Conference Papers

  1. Jungwoo Kim, Seonggyun Oh, Jaeha Kung, Yeseong Kim, Sungjin Lee, “NDPipe: Exploiting Near-data Processing for Scalable Inference and Continuous Training in Photo Storage”, in 2024 International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), ACM, 2024
  2. Hyukjun Kwon, Kangwon kim, Junyoung Lee, Hyunsei Lee, Jiseung Kim, JINHYUNG KIM, Taehyeong Kim, Yong Nyeon Kim, Yang Ni, Mohsen Imani, Il Hong Suh, Yeseong Kim, “Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots”, in 2024 IEEE International Conference on Robotics and Automation(ICRA), ICRA/IEEE, 2024
  3. Hyunsei Lee, Hyukjun Kwon, Jiseung Kim, Seohyun Kim, Mohsen Imani, Yeseong Kim, “Towards Forward-Only Learning for Hyperdimensional Computing”, in 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, 2024
  4. Hanning Chen, Yeseong Kim, Elaheh Sadredini, Saransh Gupta, Hugo Latapie, Mohsen Imani, “Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration, in 2023 IFIP/IEEE 31st International Conference on Very Large Scale Integration (VLSI-SoC)”, IFIP/IEEE, 2023
  5. Mohsen Imani*, Yeseong Kim*, Behnam Khaleghi, Justin Morris, Haleh Alimohamadi, Farhad Imani, Hugo Latapie, “Hierarchical, distributed and brain-inspired learning for internet of things systems”, in 2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS), IEEE, 2023 (* Co-corresponding authors)
  6. Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani, “Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge”, in 32nd International Joint Conference on Artificial Intelligence (IJCAI), (Invited for Sister Conferences Best Papers) 2023
  7. Y. Ni, D. Abraham, M. Issa, Y. Kim, P. Mercati, and M. Imani, “Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing”, in 2023 33rd ACM SIGDA Great Lakes Symposium on VLSI (GLSVLSI), ACM, 2023
  8. S. Lee, J. Park, H. Minho, K. Byungil, P. Kyoung, and Y. Kim, “Sidekick: Near Data Processing for Clustering Enhanced by Automatic Memory Disaggregation“, in 2023 60th ACM/IEEE Design Automation Conference (DAC), IEEE, 2023
  9. H. Lee, K. Jiseung, H. Chen, A. Zeria, N. Srinivasa, M. Imani, and Y. Kim, “Comprehensive integration of hyperdimensional computing with deep learning towards neuro-symbolic AI,” in 2023 60th ACM/IEEE Design Automation Conference (DAC), IEEE, 2023
  10. J. Kim, H. Lee, M. Imani and Y. Kim, “Efficient hyperdimensional learning with trainable, quantizable, and holistic data presentation,” in 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, 2023
  11. Y. Ni, D. Abraham, M. Issa, Y. Kim, P. Mercati and M. Imani, “Value-based reinforcement learning using efficient hyperdimensional computing,” in 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, 2023
  12. J. Park, H. Kwon, S. Kim, J. Lee, H. Minho, L. Euicheol, I. Mohsen, and Y. Kim, “Quiltnet: Efficient deep learning inference on multi-chip accelerators using model partitioning,” in 2022 59th ACM/IEEE Design Automation Conference (DAC), IEEE, 2022.
  13. I. Mohsen, Z. Ali, C. Hanning, K. TaeHyun, P. Prathyush, H. Lee, Y. Kim, S. Elaheh, and I. Farhad, “Neural computation for robust and holographic face detection,” in 2022 59th ACM/IEEE Design Automation Conference (DAC), IEEE, 2022.
  14. P. Poduval, N. Yang, K. Yeseong, N. Kai, K. Raghavan, C. Rossario, and I. Mohsen, “Adaptive neural recovery for highly robust brain-like representation,” in 2022 59th ACM/IEEE Design Automation Conference (DAC), IEEE, 2022.
