Shashank Jere

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 22

Top Topics

Distributed Learning

Reservoir Computing

Bayesian Inference

Structural Information

Top Venues

IEEE Trans. Wirel. Commun.

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

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) (2024)
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 (2024)
Shashank Jere, Ramin Safavinejad, Lizhong Zheng, Lingjia Liu
Channel Equalization Through Reservoir Computing: A Theoretical Perspective. IEEE Wirel. Commun. Lett. 12 (5) (2023)
Shashank Jere, Karim Said, Lizhong Zheng, Lingjia Liu
Towards Explainable Machine Learning: The Effectiveness of Reservoir Computing in Wireless Receive Processing. CoRR (2023)
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 (2023)
Shashank Jere, Yifei Song, Yang Yi, Lingjia Liu
Distributed Learning Meets 6G: A Communication and Computing Perspective. IEEE Wirel. Commun. 30 (1) (2023)
Shashank Jere, Yifei Song, Yang Yi, Lingjia Liu
Distributed Learning Meets 6G: A Communication and Computing Perspective. CoRR (2023)
Shashank Jere, Karim Said, Lizhong Zheng, Lingjia Liu
Towards Explainable Machine Learning: The Effectiveness of Reservoir Computing in Wireless Receive Processing. MILCOM (2023)
Shashank Jere, Ramin Safavinejad, Lingjia Liu
Theoretical Foundation and Design Guideline for Reservoir Computing-Based MIMO-OFDM Symbol Detection. IEEE Trans. Commun. 71 (9) (2023)
Shashank Jere, Lizhong Zheng, Karim Said, Lingjia Liu
Universal Approximation of Linear Time-Invariant (LTI) Systems through RNNs: Power of Randomness in Reservoir Computing. CoRR (2023)
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) (2023)
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)
Shashank Jere, Hussein Metwaly Saad, Lingjia Liu
Error bound characterization for reservoir computing-based OFDM symbol detection. ICC (2022)
Yifei Song, Hao-Hsuan Chang, Zhou Zhou, Shashank Jere, Lingjia Liu
Federated Dynamic Spectrum Access. CoRR (2021)
Shashank Jere, Yang Yi
Edge Intelligence for Beyond-5G through Federated Learning. SEC (2021)
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) (2021)
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) (2020)
Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu
Learning for Integer-Constrained Optimization through Neural Networks with Limited Training. CoRR (2020)
Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu
Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection. CoRR (2020)
Shashank Jere, Qiang Fan, Bodong Shang, Lianjun Li, Lingjia Liu
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G. CoRR (2020)
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 (2020)
Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu
Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection. ACSSC (2020)
Shashank Jere, Justin Dauwels, Muhammad Tayyab Asif, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet
Extracting commuting patterns in railway networks through matrix decompositions. ICARCV (2014)