Optimal fusion scheme in wireless sensor networks under sum-rate capacity constraint. - Fang Yi; Yang Yi 002; Lingjia Liu 001 (CISS, 2010)

Capacity of Multicarrier Multilayer Broadcast and Unicast Hybrid Cellular System with Independent Channel Coding over Subcarriers. - Siqian Liu; Hongxiang Li; Guanying Ru; Weiyao Lin; Lingjia Liu 001; Yang Yi 002 (VTC Fall, 2011)

Combating Interference: MU-MIMO, CoMP, and HetNet (Invited Paper). - Lingjia Liu 001; Jianzhong (Charlie) Zhang; Yang Yi 002; Hongxiang Li; Jinyun Zhang (J. Commun., 2012)

Adaptive resource allocation for heterogeneous traffic over heterogeneous relay networks. - Yan Li; Lingjia Liu 001; Hongxiang Li; Ying Li; Yang Yi 002 (ICC, 2013)

Modeling and characterizing GPGPU reliability in the presence of soft errors. - Jingweijia Tan; Yang Yi 002; Fangyang Shen; Xin Fu (Parallel Comput., 2013)

Energy-Efficient Power Allocation for Delay-Sensitive Multimedia Traffic Over Wireless Systems. - Lingjia Liu 001; Yang Yi 002; Jean-François Chamberland; Jianzhong Zhang 002 (IEEE Trans. Veh. Technol., 2014)

Channel estimation in wireless OFDM systems using reservoir computing. - Wafi Danesh; Chenyuan Zhao; Bryant T. Wysocki; Michael J. Medley; Ngwe Thawdar; Yang Yi 002 (CISDA, 2015)

Neuromorphic encoding system design with chaos based CMOS analog neuron. - Chenyuan Zhao; Wafi Danesh; Bryant T. Wysocki; Yang Yi 002 (CISDA, 2015)

Three Dimensional Integration Technology Applied to Neuromorphic Hardware Implementation. - M. Amimul Ehsan; Zhen Zhou; Yang Yi 002 (iNIS, 2015)

Spike-Time-Dependent Encoding for Neuromorphic Processors. - Chenyuan Zhao; Bryant T. Wysocki; Yifang Liu; Clare Thiem; Nathan R. McDonald; Yang Yi 002 (ACM J. Emerg. Technol. Comput. Syst., 2015)

Resource Allocation for Delay-Sensitive Traffic Over LTE-Advanced Relay Networks. - Yan Li; Lingjia Liu 001; Hongxiang Li; Jianzhong Zhang 002; Yang Yi 002 (IEEE Trans. Wirel. Commun., 2015)

Cooperative Retransmission for Massive MTC under Spatiotemporally Correlated Interference. - Hao Chen 010; Lingjia Liu 001; Nicholas Mastronarde; Liangping Ma; Yang Yi 002 (GLOBECOM, 2016)

Improving Spectral Efficiency of D2D Cellular Networks through RF Energy Harvesting. - Rachad Atat; Lingjia Liu 001; Jonathan D. Ashdown; Michael J. Medley; John D. Matyjas; Yang Yi 002 (GLOBECOM, 2016)

Privacy Protection Scheme for eHealth Systems: A Stochastic Geometry Approach. - Rachad Atat; Lingjia Liu 001; Yang Yi 002 (GLOBECOM, 2016)

Coordinated Data Assignment: A Novel Scheme for Big Data over Cached Cloud-RAN. - Susanna Mosleh; Lingjia Liu 001; Hongyan Hou; Yang Yi 002 (GLOBECOM, 2016)

Making neural encoding robust and energy efficient: an advanced analog temporal encoder for brain-inspired computing systems. - Chenyuan Zhao; Jialing Li; Yang Yi 002 (ICCAD, 2016)

An energy efficient decoding scheme for nonlinear MIMO-OFDM network using reservoir computing. - Susanna Mosleh; Cenk Sahin; Lingjia Liu 001; R. Y. Zheng; Yang Yi 002 (IJCNN, 2016)

Design challenges and methodologies in 3D integration for neuromorphic computing systems. - M. Amimul Ehsan; Hongyu An; Zhen Zhou; Yang Yi 002 (ISQED, 2016)

Performance Analysis on Nano-Networks: A Stochastic Geometry Approach. - Hao Chen 010; Rubayet Shafin Bradley Shafin; Rachad Atat; Yang Yi 002; Lingjia Liu 001 (NANOCOM, 2016)

Novel Spike based Reservoir Node Design with High Performance Spike Delay Loop. - Chenyuan Zhao; Jialing Li; Lingjia Liu 001; Lakshmi Sravanthi Koutha; Jian Liu; Yang Yi 002 (NANOCOM, 2016)

Low power CMOS power amplifier design for RFID and the Internet of Things. - Chenyuan Zhao; Jian Liu; Fangyang Shen; Yang Yi 002 (Comput. Electr. Eng., 2016)

FPGA based spike-time dependent encoder and reservoir design in neuromorphic computing processors. - Yang Yi 002; Yongbo Liao; Bin Wang; Xin Fu; Fangyang Shen; Hongyan Hou; Lingjia Liu 001 (Microprocess. Microsystems, 2016)

Energy Efficient Spiking Temporal Encoder Design for Neuromorphic Computing Systems. - Chenyuan Zhao; Bryant T. Wysocki; Clare D. Thiem; Nathan R. McDonald; Jialing Li; Lingjia Liu 001; Yang Yi 002 (IEEE Trans. Multi Scale Comput. Syst., 2016)

Mitigating the Impact of Hardware Variability for GPGPUs Register File. - Jingweijia Tan; Mingsong Chen 001; Yang Yi 002; Xin Fu (IEEE Trans. Parallel Distributed Syst., 2016)

Adaptation of Enhanced TSV Capacitance as Membrane Property in 3D Brain-inspired Computing System. - M. Amimul Ehsan; Hongyu An; Zhen Zhou; Yang Yi 002 (DAC, 2017)

Neuromorphic 3D Integrated Circuit: A Hybrid, Reliable and Energy Efficient Approach for Next Generation Computing. - Md. Amimul Ehsan; Zhen Zhou; Yang Yi 002 (ACM Great Lakes Symposium on VLSI, 2017)

Analog hardware implementation of spike-based delayed feedback reservoir computing system. - Jialing Li; Chenyuan Zhao; Kian Hamedani; Yang Yi 002 (IJCNN, 2017)

Electrical modeling and analysis of 3D synaptic array using vertical RRAM structure. - Hongyu An; M. Amimul Ehsan; Zhen Zhou; Yang Yi 002 (ISQED, 2017)

Energy efficient analog spiking temporal encoder with verification and recovery scheme for neuromorphic computing systems. - Chenyuan Zhao; Jialing Li; Hongyu An; Yang Yi 002 (ISQED, 2017)

3D memristor-based adjustable deep recurrent neural network with programmable attention mechanism. - Hongyu An; Zhen Zhou; Yang Yi 002 (NCS, 2017)

Hybrid three-dimensional integrated circuits: A viable solution for high efficiency Neuromorphic Computing. - M. Amimul Ehsan; Zhen Zhou; Yang Yi 002 (VLSI-DAT, 2017)

Three dimensional memristor-based neuromorphic computing system and its application to cloud robotics. - Hongyu An; Jialing Li; Ying Li; Xin Fu; Yang Yi 002 (Comput. Electr. Eng., 2017)

Enabling cyber-physical communication in 5G cellular networks: challenges, spatial spectrum sensing, and cyber-security. - Rachad Atat; Lingjia Liu 001; Hao Chen 010; Jinsong Wu 001; Hongxiang Li; Yang Yi 002 (IET Cyper-Phys. Syst.: Theory & Appl., 2017)

Emerging technology enabled energy-efficient GPGPUs register file. - Chenhao Xie 001; Jingweijia Tan; Mingsong Chen 001; Yang Yi 002; Lu Peng 001; Xin Fu (Microprocess. Microsystems, 2017)

Energy Harvesting-Based D2D-Assisted Machine-Type Communications. - Rachad Atat; Lingjia Liu 001; Nicholas Mastronarde; Yang Yi 002 (IEEE Trans. Commun., 2017)

Interspike-Interval-Based Analog Spike-Time-Dependent Encoder for Neuromorphic Processors. - Chenyuan Zhao; Yang Yi 002; Jialing Li; Xin Fu; Lingjia Liu 001 (IEEE Trans. Very Large Scale Integr. Syst., 2017)

Enabling a new era of brain-inspired computing: energy-efficient spiking neural network with ring topology. - Kangjun Bai; Jialing Li; Kian Hamedani; Yang Yi 002 (DAC, 2018)

Realizing Green Symbol Detection via Reservoir Computing: An Energy-Efficiency Perspective. - Rubayet Shafin Bradley Shafin; Lingjia Liu 001; Jonathan D. Ashdown; John D. Matyjas; Michael J. Medley; Bryant T. Wysocki; Yang Yi 002 (ICC, 2018)

Q-Learning for Non-Cooperative Channel Access Game of Cognitive Radio Networks. - He Jiang 004; Haibo He; Lingjia Liu 001; Yang Yi 002 (IJCNN, 2018)

A deep learning based approach for analog hardware implementation of delayed feedback reservoir computing system. - Jialing Li; Kangjun Bai; Lingjia Liu 001; Yang Yi 002 (ISQED, 2018)

Big Data Meet Cyber-Physical Systems: A Panoramic Survey. - Rachad Atat; Lingjia Liu 001; Jinsong Wu 001; Guangyu Li; Chunxuan Ye; Yang Yi 002 (IEEE Access, 2018)

Analog Spike-Timing-Dependent Resistive Crossbar Design for Brain Inspired Computing. - Chenyuan Zhao; Kian Hamedani; Jialing Li; Yang Yi 002 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

A Physical Layer Security Scheme for Mobile Health Cyber-Physical Systems. - Rachad Atat; Lingjia Liu 001; Jonathan D. Ashdown; Michael J. Medley; John D. Matyjas; Yang Yi 002 (IEEE Internet Things J., 2018)

DFR: An Energy-efficient Analog Delay Feedback Reservoir Computing System for Brain-inspired Computing. - Kangjun Bai; Yang Yi 002 (ACM J. Emerg. Technol. Comput. Syst., 2018)

Neuromorphic and cognitive computing and communication in hardware. - Yang Cindy Yi; Dhireesha Kudithipudi (Nano Commun. Networks, 2018)

A Novel Approach for Using TSVs As Membrane Capacitance in Neuromorphic 3-D IC. - M. Amimul Ehsan; Hongyu An; Zhen Zhou; Yang Yi 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Reservoir Computing Meets Smart Grids: Attack Detection Using Delayed Feedback Networks. - Kian Hamedani; Lingjia Liu 001; Rachad Atat; Jinsong Wu 001; Yang Yi 002 (IEEE Trans. Ind. Informatics, 2018)

Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM. - Somayeh Mosleh; Lingjia Liu 001; Cenk Sahin; Yahong Rosa Zheng; Yang Yi 002 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Enabling Sustainable Cyber Physical Security Systems through Neuromorphic Computing. - Jialing Li; Lingjia Liu 001; Chenyuan Zhao; Kian Hamedani; Rachad Atat; Yang Yi 002 (IEEE Trans. Sustain. Comput., 2018)

Distributed MIMO Precoding for In-Band Full-Duplex Wireless Backhaul in Heterogeneous Networks. - Yi Li 009; Pingzhi Fan; Lingjia Liu 001; Yang Yi 002 (IEEE Trans. Veh. Technol., 2018)

Deep-DFR: A Memristive Deep Delayed Feedback Reservoir Computing System with Hybrid Neural Network Topology. - Kangjun Bai; Qiyuan An; Yang Yi 002 (DAC, 2019)

High speed and energy efficient deep neural network for edge computing. - Kangjun Bai; Shiya Liu; Yang Yi 002 (SEC, 2019)

Maximizing System Throughput in D2D Networks Using Alternative DC Programming. - Hao-Hsuan Chang; Lingjia Liu 001; Hao Song 001; Alex Pidwerbetsky; Allan Berlinsky; Jonathan D. Ashdown; Kurt A. Turck; Yang Yi 002 (GLOBECOM, 2019)

Design and Analysis of Real Time Spiking Neural Network Decoder for Neuromorphic Chips. - Chenyuan Zhao; Lingjia Liu 001; Yang Yi 002 (ICONS, 2019)

Deep Q-Network Based Power Allocation Meets Reservoir Computing in Distributed Dynamic Spectrum Access Networks. - Hao Song 001; Lingjia Liu 001; Hao-Hsuan Chang; Jonathan D. Ashdown; Yang Yi 002 (INFOCOM Workshops, 2019)

Monolithic 3D neuromorphic computing system with hybrid CMOS and memristor-based synapses and neurons. - Hongyu An; M. Amimul Ehsan; Zhen Zhou; Fangyang Shen; Yang Yi 002 (Integr., 2019)

Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach. - Hao-Hsuan Chang; Hao Song 001; Yang Yi 002; Jianzhong Zhang 002; Haibo He; Lingjia Liu 001 (IEEE Internet Things J., 2019)

Green Massive Traffic Offloading for Cyber-Physical Systems over Heterogeneous Cellular Networks. - Rachad Atat; Lingjia Liu 001; Jinsong Wu 001; Jonathan D. Ashdown; Yang Yi 002 (Mob. Networks Appl., 2019)

QoS-Aware D2D Cellular Networks With Spatial Spectrum Sensing: A Stochastic Geometry View. - Hao Chen 010; Lingjia Liu 001; Harpreet S. Dhillon; Yang Yi 002 (IEEE Trans. Commun., 2019)

Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing. - Kian Hamedani; Lingjia Liu 001; Shiya Liu; Haibo He; Yang Yi 002 (AAAI, 2020)

Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection. - Zhou Zhou 002; Lingjia Liu 001; Vikram Chandrasekhar; Jianzhong Zhang 002; Yang Yi 002 (AAAI, 2020)

Recent Advances in Reservoir Computing With A Focus on Electronic Reservoirs. - Fabiha Nowshin; Yuhao Zhang; Lingjia Liu 001; Yang Yi 002 (IGSC (Workshops), 2020)

Detection Through Deep Neural Networks: A Reservoir Computing Approach for MIMO-OFDM Symbol Detection. - Kangjun Bai; Lingjia Liu 001; Zhou Zhou 002; Yang Yi 002 (ICCAD, 2020)

Quantized Reservoir Computing on Edge Devices for Communication Applications. - Shiya Liu; Lingjia Liu 001; Yang Yi 002 (SEC, 2020)

A Cross-Layer Optimization Framework for Distributed Computing in IoT Networks. - Bodong Shang; Shiya Liu; Sidi Lu; Yang Yi 002; Weisong Shi; Lingjia Liu 001 (SEC, 2020)

Deep Neural Network Based Speech Recognition Systems Under Noise Perturbations. - Qiyuan An; Kangjun Bai; Moqi Zhang; Yang Yi 002; Yifang Liu (ISQED, 2020)

Accurate and Efficient Quantized Reservoir Computing System. - Shiya Liu; Yibin Liang; Victor M. Gan; Lingjia Liu 001; Yang Yi 002 (ISQED, 2020)

Energy Efficient and Adaptive Analog IC Design for Delay-Based Reservoir Computing. - Fabiha Nowshin; Lingjia Liu 001; Yang Cindy Yi (MWSCAS, 2020)

Powering next-generation industry 4.0 by a self-learning and low-power neuromorphic system. - Hongyu An; Dong Sam Ha; Yang Cindy Yi (NANOCOM, 2020)

Reservoir Computing Meets Wi-Fi in Software Radios: Neural Network-based Symbol Detection using Training Sequences and Pilots. - Lianjun Li 001; Lingjia Liu 001; Jianzhong Charlie Zhang; Jonathan D. Ashdown; Yang Yi 002 (WOCC, 2020)

A unified information perceptron using deep reservoir computing. - Qiyuan An; Kangjun Bai; Lingjia Liu 001; Fangyang Shen; Yang Yi 002 (Comput. Electr. Eng., 2020)

Artificial Intelligence Enabled Internet of Things: Network Architecture and Spectrum Access. - Hao Song 001; Jianan Bai 001; Yang Yi 002; Jinsong Wu 001; Lingjia Liu 001 (IEEE Comput. Intell. Mag., 2020)

RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training. - Zhou Zhou 002; Lingjia Liu 001; Shashank Jere; Jianzhong Zhang 002; Yang Yi 002 (CoRR, 2020)

Simultaneous Relevance and Diversity: A New Recommendation Inference Approach. - Yifang Liu; Zhentao Xu; Qiyuan An; Yang Yi 002; Yanzhi Wang; Trevor Hastie (CoRR, 2020)

Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network. - Kangjun Bai; Yang Yi 002; Zhou Zhou 002; Shashank Jere; Lingjia Liu 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Accelerating Model-Free Reinforcement Learning With Imperfect Model Knowledge in Dynamic Spectrum Access. - Lianjun Li 001; Lingjia Liu 001; Jianan Bai 001; Hao-Hsuan Chang; Hao Chen 010; Jonathan D. Ashdown; Jianzhong Zhang 002; Yang Yi 002 (IEEE Internet Things J., 2020)

MIMO Spectrum Sensing for Cognitive Radio-Based Internet of Things. - Junlin Zhang; Lingjia Liu 001; Mingqian Liu; Yang Yi 002; Qinghai Yang; Fengkui Gong (IEEE Internet Things J., 2020)

Energy Efficient Temporal Spatial Information Processing Circuits Based on STDP and Spike Iteration. - Chenyuan Zhao; Qiyuan An; Kangjun Bai; Bryant Wysocki; Clare Thiem; Lingjia Liu 001; Yang Yi 002 (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

Detecting Dynamic Attacks in Smart Grids Using Reservoir Computing: A Spiking Delayed Feedback Reservoir Based Approach. - Kian Hamedani; Lingjia Liu 001; Shiyan Hu 001; Jonathan D. Ashdown; Jinsong Wu 001; Yang Yi 002 (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

Signal Estimation in Underlay Cognitive Networks for Industrial Internet of Things. - Mingqian Liu; Lingjia Liu 001; Hao Song 001; Yaohua Hu; Yang Yi 002; Fengkui Gong (IEEE Trans. Ind. Informatics, 2020)

A Training-Efficient Hybrid-Structured Deep Neural Network With Reconfigurable Memristive Synapses. - Kangjun Bai; Qiyuan An; Lingjia Liu 001; Yang Yi 002 (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Spectrum Sharing for UAV Communications: Spatial Spectrum Sensing and Open Issues. - Bodong Shang; Vuk Marojevic; Yang Yi 002; Aly Sabri Abdalla; Lingjia Liu 001 (IEEE Veh. Technol. Mag., 2020)

Approaching the Area of Neuromorphic Computing Circuit and System Design. - Honghao Zheng; Juliet Anderson; Yang Yi 002 (IGSC (Workshops), 2021)

A Hybrid FPGA-ASIC Delayed Feedback Reservoir System to Enable Spectrum Sensing/Sharing for Low Power IoT Devices ICCAD Special Session Paper. - Osaze Shears; Kangjun Bai; Lingjia Liu 001; Yang Yi 002 (ICCAD, 2021)

Edge Intelligence for Beyond-5G through Federated Learning. - Shashank Jere; Yang Yi 002 (SEC, 2021)

A Three-dimensional (3D) Memristive Spiking Neural Network (M-SNN) System. - Hongyu An; Mohammad Shah Al-Mamun; Marius K. Orlowski; Yang Yi 002 (ISQED, 2021)

Three-dimensional Memristive Deep Neural Network with Programmable Attention Mechanism. - Hongyu An; Kangjun Bai; Yang Yi 002 (ISQED, 2021)

Toward Intelligence in Communication Networks: A Deep Learning Identification Strategy for Radio Frequency Fingerprints. - Kangjun Bai; Clare Thiem; Nathan McDonald; Lisa Loomis; Yang Yi 002 (ISQED, 2021)

Low-power Analog and Mixed-signal IC Design of Multiplexing Neural Encoder in Neuromorphic Computing. - Honghao Zheng; Nima Mohammadi; Kangjun Bai; Yang Yi 002 (ISQED, 2021)

Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning. - Kian Hamedani; Lingjia Liu 001; Jithin Jagannath; Yang Cindy Yi (WiseML@WiSec, 2021)

Efficient neural networks for edge devices. - Shiya Liu; Dong Sam Ha; Fangyang Shen; Yang Yi 002 (Comput. Electr. Eng., 2021)

Multiagent Reinforcement Learning Meets Random Access in Massive Cellular Internet of Things. - Jianan Bai 001; Hao Song 001; Yang Yi 002; Lingjia Liu 001 (IEEE Internet Things J., 2021)

A Deep Reinforcement Learning Framework for Spectrum Management in Dynamic Spectrum Access. - Hao Song 001; Lingjia Liu 001; Jonathan D. Ashdown; Yang Yi 002 (IEEE Internet Things J., 2021)

A Cost-Efficient Digital ESN Architecture on FPGA for OFDM Symbol Detection. - Victor M. Gan; Yibin Liang; Lianjun Li 001; Lingjia Liu 001; Yang Yi 002 (ACM J. Emerg. Technol. Comput. Syst., 2021)

Computing over Space-Air-Ground Integrated Networks: Challenges and Opportunities. - Bodong Shang; Yang Yi 002; Lingjia Liu 001 (IEEE Netw., 2021)

Robust Deep Reservoir Computing Through Reliable Memristor With Improved Heat Dissipation Capability. - Hongyu An; Mohammad Shah Al-Mamun; Marius Orlowski; Lingjia Liu 001; Yang Yi 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

Spatial-Temporal Hybrid Neural Network With Computing-in-Memory Architecture. - Kangjun Bai; Lingjia Liu 001; Yang Yi 002 (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Realizing Behavior Level Associative Memory Learning Through Three-Dimensional Memristor-Based Neuromorphic Circuits. - Hongyu An; Qiyuan An; Yang Yi 002 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Energy Efficient MIMO-OFDM Spectrum Sensing Using Deep Stacked Spiking Delayed Feedback Reservoir Computing. - Kian Hamedani; Lingjia Liu 001; Yang Yi 002 (IEEE Trans. Green Commun. Netw., 2021)

RCNet: Incorporating Structural Information Into Deep RNN for Online MIMO-OFDM Symbol Detection With Limited Training. - Zhou Zhou 002; Lingjia Liu 001; Shashank Jere; Jianzhong Zhang 002; Yang Yi 002 (IEEE Trans. Wirel. Commun., 2021)

Policy-based Fully Spiking Reservoir Computing for Multi-Agent Distributed Dynamic Spectrum Access. - Nima Mohammadi; Lingjia Liu 001; Yang Yi 002 (ICC, 2022)

Diagnosing Clinical Diseases using an Edge-Enabled Deep Learning Technology. - Kang Jun Bai; Yang Yi 002 (SEC, 2022)

Spiking Reservoir Computing for Temporal Edge Intelligence on Loihi. - Ramashish Gaurav; Terrence C. Stewart; Yang Cindy Yi (SEC, 2022)

Real-time Machine Learning for Symbol Detection in MIMO-OFDM Systems. - Yibin Liang; Lianjun Li 001; Yang Yi 002; Lingjia Liu 001 (INFOCOM, 2022)

FPGA-based Reservoir Computing with Optimized Reservoir Node Architecture. - Chunxiao Lin; Yibin Liang; Yang Yi 002 (ISQED, 2022)

Memristor-based Deep Spiking Neural Network with a Computing-In-Memory Architecture. - Fabiha Nowshin; Yang Yi 002 (ISQED, 2022)

Low-Complexity Channel Matrix Calculation for OTFS Systems with Fractional Delay and Doppler. - Zheng Wang; Lingjia Liu 001; Yang Yi 002; A. Robert Calderbank; Jianzhong Zhang 002 (MILCOM, 2022)

Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approach. - Hao-Hsuan Chang; Lingjia Liu 001; Jianan Bai 001; Alex Pidwerbetsky; Allan Berlinsky; Joe Huang; Jonathan D. Ashdown; Kurt A. Turck; Yang Yi 002 (IEEE Access, 2022)

Delay-Aware Resource Allocation in Fog-Assisted IoT Networks Through Reinforcement Learning. - Qiang Fan; Jianan Bai 001; Hongxia Zhang; Yang Yi 002; Lingjia Liu 001 (IEEE Internet Things J., 2022)

Differential Privacy Meets Federated Learning Under Communication Constraints. - Nima Mohammadi; Jianan Bai 001; Qiang Fan; Yifei Song; Yang Yi 002; Lingjia Liu 001 (IEEE Internet Things J., 2022)

Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing. - Zhou Zhou 002; Kangjun Bai; Nima Mohammadi; Yang Yi 002; Lingjia Liu 001 (IEEE Netw., 2022)

Three-Dimensional Neuromorphic Computing System With Two-Layer and Low-Variation Memristive Synapses. - Hongyu An; Mohammad Shah Al-Mamun; Marius K. Orlowski; Lingjia Liu 001; Yang Yi 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Reservoir Computing Meets Extreme Learning Machine in Real-Time MIMO-OFDM Receive Processing. - Lianjun Li 001; Lingjia Liu 001; Zhou Zhou 002; Yang Yi 002 (IEEE Trans. Commun., 2022)

Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond. - Hao-Hsuan Chang; Lingjia Liu 001; Yang Yi 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Invited Paper: Accelerating Next-G Wireless Communications with FPGA-Based AI Accelerators. - Chunxiao Lin; Muhammad Farhan Azmine; Yang Yi 002 (ICCAD, 2023)

Spiking Neural Encoding Schemes and STDP Training Algorithms for Edge Computing. - Honghao Zheng; Yang Yi 002 (SEC, 2023)

Knowledge Distillation between DNN and SNN for Intelligent Sensing Systems on Loihi Chip. - Shiya Liu; Yang Yi 002 (ISQED, 2023)

Spiking Domain Feature Extraction with Temporal Dynamic Learning. - Honghao Zheng; Yang Yi 002 (ISQED, 2023)

Reservoir based spiking models for univariate Time Series Classification. - Ramashish Gaurav; Terrence C. Stewart; Yang Yi 002 (Frontiers Comput. Neurosci., 2023)

Distributed Learning Meets 6G: A Communication and Computing Perspective. - Shashank Jere; Yifei Song; Yang Yi 002; Lingjia Liu 001 (IEEE Wirel. Commun., 2023)

Quantized Reservoir Computing for Spectrum Sensing With Knowledge Distillation. - Shiya Liu; Lingjia Liu 001; Yang Yi 002 (IEEE Trans. Cogn. Dev. Syst., 2023)

Enabling a New Methodology of Neural Coding: Multiplexing Temporal Encoding in Neuromorphic Computing. - Honghao Zheng; Kang Jun Bai; Yang Yi 002 (IEEE Trans. Very Large Scale Integr. Syst., 2023)

A 266.7 TOPS/W Computing-in Memory Using Single-Ended 6T 4-kb SRAM in 16-nm FinFET CMOS Process. - Cheng-Yao Lo; Lean Karlo Santos Tolentino; Jhih-Ying Ke; Jeffrey S. Walling; Yang Yi 002; Chua-Chin Wang (AICAS, 2024)

An In-Memory Power Efficient Computing Architecture with Emerging VGSOT MRAM Device. - Md. Rubel Sarkar; Shirazush Salekin Chowdhury; Jeffrey Sean Walling; Yang Cindy Yi (ISCAS, 2024)

Advancing Analog Reservoir Computing through Temporal Attention and MLP Integration. - Khalil Sedki; Yang Cindy Yi (ISQED, 2024)

Enhancing Driving Behavior Analysis in Autonomous Systems: A Reservoir Computing and Temporal-Aware Machine Learning Approach. - Fabiha Nowshin; Sanchit Sethi; Zheng Dong 002; Yang Yi 002 (MOST, 2024)

Leveraging neuro-inspired AI accelerator for high-speed computing in 6G networks. - Chunxiao Lin; Muhammad Farhan Azmine; Yibin Liang; Yang Yi 002 (Frontiers Comput. Neurosci., 2024)

DNN-SNN Co-Learning for Sustainable Symbol Detection in 5G Systems on Loihi Chip. - Shiya Liu; Yibin Liang; Yang Yi 002 (IEEE Trans. Sustain. Comput., 2024)

Towards Energy-Efficient Spiking Neural Networks: A Robust Hybrid CMOS-Memristive Accelerator. - Fabiha Nowshin; Hongyu An; Yang Yi 002 (ACM J. Emerg. Technol. Comput. Syst., 2024)

MERRC: A Memristor-Enabled Reconfigurable Low-Power Reservoir Computing Architecture at the Edge. - Fabiha Nowshin; Yi Huang 008; Md. Rubel Sarkar; Qiangfei Xia; Yang Yi 002 (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Quantization-Aware Training of Spiking Neural Networks for Energy-Efficient Spectrum Sensing on Loihi Chip. - Shiya Liu; Nima Mohammadi; Yang Yi 002 (IEEE Trans. Green Commun. Netw., 2024)

An In-Memory Computing Architecture Utilizing Energy-Efficient VGSOT MRAM Device. - Md. Rubel Sarkar; Yang Cindy Yi (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

SNNOT: Spiking Neural Network With On-Chip Training for MIMO-OFDM Symbol Detection. - Honghao Zheng; Jiarui Xu; Lingjia Liu 001; Yang Yi 002 (IEEE Trans. Green Commun. Netw., 2024)

Efficient Digital Architecture of Spiking Encoders for Neuromorphic Accelerators. - Ruizhe Li 006; Muhammad Farhan Azmine; Gauri Sharma; Yang Yi 002 (ISQED, 2025)

Dyna-ESN: Efficient Deep Reinforcement Learning for Partially Observable Dynamic Spectrum Access. - Hao-Hsuan Chang; Nima Mohammadi; Ramin Safavinejad; Yang Yi 002; Lingjia Liu 001 (IEEE Trans. Wirel. Commun., 2025)