  15. Y. Ni, Y. Kim*, T. Rosing, and M. Imani*, “Algorithm-hardware co-design for efficient brain-inspired hyperdimensional learning on edge,” in 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, 2022 (*Co-corresponding authors), Best Paper Award
  16. Y. Ni, Y. Kim*, T. Rosing, and M. Imani*, “Online performance and power prediction for edge TPU via comprehensive characterization,” in 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, 2022 (*Co-corresponding authors)
  17. J. S. Shim, B. Han, Y. Kim*, and J. Kim*, “DeepPM: Transformer-based power and performance prediction for energy-aware software,” in 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, 2022 (*Co-corresponding authors)
  18. J. Kang, B. Khaleghi, Y. Kim, and T. Rosing, “XcelHD: An efficient GPU-powered hyperdimensional computing with parallelized training,” in 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), IEEE, 2022
  19. J. Park, J. Kim, Y. Kim, S. Lee, and O. Mutlu, “Deepsketch: A new machine learning-based reference search technique for post-deduplication delta compression,” in 20th USENIX Conference on File and Storage Technologies (FAST 22), 2022
  20. Z. Zou, H. Chen, P. Poduval, Y. Kim, M. Imani, E. Sadredini, R. Cammarota, and M. Imani, “BioHD: An efficient genome sequence search platform using hyperdimensional memorization,” in Proceedings of the 49th Annual International Symposium on Computer Architecture (ISCA), 2022
  21. Y. Kim, M. Imani, S. Gupta, M. Zhou, and T. S. Rosing, “Massively parallel big data classification on a programmable processing in-memory architecture,” in 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), IEEE, 2021
  22. Yeseong Kim, Jiseung Kim, and Mohsen Imani, “CascadeHD: Efficient Many-Class Learning Framework Using Hyperdimensional Computing,” IEEE/ACM Design Automation Conference (DAC), Dec 2021
  23. Jiseung Kim, Hyunsei Lee, Mohsen Imani, and Yeseong Kim, “Efficient Brain-Inspired Hyperdimensional Learning with Spatiotemporal Structured Data,” IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), Nov 2021
  24. Z. Zou, Y. Kim, F. Imani, H. Alimohamadi, R. Cammarota, and M. Imani, “Scalable edge-based hyperdimensional learning system with brain-like neural adaptation,” in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2021
  25. Mohsen Imani*, Zhuowen Zou, Samuel Bosch, Sanjay Anantha Rao, Sahand Salamat, Venkatesh Kumar, Yeseong Kim*, and Tajana Rosing, “Revisiting HyperDimensional Learning for FPGA and Low-Power Architectures,” IEEE International Symposium on High-Performance Computer Architecture (HPCA), Feb 2021 (*Co-corresponding authors)
  26. Zhuowen Zou, Yeseong Kim*, M. Hassan Najafi, and Mohsen Imani*, “ManiHD: Efficient Hyper-Dimensional Learning Using Manifold Trainable Encoder,” IEEE/ACM Design Automation and Test in Europe Conference (DATE), Feb 2021 (*Co-corresponding authors)
  27. Alejandro Hernandez-Cano, Yeseong Kim*, and Mohsen Imani*, “A Framework for Efficient and Binary Clustering in High-Dimensional Space,” IEEE/ACM Design Automation and Test in Europe Conference (DATE), Feb 2021 (*Co-corresponding authors)
  28. Sahand Salamat, Jaeyoung Kang, Yeseong Kim, Mohsen Imani, Niema Moshiri and Tajana Rosing, “FPGA Acceleration of Protein Back-translation and Alignment,” IEEE/ACM Design Automation and Test in Europe Conference (DATE), Feb 2021
  29. Yunhui Guo, Mohsen Imani, Jaeyoung Kang, Sahand Salamat, Justin Morris, Baris Aksanli, Yeseong Kim, and Tajana Rosing, “HyperRec: Efficient Recommender Systems with Hyperdimensional Computing,” IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), Jan 2021
  30. Minxuan Zhou, Mohsen Imani, Yeseong Kim, Saransh Gupta, and Tajana Rosing, “DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures,” IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), Jan 2021
  31. M. Imani, S. Gupta, Y. Kim, and T. Rosing, “Deep learning acceleration using digital-based processing in-memory,” in 2020 IEEE 33rd International System-on-Chip Conference (SOCC), IEEE, 2020
  32. Mohsen Imani*, Saikishan Pampana, Saransh Gupta, Minxuan Zhou, Yeseong Kim*, and Tajana Rosing, “DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory,” IEEE/ACM International Symposium on Microarchitecture (MICRO), Oct 2020 (*Co-corresponding authors)
  33. Behnam Khaleghi, Sahand Salamat, Anthony Thomas, Fatemeh Asgarinejad, Yeseong Kim, and Tajana Rosing, “SHEARer: highly-efficient hyperdimensional computing by software-hardware enabled multifold approximation,” International Symposium on Low Power Electronics and Design (ISLPED), July 2020
  34. Yeseong Kim, Mohsen Imani, Niema Moshiri, and Tajana Rosing, “Geniehd: Efficient DNA pattern matching accelerator using hyperdimensional computing,” 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020, Best Paper Nomination
  35. Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing, “Deep Learning Acceleration with Neuron-to-Memory Transformation,” IEEE International Symposium on High-Performance Computer Architecture (HPCA), Feb 2020
  36. Mohsen Imani, Yeseong Kim, Sadegh Riazi, John Merssely, Patrick Liu, Farinaz Koushanfar and Tajana S. Rosing, “A Framework for Collaborative Learning in Secure High-Dimensional Space,” IEEE Cloud Computing (CLOUD), Jul 2019 (M. Imani and Y. Kim contributed equally, acceptance rate 14.3%)
  37. Mohsen Imani, Saransh Gupta, Yeseong Kim, and Tajana S. Rosing, “FloatPIM: In-Memory Acceleration of Deep Neural Network Training with High Precision,” International Symposium on Computer Architecture (ISCA), Jun 2019
  38. Joonseop Sim, Saransh Gupta, Mohsen Imani, Yeseong Kim, and Tajana S. Rosing, “UPIM : Unipolar Switching Logic for High Density Processing-in-Memory Applications,” ACM Great lakes symposium on VLSI (GLSVLSI), May 2019
  39. Anthony Thomas, Yunhui Guo, Yeseong Kim, Baris Aksanli, Arun Kumar, and Tajana S. Rosing, “Hierarchical and Distributed Machine Learning Inference Beyond the Edge,” IEEE International Conference on Networking, Sensing and Control (ICNSC), May 2019
  40. Dongwon Park, Ilgweon Kang, Yeseong Kim, Sicun Gao, Bill Lin, and Chung-Kuan Cheng, “ROAD : Routability Analysis and Diagnosis Framework Based on SAT Techniques,” International Symposium on Physical Design (ISPD), Apr 2019
  41. Joonseop Sim, Minsu Kim, Yeseong Kim, Saransh Gupta, Behnam Khaleghi, Tajana Rosing, “MAPIM: Mat Parallelism for High Performance Processing in Non-volatile Memory Architecture,” International Symposium on Quality Electronic Design (ISQED), Mar 2019
  42. Yeseong Kim, Ankit More, Emily Shriver, and Tajana S. Rosing, “Application Performance Prediction and Optimization Under Cache Allocation Technology,” IEEE/ACM Design Automation and Test in Europe Conference (DATE), Mar 2019
  43. Mohsen Imani, Yeseong Kim, Thomas Worley, Saransh Gupta, and Tajana S. Rosing, “HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing,” IEEE/ACM Design Automation and Test in Europe Conference (DATE), Mar 2019
  44. Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, and Tajana S. Rosing, “GRAM: Graph Processing in a ReRAM-based Computational Memory,” IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), Jan 2019
  45. Mohsen Imani, Yeseong Kim, and Tajana S. Rosing, “Hyperdimensional Computing: A Light-Weight Cognitive Machine,” NSF IoT Workshop, Nov 2018
  46. Yeseong Kim, Mohsen Imani, and Tajana S. Rosing, “Efficient Human Activity Recognition Using Hyperdimensional Computing,” IEEE Conference on Internet of Things (IoT 2018), Oct 2018
  47. Anthony Thomas, Yunhui Guo, Yeseong Kim, Baris Aksanli, Arun Kumar, Tajana S. Rosing, “Pushing Down Machine Learning Inference to the Edge in Heterogeneous Internet of Things Applications,” arXiv preprint, 2018
  48. Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana S. Rosing, “RAPIDNN: In-Memory Deep Neural Network Acceleration Framework,” arXiv preprint, 2018
  49. Joonseop Sim, Mohsen Imani, Woojin Choi, Yeseong Kim, and Tajana S. Rosing, “LUPIS: Latch-up Based Ultra Efficient Processing in-Memory System,” 2018 International Symposium on Quality Electronic Design (ISQED 2018), March 2018
  50. Yeseong Kim, Mohsen Imani, and Tajana S. Rosing, “Visual Object Recognition Accelerator Based on Approximate In-Memory Processing,” Non-Volatile Memory Workshop (NVMW 2018), March 2018
  51. Yeseong Kim, Pietro Mercati, Ankit More, Emily Shriver, and Tajana S. Rosing, “P4: Phase-Based Power/Performance Prediction of Heterogeneous Systems via Neural Networks,” 2017 International Conference on Computer-Aided Design (ICCAD 2017), November 2017
  52. Yeseong Kim, Mohsen Imani, and Tajana S. Rosing, “ORCHARD: Visual Object Recognition Accelerator Based on Approximate In-Memory Processing,” 2017 International Conference on Computer-Aided Design (ICCAD 2017), November 2017
  53. Mohsen Imani, Yeseong Kim, and Tajana S. Rosing, “Brain-Inspired Hyperdimensional Computing: An Efficient Classifier for Embedded Devices,” 2017 International Conference on Computer-Aided Design (ICCAD 2017), November 2017
  54. Mohsen Imani, Yeseong Kim, and Tajana S. Rosing, “NNgine: Ultra-Efficient Nearest Neighbor Accelerator Based on In-Memory Computing,” IEEE International Conference on Rebooting Computing (ICRC 2017), November 2017
  55. Joonseop Sim, Mohsen Imani, Yeseong Kim, and Tajana S. Rosing, “Enabling Efficient System Design Using Vertical Nanowire Transistor Current Mode Logic,” 25th IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2017), October 2017
  56. Yeseong Kim, Mohsen Imani, and Tajana S. Rosing, “CHOIR: General-Purpose Online Classification Accelerator via In-Memory Computing,” TECHCON SRC Conference (TECHCON 2017), September 2017
  57. Mohsen Imani, Yeseong Kim, and Tajana S. Rosing, “In-Memory Processing to Support Search-Based and Bitwise Computation,” Non-Volatile Memory Workshop (NVMW 2017), March 2017
  58. Mohsen Imani, Daniel Peroni, Yeseong Kim, Abbas Rahimi, and Tajana S. Rosing, “Efficient Neural Network Acceleration on GPGPU using Content Addressable Memory,” 20th Design Automation and Test in Europe (DATE 2017), March 2017
  59. Mohsen Imani, Yeseong Kim, and Tajana S. Rosing, “MPIM: Multi-Purpose In-Memory Processing Using Configurable Resistive Memory,” 22nd Asia and South Pacific Design Automation Conference (ASPDAC 2017), January 2017
  60. Wanlin Cui, Yeseong Kim, and Tajana S. Rosing, “Cross-Platform Machine Learning Characterization for Task Allocation in IoT Ecosystems,” 7th IEEE Annual Computing and Communication Workshop and Conference (CCWC 2017), January 2017 (Best Paper)
