal 22Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Configuring RNN Weights for MIMO-OFDM Receive Processing: Informing RNN With Domain Knowledge.
IEEE Wirel. Commun. Lett.
Ummay Sumaya Khan, Lingjia Liu, Shashank Jere, Lizhong Zheng, Yang Yi
2026 J jnl
Configuring RNN's Recurrent Weights Using Domain Knowledge for LTI Approximation.
IEEE Signal Process. Lett.
Ramin Safavinejad, Shashank Jere, Lizhong Zheng, Lingjia Liu
2025 J jnl
Learning at the Speed of Wireless: Online Real-Time Learning for AI-Enabled MIMO in NextG.
IEEE Commun. Mag.
Jiarui Xu, Shashank Jere, Yifei Song, Yi-Hung Kao, Lizhong Zheng, Lingjia Liu
2025 J jnl
Toward xAI: Configuring RNN Weights Using Domain Knowledge for MIMO Receive Processing.
IEEE Trans. Wirel. Commun.
Shashank Jere, Lizhong Zheng, Karim A. Said, Lingjia Liu
2024 J jnl
Bayesian Inference-Assisted Machine Learning for Near Real-Time Jamming Detection and Classification in 5G New Radio (NR).
IEEE Trans. Wirel. Commun.
Shashank Jere, Ying Wang, Ishan Aryendu, Shehadi Dayekh, Lingjia Liu
2024 J jnl
Learning at the Speed of Wireless: Online Real-Time Learning for AI-Enabled MIMO in NextG.
CoRR
Jiarui Xu, Shashank Jere, Yifei Song, Yi-Hung Kao, Lizhong Zheng, Lingjia Liu
2024 J jnl
Towards xAI: Configuring RNN Weights using Domain Knowledge for MIMO Receive Processing.
CoRR
Shashank Jere, Lizhong Zheng, Karim A. Said, Lingjia Liu
2023 J jnl
Anonymous Jamming Detection in 5G with Bayesian Network Model Based Inference Analysis.
CoRR
Ying Wang, Shashank Jere, Soumya Banerjee, Lingjia Liu, Sachin Shetty, Shehadi Dayekh
2023 J jnl
Channel Equalization Through Reservoir Computing: A Theoretical Perspective.
IEEE Wirel. Commun. Lett.
Shashank Jere, Ramin Safavinejad, Lizhong Zheng, Lingjia Liu
2023 J jnl
Distributed Learning Meets 6G: A Communication and Computing Perspective.
CoRR
Shashank Jere, Yifei Song, Yang Yi, Lingjia Liu
2023 J jnl
Distributed Learning Meets 6G: A Communication and Computing Perspective.
IEEE Wirel. Commun.
Shashank Jere, Yifei Song, Yang Yi, Lingjia Liu
2023 J jnl
Performance Analysis and Optimization for Layer-Based Scalable Video Caching in 6G Networks.
IEEE/ACM Trans. Netw.
Junchao Ma, Lingjia Liu, Bodong Shang, Shashank Jere, Pingzhi Fan
2023 J jnl
Theoretical Foundation and Design Guideline for Reservoir Computing-Based MIMO-OFDM Symbol Detection.
IEEE Trans. Commun.
Shashank Jere, Ramin Safavinejad, Lingjia Liu
2023 — conf
Towards Explainable Machine Learning: The Effectiveness of Reservoir Computing in Wireless Receive Processing.
MILCOM
Shashank Jere, Karim A. Said, Lizhong Zheng, Lingjia Liu
2023 J jnl
Towards Explainable Machine Learning: The Effectiveness of Reservoir Computing in Wireless Receive Processing.
CoRR
Shashank Jere, Karim A. Said, Lizhong Zheng, Lingjia Liu
2023 J jnl
Universal Approximation of Linear Time-Invariant (LTI) Systems through RNNs: Power of Randomness in Reservoir Computing.
CoRR
Shashank Jere, Lizhong Zheng, Karim A. Said, Lingjia Liu
2022 C conf
Anonymous Jamming Detection in 5G with Bayesian Network Model Based Inference Analysis.
HPSR
Ying Wang, Shashank Jere, Soumya Banerjee, Lingjia Liu, Sachin Shetty, Shehadi Dayekh
2022 — conf
Error bound characterization for reservoir computing-based OFDM symbol detection.
ICC
Shashank Jere, Hussein Metwaly Saad, Lingjia Liu
2021 Misc conf
Edge Intelligence for Beyond-5G through Federated Learning.
SEC
Shashank Jere, Yang Yi
2021 J jnl
Federated Dynamic Spectrum Access.
CoRR
Yifei Song, Hao-Hsuan Chang, Zhou Zhou, Shashank Jere, Lingjia Liu
2021 J jnl
RCNet: Incorporating Structural Information Into Deep RNN for Online MIMO-OFDM Symbol Detection With Limited Training.
IEEE Trans. Wirel. Commun.
Zhou Zhou, Lingjia Liu, Shashank Jere, Jianzhong Zhang, Yang Yi
2020 J jnl
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G.
CoRR
Shashank Jere, Qiang Fan, Bodong Shang, Lianjun Li, Lingjia Liu
2020 J jnl
Learning for Integer-Constrained Optimization through Neural Networks with Limited Training.
CoRR
Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu
2020 Misc conf
Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection.
ACSSC
Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu
2020 J jnl
Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection.
CoRR
Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu
2020 J jnl
Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Kangjun Bai, Yang Yi, Zhou Zhou, Shashank Jere, Lingjia Liu
2020 J jnl
RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training.
CoRR
Zhou Zhou, Lingjia Liu, Shashank Jere, Jianzhong Zhang, Yang Yi
2014 C conf
Extracting commuting patterns in railway networks through matrix decompositions.
ICARCV
Shashank Jere, Justin Dauwels, Muhammad Tayyab Asif, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet