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ORCIDYang Yi 0002
Yang Cindy Yi
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
![[0000-0003-0926-4523]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0926-4523")
— 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
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2020 – today
- 2024
[j62]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)- [j61]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) - [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) - 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) - [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
Kangjun Bai
aka: Kang Jun Bai
aka: Kang Jun Bai
[j58] [j56] [i10] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [c57] [c54] [c51] [j47] [j46] [j45] [j44] [j43] [j42] [j40] [j39] [c49] [c43] [i9] [i8] [i7] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [c32] [i6] [i5] [i3] [j27] [j26] [j25] [c29] [c28] [c27] [j24] [j22] [j18] [j17] [j16] [j15] [c25] [c24] [c23] [i2] [i1] [j13] [j11] [j10] [j8] [j7] [c15] [c14] [c13] [c12] [c10] [c8] [c7] [j4] [j3] [c3] [j1] [c2] [c1]
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