Yang Yi

Orcid: 0000-0002-1354-0204

Affiliations:
  • Virginia Tech, Department of Electrical and Computer Engineering, Blacksburg, VA, USA
  • University of Kansas, Lawrence, KS, USA (former)
  • Texas Instruments Inc., Dallas, TX, USA (former)
  • Texas A&M University, College Station, TX, USA (former)


According to our database1, Yang Yi authored at least 132 papers between 2010 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
An In-Memory Computing Architecture Utilizing Energy-Efficient VGSOT MRAM Device.
IEEE Trans. Circuits Syst. II Express Briefs, July, 2024

Quantization-Aware Training of Spiking Neural Networks for Energy-Efficient Spectrum Sensing on Loihi Chip.
IEEE Trans. Green Commun. Netw., June, 2024

MERRC: A Memristor-Enabled Reconfigurable Low-Power Reservoir Computing Architecture at the Edge.
IEEE Trans. Circuits Syst. I Regul. Pap., January, 2024

Towards Energy-Efficient Spiking Neural Networks: A Robust Hybrid CMOS-Memristive Accelerator.
ACM J. Emerg. Technol. Comput. Syst., January, 2024

DNN-SNN Co-Learning for Sustainable Symbol Detection in 5G Systems on Loihi Chip.
IEEE Trans. Sustain. Comput., 2024

Leveraging neuro-inspired AI accelerator for high-speed computing in 6G networks.
Frontiers Comput. Neurosci., 2024

Enhancing Driving Behavior Analysis in Autonomous Systems: A Reservoir Computing and Temporal-Aware Machine Learning Approach.
Proceedings of the IEEE International Conference on Mobility, 2024

Advancing Analog Reservoir Computing through Temporal Attention and MLP Integration.
Proceedings of the 25th International Symposium on Quality Electronic Design, 2024

An In-Memory Power Efficient Computing Architecture with Emerging VGSOT MRAM Device.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

A 266.7 TOPS/W Computing-in Memory Using Single-Ended 6T 4-kb SRAM in 16-nm FinFET CMOS Process.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023
Enabling a New Methodology of Neural Coding: Multiplexing Temporal Encoding in Neuromorphic Computing.
IEEE Trans. Very Large Scale Integr. Syst., March, 2023

Quantized Reservoir Computing for Spectrum Sensing With Knowledge Distillation.
IEEE Trans. Cogn. Dev. Syst., March, 2023

Distributed Learning Meets 6G: A Communication and Computing Perspective.
IEEE Wirel. Commun., February, 2023

Reservoir based spiking models for univariate Time Series Classification.
Frontiers Comput. Neurosci., February, 2023

Spiking Domain Feature Extraction with Temporal Dynamic Learning.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Knowledge Distillation between DNN and SNN for Intelligent Sensing Systems on Loihi Chip.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Spiking Neural Encoding Schemes and STDP Training Algorithms for Edge Computing.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

Invited Paper: Accelerating Next-G Wireless Communications with FPGA-Based AI Accelerators.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond.
IEEE Trans. Neural Networks Learn. Syst., 2022

Reservoir Computing Meets Extreme Learning Machine in Real-Time MIMO-OFDM Receive Processing.
IEEE Trans. Commun., 2022

Three-Dimensional Neuromorphic Computing System With Two-Layer and Low-Variation Memristive Synapses.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing.
IEEE Netw., 2022

Differential Privacy Meets Federated Learning Under Communication Constraints.
IEEE Internet Things J., 2022

Delay-Aware Resource Allocation in Fog-Assisted IoT Networks Through Reinforcement Learning.
IEEE Internet Things J., 2022

Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approach.
IEEE Access, 2022

Low-Complexity Channel Matrix Calculation for OTFS Systems with Fractional Delay and Doppler.
Proceedings of the IEEE Military Communications Conference, 2022

Memristor-based Deep Spiking Neural Network with a Computing-In-Memory Architecture.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

FPGA-based Reservoir Computing with Optimized Reservoir Node Architecture.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

Real-time Machine Learning for Symbol Detection in MIMO-OFDM Systems.
Proceedings of the IEEE INFOCOM 2022, 2022

Spiking Reservoir Computing for Temporal Edge Intelligence on Loihi.
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

Diagnosing Clinical Diseases using an Edge-Enabled Deep Learning Technology.
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

Policy-based Fully Spiking Reservoir Computing for Multi-Agent Distributed Dynamic Spectrum Access.
Proceedings of the IEEE International Conference on Communications, 2022

2021
RCNet: Incorporating Structural Information Into Deep RNN for Online MIMO-OFDM Symbol Detection With Limited Training.
IEEE Trans. Wirel. Commun., 2021

Energy Efficient MIMO-OFDM Spectrum Sensing Using Deep Stacked Spiking Delayed Feedback Reservoir Computing.
IEEE Trans. Green Commun. Netw., 2021

Realizing Behavior Level Associative Memory Learning Through Three-Dimensional Memristor-Based Neuromorphic Circuits.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Spatial-Temporal Hybrid Neural Network With Computing-in-Memory Architecture.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Robust Deep Reservoir Computing Through Reliable Memristor With Improved Heat Dissipation Capability.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Computing over Space-Air-Ground Integrated Networks: Challenges and Opportunities.
IEEE Netw., 2021

A Cost-Efficient Digital ESN Architecture on FPGA for OFDM Symbol Detection.
ACM J. Emerg. Technol. Comput. Syst., 2021

A Deep Reinforcement Learning Framework for Spectrum Management in Dynamic Spectrum Access.
IEEE Internet Things J., 2021

Multiagent Reinforcement Learning Meets Random Access in Massive Cellular Internet of Things.
IEEE Internet Things J., 2021

Efficient neural networks for edge devices.
Comput. Electr. Eng., 2021

Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning.
Proceedings of the WiseML@WiSec 2021: Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning, 2021

Low-power Analog and Mixed-signal IC Design of Multiplexing Neural Encoder in Neuromorphic Computing.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

Toward Intelligence in Communication Networks: A Deep Learning Identification Strategy for Radio Frequency Fingerprints.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

Three-dimensional Memristive Deep Neural Network with Programmable Attention Mechanism.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

A Three-dimensional (3D) Memristive Spiking Neural Network (M-SNN) System.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

Edge Intelligence for Beyond-5G through Federated Learning.
Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

A Hybrid FPGA-ASIC Delayed Feedback Reservoir System to Enable Spectrum Sensing/Sharing for Low Power IoT Devices ICCAD Special Session Paper.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Approaching the Area of Neuromorphic Computing Circuit and System Design.
Proceedings of the 12th International Green and Sustainable Computing Workshops, 2021

2020
Spectrum Sharing for UAV Communications: Spatial Spectrum Sensing and Open Issues.
IEEE Veh. Technol. Mag., 2020

A Training-Efficient Hybrid-Structured Deep Neural Network With Reconfigurable Memristive Synapses.
IEEE Trans. Very Large Scale Integr. Syst., 2020

Signal Estimation in Underlay Cognitive Networks for Industrial Internet of Things.
IEEE Trans. Ind. Informatics, 2020

Detecting Dynamic Attacks in Smart Grids Using Reservoir Computing: A Spiking Delayed Feedback Reservoir Based Approach.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Energy Efficient Temporal Spatial Information Processing Circuits Based on STDP and Spike Iteration.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

MIMO Spectrum Sensing for Cognitive Radio-Based Internet of Things.
IEEE Internet Things J., 2020

Accelerating Model-Free Reinforcement Learning With Imperfect Model Knowledge in Dynamic Spectrum Access.
IEEE Internet Things J., 2020

Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Simultaneous Relevance and Diversity: A New Recommendation Inference Approach.
CoRR, 2020

RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training.
CoRR, 2020

Artificial Intelligence Enabled Internet of Things: Network Architecture and Spectrum Access.
IEEE Comput. Intell. Mag., 2020

A unified information perceptron using deep reservoir computing.
Comput. Electr. Eng., 2020

Reservoir Computing Meets Wi-Fi in Software Radios: Neural Network-based Symbol Detection using Training Sequences and Pilots.
Proceedings of the 29th Wireless and Optical Communications Conference, 2020

Powering next-generation industry 4.0 by a self-learning and low-power neuromorphic system.
Proceedings of the NANOCOM '20: The Seventh Annual ACM International Conference on Nanoscale Computing and Communication, 2020

Energy Efficient and Adaptive Analog IC Design for Delay-Based Reservoir Computing.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

Accurate and Efficient Quantized Reservoir Computing System.
Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

Deep Neural Network Based Speech Recognition Systems Under Noise Perturbations.
Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

A Cross-Layer Optimization Framework for Distributed Computing in IoT Networks.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

Quantized Reservoir Computing on Edge Devices for Communication Applications.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

Detection Through Deep Neural Networks: A Reservoir Computing Approach for MIMO-OFDM Symbol Detection.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Recent Advances in Reservoir Computing With A Focus on Electronic Reservoirs.
Proceedings of the 11th International Green and Sustainable Computing Workshops, 2020

Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
QoS-Aware D2D Cellular Networks With Spatial Spectrum Sensing: A Stochastic Geometry View.
IEEE Trans. Commun., 2019

Green Massive Traffic Offloading for Cyber-Physical Systems over Heterogeneous Cellular Networks.
Mob. Networks Appl., 2019

Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach.
IEEE Internet Things J., 2019

Monolithic 3D neuromorphic computing system with hybrid CMOS and memristor-based synapses and neurons.
Integr., 2019

Deep Q-Network Based Power Allocation Meets Reservoir Computing in Distributed Dynamic Spectrum Access Networks.
Proceedings of the IEEE INFOCOM 2019, 2019

Design and Analysis of Real Time Spiking Neural Network Decoder for Neuromorphic Chips.
Proceedings of the International Conference on Neuromorphic Systems, 2019

Maximizing System Throughput in D2D Networks Using Alternative DC Programming.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

High speed and energy efficient deep neural network for edge computing.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

Deep-DFR: A Memristive Deep Delayed Feedback Reservoir Computing System with Hybrid Neural Network Topology.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018
Distributed MIMO Precoding for In-Band Full-Duplex Wireless Backhaul in Heterogeneous Networks.
IEEE Trans. Veh. Technol., 2018

Enabling Sustainable Cyber Physical Security Systems through Neuromorphic Computing.
IEEE Trans. Sustain. Comput., 2018

Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM.
IEEE Trans. Neural Networks Learn. Syst., 2018

Reservoir Computing Meets Smart Grids: Attack Detection Using Delayed Feedback Networks.
IEEE Trans. Ind. Informatics, 2018

A Novel Approach for Using TSVs As Membrane Capacitance in Neuromorphic 3-D IC.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Neuromorphic and cognitive computing and communication in hardware.
Nano Commun. Networks, 2018

DFR: An Energy-efficient Analog Delay Feedback Reservoir Computing System for Brain-inspired Computing.
ACM J. Emerg. Technol. Comput. Syst., 2018

A Physical Layer Security Scheme for Mobile Health Cyber-Physical Systems.
IEEE Internet Things J., 2018

Analog Spike-Timing-Dependent Resistive Crossbar Design for Brain Inspired Computing.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Big Data Meet Cyber-Physical Systems: A Panoramic Survey.
IEEE Access, 2018

A deep learning based approach for analog hardware implementation of delayed feedback reservoir computing system.
Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

Q-Learning for Non-Cooperative Channel Access Game of Cognitive Radio Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Realizing Green Symbol Detection via Reservoir Computing: An Energy-Efficiency Perspective.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Enabling a new era of brain-inspired computing: energy-efficient spiking neural network with ring topology.
Proceedings of the 55th Annual Design Automation Conference, 2018

2017
Interspike-Interval-Based Analog Spike-Time-Dependent Encoder for Neuromorphic Processors.
IEEE Trans. Very Large Scale Integr. Syst., 2017

Energy Harvesting-Based D2D-Assisted Machine-Type Communications.
IEEE Trans. Commun., 2017

Emerging technology enabled energy-efficient GPGPUs register file.
Microprocess. Microsystems, 2017

Enabling cyber-physical communication in 5G cellular networks: challenges, spatial spectrum sensing, and cyber-security.
IET Cyper-Phys. Syst.: Theory & Appl., 2017

Three dimensional memristor-based neuromorphic computing system and its application to cloud robotics.
Comput. Electr. Eng., 2017

Hybrid three-dimensional integrated circuits: A viable solution for high efficiency Neuromorphic Computing.
Proceedings of the 2017 International Symposium on VLSI Design, Automation and Test, 2017

3D memristor-based adjustable deep recurrent neural network with programmable attention mechanism.
Proceedings of the Neuromorphic Computing Symposium, 2017

Energy efficient analog spiking temporal encoder with verification and recovery scheme for neuromorphic computing systems.
Proceedings of the 18th International Symposium on Quality Electronic Design, 2017

Electrical modeling and analysis of 3D synaptic array using vertical RRAM structure.
Proceedings of the 18th International Symposium on Quality Electronic Design, 2017

Analog hardware implementation of spike-based delayed feedback reservoir computing system.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Neuromorphic 3D Integrated Circuit: A Hybrid, Reliable and Energy Efficient Approach for Next Generation Computing.
Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017

Adaptation of Enhanced TSV Capacitance as Membrane Property in 3D Brain-inspired Computing System.
Proceedings of the 54th Annual Design Automation Conference, 2017

2016
Mitigating the Impact of Hardware Variability for GPGPUs Register File.
IEEE Trans. Parallel Distributed Syst., 2016

Energy Efficient Spiking Temporal Encoder Design for Neuromorphic Computing Systems.
IEEE Trans. Multi Scale Comput. Syst., 2016

FPGA based spike-time dependent encoder and reservoir design in neuromorphic computing processors.
Microprocess. Microsystems, 2016

Low power CMOS power amplifier design for RFID and the Internet of Things.
Comput. Electr. Eng., 2016

Novel Spike based Reservoir Node Design with High Performance Spike Delay Loop.
Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, 2016

Performance Analysis on Nano-Networks: A Stochastic Geometry Approach.
Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, 2016

Design challenges and methodologies in 3D integration for neuromorphic computing systems.
Proceedings of the 17th International Symposium on Quality Electronic Design, 2016

An energy efficient decoding scheme for nonlinear MIMO-OFDM network using reservoir computing.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Making neural encoding robust and energy efficient: an advanced analog temporal encoder for brain-inspired computing systems.
Proceedings of the 35th International Conference on Computer-Aided Design, 2016

Coordinated Data Assignment: A Novel Scheme for Big Data over Cached Cloud-RAN.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Privacy Protection Scheme for eHealth Systems: A Stochastic Geometry Approach.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Improving Spectral Efficiency of D2D Cellular Networks through RF Energy Harvesting.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Cooperative Retransmission for Massive MTC under Spatiotemporally Correlated Interference.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
Resource Allocation for Delay-Sensitive Traffic Over LTE-Advanced Relay Networks.
IEEE Trans. Wirel. Commun., 2015

Spike-Time-Dependent Encoding for Neuromorphic Processors.
ACM J. Emerg. Technol. Comput. Syst., 2015

Three Dimensional Integration Technology Applied to Neuromorphic Hardware Implementation.
Proceedings of the IEEE International Symposium on Nanoelectronic and Information Systems, 2015

Neuromorphic encoding system design with chaos based CMOS analog neuron.
Proceedings of the 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2015

Channel estimation in wireless OFDM systems using reservoir computing.
Proceedings of the 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2015

2014
Energy-Efficient Power Allocation for Delay-Sensitive Multimedia Traffic Over Wireless Systems.
IEEE Trans. Veh. Technol., 2014

2013
Modeling and characterizing GPGPU reliability in the presence of soft errors.
Parallel Comput., 2013

Adaptive resource allocation for heterogeneous traffic over heterogeneous relay networks.
Proceedings of IEEE International Conference on Communications, 2013

2012
Combating Interference: MU-MIMO, CoMP, and HetNet (Invited Paper).
J. Commun., 2012

2011
Capacity of Multicarrier Multilayer Broadcast and Unicast Hybrid Cellular System with Independent Channel Coding over Subcarriers.
Proceedings of the 74th IEEE Vehicular Technology Conference, 2011

2010
Optimal fusion scheme in wireless sensor networks under sum-rate capacity constraint.
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010


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