  61. Yeseong Kim, Pietro Mercati, and Tajana S. Rosing, “Power Efficient, Hierarchical, Introspection Framework for HPC Systems,” TECHCON SRC Conference (TECHCON 2016), September 2016
  62. Mohsen Imani, Yeseong Kim, Abbas Rahimi and Tajana S. Rosing, “Acam: Approximate computing based on adaptive associative memory with online learning,” 2016 International Symposium on Low Power Electronics and Design (ISLPED 2016), August 2016
  63. Mohsen Imani, Abbas Rahimi, Yeseong Kim and Tajana S. Rosing, “A Low-Power Hybrid Magnetic Cache Architecture Exploiting Narrow-Width Values,” 5th Non-Volatile Memory Systems and Applications Symposium (NVMSA 2016), August 2016
  64. Mohsen Imani, Yeseong Kim, Abbas Rahimi and Tajana S. Rosing, “Associative Memory with Online Learning for Approximate Computing,” IEEE/ACM Design Automation Conference (DAC 2016), June 2016
  65. Shruti Patil, Yeseong Kim, Kunal Korgaonkar, Ibrahim Awwal, and Tajana S. Rosing, “Characterization of User’s Behavior Variations for Design of Replayable Mobile Workloads,” 7th EAI International Conference on Mobile Computing, Applications and Services (MobiCASE 2015), November 2015
  66. Yeseong Kim, Francesco Paterna, Sameer Tilak, and Tajana S. Rosing, “Smartphone Analysis and Optimization based on User Activity Recognition,” 2015 International Conference on Computer-Aided Design (ICCAD 2015), November 2015
  67. Yeseong Kim, Mohsen Imani, Shruti Patil, and Tajana S. Rosing, “CAUSE: Critical Application Usage-Aware Memory System using Non-volatile Memory for Mobile Devices,” 2015 International Conference on Computer-Aided Design (ICCAD 2015), November 2015
  68. Yeseong Kim, and Jihong Kim, “Personalized Diapause: Reducing Radio Energy Consumption of Smartphones by Network-context Aware Dormancy Predictions,” 2012 USENIX conference on Power-Aware Computing and Systems (HotPower’12 co-located with OSDI’12), October 2012 (One of 10 accepted out of 39 submissions)
  69. Yeseong Kim, Qingqing Zhang, Nosub Sung, and Jihong Kim, “A Mobile Network Emulation Environment for Repeatable Smartphone Performance Evaluations,” 2012 Korea Computer Congress (KCC’13), June 2013 (Best Presentation Paper)
  70. Yeseong Kim, Wook Song, and Jihong Kim, “A Smartphone Network Energy Optimization Technique Using Personalized Network Usage Behavior,” 2012 Korea Computer Congress (KCC’12), June 2012 (Best Paper)
  71. Yeseong Kim, Jongwook Choi, Sungjin Lee, and Jihong Kim, “A Fast File Search Technique Using Direct Access of Metadata Area,” 2011 Korea Computer Congress (KCC’11), June 2011

Journal Papers

  1. S. Gupta, M. Imani, J. Sim, A. Huang, F. Wu, J. Kang, Y. Kim, and T. Rosing, “Cosmo: Computing with stochastic numbers in memory,” ACM Journal on Emerging Technologies in Computing Systems (ACM JETC), 2022
  2. J. Kang, B. Khaleghi, T. Rosing, and Y. Kim, “OpenHD: A GPU-powered framework for hyperdimensional computing,” IEEE Transactions on Computers (IEEE TC), 2022.
  3. Z. Zou, H. Alimohamadi, Y. Kim, M. H. Najafi, N. Srinivasa, and M. Imani, “Eventhd: Robust and efficient hyperdimensional learning with neuromorphic sensor,” Frontiers in Neuroscience, vol. 16, 2022.
  4. Z. Zou, H. Alimohamadi, A. Zakeri, F. Imani, Y. Kim, M. H. Najafi, and M. Imani, “Memory-inspired spiking hyperdimensional network for robust online learning,” Scientific reports, vol. 12, no. 1, 2022.
  5. H. G. Lee, M. Kim, J. Lee, E. Lee, B. S. Kim, S. Lee, Y. Kim, S. L. Min, and J.-S. Kim, “Learned performance model for SSD,” IEEE Computer Architecture Letters (CAL), vol. 20, no. 2, 2021.
  6. Yeseong Kim, Mohsen Imani, and Tajana S. Rosing, “Image Recognition Accelerator Design Using In-Memory Processing,” IEEE MICRO, IEEE Computer Society, Jan/Feb 2019
  7. Yeseong Kim, Boyeong Jeon, and Jihong Kim, “A Personalized Network Activity-Aware Approach to Reducing Radio Energy Consumption of Smartphones,” IEEE Transaction on Mobile Computing (IEEE TMC), March 2016
  8. Wook Song, Yeseong Kim, Hakbong Kim, Jehun Lim, and Jihong Kim, “Personalized Optimization for Andriod Smartphones,” ACM Transaction on Embedded Computing Systems (ACM TECS), January 2014
  9. Yeseong Kim, Qingqing Zhang, Nosub Sung, and Jihong Kim, “A Mobile Network Emulation Environment for Repeatable Performance Evaluations of Smartphones,” Journal of Korean Institute of Information Scientists and Engineers: Computer Practices (KIISE), December 2013
  10. Yeseong Kim, Wook Song, and Jihong Kim, “A Personalized Network Tail Energy Optimization Technique Based on Smartphone Network Usage Behavior,” Journal of Korean Institute of Information Scientists and Engineers: Computer Systems and Theory (KIISE), December 2012

Book Chapters

  1. Shruti Patil, Yeseong Kim, Kunal Korgaonkar, Ibrahim Awwal, and Tajana S. Rosing, “Characterization of User’s Behavior Variations for Design of Replayable Mobile Workloads,” Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST), Springer, Vol 162, pp. 51-70, 2015.

Patents

  1. 고차원 벡터 컴퓨팅 기반 로봇구동시스템 및 로봇구동방법, 김용년, 김진형, 김태형, 서일홍, 김예성, 권혁준, 10-2023-0193934, 대한민국 (South Kroea), 2023.12.28
  2. 원격 처리 장치를 포함하는 데이터 처리 시스템과 그 동작 방법 (DATA PROCESSING SYSTEM INCLUDING REMOTE PROCESSING DEVICE AND OPERATION METHOD THEREOF), 김예성, 이상훈, 박종호, 고병일, 하민호, 최정민, 10-2023-0102378, 대한민국 (South Korea), 2023.08.04
  3. 초차원 컴퓨팅 방법, 김예성, 김지승, 이현세, 10-2023-0045411, 대한민국 (South Korea), 2023.04.06
  4. Systems, circuits and computer program products providing a framework for secured collaborative training using hyper-dimensional vector based data encoding/decoding and related methods, Mohsen Imani, Yeseong Kim, Tajana Rosing, Farinaz Koushanfar, Mohammad Sadegh Riazi, 11599832, US, 2023.03.07
  5. METHOD FOR PARTITIONING A NEURAL NETWORK AND OPERATION METHOD THEREOF, Yeseong Kim, Hyukjun Kwon, Seowoo Kim, Jongho Park, Euicheol Lim, Minho Ha, 18/048.356, US, 2022.10.20
  6. 신경망 분할 장치 및 그 동작 방법, 김예성, 권혁준, 김세훈, 박종호, 임의철, 하민호, 10-2022-0060378, 대한민국 (South Korea), 2022.05.17
  7. Methods, circuits, and articles of manufacture for searching within a genomic reference sequence for queried target sequence using hyper-dimensional computing techniques, Tajana Simunic Rosing, Mohsen Imani, Yeseong Kim, Behnam Khaleghi, Alexander Niema Moshiri, Saransh Gupta, Venkatesh Kumar, US20220059189A1, US, 2022.02.24
  8. Circuits, methods, and articles of manufacture for hyper-dimensional computing systems and related applications, Tajana Simunic Rosing, Justin Morris, Mohsen Imani, Yeseong Kim, John Messerly, