default search action
Yang Yi 0002
Person information
- affiliation: Virginia Tech, Department of Electrical and Computer Engineering, Blacksburg, VA, USA
- affiliation (former): University of Kansas, Lawrence, KS, USA
- affiliation (former): Texas Instruments Inc., Dallas, TX, USA
- affiliation (former): Texas A&M University, College Station, TX, USA
Other persons with the same name
- Yang Yi — disambiguation page
- Yang Yi 0001 — Yangzhou University, Department of Automation, Yangzhou, China (and 1 more)
- Yang Yi 0003 — Sun-Yat Sen University, School of Information Science and Technology, Guangzhou, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j66]Chunxiao Lin, Muhammad Farhan Azmine, Yibin Liang, Yang Yi:
Leveraging neuro-inspired AI accelerator for high-speed computing in 6G networks. Frontiers Comput. Neurosci. 18 (2024) - [j65]Fabiha Nowshin, Hongyu An, Yang Yi:
Towards Energy-Efficient Spiking Neural Networks: A Robust Hybrid CMOS-Memristive Accelerator. ACM J. Emerg. Technol. Comput. Syst. 20(1): 5:1-5:20 (2024) - [j64]Fabiha Nowshin, Yi Huang, Md. Rubel Sarkar, Qiangfei Xia, Yang Yi:
MERRC: A Memristor-Enabled Reconfigurable Low-Power Reservoir Computing Architecture at the Edge. IEEE Trans. Circuits Syst. I Regul. Pap. 71(1): 174-186 (2024) - [j63]Md. Rubel Sarkar, Yang Cindy Yi:
An In-Memory Computing Architecture Utilizing Energy-Efficient VGSOT MRAM Device. IEEE Trans. Circuits Syst. II Express Briefs 71(7): 3258-3262 (2024) - [j62]Shiya Liu, Nima Mohammadi, Yang Yi:
Quantization-Aware Training of Spiking Neural Networks for Energy-Efficient Spectrum Sensing on Loihi Chip. IEEE Trans. Green Commun. Netw. 8(2): 827-838 (2024) - [j61]Honghao Zheng, Jiarui Xu, Lingjia Liu, Yang Yi:
SNNOT: Spiking Neural Network With On-Chip Training for MIMO-OFDM Symbol Detection. IEEE Trans. Green Commun. Netw. 8(4): 1809-1823 (2024) - [j60]Shiya Liu, Yibin Liang, Yang Yi:
DNN-SNN Co-Learning for Sustainable Symbol Detection in 5G Systems on Loihi Chip. IEEE Trans. Sustain. Comput. 9(2): 170-181 (2024) - [c65]Cheng-Yao Lo, Lean Karlo Santos Tolentino, Jhih-Ying Ke, Jeffrey S. Walling, Yang Yi, Chua-Chin Wang:
A 266.7 TOPS/W Computing-in Memory Using Single-Ended 6T 4-kb SRAM in 16-nm FinFET CMOS Process. AICAS 2024: 90-94 - [c64]Md. Rubel Sarkar, Shirazush Salekin Chowdhury, Jeffrey Sean Walling, Yang Cindy Yi:
An In-Memory Power Efficient Computing Architecture with Emerging VGSOT MRAM Device. ISCAS 2024: 1-5 - [c63]Khalil Sedki, Yang Cindy Yi:
Advancing Analog Reservoir Computing through Temporal Attention and MLP Integration. ISQED 2024: 1-8 - [c62]Fabiha Nowshin, Sanchit Sethi, Zheng Dong, Yang Yi:
Enhancing Driving Behavior Analysis in Autonomous Systems: A Reservoir Computing and Temporal-Aware Machine Learning Approach. MOST 2024: 24-33 - 2023
- [j59]Ramashish Gaurav, Terrence C. Stewart, Yang Yi:
Reservoir based spiking models for univariate Time Series Classification. Frontiers Comput. Neurosci. 17 (2023) - [j58]Shiya Liu, Lingjia Liu, Yang Yi:
Quantized Reservoir Computing for Spectrum Sensing With Knowledge Distillation. IEEE Trans. Cogn. Dev. Syst. 15(1): 88-99 (2023) - [j57]Honghao Zheng, Kang Jun Bai, Yang Yi:
Enabling a New Methodology of Neural Coding: Multiplexing Temporal Encoding in Neuromorphic Computing. IEEE Trans. Very Large Scale Integr. Syst. 31(3): 331-342 (2023) - [j56]Shashank Jere, Yifei Song, Yang Yi, Lingjia Liu:
Distributed Learning Meets 6G: A Communication and Computing Perspective. IEEE Wirel. Commun. 30(1): 112-117 (2023) - [c61]Chunxiao Lin, Muhammad Farhan Azmine, Yang Yi:
Invited Paper: Accelerating Next-G Wireless Communications with FPGA-Based AI Accelerators. ICCAD 2023: 1-8 - [c60]Honghao Zheng, Yang Yi:
Spiking Neural Encoding Schemes and STDP Training Algorithms for Edge Computing. SEC 2023: 365-371 - [c59]Shiya Liu, Yang Yi:
Knowledge Distillation between DNN and SNN for Intelligent Sensing Systems on Loihi Chip. ISQED 2023: 1-8 - [c58]Honghao Zheng, Yang Yi:
Spiking Domain Feature Extraction with Temporal Dynamic Learning. ISQED 2023: 1-5 - [i10]Shashank Jere, Yifei Song, Yang Yi, Lingjia Liu:
Distributed Learning Meets 6G: A Communication and Computing Perspective. CoRR abs/2303.12802 (2023) - 2022
- [j55]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: 16424-16438 (2022) - [j54]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): 5189-5199 (2022) - [j53]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): 22204-22219 (2022) - [j52]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): 175-180 (2022) - [j51]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): 400-409 (2022) - [j50]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): 3126-3140 (2022) - [j49]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): 929-939 (2022) - [c57]Nima Mohammadi, Lingjia Liu, Yang Yi:
Policy-based Fully Spiking Reservoir Computing for Multi-Agent Distributed Dynamic Spectrum Access. ICC 2022: 1-6 - [c56]Kang Jun Bai, Yang Yi:
Diagnosing Clinical Diseases using an Edge-Enabled Deep Learning Technology. SEC 2022: 521-525 - [c55]Ramashish Gaurav, Terrence C. Stewart, Yang Cindy Yi:
Spiking Reservoir Computing for Temporal Edge Intelligence on Loihi. SEC 2022: 526-530 - [c54]Yibin Liang, Lianjun Li, Yang Yi, Lingjia Liu:
Real-time Machine Learning for Symbol Detection in MIMO-OFDM Systems. INFOCOM 2022: 2068-2077 - [c53]Chunxiao Lin, Yibin Liang, Yang Yi:
FPGA-based Reservoir Computing with Optimized Reservoir Node Architecture. ISQED 2022: 1-6 - [c52]Fabiha Nowshin, Yang Yi:
Memristor-based Deep Spiking Neural Network with a Computing-In-Memory Architecture. ISQED 2022: 1-6 - [c51]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: 787-792 - 2021
- [j48]Shiya Liu, Dong Sam Ha, Fangyang Shen, Yang Yi:
Efficient neural networks for edge devices. Comput. Electr. Eng. 92: 107121 (2021) - [j47]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): 11208-11218 (2021) - [j46]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): 17417-17428 (2021) - [j45]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): 47:1-47:15 (2021) - [j44]Bodong Shang, Yang Yi, Lingjia Liu:
Computing over Space-Air-Ground Integrated Networks: Challenges and Opportunities. IEEE Netw. 35(4): 302-309 (2021) - [j43]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): 574-583 (2021) - [j42]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): 2850-2862 (2021) - [j41]Hongyu An, Qiyuan An, Yang Yi:
Realizing Behavior Level Associative Memory Learning Through Three-Dimensional Memristor-Based Neuromorphic Circuits. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 668-678 (2021) - [j40]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): 484-496 (2021) - [j39]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): 3524-3537 (2021) - [c50]Honghao Zheng, Juliet Anderson, Yang Yi:
Approaching the Area of Neuromorphic Computing Circuit and System Design. IGSC (Workshops) 2021: 1-8 - [c49]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: 1-9 - [c48]Shashank Jere, Yang Yi:
Edge Intelligence for Beyond-5G through Federated Learning. SEC 2021: 345-349 - [c47]Honghao Zheng, Nima Mohammadi, Kangjun Bai, Yang Yi:
Low-power Analog and Mixed-signal IC Design of Multiplexing Neural Encoder in Neuromorphic Computing. ISQED 2021: 154-159 - [c46]Kangjun Bai, Clare Thiem, Nathan McDonald, Lisa Loomis, Yang Yi:
Toward Intelligence in Communication Networks: A Deep Learning Identification Strategy for Radio Frequency Fingerprints. ISQED 2021: 204-209 - [c45]Hongyu An, Kangjun Bai, Yang Yi:
Three-dimensional Memristive Deep Neural Network with Programmable Attention Mechanism. ISQED 2021: 210-215 - [c44]Hongyu An, Mohammad Shah Al-Mamun, Marius K. Orlowski, Yang Yi:
A Three-dimensional (3D) Memristive Spiking Neural Network (M-SNN) System. ISQED 2021: 337-342 - [c43]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: 13-18 - [i9]Nima Mohammadi, Jianan Bai, Qiang Fan, Yifei Song, Yang Yi, Lingjia Liu:
Differential Privacy Meets Federated Learning under Communication Constraints. CoRR abs/2101.12240 (2021) - [i8]Zhou Zhou, Kangjun Bai, Nima Mohammadi, Yang Yi, Lingjia Liu:
Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing. CoRR abs/2102.03688 (2021) - [i7]Kian Hamedani, Lingjia Liu, Jithin Jagannath, Yang Yi:
Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning. CoRR abs/2106.03209 (2021) - 2020
- [j38]Qiyuan An, Kangjun Bai, Lingjia Liu, Fangyang Shen, Yang Yi:
A unified information perceptron using deep reservoir computing. Comput. Electr. Eng. 85: 106705 (2020) - [j37]Hao Song, Jianan Bai, Yang Yi, Jinsong Wu, Lingjia Liu:
Artificial Intelligence Enabled Internet of Things: Network Architecture and Spectrum Access. IEEE Comput. Intell. Mag. 15(1): 44-51 (2020) - [j36]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): 253-263 (2020) - [j35]Lianjun Li, Lingjia Liu, Jianan Bai, Hao-Hsuan Chang, Hao Chen, Jonathan D. Ashdown, Jianzhong Zhang, Yang Yi:
Accelerating Model-Free Reinforcement Learning With Imperfect Model Knowledge in Dynamic Spectrum Access. IEEE Internet Things J. 7(8): 7517-7528 (2020) - [j34]Junlin Zhang, Lingjia Liu, Mingqian Liu, Yang Yi, Qinghai Yang, Fengkui Gong:
MIMO Spectrum Sensing for Cognitive Radio-Based Internet of Things. IEEE Internet Things J. 7(9): 8874-8885 (2020) - [j33]Chenyuan Zhao, Qiyuan An, Kangjun Bai, Bryant Wysocki, Clare Thiem, Lingjia Liu, Yang Yi:
Energy Efficient Temporal Spatial Information Processing Circuits Based on STDP and Spike Iteration. IEEE Trans. Circuits Syst. II Express Briefs 67-II(10): 1715-1719 (2020) - [j32]Kian Hamedani, Lingjia Liu, Shiyan Hu, Jonathan D. Ashdown, Jinsong Wu, Yang Yi:
Detecting Dynamic Attacks in Smart Grids Using Reservoir Computing: A Spiking Delayed Feedback Reservoir Based Approach. IEEE Trans. Emerg. Top. Comput. Intell. 4(3): 253-264 (2020) - [j31]Mingqian Liu, Lingjia Liu, Hao Song, Yaohua Hu, Yang Yi, Fengkui Gong:
Signal Estimation in Underlay Cognitive Networks for Industrial Internet of Things. IEEE Trans. Ind. Informatics 16(8): 5478-5488 (2020) - [j30]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): 62-75 (2020) - [j29]Bodong Shang, Vuk Marojevic, Yang Yi, Aly Sabri Abdalla, Lingjia Liu:
