All publications also available on Google Scholar.

Editor of Books

  1. Intelligent System and Computing. Edited by: Y. Yi. ISBN 978-1-83880-522-7, eISBN 978-1-83880-523-4, Published:2020
  2. Yi, Y., Neuromorphic Computing. IntechOpen. 2023.

Chapters of Books

  1. Yi, Y., & Zheng, H.* “Spiking Neural Encoding for Neuromorphic Computing,” In Neuromorphic Computing,” IntechOpen, 2023.
  2. Yi, Y., & Nowshin, F.* “ReRAM-Based Neuromorphic Computing,” In Frontiers of Quality Electronic Design (QED). Frontiers of Quality Electronic Design (QED): Frontiers. 
  3. S. Liu*, Y. Yi, “Quantized Neural Networks and Neuromorphic Computing for Embedded Systems,” 10.5772/intechopen.91835, 2020.
  4. K. Bai*, Y. Yi, “Opening the “Black Box” of Silicon Chip Design in Neuromorphic Computing,” Bio-Inspired Technology, IntechOpen, 2019.
  5. S. Liu*, Y. Yi, “Quantized Neural Networks and Neuromorphic Computing for Embedded Systems,” Intelligent System and Computing, IntechOpen, 2019.
  6. H. An*, K. Bai*, and Y. Yi, “The Roadmap to Realize Memristive Three- Dimensional Neuromorphic Computing System,” Advances in Memristor Neural Networks-Modeling and Applications, IntechOpen, 2019.

Technical Reports and Patents

  1. Y. Yi, " Enabling Brain-Inspired Processors through Energy-Efficient Delayed Feedback Reservoir Computing Integrated Circuits", Virginia Polytechnic Institute and State University Blacksburg United States (2021).
  2. Y. Yi, and University of Kansas Center for Research, Inc. "Analog integrated circuit design for spike time dependent encoder and reservoir in reservoir computing processors." University of Kansas Center for Research, Inc. Lawrence United States (2018).
  3. X. Deng, Y. Yi, and W. Loh, “Functional Screening of Static Random-Access Memories Using an Array Bias Voltage,” United States Patent and Trademark Office (USPTO) (Patent No.: 9,208,832, Patent Publication No.: 20130176772), 2015. 

Selected Journal Articles

Supervised students are delineated with an asterisk

  1. Zheng, Honghao*, Kang Jun Bai*, and Y. Yi. "Enabling a new methodology of neural coding: Multiplexing temporal encoding in neuromorphic computing." IEEE Transactions on Very Large-Scale Integration (VLSI) Systems 31.3 (2023): 331-342.
  2. Gaurav, R.*, Stewart, T. C., & Yi, Y. (2023). “Reservoir based spiking models for univariate Time Series Classification,” Frontiers in Computational Neuroscience, 17, 1148284.
  3. Kang Jun Bai*, Clare Thiem, Jack Lombardi, Yibin Liang, and Y. Yi, “Design Strategies and Applications of Reservoir Computing: Recent Trends and Prospects,” Accepted, IEEE Circuits and Systems Magazine, 2023,
  4. Shen, Fangyang, Janine Roccosalvo, Jun Zhang, Yun Tian, and Y. Yi. "Online technological STEM education project management." Education and information technologies (2023): 1-21.
  5. Jere, Shashank*, Yifei Song, Y. Yi, and L. Liu. "Distributed Learning Meets 6G: A Communication and Computing Perspective." IEEE Wireless Communications 30, no. 1 (2023): 112-117. 
  6. Li, Lianjun*, L. Liu, Zhou Zhou*, and Y. Yi. "Reservoir computing meets extreme learning machine in real-time MIMO-OFDM receive processing." IEEE Transactions on Communications 70, no. 5 (2022): 3126-3140.
  7. Liu, Shiya*, L. Liu, and Y. Yi. "Quantized Reservoir Computing for Spectrum Sensing With Knowledge Distillation." IEEE Transactions on Cognitive and Developmental Systems 15.1 (2022): 88-99.
  8. Zhou, Zhou*, Kangjun Bai*, Nima Mohammadi*, Y. Yi, and L. Liu. "Making intelligent reflecting surfaces more intelligent: A roadmap through reservoir computing." IEEE Network 36, no. 2 (2022): 175-180.
  9. Bai, Kangjun*, L. Liu, and Y. Yi. "Spatial-temporal hybrid neural network with computing-in-memory architecture." IEEE Transactions on Circuits and Systems I: Regular Papers 68, no. 7 (2021): 2850-2862.
  10. Bai, Jianan*, Hao Song, Y. Yi, and L. Liu. "Multiagent reinforcement learning meets random access in massive cellular Internet of Things." IEEE Internet of Things Journal 8, no. 24 (2021): 17417-17428.
  11. Liu, Shiya*, Dong Sam Ha, Fangyang Shen, and Y. Yi. "Efficient neural networks for edge devices." Computers & Electrical Engineering 92 (2021): 107121.
  12. Shang, Bodong*, Y. Yi, and L. Liu. "Computing over space-air-ground integrated networks: Challenges and opportunities." IEEE Network 35, no. 4 (2021): 302-309.
  13. Chang, Hao-Hsuan*, L. Liu, Jianan Bai, Alex Pidwerbetsky, Allan Berlinsky, Joe Huang, Jonathan D. Ashdown, Kurt Turck, and Y. Yi. "Resource allocation for d2d cellular networks with qos constraints: A DC programming-based approach." IEEE Access 10 (2021): 16424-16438.
  14. An, Hongyu*, Mohammad Shah Al-Mamun, Marius K. Orlowski, L. Liu, and Y. Yi. "Three-dimensional neuromorphic computing system with two-layer and low-variation memristive synapses." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 41, no. 3 (2021): 400-409.
  15. Fan, Qiang, Jianan Bai*, Hongxia Zhang, Y. Yi, and L. Liu. "Delay-aware resource allocation in fog-assisted IoT networks through reinforcement learning." IEEE Internet of Things Journal 9, no. 7 (2021): 5189-5199.
  16. Mohammadi, Nima*, Jianan Bai*, Qiang Fan, Yifei Song, Y. Yi, and L. Liu. "Differential privacy meets federated learning under communication constraints." IEEE Internet of Things Journal 9, no. 22 (2021): 22204-22219.
  17. Victor M. Gan*, Yibin Liang*, Lianjun Li*, Y. Yi, "A Cost-Efficient Digital ESN Architecture on FPGA for OFDM Symbol Detection", ACM Journal on Emerging Technologies in Computing Systems, Volume 17Issue 4Article No.: 47, pp 1–15.
  18. S. Liu*, L. Liu and Y. Yi, "Quantized Reservoir Computing on Edge Devices for Communication Applications," 2020 IEEE/ACM Symposium on Edge Computing (SEC), San Jose, CA, USA, 2020, pp. 445-449.
  19. Z. Zhou*, L. Liu, S. Jere*, J. Zhang and Y. Yi, "RCNet: Incorporating Structural Information Into Deep RNN for Online MIMO-OFDM Symbol Detection With Limited Training," in IEEE Transactions on Wireless Communications, vol. 20, no. 6, pp. 3524-3537, June 2021.
  20. H. Song*, L. Liu, J. Ashdown and Y. Yi, "A Deep Reinforcement Learning Framework for Spectrum Management in Dynamic Spectrum Access," in IEEE Internet of Things Journal, vol. 8, no. 14, pp. 11208-11218, July, 2021.
  21. H. Song*, J. Bai*, Y. Yi, J. Wu and L. Liu, "Artificial Intelligence Enabled Internet of Things: Network Architecture and Spectrum Access," in IEEE Computational Intelligence Magazine, vol. 15, no. 1, pp. 44-51, Feb. 2020.
  22. An, Qiyuan*, Kangjun Bai*, L. Liu, Fangyang Shen, and Y. Yi. "A unified information perceptron using deep reservoir computing." Computers & Electrical Engineering 85 (2020): 106705.
  23. Zhou Zhou*, L. Liu, Shashank Jere*, Jianzhong (Charlie)Zhang, Y. Yi, "RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training"
  24. Chang, Hao-Hsuan*, L. Liu, and Y. Yi. "Deep echo state Q-network (DEQN) and its application in dynamic spectrum sharing for 5G and beyond." IEEE Transactions on Neural Networks and Learning Systems 33, no. 3 (2020): 929-939.
  25. C. Zhao*, L. Liu, and Y. Yi, "Energy Efficient Temporal Spatial Information Processing Circuits Based on STDP and Spike Iteration," in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 10, pp. 1715-1719, Oct. 2020.
  26. Hamedani, Kian*, L. Liu, and Y. Yi. "Energy efficient MIMO-OFDM spectrum sensing using deep stacked spiking delayed feedback reservoir computing." IEEE Transactions on Green Communications and Networking 5, no. 1 (2020): 484-496.
  27. Qiyuan An*, Kangjun Bai*, L. Liu, Fangyang Shen, and Y. Yi, "A unified information perceptron using deep reservoir computing", Computers & Electrical Engineering.
  28. H. An*, M. S. Al-Mamun, M. K. Orlowski, L. Liu and Y. Yi, "Robust Deep Reservoir Computing Through Reliable Memristor With Improved Heat Dissipation Capability," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 40, no. 3, pp. 574-583, March 2021, 
  29. J. Zhang, L. Liu, M. Liu, Y. Yi, Q. Yang and F. Gong, "MIMO Spectrum Sensing for Cognitive Radio-Based Internet of Things," in IEEE Internet of Things Journal, vol. 7, no. 9, pp. 8874-8885, Sept. 2020, doi: 10.1109/JIOT.2020.2997707.
  30. K. Bai*, Y. Yi, Z. Zhou*, S. Jere* and L. Liu, "Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network," in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 10, no. 2, pp. 253-263, June 2020.
  31. Li, L.*, Liu, L., Bai, J.*, Chang, H. H.*, Chen, H., Ashdown, J. D., ... & Yi, Y. "Accelerating Model-Free Reinforcement Learning With Imperfect Model Knowledge in Dynamic Spectrum Access," in IEEE Internet of Things Journal, vol. 7, no. 8, pp. 7517-7528, Aug. 2020.
  32. Hamedani, Kian*, L. Liu, Shiyan Hu, Jonathan Ashdown, Jinsong 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 4, no. 3 (2019): 253-264.
  33. Liu, Mingqian, L. Liu, Hao Song*, Yaohua Hu, Y. Yi, and Fengkui Gong. "Signal estimation in underlay cognitive networks for industrial Internet of Things." IEEE Transactions on Industrial Informatics 16, no. 8 (2019): 5478-5488.
  34. An, Hongyu*, Qiyuan 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 5, no. 4 (2019): 668-678.
  35. An, Hongyu*, M. Amimul Ehsan*, Zhen Zhou, Fangyang Shen, and Y. Yi. "Monolithic 3D neuromorphic computing system with hybrid CMOS and memristor-based synapses and neurons." Integration 65 (2019): 273-281.
  36. H. -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," in IEEE Internet of Things Journal, vol. 6, no. 2, pp. 1938-1948, April 2019.
  37. K. Bai*, Q. An*, L. Liu and Y. Yi, "A Training-Efficient Hybrid-Structured Deep Neural Network With Reconfigurable Memristive Synapses," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 28, no. 1, pp. 62-75, Jan. 2020.
  38. J. Li* L. Liu, C. Zhao, K. Hamedani*, R. Atat* and Y. Yi, "Enabling Sustainable Cyber Physical Security Systems through Neuromorphic Computing," in IEEE Transactions on Sustainable Computing, vol. 3, no. 2, pp. 112-125, 1 April-June 2018.
