Lingjia Liu

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 228

Top Venues

CoRR

IEEE Trans. Wirel. Commun.

GLOBECOM

IEEE Trans. Commun.

Texas A&M University, College Station, USA (PHD)

Education History

Texas A&M University, College Station, USA

PHD

Publications

Mahfuzur Rahman, Md. Zoheb Hassan, Jeffrey H. Reed, Lingjia Liu
Non-Terrestrial Network (NTN): a Novel Alternate Fractional Programming for the Downlink Channels Power Allocation. CoRR (2024)
Jiarui Xu, Karim Said, Lizhong Zheng, Lingjia Liu
Neural Network-based Two-Dimensional Filtering for OTFS Symbol Detection. CoRR (2024)
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)
Shadab Mahboob, Lingjia Liu
Revolutionizing Future Connectivity: A Contemporary Survey on AI-Empowered Satellite-Based Non-Terrestrial Networks in 6G. IEEE Commun. Surv. Tutorials 26 (2) (2024)
Karim A. Said, A. A. Louis Beex, Lingjia Liu
Maximally Concentrated Sequences After Half-Sample Shifts. IEEE Signal Process. Lett. 31 (2024)
Bin Yu, Chen Qian, Peng Lin, Juho Lee, Qi Li, Seungil Park, Suhwook Kim, Changbae Yoon, Su Hu, Lingjia Liu
Light-Weight AI Enabled Non-Linearity Compensation Leveraging High Order Modulations. IEEE Trans. Commun. 72 (1) (2024)
Jiongyu Dai, Qiang Li, Haining Wang, Lingjia Liu
Understanding images of surveillance devices in the wild. Knowl. Based Syst. 284 (2024)
Jiarui Xu, Lianjun Li, Lizhong Zheng, Lingjia Liu
Detect to Learn: Structure Learning With Attention and Decision Feedback for MIMO-OFDM Receive Processing. IEEE Trans. Commun. 72 (1) (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)
Shiya Liu, Lingjia Liu, Yang Yi
Quantized Reservoir Computing for Spectrum Sensing With Knowledge Distillation. IEEE Trans. Cogn. Dev. Syst. 15 (1) (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)
Mahfuzur Rahman, Md. Zoheb Hassan, Jeffrey H. Reed, Lingjia Liu
Non-Terrestrial Network (NTN): a Novel Alternate Fractional Programming for the Downlink Channels Power Allocation. MILCOM (2023)
Hao-Hsuan Chang, Hao Chen, Jianzhong Zhang, Lingjia Liu
Decentralized Deep Reinforcement Learning Meets Mobility Load Balancing. IEEE/ACM Trans. Netw. 31 (2) (2023)
Bodong Shang, Elizabeth Serena Bentley, Lingjia Liu
UAV Swarm-Enabled Aerial Reconfigurable Intelligent Surface: Modeling, Analysis, and Optimization. IEEE Trans. Commun. 71 (6) (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)
Lianjun Li, Jiarui Xu, Lizhong Zheng, Lingjia Liu
Real-Time Machine Learning for Multi-User Massive MIMO: Symbol Detection Using Multi-Mode StructNet. IEEE Trans. Wirel. Commun. 22 (12) (2023)
Hao-Hsuan Chang, Yifei Song, Thinh T. Doan, Lingjia Liu
Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access. IEEE Trans. Wirel. Commun. 22 (8) (2023)
Shashank Jere, Karim Said, Lizhong Zheng, Lingjia Liu
Towards Explainable Machine Learning: The Effectiveness of Reservoir Computing in Wireless Receive Processing. MILCOM (2023)
Jiarui Xu, Karim Said, Lizhong Zheng, Lingjia Liu
2D-RC: Two-Dimensional Neural Network Approach for OTFS Symbol Detection. CoRR (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)
Wanshi Chen, Xingqin Lin, Juho Lee, Antti Toskala, Shu Sun, Carla-Fabiana Chiasserini, Lingjia Liu
5G-Advanced Toward 6G: Past, Present, and Future. IEEE J. Sel. Areas Commun. 41 (6) (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)
Jiarui Xu, Usama Saeed, Jonathan D. Ashdown, Lingjia Liu
Online Learning Meets Semantic Communication over Wireless Channels. MILCOM (2023)
Wanshi Chen, Xingqin Lin, Juho Lee, Antti Toskala, Shu Sun, Carla-Fabiana Chiasserini, Lingjia Liu
Guest Editorial Special Issue on 3GPP Technologies: 5G-Advanced and Beyond. IEEE J. Sel. Areas Commun. 41 (6) (2023)
Charles E. Thornton, Evan Allen, Evar Jones, Daniel Jakubisin, Fred Templin, Lingjia Liu
On the Role of 5G and Beyond Sidelink Communication in Multi-Hop Tactical Networks. CoRR (2023)
Wanshi Chen, Xingqin Lin, Juho Lee, Antti Toskala, Shu Sun, Carla-Fabiana Chiasserini, Lingjia Liu
5G-Advanced Towards 6G: Past, Present, and Future. 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)
Usama Saeed, Lingjia Liu, Kai Zeng, A. Robert Calderbank
Securing Wireless Channels: Reliable Shared Secret Extraction through OTFS. CNS (2022)
Jiarui Xu, Zhou Zhou, Lianjun Li, Lizhong Zheng, Lingjia Liu
RC-Struct: A Structure-Based Neural Network Approach for MIMO-OFDM Detection. IEEE Trans. Wirel. Commun. 21 (9) (2022)
Bodong Shang, H. Vincent Poor, Lingjia Liu
Aerial Reconfigurable Intelligent Surfaces Meet Mobile Edge Computing. IEEE Wirel. Commun. 29 (6) (2022)
Zhou Zhou, Kangjun Bai, Nima Mohammadi, Yang Yi, Lingjia Liu
Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing. IEEE Netw. 36 (2) (2022)
Zhou Zhou, Lingjia Liu, Jiarui Xu, A. Robert Calderbank
Learning to Equalize OTFS. IEEE Trans. Wirel. Commun. 21 (9) (2022)
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)
Lianjun Li, Lingjia Liu, Zhou Zhou, Yang Yi
Reservoir Computing Meets Extreme Learning Machine in Real-Time MIMO-OFDM Receive Processing. IEEE Trans. Commun. 70 (5) (2022)
Nima Mohammadi, Jianan Bai, Qiang Fan, Yifei Song, Yang Yi, Lingjia Liu
Differential Privacy Meets Federated Learning Under Communication Constraints. IEEE Internet Things J. 9 (22) (2022)
Hao-Hsuan Chang, Lingjia Liu, Jianan Bai, Alex Pidwerbetsky, Allan Berlinsky, Joe Huang, Jonathan D. Ashdown, Kurt A. Turck, Yang Yi
Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approach. IEEE Access 10 (2022)
Hao-Hsuan Chang, R. B. Sai Sree, Hao Chen, Jianzhong Zhang, Lingjia Liu
MADRL Based Scheduling for 5G and Beyond. MILCOM (2022)
Hongyu An, Mohammad Shah Al-Mamun, Marius K. Orlowski, Lingjia Liu, Yang Yi
Three-Dimensional Neuromorphic Computing System With Two-Layer and Low-Variation Memristive Synapses. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (3) (2022)
Shashank Jere, Hussein Metwaly Saad, Lingjia Liu
Error bound characterization for reservoir computing-based OFDM symbol detection. ICC (2022)
Hao-Hsuan Chang, Lingjia Liu, Yang Yi
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Yibin Liang, Lianjun Li, Yang Yi, Lingjia Liu
Real-time Machine Learning for Symbol Detection in MIMO-OFDM Systems. INFOCOM (2022)
Nima Mohammadi, Lingjia Liu, Yang Yi
Policy-based Fully Spiking Reservoir Computing for Multi-Agent Distributed Dynamic Spectrum Access. ICC (2022)
Zheng Wang, Lingjia Liu, Yang Yi, A. Robert Calderbank, Jianzhong Zhang
Low-Complexity Channel Matrix Calculation for OTFS Systems with Fractional Delay and Doppler. MILCOM (2022)
Lianjun Li, Jiarui Xu, Lingjia Liu
Real-Time Symbol Detection For Massive MIMO Systems With Multi-Mode Reservoir Computing. ICC (2022)
Javad Sabzehali, Vijay K. Shah, Qiang Fan, Biplav Choudhury, Lingjia Liu, Jeffrey H. Reed
Optimizing Number, Placement, and Backhaul Connectivity of Multi-UAV Networks. IEEE Internet Things J. 9 (21) (2022)
Nan Qu, Bingbing Li, Rubayet Shafin Bradley Shafin, Mingqian Liu, Fengkui Gong, Lingjia Liu
Angle-Based Downlink Beam Selection and User Scheduling for Massive MIMO Systems. IEEE Trans. Wirel. Commun. 21 (10) (2022)
Zhou Zhou, Lingjia Liu, Jiarui Xu
Harnessing Tensor Structures - Multi-Mode Reservoir Computing and Its Application in Massive MIMO. IEEE Trans. Wirel. Commun. 21 (10) (2022)
Yifei Song, Hao-Hsuan Chang, Lingjia Liu
Federated Dynamic Spectrum Access through Multi-Agent Deep Reinforcement Learning. GLOBECOM (2022)
Qiang Fan, Jianan Bai, Hongxia Zhang, Yang Yi, Lingjia Liu
Delay-Aware Resource Allocation in Fog-Assisted IoT Networks Through Reinforcement Learning. IEEE Internet Things J. 9 (7) (2022)
Jiarui Xu, Lianjun Li, Lizhong Zheng, Lingjia Liu
Learn to Detect and Detect to Learn: Structure Learning and Decision Feedback for MIMO-OFDM Receive Processing. CoRR (2022)
Javad Sabzehali, Vijay K. Shah, Qiang Fan, Biplav Choudhury, Lingjia Liu, Jeffrey H. Reed
Optimizing Number, Placement, and Backhaul Connectivity of Multi-UAV Networks. CoRR (2021)
Bodong Shang, Lingjia Liu, Hao Song, Bowen Xu, Scott Pudlewski, Elizabeth Serena Bentley
Trade-Offs in Reliability, Latency, and Energy for Random Network Coding-Enabled Networks. IEEE Commun. Lett. 25 (8) (2021)
EmadelDin A. Mazied, Lingjia Liu, Scott F. Midkiff
Towards Intelligent RAN Slicing for B5G: Opportunities and Challenges. CoRR (2021)
Junchao Ma, Bodong Shang, Lingjia Liu, Cheng Zhang, Pingzhi Fan
Cooperative Caching in HetNets With Mutual Information Accumulation. IEEE Netw. Lett. 3 (3) (2021)
Jiarui Xu, Zhou Zhou, Lianjun Li, Lizhong Zheng, Lingjia Liu
RC-Struct: Reservoir Computing Meets Knowledge of Structure in MIMO-OFDM. GLOBECOM (Workshops) (2021)
Jianan Bai, Hao Song, Yang Yi, Lingjia Liu
Multiagent Reinforcement Learning Meets Random Access in Massive Cellular Internet of Things. IEEE Internet Things J. 8 (24) (2021)
Yifei Song, Hao-Hsuan Chang, Zhou Zhou, Shashank Jere, Lingjia Liu
Federated Dynamic Spectrum Access. CoRR (2021)
Hao Song, Lingjia Liu, Jonathan D. Ashdown, Yang Yi
A Deep Reinforcement Learning Framework for Spectrum Management in Dynamic Spectrum Access. IEEE Internet Things J. 8 (14) (2021)
Hao Song, Lingjia Liu, Bodong Shang, Scott Pudlewski, Elizabeth Serena Bentley
Clustering-based Multicast Scheme for UAV Networks. CoRR (2021)
Jiarui Xu, Zhou Zhou, Lianjun Li, Lizhong Zheng, Lingjia Liu
RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection. CoRR (2021)
Victor M. Gan, Yibin Liang, Lianjun Li, Lingjia Liu, Yang Yi
A Cost-Efficient Digital ESN Architecture on FPGA for OFDM Symbol Detection. ACM J. Emerg. Technol. Comput. Syst. 17 (4) (2021)
Bodong Shang, Rubayet Shafin Bradley Shafin, Lingjia Liu
UAV Swarm-Enabled Aerial Reconfigurable Intelligent Surface (SARIS). IEEE Wirel. Commun. 28 (5) (2021)
Hongyu An, Mohammad Shah Al-Mamun, Marius Orlowski, Lingjia Liu, Yang Yi
Robust Deep Reservoir Computing Through Reliable Memristor With Improved Heat Dissipation Capability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (3) (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)
Nima Mohammadi, Jianan Bai, Qiang Fan, Yifei Song, Yang Yi, Lingjia Liu
Differential Privacy Meets Federated Learning under Communication Constraints. CoRR (2021)
Bodong Shang, Yang Yi, Lingjia Liu
Computing over Space-Air-Ground Integrated Networks: Challenges and Opportunities. IEEE Netw. 35 (4) (2021)
Osaze Shears, Kangjun Bai, Lingjia Liu, Yang Yi
A Hybrid FPGA-ASIC Delayed Feedback Reservoir System to Enable Spectrum Sensing/Sharing for Low Power IoT Devices ICCAD Special Session Paper. ICCAD (2021)
Junchao Ma, Lingjia Liu, Hao Song, Pingzhi Fan
On the Fundamental Tradeoffs Between Video Freshness and Video Quality in Real-Time Applications. IEEE Internet Things J. 8 (3) (2021)
Bodong Shang, Lingjia Liu, Zhi Tian
Deep Learning-Assisted Energy-Efficient Task Offloading in Vehicular Edge Computing Systems. IEEE Trans. Veh. Technol. 70 (9) (2021)
Hao Song, Lingjia Liu, Ananth Balasubramanian
Efficient Data Exchange in Unmanned Aerial Vehicle Networks Utilizing Unsupervised Learning-Based Clustering. CoRR (2021)
Kian Hamedani, Lingjia Liu, Jithin Jagannath, Yang Yi
Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning. CoRR (2021)
Kian Hamedani, Lingjia Liu, Yang Yi
Energy Efficient MIMO-OFDM Spectrum Sensing Using Deep Stacked Spiking Delayed Feedback Reservoir Computing. IEEE Trans. Green Commun. Netw. 5 (1) (2021)
Kian Hamedani, Lingjia Liu, Jithin Jagannath, Yang Cindy Yi
Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning. WiseML@WiSec (2021)
Zhou Zhou, Kangjun Bai, Nima Mohammadi, Yang Yi, Lingjia Liu
Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing. CoRR (2021)
Hao Song, Lingjia Liu, Bodong Shang, Scott Pudlewski, Elizabeth Serena Bentley
Enhanced Flooding-Based Routing Protocol for Swarm UAV Networks: Random Network Coding Meets Clustering. INFOCOM (2021)
Zhou Zhou, Lingjia Liu, Jiarui Xu
Harnessing Tensor Structures - Multi-Mode Reservoir Computing and Its Application in Massive MIMO. CoRR (2021)
Kangjun Bai, Lingjia Liu, Yang Yi
Spatial-Temporal Hybrid Neural Network With Computing-in-Memory Architecture. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (7) (2021)
Nan Qu, Lingjia Liu, Rubayet Shafin Bradley Shafin, Bingbing Li, Mingqian Liu, Fengkui Gong
Interference Alignment Meets Multi-Cell Multi-User Massive FD-MIMO Systems in DoA-Based Precoding. IEEE Trans. Wirel. Commun. 20 (11) (2021)
Zhou Zhou, Lingjia Liu, Vikram Chandrasekhar, Jianzhong Zhang, Yang Yi
Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection. AAAI (2020)
Kangjun Bai, Lingjia Liu, Zhou Zhou, Yang Yi
Detection Through Deep Neural Networks: A Reservoir Computing Approach for MIMO-OFDM Symbol Detection. ICCAD (2020)
Lianjun Li, Lingjia Liu, Jianzhong Charlie Zhang, Jonathan D. Ashdown, Yang Yi
Reservoir Computing Meets Wi-Fi in Software Radios: Neural Network-based Symbol Detection using Training Sequences and Pilots. WOCC (2020)
Rubayet Shafin Bradley Shafin, Lingjia Liu, Vikram Chandrasekhar, Hao Chen, Jeffrey H. Reed, Jianzhong Charlie Zhang
Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G. IEEE Wirel. Commun. 27 (2) (2020)
Bodong Shang, Shiya Liu, Sidi Lu, Yang Yi, Weisong Shi, Lingjia Liu
A Cross-Layer Optimization Framework for Distributed Computing in IoT Networks. SEC (2020)
He Jiang, Haibo He, Lingjia Liu
Dynamic Spectrum Access for Femtocell Networks: A Graph Neural Network Based Learning Approach. ICNC (2020)
Bodong Shang, Lingjia Liu
Mobile-Edge Computing in the Sky: Energy Optimization for Air-Ground Integrated Networks. IEEE Internet Things J. 7 (8) (2020)
He Jiang, Lusi Li, Haibo He, Lingjia Liu
Evolutionary Search for Energy-Efficient Distributed Cooperative Spectrum Sensing. ICNC (2020)
Aly Sabri Abdalla, Bodong Shang, Vuk Marojevic, Lingjia Liu
Securing Mobile IoT with Unmanned Aerial Systems. WF-IoT (2020)
Kian Hamedani, Lingjia Liu, Shiya Liu, Haibo He, Yang Yi
Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing. AAAI (2020)
Zhou Zhou, Lingjia Liu, Hao-Hsuan Chang
Learning for Detection: MIMO-OFDM Symbol Detection Through Downlink Pilots. IEEE Trans. Wirel. Commun. 19 (6) (2020)
Bodong Shang, Lingjia Liu, Raghunandan M. Rao, Vuk Marojevic, Jeffrey H. Reed
3D Spectrum Sharing for Hybrid D2D and UAV Networks. IEEE Trans. Commun. 68 (9) (2020)
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)
Siyu Liao, Chunhua Deng, Yi Xie, Lingjia Liu, Bo Yuan
Low-complexity Neural Network-based MIMO Detector using Permuted Diagonal Matrix. ACSSC (2020)
Bodong Shang, Lingjia Liu, Hao Chen, Charlie Jianzhong Zhang, Scott Pudlewski, Elizabeth Serena Bentley, Jonathan D. Ashdown
Spatial Spectrum Sensing in Uplink Two-Tier User-Centric Deployed HetNets. IEEE Trans. Wirel. Commun. 19 (12) (2020)
Hao-Hsuan Chang, Lingjia Liu, Yang Yi
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond. CoRR (2020)
Kangjun Bai, Qiyuan An, Lingjia Liu, Yang Yi
A Training-Efficient Hybrid-Structured Deep Neural Network With Reconfigurable Memristive Synapses. IEEE Trans. Very Large Scale Integr. Syst. 28 (1) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lingjia Liu