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RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection


Oct 03, 2021
Jiarui Xu, Zhou Zhou, Lianjun Li, Lizhong Zheng, Lingjia Liu

* 30 pages, 17 figures, journal submission 

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Learning to Equalize OTFS


Jul 17, 2021
Zhou Zhou, Lingjia Liu, Jiarui Xu, Robert Calderbank


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Federated Dynamic Spectrum Access


Jun 28, 2021
Yifei Song, Hao-Hsuan Chang, Zhou Zhou, Shashank Jere, Lingjia Liu


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Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning


Jun 06, 2021
Kian Hamedani, Lingjia Liu, Jithin Jagannath, Yang, Yi

* Accepted to ACM Workshop on Wireless Security and Machine Learning (WiseML) 2021 

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UAV Swarm-Enabled Aerial Reconfigurable Intelligent Surface


Mar 10, 2021
Bodong Shang, Rubayet Shafin, Lingjia Liu


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Towards Intelligent RAN Slicing for B5G: Opportunities and Challenges


Feb 27, 2021
EmadElDin A Mazied, Lingjia Liu, Scott F. Midkiff

* 9 pages, 5 figures, 1 table, 15 references, Magazine article 

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Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing


Feb 06, 2021
Zhou Zhou, Kangjun Bai, Nima Mohammadi, Yang Yi, Lingjia Liu


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Differential Privacy Meets Federated Learning under Communication Constraints


Jan 28, 2021
Nima Mohammadi, Jianan Bai, Qiang Fan, Yifei Song, Yang Yi, Lingjia Liu

* 11 pages, 4 figures 

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Harnessing Tensor Structures -- Multi-Mode Reservoir Computing and Its Application in Massive MIMO


Jan 25, 2021
Zhou Zhou, Lingjia Liu, Jiarui Xu


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To Talk or to Work: Energy Efficient Federated Learning over Mobile Devices via the Weight Quantization and 5G Transmission Co-Design


Dec 21, 2020
Rui Chen, Liang Li, Kaiping Xue, Chi Zhang, Lingjia Liu, Miao Pan

* submitted to MOBIHOC 

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Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection


Dec 03, 2020
Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu

* 2020 IEEE Asilomar Conference on Signals, Systems, and Computers 

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Pareto Deterministic Policy Gradients and Its Application in 5G Massive MIMO Networks


Dec 02, 2020
Zhou Zhou, Yan Xin, Hao Chen, Charlie Zhang, Lingjia Liu


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Learning for Integer-Constrained Optimization through Neural Networks with Limited Training


Nov 10, 2020
Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu


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Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond


Oct 12, 2020
Hao-Hsuan Chang, Lingjia Liu, Yang Yi

* This work is accepted in IEEE Transactions on Neural Networks and Learning Systems 

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Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G


Jul 15, 2020
Shashank Jere, Qiang Fan, Bodong Shang, Lianjun Li, Lingjia Liu


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Delay-aware Resource Allocation in Fog-assisted IoT Networks Through Reinforcement Learning


Apr 30, 2020
Qiang Fan, Jianan Bai, Hongxia Zhang, Yang Yi, Lingjia Liu


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RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training


Mar 15, 2020
Zhou Zhou, Lingjia Liu, Shashank Jere, Jianzhong, Zhang, Yang Yi


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Learn to Demodulate: MIMO-OFDM Symbol Detection through Downlink Pilots


Jun 25, 2019
Zhou Zhou, Lingjia Liu, Hao-Hsuan Chang


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Big Data Meet Cyber-Physical Systems: A Panoramic Survey


Oct 29, 2018
Rachad Atat, Lingjia Liu, Jinsong Wu, Guangyu Li, Chunxuan Ye, Yang Yi


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Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach


Oct 28, 2018
Hao-Hsuan Chang, Hao Song, Yang Yi, Jianzhong Zhang, Haibo He, Lingjia Liu

* This work is accepted in IEEE IoT Journal 2018 

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