Spectrum Sharing for UAV Communications: Spatial Spectrum Sensing and Open Issues. IEEE Veh. Technol. Mag. 15(2): 104-112 (2020) - [c42]Zhou Zhou, Lingjia Liu, Vikram Chandrasekhar, Jianzhong Zhang, Yang Yi:
Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection. AAAI 2020: 1266-1273 - [c41]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: 1292-1299 - [c40]Fabiha Nowshin, Yuhao Zhang, Lingjia Liu, Yang Yi:
Recent Advances in Reservoir Computing With A Focus on Electronic Reservoirs. IGSC (Workshops) 2020: 1-8 - [c39]Kangjun Bai, Lingjia Liu, Zhou Zhou, Yang Yi:
Detection Through Deep Neural Networks: A Reservoir Computing Approach for MIMO-OFDM Symbol Detection. ICCAD 2020: 30:1-30:7 - [c38]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: 440-444 - [c37]Shiya Liu, Lingjia Liu, Yang Yi:
Quantized Reservoir Computing on Edge Devices for Communication Applications. SEC 2020: 445-449 - [c36]Shiya Liu, Yibin Liang, Victor M. Gan, Lingjia Liu, Yang Yi:
Accurate and Efficient Quantized Reservoir Computing System. ISQED 2020: 364-369 - [c35]Qiyuan An, Kangjun Bai, Moqi Zhang, Yang Yi, Yifang Liu:
Deep Neural Network Based Speech Recognition Systems Under Noise Perturbations. ISQED 2020: 377-382 - [c34]Fabiha Nowshin, Lingjia Liu, Yang Cindy Yi:
Energy Efficient and Adaptive Analog IC Design for Delay-Based Reservoir Computing. MWSCAS 2020: 592-595 - [c33]Hongyu An, Dong Sam Ha, Yang Cindy Yi:
Powering next-generation industry 4.0 by a self-learning and low-power neuromorphic system. NANOCOM 2020: 6:1-6:6 - [c32]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: 1-6 - [i6]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 abs/2003.06923 (2020) - [i5]Qiang Fan, Jianan Bai, Hongxia Zhang, Yang Yi, Lingjia Liu:
Delay-aware Resource Allocation in Fog-assisted IoT Networks Through Reinforcement Learning. CoRR abs/2005.04097 (2020) - [i4]Yifang Liu, Zhentao Xu, Qiyuan An, Yang Yi, Yanzhi Wang, Trevor Hastie:
Simultaneous Relevance and Diversity: A New Recommendation Inference Approach. CoRR abs/2009.12969 (2020) - [i3]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 abs/2010.05449 (2020)
2010 – 2019
- 2019
- [j28]Hongyu An, M. Amimul Ehsan, Zhen Zhou, Fangyang Shen, Yang Yi:
Monolithic 3D neuromorphic computing system with hybrid CMOS and memristor-based synapses and neurons. Integr. 65: 273-281 (2019) - [j27]Hao-Hsuan Chang, Hao Song, Yang Yi, Jianzhong Zhang, Haibo He, Lingjia Liu:
Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach. IEEE Internet Things J. 6(2): 1938-1948 (2019) - [j26]Rachad Atat, Lingjia Liu, Jinsong Wu, Jonathan D. Ashdown, Yang Yi:
Green Massive Traffic Offloading for Cyber-Physical Systems over Heterogeneous Cellular Networks. Mob. Networks Appl. 24(4): 1364-1372 (2019) - [j25]Hao Chen, Lingjia Liu, Harpreet S. Dhillon, Yang Yi:
QoS-Aware D2D Cellular Networks With Spatial Spectrum Sensing: A Stochastic Geometry View. IEEE Trans. Commun. 67(5): 3651-3664 (2019) - [c31]Kangjun Bai, Qiyuan An, Yang Yi:
Deep-DFR: A Memristive Deep Delayed Feedback Reservoir Computing System with Hybrid Neural Network Topology. DAC 2019: 54 - [c30]Kangjun Bai, Shiya Liu, Yang Yi:
High speed and energy efficient deep neural network for edge computing. SEC 2019: 347-349 - [c29]Hao-Hsuan Chang, Lingjia Liu, Hao Song, Alex Pidwerbetsky, Allan Berlinsky, Jonathan D. Ashdown, Kurt A. Turck, Yang Yi:
Maximizing System Throughput in D2D Networks Using Alternative DC Programming. GLOBECOM 2019: 1-6 - [c28]Chenyuan Zhao, Lingjia Liu, Yang Yi:
Design and Analysis of Real Time Spiking Neural Network Decoder for Neuromorphic Chips. ICONS 2019: 15:1-15:4 - [c27]Hao Song, Lingjia Liu, Hao-Hsuan Chang, Jonathan D. Ashdown, Yang Yi:
Deep Q-Network Based Power Allocation Meets Reservoir Computing in Distributed Dynamic Spectrum Access Networks. INFOCOM Workshops 2019: 774-779 - 2018
- [j24]Rachad Atat, Lingjia Liu, Jinsong Wu, Guangyu Li, Chunxuan Ye, Yang Yi:
Big Data Meet Cyber-Physical Systems: A Panoramic Survey. IEEE Access 6: 73603-73636 (2018) - [j23]Chenyuan Zhao, Kian Hamedani, Jialing Li, Yang Yi:
Analog Spike-Timing-Dependent Resistive Crossbar Design for Brain Inspired Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(1): 38-50 (2018) - [j22]Rachad Atat, Lingjia Liu, Jonathan D. Ashdown, Michael J. Medley, John D. Matyjas, Yang Yi:
A Physical Layer Security Scheme for Mobile Health Cyber-Physical Systems. IEEE Internet Things J. 5(1): 295-309 (2018) - [j21]Kangjun Bai, Yang Yi:
DFR: An Energy-efficient Analog Delay Feedback Reservoir Computing System for Brain-inspired Computing. ACM J. Emerg. Technol. Comput. Syst. 14(4): 45:1-45:22 (2018) - [j20]Yang Cindy Yi, Dhireesha Kudithipudi:
Neuromorphic and cognitive computing and communication in hardware. Nano Commun. Networks 16: 10-11 (2018) - [j19]M. Amimul Ehsan, Hongyu An, Zhen Zhou, Yang Yi:
A Novel Approach for Using TSVs As Membrane Capacitance in Neuromorphic 3-D IC. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(8): 1640-1653 (2018) - [j18]Kian Hamedani, Lingjia Liu, Rachad Atat, Jinsong Wu, Yang Yi:
Reservoir Computing Meets Smart Grids: Attack Detection Using Delayed Feedback Networks. IEEE Trans. Ind. Informatics 14(2): 734-743 (2018) - [j17]Somayeh Mosleh, Lingjia Liu, Cenk Sahin, Yahong Rosa Zheng, Yang Yi:
Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4694-4708 (2018) - [j16]Jialing Li, Lingjia Liu, Chenyuan Zhao, Kian Hamedani, Rachad Atat, Yang Yi:
Enabling Sustainable Cyber Physical Security Systems through Neuromorphic Computing. IEEE Trans. Sustain. Comput. 3(2): 112-125 (2018) - [j15]Yi Li, Pingzhi Fan, Lingjia Liu, Yang Yi:
Distributed MIMO Precoding for In-Band Full-Duplex Wireless Backhaul in Heterogeneous Networks. IEEE Trans. Veh. Technol. 67(3): 2064-2076 (2018) - [c26]Kangjun Bai, Jialing Li, Kian Hamedani, Yang Yi:
Enabling a new era of brain-inspired computing: energy-efficient spiking neural network with ring topology. DAC 2018: 166:1-166:6 - [c25]Rubayet Shafin Bradley Shafin, Lingjia Liu, Jonathan D. Ashdown, John D. Matyjas, Michael J. Medley, Bryant T. Wysocki, Yang Yi:
Realizing Green Symbol Detection via Reservoir Computing: An Energy-Efficiency Perspective. ICC 2018: 1-6 - [c24]He Jiang, Haibo He, Lingjia Liu, Yang Yi:
Q-Learning for Non-Cooperative Channel Access Game of Cognitive Radio Networks. IJCNN 2018: 1-7 - [c23]Jialing Li, Kangjun Bai, Lingjia Liu, Yang Yi:
A deep learning based approach for analog hardware implementation of delayed feedback reservoir computing system. ISQED 2018: 308-313 - [i2]Hao-Hsuan Chang, Hao Song, Yang Yi, Jianzhong Zhang, Haibo He, Lingjia Liu:
Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach. CoRR abs/1810.11758 (2018) - [i1]Rachad Atat, Lingjia Liu, Jinsong Wu, Guangyu Li, Chunxuan Ye, Yang Yi:
Big Data Meet Cyber-Physical Systems: A Panoramic Survey. CoRR abs/1810.12399 (2018) - 2017
- [j14]Hongyu An, Jialing Li, Ying Li, Xin Fu, Yang Yi:
Three dimensional memristor-based neuromorphic computing system and its application to cloud robotics. Comput. Electr. Eng. 63: 99-113 (2017) - [j13]Rachad Atat, Lingjia Liu, Hao Chen, Jinsong Wu, Hongxiang Li, Yang Yi:
Enabling cyber-physical communication in 5G cellular networks: challenges, spatial spectrum sensing, and cyber-security. IET Cyper-Phys. Syst.: Theory & Appl. 2(1): 49-54 (2017) - [j12]Chenhao Xie, Jingweijia Tan, Mingsong Chen, Yang Yi, Lu Peng, Xin Fu:
Emerging technology enabled energy-efficient GPGPUs register file. Microprocess. Microsystems 50: 175-188 (2017) - [j11]Rachad Atat, Lingjia Liu, Nicholas Mastronarde, Yang Yi:
Energy Harvesting-Based D2D-Assisted Machine-Type Communications. IEEE Trans. Commun. 65(3): 1289-1302 (2017) - [j10]Chenyuan Zhao, Yang Yi, Jialing Li, Xin Fu, Lingjia Liu:
Interspike-Interval-Based Analog Spike-Time-Dependent Encoder for Neuromorphic Processors. IEEE Trans. Very Large Scale Integr. Syst. 25(8): 2193-2205 (2017) - [c22]M. Amimul Ehsan, Hongyu An, Zhen Zhou, Yang Yi:
Adaptation of Enhanced TSV Capacitance as Membrane Property in 3D Brain-inspired Computing System. DAC 2017: 86:1-86:6 - [c21]Md. Amimul Ehsan, Zhen Zhou, Yang Yi:
Neuromorphic 3D Integrated Circuit: A Hybrid, Reliable and Energy Efficient Approach for Next Generation Computing. ACM Great Lakes Symposium on VLSI 2017: 221-226 - [c20]Jialing Li, Chenyuan Zhao, Kian Hamedani, Yang Yi:
Analog hardware implementation of spike-based delayed feedback reservoir computing system. IJCNN 2017: 3439-3446 - [c19]Hongyu An, M. Amimul Ehsan, Zhen Zhou, Yang Yi:
Electrical modeling and analysis of 3D synaptic array using vertical RRAM structure. ISQED 2017: 1-6 - [c18]Chenyuan Zhao, Jialing Li, Hongyu An, Yang Yi:
Energy efficient analog spiking temporal encoder with verification and recovery scheme for neuromorphic computing systems. ISQED 2017: 138-143 - [c17]Hongyu An, Zhen Zhou, Yang Yi:
3D memristor-based adjustable deep recurrent neural network with programmable attention mechanism. NCS 2017: 11:1-11:6 - [c16]M. Amimul Ehsan, Zhen Zhou, Yang Yi:
Hybrid three-dimensional integrated circuits: A viable solution for high efficiency Neuromorphic Computing. VLSI-DAT 2017: 1-2 - 2016
- [j9]Chenyuan Zhao, Jian Liu, Fangyang Shen, Yang Yi:
Low power CMOS power amplifier design for RFID and the Internet of Things. Comput. Electr. Eng. 52: 157-170 (2016) - [j8]Yang Yi, Yongbo Liao, Bin Wang, Xin Fu, Fangyang Shen, Hongyan Hou, Lingjia Liu:
FPGA based spike-time dependent encoder and reservoir design in neuromorphic computing processors. Microprocess. Microsystems 46: 175-183 (2016) - [j7]Chenyuan Zhao, Bryant T. Wysocki, Clare D. Thiem, Nathan R. McDonald, Jialing Li, Lingjia Liu, Yang Yi:
Energy Efficient Spiking Temporal Encoder Design for Neuromorphic Computing Systems. IEEE Trans. Multi Scale Comput. Syst. 2(4): 265-276 (2016) - [j6]Jingweijia Tan, Mingsong Chen, Yang Yi, Xin Fu:
Mitigating the Impact of Hardware Variability for GPGPUs Register File. IEEE Trans. Parallel Distributed Syst. 27(11): 3283-3297 (2016) - [c15]Hao Chen, Lingjia Liu, Nicholas Mastronarde, Liangping Ma, Yang Yi:
Cooperative Retransmission for Massive MTC under Spatiotemporally Correlated Interference. GLOBECOM 2016: 1-6 - [c14]Rachad Atat, Lingjia Liu, Jonathan D. Ashdown, Michael J. Medley, John D. Matyjas, Yang Yi:
Improving Spectral Efficiency of D2D Cellular Networks through RF Energy Harvesting. GLOBECOM 2016: 1-6 - [c13]Rachad Atat, Lingjia Liu, Yang Yi:
Privacy Protection Scheme for eHealth Systems: A Stochastic Geometry Approach. GLOBECOM 2016: 1-6 - [c12]Susanna Mosleh, Lingjia Liu, Hongyan Hou, Yang Yi:
Coordinated Data Assignment: A Novel Scheme for Big Data over Cached Cloud-RAN. GLOBECOM 2016: 1-6 - [c11]Chenyuan Zhao, Jialing Li, Yang Yi:
Making neural encoding robust and energy efficient: an advanced analog temporal encoder for brain-inspired computing systems. ICCAD 2016: 115 - [c10]Susanna Mosleh, Cenk Sahin, Lingjia Liu, R. Y. Zheng, Yang Yi:
An energy efficient decoding scheme for nonlinear MIMO-OFDM network using reservoir computing. IJCNN 2016: 1166-1173 - [c9]M. Amimul Ehsan, Hongyu An, Zhen Zhou, Yang Yi:
Design challenges and methodologies in 3D integration for neuromorphic computing systems. ISQED 2016: 24-28 - [c8]Chenyuan Zhao, Jialing Li, Lingjia Liu, Lakshmi Sravanthi Koutha, Jian Liu, Yang Yi:
Novel Spike based Reservoir Node Design with High Performance Spike Delay Loop. NANOCOM 2016: 14:1-14:5 - [c7]Hao Chen, Rubayet Shafin Bradley Shafin, Rachad Atat, Yang Yi, Lingjia Liu:
Performance Analysis on Nano-Networks: A Stochastic Geometry Approach. NANOCOM 2016: 36:1-36:2 - 2015
- [j5]Chenyuan Zhao, Bryant T. Wysocki, Yifang Liu, Clare Thiem, Nathan R. McDonald, Yang Yi:
Spike-Time-Dependent Encoding for Neuromorphic Processors. ACM J. Emerg. Technol. Comput. Syst. 12(3): 23:1-23:21 (2015) - [j4]Yan Li, Lingjia Liu, Hongxiang Li, Jianzhong Zhang, Yang Yi:
Resource Allocation for Delay-Sensitive Traffic Over LTE-Advanced Relay Networks. IEEE Trans. Wirel. Commun. 14(8): 4291-4303 (2015) - [c6]Wafi Danesh, Chenyuan Zhao, Bryant T. Wysocki, Michael J. Medley, Ngwe Thawdar, Yang Yi:
Channel estimation in wireless OFDM systems using reservoir computing. CISDA 2015: 1-5 - [c5]Chenyuan Zhao, Wafi Danesh, Bryant T. Wysocki, Yang Yi:
Neuromorphic encoding system design with chaos based CMOS analog neuron. CISDA 2015: 1-6 - [c4]M. Amimul Ehsan, Zhen Zhou, Yang Yi:
Three Dimensional Integration Technology Applied to Neuromorphic Hardware Implementation. iNIS 2015: 203-206 - 2014
- [j3]Lingjia Liu, Yang Yi, Jean-François Chamberland, Jianzhong Zhang:
Energy-Efficient Power Allocation for Delay-Sensitive Multimedia Traffic Over Wireless Systems. IEEE Trans. Veh. Technol. 63(5): 2038-2047 (2014) - 2013
- [j2]Jingweijia Tan, Yang Yi, Fangyang Shen, Xin Fu:
Modeling and characterizing GPGPU reliability in the presence of soft errors. Parallel Comput. 39(9): 520-532 (2013) - [c3]Yan Li, Lingjia Liu, Hongxiang Li, Ying Li, Yang Yi:
Adaptive resource allocation for heterogeneous traffic over heterogeneous relay networks. ICC 2013: 5431-5436 - 2012
- [j1]Lingjia Liu, Jianzhong (Charlie) Zhang, Yang Yi, Hongxiang Li, Jinyun Zhang:
Combating Interference: MU-MIMO, CoMP, and HetNet (Invited Paper). J. Commun. 7(9): 646-655 (2012) - 2011
- [c2]Siqian Liu, Hongxiang Li, Guanying Ru, Weiyao Lin, Lingjia Liu, Yang Yi:
Capacity of Multicarrier Multilayer Broadcast and Unicast Hybrid Cellular System with Independent Channel Coding over Subcarriers. VTC Fall 2011: 1-3 - 2010
- [c1]Fang Yi, Yang Yi, Lingjia Liu:
Optimal fusion scheme in wireless sensor networks under sum-rate capacity constraint. CISS 2010: 1-4
Coauthor Index
aka: Kang Jun Bai
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-23 19:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint