Yang (Cindy) Yi's Publications

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Year 2019

• H. Chang, H. Song, Y. Yi, J. Zhang, H. He, and L. Liu ‘‘Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach,’’ IEEE Internet of Things Journal, vol. 6, no. 2, pp. 1983-1948, April 2019.
•  H. Chen, L. Liu, H. S. Dhillon, and Y. Yi, ‘‘QoS-Aware D2D Cellular Networks with Spatial Spectrum Sensing: A Stochastic Geometry View,’’ IEEE Transactions on Communications, vol. 67, issue 5, pp. 3651-3664, May 2019.
• H. An, Q. An, and Y. Yi, ‘‘Realizing Behavior Level Associative Memory Learning Through Three-Dimensional Memristor-Based Neuromorphic Circuits,’’ IEEE Transactions on Emerging Topics in Computational Intelligence, Early Access, Jul. 2019.
•  R. Atat, L. Liu, J. Wu, J. Ashdown, and Y. Yi, ‘‘Green massive traffic offloading for cyber-physical systems over heterogeneous cellular networks,’’ Mobile Networks and Applications, vol. 24, issue 4, pp. 1364-1372, Aug. 2019.
• C. Zhao, Q. An, K. Bai, B. Wysocki, C. Thiem, L. Liu, and Y. Yi, ‘‘Energy Efficient Temporal Spatial Information Processing Circuits Based on STDP and Spike Iteration,’’ IEEE Transactions on Circuits and Systems II: Express Briefs, Early Access, Oct. 2019.
•  K. Bai, Q. An, L. Liu, and Y. Yi, ‘‘A Training-Efficient Hybrid-Structured Deep Neural Network With Reconfigurable Memristive Synapses,’’ IEEE Transactions on Very Large Scale Integration (VLSI) Systems            , Early Access, Oct. 2019.
•  K. Hamedani, L. Liu, S. Hu, J. Ashdown, J. Wu, and Y. Yi, ‘‘Detecting Dynamic Attacks in Smart Grids Using Reservoir Computing: A Spiking Delayed Feedback Reservoir Based Approach,’’ IEEE Transactions on Emerging Topics in Computational Intelligence, Early Access, Oct. 2019.
• M. Liu, L. Liu, H. Song, Y. Hu, Y. Yi, and F. Gong, ‘‘Signal Estimation in Underlay Cognitive Networks for Industrial Internet of Things,’’ IEEE Transactions on Industrial Informatics, Early Access, Nov. 2019.
• H. Song, J. Bai, Y. Yi, J. Wu, L. Liu, “Artificial Intelligence Enabled Internet of Things: Network Architecture and Spectrum Access,” Accepted, IEEE Computational Intelligence Magazine (CIM), 2019.
• Q. An, K. Bai, Y, Yi, “A Unified Information Perceptron using Deep Reservoir Computing
  Journal: Computers and Electrical Engineering,” Accepted, Computers & Electrical Engineering - Journal – Elsevier, 2019.
• F. Shen, J. Roccosalvo, J. Zhang, Y. Yi, Y. Ji, K. Guo, A. M. Kok, and, Y. Han, “STEM Education Enrichment in NYC,” in 16th International Conference on Information Technology-New Generations (ITNG 2019), pp. 277-282, May 2019.
• H. Song, L. Liu, H. Chang, J. Ashdown, Y. Yi, “Deep Q-Network Based Power Allocation Meets Reservoir Computing in Distributed Dynamic Spectrum Access Networks,” in IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) pp. 774-779, April 2019,.
• K. Bai, Q.  An, Y. Yi, “Deep-DFR: A Memristive Deep Delayed Feedback Reservoir Computing System with Hybrid Neural Network Topology,” in DAC '19 Proceedings of the 56th Annual Design Automation Conference 2019, June 2019.
• C. Zhao, L. Liu, Y. Yi, “Design and Analysis of Real Time Spiking Neural Network Decoder for Neuromorphic Chips,” in ICONS '19 Proceedings of the International Conference on Neuromorphic Systems, Jul. 2019.
• K. Bai, S. Liu, Y. Yi, “High speed and energy efficient deep neural network for edge computing,” in SEC '19 Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, pp. 347-349, Nov. 2019.
• K. Hamedani, S. Liu, Y. Yi, “Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing,” Accepted, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) 
• Z. Zhou, L. Liu, J. Zhang, J. Ashdown, Y. Yi, “Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection,” Accepted, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) 
• S. Liu, V. Gan, Y, Liang, Y. Yi, “Accurate and Efficient Quantized Reservoir Computing System,” Accepted, 2020 21th International Symposium on Quality Electronic Design (ISQED).
• H. Song, L. Liu, H. Chang, J. Ashdown, Y. Yi, “Maximizing System Throughput in D2D Networks using Alternative DC Programming,” Accepted, IEEE Global Communications Conference (GLOBECOM), 2019.
• H. An, K. Bai, and Y. Yi, “The roadmap to realize memristive three-dimensional neuromorphic computing system,” in Advances in MemristorNeural Networks-Modeling and Applications. London, U.K.: IntechOpen, 2019.
• K. Bai and Y. Yi, "Opening the “Black Box” of Silicon Chip Design in Neuromorphic Computing," in Bio-Inspired Technology: IntechOpen, 2019.