  39. Y. Li, P. Fan, L. Liu and Y. Yi, "Distributed MIMO Precoding for In-Band Full-Duplex Wireless Backhaul in Heterogeneous Networks," in IEEE Transactions on Vehicular Technology, vol. 67, no. 3, pp. 2064-2076, March 2018.
  40. Bai, Kangjun*, 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) 14, no. 4 (2018): 1-22.
  41. Yi, Yang, and Dhireesha Kudithipudi. "Neuromorphic and cognitive computing and communication in hardware." Nano communication networks 16 (2018): 10-11.
  42. H. Chen*, L. Liu, H. S. Dhillon and Y. Yi, "QoS-Aware D2D Cellular Networks With Spatial Spectrum Sensing: A Stochastic Geometry View," in IEEE Transactions on Communications, vol. 67, no. 5, pp. 3651-3664, May 2019.
  43. Atat, Rachad*, L. Liu, Jinsong Wu, Jonathan Ashdown, and Y. Yi. "Green massive traffic offloading for cyber-physical systems over heterogeneous cellular networks." Mobile Networks and Applications 24 (2019): 1364-1372.
  44. Atat, Rachad*, L. Liu, Jinsong Wu, Guangyu Li, Chunxuan Ye, and Y. Yi. "Big data meet cyber-physical systems: A panoramic survey." IEEE Access 6 (2018): 73603-73636.
  45. R. Atat*, L. Liu, N. Mastronarde* and Y. Yi, "Energy Harvesting-Based D2D-Assisted Machine-Type Communications," in IEEE Transactions on Communications, vol. 65, no. 3, pp. 1289-1302, March 2017.
  46. Atat, R.*, Liu, L., Chen, H.*, Wu, J., Li, H., & Y. Yi (2017). Enabling cyber‐physical communication in 5G cellular networks: challenges, spatial spectrum sensing, and cyber‐security. IET Cyber‐Physical Systems: Theory & Applications, 2(1), 49-54.
  47. C. Zhao*, Y. Yi, J. Li, X. Fu and L. Liu, "Interspike-Interval-Based Analog Spike-Time-Dependent Encoder for Neuromorphic Processors," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 25, no. 8, pp. 2193-2205, Aug. 2017, doi: 10.1109/TVLSI.2017.2683260.
  48. Xie, C.; Tan, J.; Chen, M.; Y. Yi; Peng, L.; Fu, X. Emerging Technology Enabled Energy-Efficient Gpgpus Register File. Microprocessors and Microsystems 2017, 50, 175–188.
  49. Hamedani, Kian*, L. Liu, Rachad Atat*, Jinsong Wu, and Y. Yi. "Reservoir computing meets smart grids: Attack detection using delayed feedback networks." IEEE Transactions on Industrial Informatics 14, no. 2 (2017): 734-743.
  50. An, Hongyu*, Jialing Li*, Ying Li, Xin Fu, and Y. Yi. "Three dimensional memristor-based neuromorphic computing system and its application to cloud robotics." Computers & Electrical Engineering 63 (2017): 99-113.
  51. Ehsan, M. Amimul*, Hongyu An*, Zhen Zhou, and Y. Yi. "A novel approach for using TSVs as membrane capacitance in neuromorphic 3-D IC." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 37, no. 8 (2017): 1640-1653.
  52. Zhao, Chenyuan*, Kian Hamedani*, Jialing 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 8, no. 1 (2017): 38-50. 
  53. Mosleh, Somayeh Susanna*, L. Liu, Cenk Sahin, Yahong Rosa Zheng, and Y. Yi. "Brain-inspired wireless communications: Where reservoir computing meets MIMO-OFDM." IEEE transactions on neural networks and learning systems 29, no. 10 (2017): 4694-4708.
  54. Atat, Rachad*, L. Liu, Jonathan Ashdown, Michael J. Medley, John D. Matyjas, and Y. Yi. "A physical layer security scheme for mobile health cyber-physical systems." IEEE Internet of Things Journal 5, no. 1 (2017): 295-309.
  55. Zhao, C.*, Wysocki, B. T., Thiem, C. D., McDonald, N. R., Li, J., Liu, L., & Y. Yi, "Energy Efficient Spiking Temporal Encoder Design for Neuromorphic Computing Systems," in IEEE Transactions on Multi-Scale Computing Systems, vol. 2, no. 4, pp. 265-276, 1 Oct.-Dec. 2016.
  56. Zhao, C.*, Liu, J., Shen, F., & Y. Yi (2016). Low power CMOS power amplifier design for RFID and the Internet of Things. Computers & Electrical Engineering, 52, 157-170.
  57. J. Tan, M. Chen, Y. Yi and X. Fu, "Mitigating the Impact of Hardware Variability for GPGPUs Register File," in IEEE Transactions on Parallel and Distributed Systems, vol. 27, no. 11, pp. 3283-3297, 1 Nov. 2016.
  58. Zhang, T., Li, S., Xia, M., Y. Yi, & Shen, Q. (2016). Adaptive output feedback control of nonlinear systems with prescribed performance and MT-filters. Neurocomputing, 207, 717-725.
  59. Y. Yi, Liao, Y., Wang, B., Fu, X., Shen, F., Hou, H., & Liu, L. (2016). FPGA based spike-time dependent encoder and reservoir design in neuromorphic computing processors. Microprocessors and Microsystems, 46, 175-183.
  60. Y. Li,* L. Liu, H. Li*, J. Zhang and Y. Yi, "Resource Allocation for Delay-Sensitive Traffic Over LTE-Advanced Relay Networks," in IEEE Transactions on Wireless Communications, vol. 14, no. 8, pp. 4291-4303, Aug. 2015.
  61. Ehsan, Md Amimul*, Zhen 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 C 56 (2015): 1-13.
  62. M. A. 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," in IEEE Transactions on Electromagnetic Compatibility, vol. 57, no. 4, pp. 815-826, Aug. 2015.
  63. Ehsan, Md Amimul*, Zhen Zhou, and Y. Yi. "Analytical modeling and analysis of through silicon vias (TSVs) in high speed three-dimensional system integration." Progress in Electromagnetics Research M 42 (2015): 49-59.
  64. Zhao, C.*, Wysocki, B. T., Liu, Y., Thiem, C. D., McDonald, N. R., & Y. Yi (2015). Spike-time-dependent encoding for neuromorphic processors. ACM Journal on Emerging Technologies in Computing Systems (JETC), 12(3), 1-21.
  65. L. Liu, Y. Yi, J. -F. Chamberland and J. Zhang, "Energy-Efficient Power Allocation for Delay-Sensitive Multimedia Traffic Over Wireless Systems," in IEEE Transactions on Vehicular Technology, vol. 63, no. 5, pp. 2038-2047, Jun 2014.
  66. Tan, J., Y. Yi, Shen, F., & Fu, X. "Modeling and characterizing GPGPU reliability in the presence of soft errors." Parallel Computing 39.9 (2013): 520-532.
  67. Y. Yi., Zhou, Y., Fu, X., & Shen, F. (2013). Modeling differential through-silicon-vias (TSVs) with voltage dependent and nonlinear capacitance. Cyber Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Microelectronics (JSAM), 3(6), 234-241.
  68. Wang, X., Y. Yi, Chang, H., & Lin, Y.. "Using particle swarm optimization to evolve cooperation in multiple choices iterated prisoner's dilemma game." International Journal of Computational Intelligence and Applications 12.03 (2013): 1350013.
  69. Liu, L., Jianzhong (Charlie) Zhang, Y. Yi, Li, H., & Zhang, J. (2012). Combating interference: MU-MIMO, CoMP, and HetNet. J. Commun., 7(9), 646-655.
  70. Y. Yi, R. Wenzel, V. Sarin and W. Shi, "Inductance Extraction for Interconnects in the Presence of Nonlinear Magnetic Materials," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 28, no. 7, pp. 1106-1110, July 2009.
  71. Y. Yi, P. Li, V. Sarin and W. Shi, "A Preconditioned Hierarchical Algorithm for Impedance Extraction of Three-Dimensional Structures with Multiple Dielectrics," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 27, no. 11, pp. 1918-1927, Nov. 2008.
  72. Y. Yi, X. He, and H. Luo, “Design and Performance Evaluation of List Sphere Detector,” Journal of Shanghai Jiao Tong University (Science), pp. 26-28, 2005.

Selected Conference Papers

Supervised students are delineated with an asterisk

  1. S. Liu* and Y. Yi, "Knowledge Distillation between DNN and SNN for Intelligent Sensing Systems on Loihi Chip," 2023 24th International Symposium on Quality Electronic Design (ISQED), San Francisco, CA, USA, 2023, pp. 1-8. 
  2. Zheng, Honghao*, and Y. Yi. "Spiking Domain Feature Extraction with Temporal Dynamic Learning." 2023 24th International Symposium on Quality Electronic Design (ISQED). IEEE, 2023.
  3. Liang, Yibin*, Lianjun Li*, Y. Yi, and L. Liu. "Real-time machine learning for symbol detection in MIMO-OFDM systems." In IEEE INFOCOM 2022-IEEE Conference on Computer Communications, pp. 2068-2077. IEEE, 2022.
  4. Wang, Zheng, L. Liu, Y. Yi, Robert Calderbank, and Jianzhong Zhang. "Low-Complexity Channel Matrix Calculation for OTFS Systems with Fractional Delay and Doppler." In MILCOM 2022-2022 IEEE Military Communications Conference (MILCOM), pp. 787-792. IEEE, 2022. (Best Paper Award Nomination)
  5. Lin, Chunxiao*, Yibin Liang*, and Y. Yi. "FPGA-based Reservoir Computing with Optimized Reservoir Node Architecture." 2022 23rd International Symposium on Quality Electronic Design (ISQED). IEEE, 2022.
  6. Nowshin, Fabiha*, and Y. Yi. "Memristor-based deep spiking neural network with a computing-in-memory architecture." In 2022 23rd International Symposium on Quality Electronic Design (ISQED), pp. 1-6. IEEE, 2022.
  7. Mohammadi, Nima*, L. Liu, and Y. Yi. "Policy-based fully spiking reservoir computing for Multi-Agent distributed dynamic spectrum access." ICC 2022-IEEE International Conference on Communications. IEEE, 2022.
  8. Gaurav, Ramashish*, Terrence C. Stewart, and Y Yi. "Spiking reservoir computing for temporal edge intelligence on Loihi." 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC). IEEE, 2022.
  9. Bai, Kang Jun*, and Y. Yi. "Diagnosing clinical diseases using an edge-enabled deep learning technology." 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC). IEEE, 2022.
  10. Bai, Kangjun*, Clare Thiem, Nathan McDonald, Lisa Loomis, and Y. Yi. "Toward intelligence in communication networks: A deep learning identification strategy for radio frequency fingerprints." In 2021 22nd International Symposium on Quality Electronic Design (ISQED), pp. 204-209. IEEE, 2021.
  11. Zheng, Honghao*, Nima Mohammadi*, Kangjun Bai*, and Y. Yi. "Low-power analog and mixed-signal IC design of multiplexing neural encoder in neuromorphic computing." In 2021 22nd International Symposium on Quality Electronic Design (ISQED), pp. 154-159. IEEE, 2021.
  12. An, Hongyu*, Kangjun Bai*, and Y. Yi. "Three-dimensional Memristive Deep Neural Network with Programmable Attention Mechanism." In 2021 22nd International Symposium on Quality Electronic Design (ISQED), pp. 210-215. IEEE, 2021.
  13. An, Hongyu*, Mohammad Shah Al-Mamun, Marius K. Orlowski, and Y. Yi. "A three-dimensional (3D) memristive spiking neural network (M-SNN) system." In 2021 22nd International Symposium on Quality Electronic Design (ISQED), pp. 337-342. IEEE, 2021.
  14. Hamedani, Kian*, L. Liu, Jithin Jagannath, and Y. Yi. "Adversarial classification of the attacks on smart grids using game theory and deep learning." In Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning, pp. 13-18. 2021.
  15. Zheng, Honghao*, Juliet Anderson*, and Y. Yi. "Approaching the Area of Neuromorphic Computing Circuit and System Design." In 2021 12th International Green and Sustainable Computing Conference (IGSC), pp. 1-8. IEEE, 2021.
  16. Shears, Osaze*, Kangjun Bai*, L. Liu, and Y. Yi. "A hybrid FPGA-ASIC delayed feedback reservoir system to enable spectrum sensing/sharing for low power IoT devices ICCAD special session paper." In 2021 IEEE/ACM International Conference on Computer Aided Design (ICCAD), pp. 1-9. IEEE, 2021.
  17. Jere, Shashank*, and Y. Yi. "Edge Intelligence for Beyond-5G through Federated Learning." In 2021 IEEE/ACM Symposium on Edge Computing (SEC), pp. 345-349. IEEE, 2021.
  18. B. Shang*, S. Liu*, S. Lu, Y. Yi, W. Shi and L. Liu, "A Cross-Layer Optimization Framework for Distributed Computing in IoT Networks," 2020 IEEE/ACM Symposium on Edge Computing (SEC), San Jose, CA, USA, 2020, pp. 440-444.
  19. Shen, F., Roccosalvo, J., Zhang, J., Tian, Y., Y. Yi, Ji, Y., ... & Teo, H. J. (2021). E-NEST Remote Learning Transition in STEM Education. In: Latifi, S. (eds) ITNG 2021 18th International Conference on Information Technology-New Generations. Advances in Intelligent Systems and Computing, vol 1346. Springer, Cham. 
  20. Wu, Xiaolong, Y. Yi, Tian, Dave, and Li, Jiajia. Generic, Sparse Tensor Core for Neural Networks. United States: N. p., 2020. Web.
  21. Shen, F., Roccosalvo, J., Zhang, J., Tian, Y., Y. Yi, Ji, Y., ... & Kok, A. M. (2020) (2020). Creating Culturally Responsive Noyce Explorers, Scholars and Teachers. In: Latifi, S. (eds) 17th International Conference on Information Technology–New Generations (ITNG 2020). Advances in Intelligent Systems and Computing, vol 1134. Springer, Cham. 
  22. Hamedani, K.*, Liu, L., Liu, S.*, He, H., & Y. Yi (2020). Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing. Proceedings of the AAAI Conference on Artificial Intelligence, 34(02), 1292-1299. 
  23. Bai, Kangjun*, L. Liu, Zhou Zhou*, and Y. Yi. "Detection through deep neural networks: a reservoir computing approach for mimo-ofdm symbol detection." In Proceedings of the 39th International Conference on Computer-Aided Design (ICCAD), pp. 1-7. 2020.
  24. Q. An*, K. Bai*, M. Zhang, Y. Liu, and Y. Yi, "Deep Neural Network Based Speech Recognition Systems Under Noise Perturbations," 2020 21st International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, USA, 2020, pp. 377-382.
  25. Zhou, Zhou*, L. Liu, Vikram Chandrasekhar, Jianzhong Zhang, and Y. Yi. "Deep reservoir computing meets 5G MIMO-OFDM systems in symbol detection." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, no. 01, pp. 1266-1273. 2020.
  26. S. Liu*, Y. Liang*, V. Gan*, L. Liu and Y. Yi, "Accurate and Efficient Quantized Reservoir Computing System," 2020 21st International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, USA, 2020, pp. 364-369. (Best Paper Award Nomination)
  27. Wu, Xiaolong, Y. Yi, Tian, Dave, and Li, Jiajia. "Generic, Sparse Tensor Core for Neural Networks", United States: N. p., Workshops. Machine Learning for Software Hardware Co-Design (MLSH'20).
  28. F. Nowshin*, Y. Zhang*, L. Liu and Y. Yi, "Recent Advances in Reservoir Computing with A Focus on Electronic Reservoirs," 2020 11th International Green and Sustainable Computing Workshops (IGSC), Pullman, WA, USA, 2020, pp. 1-8.
  29. B. Shang*, V. Marojevic, Y. Yi, A. S. Abdalla and L. Liu, "Spectrum Sharing for UAV Communications: Spatial Spectrum Sensing and Open Issues," in IEEE Vehicular Technology Magazine, vol. 15, no. 2, pp. 104-112, June 2020.
  30. H. An*, Dong Sam Ha, Y. Yi, "Powering next-generation industry 4.0 by a self-learning and low-power neuromorphic system", NanoCom '20: Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication, September 2020Article No.: 6, Pages 1–6.
  31. F. Nowshin*, L. Liu and Y. Yi, "Energy Efficient and Adaptive Analog IC Design for Delay-Based Reservoir Computing," 2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS), Springfield, MA, USA, 2020, pp. 592-595.
  32. L. Li*, L. Liu, J. Zhang, J. D. Ashdown and Y. Yi, "Reservoir Computing Meets Wi-Fi in Software Radios: Neural Network-based Symbol Detection using Training Sequences and Pilots," 2020 29th Wireless and Optical Communications Conference (WOCC), Newark, NJ, USA, 2020, pp. 1-6. (WOCC 2020 Charles K. Gao Best Paper Award)
  33. Hamedani, Kian* and Liu, L. and Liu, Shiya* and He, Haibo and Y. Yi, "Deep spiking delayed feedback reservoirs and its application in spectrum sensing of MIMO-OFDM dynamic spectrum sharing", Proceedings of the AAAI Conference on Artificial Intelligence, 2020.
  34. Zhou, Z.*, Liu, L., Chandrasekhar, V., Zhang, J., & Y. Yi (2020). Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection. Proceedings of the AAAI Conference on Artificial Intelligence, 34(01), 1266-1273.
  35. Shen, Fangyang, Janine Roccosalvo, Jun Zhang, Y. Yi, Yanqing Ji, Kendra Guo, Ahmet Mete Kok, and Yi Han. "STEM education enrichment in NYC." In 16th International Conference on Information Technology-New Generations (ITNG 2019), pp. 277-282. Springer International Publishing, 2019.
  36. Chang, Hao-Hsuan*, L. Liu, Hao Song*, Alex Pidwerbetsky, Allan Berlinsky, Jonathan Ashdown, Kurt Turck, and Y. Yi. "Maximizing system throughput in d2d networks using alternative dc programming." In 2019 IEEE Global Communications Conference (GLOBECOM), pp. 1-6. IEEE, 2019.
  37. Bai, Kangjun*, Qiyuan An*, and Y. Yi. "Deep-DFR: A memristive deep delayed feedback reservoir computing system with hybrid neural network topology." In Proceedings of the 56th Annual Design Automation Conference 2019, pp. 1-6. 2019.
  38. H. Song*, L. Liu, H. -H. Chang*, J. Ashdown and Y. Yi, "Deep Q-Network Based Power Allocation Meets Reservoir Computing in Distributed Dynamic Spectrum Access Networks," IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Paris, France, 2019, pp. 774-779.
  39. Zhao, Chenyuan*, L. Liu, and Y. Yi. "Design and analysis of real time spiking neural network decoder for neuromorphic chips." In Proceedings of the International Conference on Neuromorphic Systems, pp. 1-4. 2019.
  40. Kangjun Ba*i, Shiya Liu*, Y. Yi, "High speed and energy efficient deep neural network for edge computing", SEC '19: Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, November 2019, Pagess 347–349.
  41. Shen, Fangyang, Janine Roccosalvo, Jun Zhang, Y. Yi, and Yanqing Ji. "A new approach for STEM teacher scholarship implementation." In Information Technology-New Generations: 14th International Conference on Information Technology, pp. 659-666. Springer International Publishing, 2018.
  42. Shafin, R.*, L. Liu, J. Ashdown, J. Matyjas, M.Medley, B. Wysocki, and Y. Yi. "Realizing green symbol detection via reservoir computing: An energy-efficiency perspective." In 2018 IEEE International Conference on Communications (ICC), pp. 1-6. IEEE, 2018. (IEEE Transmission, Access, and Optical Systems Technical Committee (TAOS) Best Paper Award and IEEE Technical Committee on Green Communications & Computing Committee (TCGCC) Best Paper Award)  
  43. Shen, Fangyang, Janine Roccosalvo, Jun Zhang, Yanqing Ji, Y. Yi, and Lieselle Trinidad. "NSF Noyce recruitment and mentorship." In Information Technology-New Generations: 15th International Conference on Information Technology, pp. 539-544. Springer International Publishing, 2018.
  44. Li, Jialing*, Kangjun Bai*, L. Liu, and Y. Yi. "A deep learning based approach for analog hardware implementation of delayed feedback reservoir computing system." In 2018 19th International Symposium on Quality Electronic Design (ISQED), pp. 308-313. IEEE, 2018. (Best Paper Award)
  45. Bai, Kangjun*, and Y. Yi, "A path to energy-efficient spiking delayed feedback reservoir computing system for brain-inspired neuromorphic processors." In 2018 19th International Symposium on Quality Electronic Design (ISQED), pp. 322-328. IEEE, 2018.
  46. Bai, Kangjun*, Jialing Li*, Kian Hamedani*, and Y. Yi. "Enabling a new era of brain-inspired computing: energy-efficient spiking neural network with ring topology." In Proceedings of the 55th Annual Design Automation Conference (DAC), pp. 1-6. 2018.
  47. An, Hongyu*, Mohammad Shah Al-Mamun, Marius K. Orlowski, and Y. Yi. "Learning accuracy analysis of memristor-based nonlinear computing module on long short-term memory." In Proceedings of the International Conference on Neuromorphic Systems, pp. 1-7. 2018.
  48. Jiang, He, Haibo He, L. Liu, and Y. Yi. "Q-learning for non-cooperative channel access game of cognitive radio networks." In 2018 International Joint Conference on Neural Networks (IJCNN), pp. 1-7. IEEE, 2018.
  49. H. An*, M. A. Ehsan*, Z. Zhou and Y. Yi, "Electrical modeling and analysis of 3D synaptic array using vertical RRAM structure," 2017 18th International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, USA, 2017. (Best Paper Award Nomination)
  50. M. A. Ehsan*, Z. Zhou and Y. Yi, "Hybrid three-dimensional integrated circuits: A viable solution for high efficiency Neuromorphic Computing," 2017 International Symposium on VLSI Design, Automation and Test (VLSI-DAT), Hsinchu, Taiwan, 2017, pp. 1-2. (Best Paper Award Nomination)
  51. Ehsan, Md Amimul*, Zhen Zhou, and Y. Yi. "Neuromorphic 3D integrated circuit: A hybrid, reliable and energy efficient approach for next generation computing." In Proceedings of the on Great Lakes Symposium on VLSI 2017, pp. 221-226. 2017. (Best Paper Award Nomination)
  52. J. Li*, C. Zhao*, K. Hamedani*, and Y. Yi, "Analog hardware implementation of spike-based delayed feedback reservoir computing system," 2017 International Joint Conference on Neural Networks (IJCNN), Anchorage, AK, USA, 2017, pp. 3439-3446.
  53. C. Zhao*, Jialing Li*, Hongyu An* and Y. Yi, "Energy efficient analog spiking temporal encoder with verification and recovery scheme for neuromorphic computing systems," 2017 18th International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, 2017, pp. 138-143.
  54. M. A. Ehsan*, Hongyu An*, Zhen Zhou* and Y. Yi, "Adaptation of enhanced TSV capacitance as membrane property in 3D brain-inspired computing system," 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC), Austin, TX, USA, 2017, pp. 1-6.
  55. H. An*, Z. Zhou and Y. Yi, "Memristor-based 3D neuromorphic computing system and its application to associative memory learning," 2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO), Pittsburgh, PA, USA, 2017, pp. 555-560.
  56. H. An*, Z. Zhou and Y. Yi, "Opportunities and challenges on nanoscale 3D neuromorphic computing system," 2017 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI), Washington, DC, USA, 2017, pp. 416-421.
  57. M. A. Ehsan*, Z. Zhou and Y. Yi, "Modeling and analysis of neuronal membrane electrical activities in 3d neuromorphic computing system," 2017 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI), Washington, DC, USA, 2017, pp. 745-750.
  58. Zhang, An-Qi, Wei-Bing Lu, Zhen-Guo Liu, Y. Yi, Hao Chen, and Bao-Hu Huang. "A tunable attenuator on graphene-based substrate integrated waveguide." In 2017 Sixth Asia-Pacific Conference on Antennas and Propagation (APCAP), pp. 1-3. IEEE, 2017.
  59. Hongyu An, Zhen Zhou, and Y. Yi. 2017. 3D memristor-based adjustable deep recurrent neural network with programmable attention mechanism. In Proceedings of the Neuromorphic Computing Symposium (NCS '17). Association for Computing Machinery, New York, NY, USA, Article 11, 1–6. 
  60. S. Mosleh*, C. Sahin, L. Liu, R. Y. Zheng and Y. Yi, "An energy efficient decoding scheme for nonlinear MIMO-OFDM network using reservoir computing," 2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, Canada, 2016, pp. 1166-1173.
  61. Chen, H.*, Shafin, R.*, Atat, R.*, Y. Yi, & Liu, L. (2016, September). Performance analysis on nano-networks: A stochastic geometry approach. In Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication (pp. 1-2).
  62. M. A. Ehsan*, Hongyu An*, Z. Zhou and Y. Yi, "Design challenges and methodologies in 3D integration for neuromorphic computing systems," 2016 17th International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, USA, 2016, pp. 24-28.
  63. M. A. Ehsan*, Z. Zhou and Y. Yi, "Modeling and optimization of TSV for crosstalk mitigation in 3D neuromorphic system," 2016 IEEE International Symposium on Electromagnetic Compatibility (EMC), Ottawa, ON, Canada, 2016, pp. 621-626.
  64. Zhao, C.*, Li, J.*, Liu, L., Koutha, L. S.*, Liu, J., & Y. Yi (2016, September). 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 (pp. 1-5).
  65. R. Atat*, L. Liu, J. Ashdown, M. Medley, J. Matyjas and Y. Yi, "Improving Spectral Efficiency of D2D Cellular Networks through RF Energy Harvesting," 2016 IEEE Global Communications Conference (GLOBECOM), Washington, DC, USA, 2016, pp. 1-6. (Best Paper Award)
  66. S. Mosleh*, L. Liu, H. Hou* and Y. Yi, "Coordinated Data Assignment: A Novel Scheme for Big Data over Cached Cloud-RAN," 2016 IEEE Global Communications Conference (GLOBECOM), Washington, DC, USA, 2016, pp. 1-6.
  67. H. Chen*, L. Liu, N. Mastronarde*, L. Ma and Y. Yi, "Cooperative Retransmission for Massive MTC under Spatiotemporally Correlated Interference," 2016 IEEE Global Communications Conference (GLOBECOM), Washington, DC, USA, 2016, pp. 1-6.
  68. R. Atat*, L. Liu and Y. Yi, "Privacy Protection Scheme for eHealth Systems: A Stochastic Geometry Approach," 2016 IEEE Global Communications Conference (GLOBECOM), Washington, DC, USA, 2016, pp. 1-6.
  69. H. An*, M. A. Ehsan*, Z. Zhou and Y. Yi, "Electrical modeling and analysis of 3D Neuromorphic IC with Monolithic Inter-tier Vias," 2016 IEEE 25th Conference on Electrical Performance Of Electronic Packaging And Systems (EPEPS), San Diego, CA, USA, 2016, pp. 87-90.
  70. C. Zhao*, Jialing Li* and Y. Yi, "Making neural encoding robust and energy efficient: An advanced analog temporal encoder for brain-inspired computing systems," 2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Austin, TX, 2016, pp. 1-6, doi: 10.1145/2966986.2967052.
  71. W. Danesh*, C. Zhao*, B. T. Wysocki, M. J. Medley, N. N. Thawdar and Y. Yi, "Channel estimation in wireless OFDM systems using reservoir computing," 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA), Verona, NY, USA, 2015, pp. 1-5.
  72. M. A. Ehsan*, Z. Zhou and Y. Yi, "Three Dimensional Integration Technology Applied to Neuromorphic Hardware Implementation," 2015 IEEE International Symposium on Nanoelectronic and Information Systems, Indore, India, 2015, pp. 203-206.
  73. C. Zhao*, W. Danesh*, B. T. Wysocki and Y. Yi, "Neuromorphic encoding system design with chaos based CMOS analog neuron," 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA), Verona, NY, USA, 2015, pp. 1-6.
  74. M. A. Ehsan*, Z. Zhou and Y. Yi, "Electrical modeling and analysis of sidewall roughness of through silicon vias in 3D integration," 2014 IEEE International Symposium on Electromagnetic Compatibility (EMC), Raleigh, NC, USA, 2014, pp. 52-56.
  75. M. A. Ehsan*, M. K. Siddiki and Y. Yi, "Numerical analysis and optimum design of efficient μc-Si/μc-Si1−xGex thin-film solar cells," 2014 IEEE 40th Photovoltaic Specialist Conference (PVSC), Denver, CO, USA, 2014, pp. 1321-1325.
  76. Y. Yi and H. Xu, "Hierarchical Data Association Framework with Occlusion Handling for Multiple Targets Tracking," in IEEE Signal Processing Letters, vol. 21, no. 3, pp. 288-291, March 2014.
  77. Y. Li, L. Liu, H. Li, Y. Li and Y. Yi, "Adaptive resource allocation for heterogeneous traffic over heterogeneous relay networks," 2013 IEEE International Conference on Communications (ICC), Budapest, Hungary, 2013, pp. 5431-5436.
  78. Y. Yi and Y. Zhou, "A novel circuit model for multiple Through Silicon Vias (TSVs) in 3D IC," 2013 IEEE International 3D Systems Integration Conference (3DIC), San Francisco, CA, USA, 2013, pp. 1-4.
  79. Y. Yi and Y. Zhou, "Differential Through-Silicon-Vias modeling and design optimization to benefit 3D IC performance," 2013 IEEE 22nd Conference on Electrical Performance of Electronic Packaging and Systems, San Jose, CA, USA, 2013, pp. 195-198.
  80. X. Wang, H. Chang, Y. Yi and Y. Lin, "Co-evolutionary learning in the N-choice IPD game with PSO algorithm," 2012 Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC), Mexico City, Mexico, 2012, pp. 92-97.
  81. Yao An, Y. Yi, Tian-Ping Zhang and Qian-Shuang Sun, "PDF shaping control for non-Gaussian stochastic distribution systems with time-delay," 2012 International Conference on Machine Learning and Cybernetics, Xi'an, China, 2012, pp. 857-863.
  82. 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," 2011 IEEE Vehicular Technology Conference (VTC Fall), San Francisco, CA, USA, 2011, pp. 1-3.
  83. Y. Yi, C. Sun and L. Guo, "Iterative learning control algorithms based on complex stochastic distribution systems," Proceedings of the 30th Chinese Control Conference, Yantai, China, 2011, pp. 1367-1371.
  84. S. Cao, L. Guo and Y. Yi, "Robust adaptive fault diagnosis approach based on disturbance observer," Proceedings of the 30th Chinese Control Conference, Yantai, China, 2011, pp. 4340-4345.
  85. M. Chen, Y. Yi, W. Zhao and D. Ma, "Variation-aware deep nanometer gate performance modeling: An analytical approach," Proceedings of 2011 International Symposium on VLSI Design, Automation and Test, Hsinchu, Taiwan, 2011, pp. 1-4.
  86. Y. Yi, M. Chen, G. Yu, Y. Zhou and D. Ma, "Modeling and optimizing differential signaling for reducing crosstalk noise," Proceedings of 2011 International Symposium on VLSI Design, Automation and Test, Hsinchu, Taiwan, 2011, pp. 1-4
  87. Tao, Q., Chang, H. Y., Y. Yi, Gu, C. Q., & Li, W. J. (2010). A novel cyclic discrete optimization framework for particle swarm optimization. In Advanced Intelligent Computing Theories and Applications: 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings 6 (pp. 166-174). Springer Berlin Heidelberg.
  88. Fang Yi, Y. Yi and L. Liu, "Optimal fusion scheme in wireless sensor networks under sum-rate capacity constraint," 2010 44th Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, 2010, pp. 1-4.
  89. Y. Yi, Y. Liu, Y. Zhou and W. D. Becker, "Minimizing crosstalk in high-speed differential buses by optimizing power/ground and signal assignment," 2009 IEEE 18th Conference on Electrical Performance of Electronic Packaging and Systems, Portland, OR, USA, 2009, pp. 255-258.
  90. Y. Yi, V. Sarin and W. Shi, "An efficient inductance extraction algorithm for 3-D interconnects with frequency dependent nonlinear magnetic materials," 2008 IEEE-EPEP Electrical Performance of Electronic Packaging, San Jose, CA, USA, 2008, pp. 217-220.
  91. Y. Yi, Shu Yan, Vivek Sarin and Weiping Shi, "Development of fast 3d parasitic extraction using hierarchical method for integrated circuits and packages," 2008 IEEE Antennas and Propagation Society International Symposium, San Diego, CA, 2008, pp. 1-4.
  92. Y. Yi, Peng Li, Vivek Sarin and Weiping Shi, "Impedance extraction for 3-D structures with multiple dielectrics using preconditioned boundary element method," 2007 IEEE/ACM International Conference on Computer-Aided Design, San Jose, CA, 2007, pp. 7-10.
  93. Y. Yi, Li, T., Guo, L., & Wang, H. (2007). Adaptive tracking control for the output PDFs based on dynamic neural networks. In Advances in Neural Networks–ISNN 2007: 4th International Symposium on Neural Networks, ISNN 2007, Nanjing, China, June 3-7, 2007, Proceedings, Part I 4 (pp. 93-101). Springer Berlin Heidelberg.
  94. Y. Yi, P. Li, V. Sarin and W. Shi, "A Preconditioned Hierarchical Algorithm for Impedance Extraction of Interconnects in Packages," 2006 IEEE Electrical Performance of Electronic Packaging, Scottsdale, AZ, USA, 2006.
  95. Y. Yi, V. Sarin, and W. Shi, “A Preconditioned Hierarchical Algorithm for Impedance Extraction of Interconnects,” in Proceedings of IEEE Electrical Performance of Electronic Packaging (EPEP), pp. 99-102, 2006. (Best Student Paper Award)
  96. Y. Yi, H. Zhang, and C. Xu, “Design of LDPC Codes for MIMO Channel to Achieve Ergodic Capacity using Linear Programming,” in Proceedings of IEEE Vehicular Technology Conference (VTC), pp. 532-535, 2005.

Table of Contents

© Copyright by Yang (Cindy) Yi.