Year 2018

• C. Zhao, K. Hamedani, J. Li, Y. Yi, “Analog Spike-timing-dependent Resistive Crossbar Design for Brain Inspired Computing," IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 8, no. 1, pp. 38 - 50, 2018.
• K. Hamedani, L. Liu, R. Atat, J. Wu, Y. Yi, “Reservoir Computing Meets Smart Grids: Attack Detection using Delayed Feedback Networks," IEEE Transactions on Industrial Informatics (TII), vol. 14, no. 2, pp. 734 - 743, 2018.
• H Chen, L Liu, HS Dhillon, Y Yi, QoS-Aware D2D Cellular Networks with Spatial Spectrum Sensing: A Stochastic Geometry View, early access, IEEE Transactions on Communications, 2018.
• H An, K Bai, Y Yi, The Roadmap to Realize Memristive Three-Dimensional Neuromorphic Computing System,Advances in Memristor Neural Networks-Modeling and Applications, book Chapter, IntechOpen, 2018
• R. Atat, L. Liu, J. Ashdown, M. J. Medley, J. D. Matyjas, Y. Yi, "A Physical Layer Security Scheme for Mobile Health Cyber-Physical Systems,” IEEE Internet of Things Journal, vol. 5, no. 1, pp. 295 - 309, 2018.
• H. Chang, H. Song, Y. Yi, J. Zhang, H. He, and L. Liu, “Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach,” IEEE Internet of Things Journal, early access, 2018.
• R. Atat, L. Liu, J. Wu, J. Ashdown, and Y. Yi, “Green Massive Traffic Offloading for Cyber-Physical Systems over Heterogeneous Cellular Networks,” ACM/Springer Journal of Mobile Networks and Applications, Early Access, 2018.
• J. Li, R. Atat, L. Liu, and Y. Yi, “Enabling Sustainable Cyber Physical Security Systems through Neuromorphic Computing,” IEEE Transactions on Sustainable Computing (T-SUSC), vol. 3, no. 2, pp. 112-125, 2018.
• A. Ehsan, H. An, Z. Zhou, Y. Yi, “A Novel Approach for using TSVs as Membrane Capacitance in Neuromorphic 3D," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 37, no. 8, pp. 1640 - 1653, 2018.
• K. Bai, and Y. Yi, “DFR: An Energy-efficient Analog Delay Feedback Reservoir Computing System for Brain-inspired Computing,” ACM Journal on Emerging Technologies in Computing Systems (JETC), vol. 14, no. 4, pp. 45-82, 2018.
• R. Atat, L. Liu, J. Wu, and Y. Yi, “Big Data Meet Cyber-Physical Systems: A Panoramic Survey,” IEEE Access, vol. 6, no. 1, pp. 73603-73636, 2018.
• S. Mosleh, L. Liu, C. Sahin, R. Zheng, Y. Yi, “Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 29, no. 10, pp. 4694 - 4708, 2018.
• K. Bai, J. Li, and Y. Yi, “Enabling a New Era of Brain-inspired Computing: Energy-efficient Spiking Neural Network with Ring Topology,” in Proceedings of IEEE/ACM Design Automation Conference (DAC), 2018.
• J. Li, K. Bai, L. Liu, and Y. Yi, “A Deep Learning Based Approach for Analog Hardware Implementation of Delayed Feedback Reservoir Computing System,” in Proceedings of IEEE International Symposium on Quality Electronic Design (ISQED), 2018. (Best Paper Award)
• R. Shafin, L. Liu, J. D Ashdown, J. D. Matyjas, M. M. Medley, B. Wysocki and Y. Yi, "Realizing Green Symbol Detection Via Reservoir Computing: An Energy-Efficiency Perspective", in Proceedings of IEEE International Conference on Communications (ICC) Green Communications Systems and Networks Symposium, 2018 (IEEE Transmission, Access, and Optical Systems Technical Committee (TAOS) Best Paper Award)
• K. Bai and Y. Yi, “A Path to Energy Efficient Spiking Delayed Feedback Reservoir Computing for Brain-inspired Neuromorphic Processors,” in Proceedings of IEEE International Symposium on Quality Electronic Design (ISQED), 2018.
• H. Jiang, H. He, L. Liu and Y. Yi, “Q-Learning for Non-Cooperative Channel Access Game of Cognitive Radio Networks,” in Proceedings of IEEE International Joint Conference on Neural Networks (IJCNN), 2018.
• F. Shen, J. Roccosalvo, J. Zhang, Y. Yi, and Y. Ji, “A New Approach for STEM Teacher Scholarship Implementation,” in Information Technology-New Generations, vol. 558, pp. 539-544, Springer, Cham, 2018.
• H. An, M. S. Al-Mamun, M. K. Orlowski, and Y. Yi, “Learning Accuracy Analysis of Memristor-based Nonlinear Computing Module on Long Short-term Memory,” in Proceedings of Neuromorphic Computing Symposium, 2018.

Year 2017

• S. Mosleh, L. Liu, C. Sahin, R. Zheng, and Y. Yi, "Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM",  IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (2017).
• A. Ehsan, H. An, Z. Zhou, and Y. Yi, "A Novel Approach for using TSVs as Membrane Capacitance in Neuromorphic 3D IC", IEEE Transaction on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol: PP, issue: 99 (2017).
• K. Hamedani, L. Liu, R. Atat, J. Wu, and Y. Yi, "Reservoir Computing Meets Smart Grids: Attack Detection using Delayed Feedback Networks", IEEE Transactions on Industrial Informatics (TII) (2017).
  
• H. An, A. Ehsan, Z. Zhou, F. Shen, and Y. Yi, "Monolithic 3D Neuromorphic Computing System with Hybrid CMOS and Memristor-based Synapses and Neurons", Integration, the VLSI Journal - Elsevier (2017).
  
• C. Zhao, K. Hamedani, J. Li, and Y. Yi, "Analog Spike-timing-dependent Resistive Crossbar Design for Brain Inspired Computing", IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) (2017).
• C. Zhao, Y. Yi, J. Li, and L. Liu, “Inter-Spike Intervals (ISI) based Analog Spike-Time- Dependent Encoder for Neuromorphic Processors,” IEEE Transactions on Very Large Scale Integration Systems (TVLSI) (2017).
• R. Atat, L. Liu, H. Chen, J. Wu, H. Li, and Y. Yi, “Enabling Cyber-Physical Communication in 5G Cellular Networks: Challenges, Spatial Spectrum Sensing, and Cyber-Security,” IET Cyber-Physical Systems: Theory & Applications, vol. 2, no. 1, pp. 49 – 54 (2017).
• H. An, J. Li, Y. Li, X. Fu, and Y. Yi, "Three Dimensional Memristor Based Neuromorphic Computing System and its Application to Cloud Robotics," Computers & Electrical Engineering an International Journal - Elsevier (2017).
• C. Xie, J. Tan, M. Chen, Y. Yi, L. Peng, X. Fu, “Emerging technology enabled energy-efficient GPGPUs register file,” Journal of Microprocessors and Microsystems - Elsevier, vol. 50, pp. 175-188 (2017).
• Y. Li, P. Fan, L. Liu, and Y. Yi, “Distributed MIMO Precoding for In-band Full-duplex Wireless Backhaul in Heterogeneous Networks,” IEEE Transactions on Vehicular Technology (TVT) (2017).
• A. Ehsan, H. An, Z. Zhou, and Y. Yi, “Adaptation of Enhanced TSV Capacitance as Membrane Property in 3D Brain-inspired Computing System,” in Proc. of IEEE/ACM Design Automation Conference (DAC) (2017).
• J. Li, R. Atat, L. Liu, and Y. Yi “Enabling Sustainable Cyber Physical Security Systems through Neuromorphic Computing,” IEEE Transactions on Sustainable Computing (T-SUSC) (2017).
• R. Atat, L. Liu, and Y. Yi, “Energy Harvesting-Based D2D-Assisted Machine-Type Communications,” IEEE Transactions on Communications (TCOM), vol. 65, no. 3, pp. 1289 – 1302 (2017).
• A. Ehsan, Z. Zhou, and Y, Yi, “Neuromorphic 3D Integrated Circuit: A Hybrid, Reliable and Energy Efficient Approach for Next Generation Computing,” in Proc. of ACM Great Lakes Symposium on VLSI, Best Paper Award Finalist (2017).
• H. An, M. Ehsan, Z. Zhou, and Y. Yi, "Electrical Modeling and Analysis of 3D Synaptic Array using Vertical RRAM Structure,” in Pro. of IEEE International Symposium on Quality Electronic Design (ISQED), Best Paper Award Finalist (2017).
  
• J. Li, C. Zhao, and Y. Yi, “Energy Efficient and Compact AnalogIntegrated Circuit Design for Delay-dynamical Reservoir Computing System,” Special Session in “Hardware in Reservoir Computing”, IEEE International Joint Conference on Neural Networks (IJCNN) (2017).
• H. An, Z. Zhou, and Y, Yi, “Opportunities and Challenges on Nanoscale 3D Neuromorphic Computing System,” in Proceedings of IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity (EMC-SIPI) (2017). 
• A. Ehsan, Z. Zhou, and Y, Yi, “Modeling and Analysis of Ion Transportation and Membrane Activities in 3D Neuromorphic Computing System,” in Proceedings of IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity (EMC-SIPI) (2017).
• C. Zhao, J. Li, and Y. Yi, "Energy efficient analog IC design for data compression in spiking neuromorphic systems," DAC Work-in-Progress Session (2017).
• C. Zhao, J. Li, and Y. Yi, “Analog Spiking Temporal Encoder with Inter-spike Intervals with Verification and Recovery Scheme for Neuromorphic Computing Systems,” in Proceedings of IEEE International Symposium on Quality Electronic Design (ISQED) (2017).
• A. Ehsan, Z. Zhou, and Y. Yi, “3D Integration Meets Neuromorphic Computing: A Novel Way to Reach a High Performance and Energy Efficient Computing System,” in Proceedings of IEEE International Symposium on VLSI Design, Automation and Test (VLSI-DAT) (2017).
• H. An, Z. Zhou, and Y. Yi, “Memristor-Based 3D Neuromorphic Computing System and Its Application to Associative Memory Learning,” in Proceedings of IEEE Nanotechnology Conference (2017).
  
• H. An, Z. Zhou, and Y. Yi, “3D Memristor-based Adjustable Deep Recurrent Neural Network with Programmable Attention Mechanism,” in Proceedings of Neuromorphic Computing Symposium (2017).
  
• C. Zhao, J. Li, H. An, and Y. Yi, “When Energy Efficient Spike-Based Temporal Encoding Meets Resistive Crossbar: From Circuit Design to Application,” in Proceedings of Neuromorphic Computing Symposium (2017).

Year 2016

• C. Zhao, J. Li, and Y. Yi, “Making neural encoding robust and energy-efficient: an advanced analog temporal encoder for brain-inspired computing systems,” in Computer-Aided Design (ICCAD), 2016 IEEE/ACM International Conference, pp. 1-6 (2016).
• J. Tan, M. Chen, Y. Yi, and X. Fu, “Mitigating the impact of hardware variability for GPGPUs register file,” IEEE Transactions on Parallel and Distributed Systems (PDS), vol. pp, no. 99 (2016).
• R. Atat, L. Liu, J. Ashdown, M. Medley, J. Matyjas, and Y. Yi, “Improving Spectral Efficiency of D2D Cellular Networks Through RF Energy Harvesting,” in Global Communications Conference (GLOBECOM), pp. 1-6, Best Paper Award (2016).
• C. Zhao, B. Wysocki, C. Thiem, N. McDonald, J. Li, and Y. Yi, “Energy Efficient Spiking Temporal Encoder Design for Neuromorphic Computing Systems,” IEEE Transactions on Multi-Scale Computing Systems (TMSCS), vol. 2, no. 4, pp. 265 - 276 (2016).
• Y. Yi, Y. Liao, B. Wang, X. Fu, F. Shen, and H. Hou, “FPGA based Spike Time Dependent Encoder and Reservoir Design in Neuromorphic Computing Processors,” Journal of Microprocessors and Microsystems: Embedded Hardware Design - Elsevier, vol. 46, Part B, pp. 175-183 (2016).
• C. Zhao, J. Liu, F. Shen, and Y. Yi, “Low Power CMOS Power Amplifier Design for RFID and the Internet of Things,” Computers & Electrical Engineering an International Journal - Elsevier, vol. 52, pp. 157-170 (2016).
• M. Amimul Ehsan*, Z. Zhou, L. Liu, and Y. Yi, “An Analytical Through Silicon Via (TSV) Surface Roughness Model Applied to a Millimeter Wave 3-D IC,” IEEE Transactions on Electromagnetic Capability (TEMC), vol. 57, no. 4, pp. 815-826 (2016).
  
• R. Atat, L. Liu, and Y. Yi, “Privacy Protection Scheme for eHealth Systems: A Stochastic Geometry Approach,” in Global Communications Conference (GLOBECOM), pp. 1-6 (2016).
• H. An, A. Ehsan, Z. Zhou, and Y. Yi, “Electrical Modeling and Analysis of 3D Neuromorphic IC with Monolithic Inter-tier Vias,” in Electrical Performance Of Electronic Packaging And Systems (EPEPS), 2016 IEEE 25th Conference, pp. 87-90 (2016).
• S Mosleh, H. Hou, L. Liu, and Y. Yi, “Coordinated Data Assignment: A Novel Scheme for Big Data over Cached Cloud-RAN,” in Global Communications Conference (GLOBECOM), pp. 1-6 (2016).
• S Mosleh, C Sahin, L Liu, R Zheng, and Y Yi, “An Energy Efficient Decoding Scheme for nonlinear MIMO-OFDM Network using Reservoir Computing,” in Neural Networks (IJCNN), 2016 International Joint Conference, pp. 1166-1173 (2016).
• C. Zhao, J. Li, L. Liu, and Y. Yi, “Novel Spike Based Reservoir Node Design with High Performance Spike Delay Loop,” in Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, p. 14 (2016) 
• A. Ehsan, H. An, Z. Zhou, and Y, Yi, “Design Challenges and Methodologies in 3D Integration for Neuromorphic Computing Systems,” in Quality Electronic Design (ISQED), 2016 17th International Symposium, pp. 24-28 (2016).
• H. Chen, L. Liu, N. Mastronarde, L. Ma, and Y. Yi, “Cooperative Retransmission for Massive MTC under Spatiotemporally Correlated Interference,” in Global Communications Conference (GLOBECOM), pp. 1-6 (2016).
• H. Chen, R. Atat, L. Liu, and Y. Yi “Performance Analysis on Nano-Networks: A Stochastic Geometry Approach,” in Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, p. 36 (2016).
• A. Ehsan, Z. Zhou, and Y, Yi, “Modeling and Optimization of TSV for Crosstalk Mitigation in 3D Neuromorphic System,” in Electromagnetic Compatibility, Signal and Power Integrity (EMC), 2016 IEEE International Symposium, pp. 621-626 (2016).

Year 2015

• C. Zhao, B. T. Wysocki, Y. Liu, C. D. Thiem, N. R. McDonald, and Y. Yi, “Spike-Time-Dependent Encoding for Neuromorphic Processors,” ACM Journal on Emerging Technologies in Computing Systems (JETC), vol. 12, no. 3, pp. 23-46 (2015).
• M. Amimul Ehsan, Z. Zhou, and Y. Yi, “Analytical Modeling and Analysis of Through Silicon Vias (TSVs) in High Speed Three-Dimensional System Integration,” Progress in Electromagnetics Research (PIER) Journal, M, vol. 42, 49-59 (2015).
• Y. Li, L. Liu, H. Li, J. Zhang, and Y. Yi, “Resource Allocation for Delay-Sensitive Traffic over LTE-Advanced Relay Networks,” IEEE Transactions on Wireless Communications (TWC), vol. 14, no. 8, pp. 4291-4303 (2015).
• M. Amimul Ehsan, Z. Zhou, and Y. Yi, “Development of an Equivalent Circuit Model of a Finite Ground Coplanar Waveguide Interconnect in MIS System for Ultra-Broadband Monolithic ICs,” Progress in Electromagnetics Research (PIER) Journal, vol. 56, pp. 1-13 (2015).
• C. Zhao, W. Danesh, B. T. Wysocki, and Y. Yi, "Neuromorphic Encoding System Design with Chaos Based CMOS Analog Neuron,” in Computational Intelligence for Security and Defense Applications (CISDA), 2015 IEEE Symposium, pp. 1-6 (2015).
• A. Ehsan, Z. Zhou, and Y. Yi, “Three Dimensional Integration Technology Applied to Neuromorphic Hardware Implementation,” in Nanoelectronic and Information Systems (iNIS), 2015 IEEE International Symposium, pp. 203-206 (2015).
• W. Danesh, C. Zhao, B. T. Wysocki, M. J. Medley, N. Thawdar, and Y. Yi, “Channel Estimation in Wireless OFDM Systems Using Reservoir Computing,” in Computational Intelligence for Security and Defense Applications (CISDA), 2015 IEEE Symposium, pp. 1-5 (2015).

Year 2014

• L. Liu, Y. Yi, J.-F. Chamberland, and J. Zhang, “Energy-Efficient Power Allocation for Delay-Sensitive Multimedia Traffic over Wireless Systems,” IEEE Transactions on Vehicular Technology (TVT), vol. 63, no. 5, pp.2038-2047 (2014).
• H. Chen, L. Liu, Y. Li, B. Yu, L. Shi, and Y. Yi, “Device-to-device communications in cellular networks,” IEEE COMSOC MMTC E-Letter, vol. 9, no. 1, pp. 29-33 (2014).
• A. Ehsan, Z. Zhou, and Y. Yi, “A Simple Equivalent Circuit Model of Finite Ground Coplanar Waveguide (FGCPW) on MIS for Broadband Monolithic Photodiode Application,” in Proceedings of Progress in Electromagnetic Research Symposium (2014).
• A. Ehsan, Z. Zhou, and Y. Yi, “Electrical Modeling and Analysis of Sidewall Roughness of through Silicon Vias in 3D Integration,” in Proceedings of IEEE International conference on Electromagnetic Compatibility (EMC), pp. 52-56 (2014).
• C. Zhao, Z. Zhou, Y. Lee, and Y. Yi, “Comprehensive Ultra-broadband Design and Mode Suppression Techniques for Bends in a Differential Pair,” in Proceedings of Progress in Electro-magnetic Research Symposium (2014).
• A. Ehsan, M. K. Siddiki, and Y. Yi, “Numerical analysis and optimum design of efficient μc-Si/μc-Si1−xGexthin-film solar cells,” in Proceedings of IEEE Photovoltaic Specialist Conference (PVSC), pp. 1321-1325 (2014).
• A. Ehsan, Z. Zhou, and Y. Yi, “Comprehensive Study of Through Silicon Via (TSV) Modeling and Analysis in High Speed Three Dimensional Integrated Circuits (3D IC)” in Proceedings of Progress in Electromagnetic Research Symposium (2014).
  

Year 2013

• Y. Yi, Y. Zhou, X. Fu, and F. Shen, “Modeling Differential Through-Silicon-Vias (TSVs) with Voltage Dependent and Nonlinear Capacitance,” Journal of Selected Areas in Microelectronics (JSAM), Cyber Journals, vol.3, no. 6, pp. 1-9 (2013).
• J. Tan, Y. Yi, F. Shen, and X. Fu, “Modeling and Characterizing GPGPU Reliability in the Presence of Soft Errors,” Journal of Parallel Computing - Elsevier, vol. 39, no. 9, pp. 520-532 (2013).
  Y. Yi and Y. Zhou, “Differential TSV Modeling and Design Optimization to Benefit 3D IC Performance,” in Proceedings of IEEE Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), pp. 195-198 (2013).
• Y. Yi and Y. Zhou, “A Novel Circuit Model for Multiple Through-Silicon-Vias (TSVs),” in Proceedings of IEEE International Conference on 3D System Integration (3D IC), pp. 51-54 (2013).

Year 2012

• L. Liu, J. Zhang, Y. Yi, H. Li, and J. Zhang, “Combating Interference: MU-MIMO, CoMP, and HetNet,” Journal of Communications, Academy Publisher, vol. 7, no. 9, pp. 646-655 (2012).

Year 2011

• Y. Yi, M. Chen, G. Yu, Y. Zhou, and D. Ma, “Modeling and Optimizing Differential Signaling for Reducing Crosstalk Noise,” in VLSI Design, Automation and Test (VLSI-DAT), 2011 International Symposium, Best Paper Finalist (2011).
• S. Liu, H. Li, G. Ru, W. Lin, L. Liu, and Y. Yi, “Capacity of Multicarrier Multilayer Broadcast and Unicast Hybrid Cellular System with Independent Channel Coding over Subcarriers,” in Vehicular Technology Conference (VTC Fall), pp. 1-3 (2011).
• M. Chen, Y. Yi, and W. Zhao, “Variation-Aware Deep Nanometer Gate Performance Modeling: An Analytical Approach,” in VLSI Design, Automation and Test (VLSI-DAT), 2011 International Symposium on, pp. 1-4 (2011).

Year 2010

• F. Yi, Y. Yi, and L. Liu, “Optimal fusion scheme in wireless sensor networks under sum-rate capacity constraint,” in Information Sciences and Systems (CISS), 2010 44th Annual Conference, pp. 1-4 (2010).

Year 2009

• Y. Yi, R. Wenzel, V. Sarin, and W. Shi, “Inductance Extraction for Interconnects in the Presence of Nonlinear Magnetic Materials,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 28, no. 7, pp. 1106-1110 (2009).
• Y. Yi, Y. Liu, Y. Zhou, and W. Becker, “Minimizing crosstalk in high-speed differential buses by optimizing power/ground and signal assignment,” in Electrical Performance of Electronic Packaging and Systems, IEEE 18th Conference, pp. 255-258 (2009).

Year 2008

• Y. Yi, P. Li, V. Sarin, and W. Shi, “A Preconditioned Hierarchical Algorithm for Impedance Extraction of Three-Dimensional Structures With Multiple Dielectrics,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 27, no. 11, pp. 1918-1927 (2008).
• Y. Yi, V. Sarin, and W. Shi, “An efficient inductance extraction algorithm for 3-D interconnects with frequency dependent nonlinear magnetic materials,” in Electrical Performance of Electronic Packaging, pp. 217-220 (2008).
• Y. Yi, S. Yan, V. Sarin, and W. Shi, “Development of Fast 3D Parasitic Extraction using Hierarchical Method for Integrated Circuits and Packages,” in Antennas and Propagation Society International Symposium, pp. 1-4 (2008).
• Y. Yi, and W. Shi, “Algorithmic Techniques for Parasitic Extraction of 3D VLSI Circuits,” in 11th Annual ACM/SIGDA Ph.D. Forum at IEEE Design Automation Conference (2008).

Year 2007

• Y. Yi, P. Li, V. Sarin, and W. Shi, “Impedance Extraction for 3D Structures with Multiple Dielectrics using Preconditioned Boundary Element Method,” in Proceedings of IEEE/ACM International Conference on Computer-Aided Design (ICCAD), pp. 7-10 (2007).

Year 2006

• Y. Yi, V. Sarin, and W. Shi, “A Preconditioned Hierarchical Algorithm for Impedance Extraction of Interconnects,” in Electrical Performance of Electronic Packaging, pp. 99-102, Best Student Paper Finalist (2006).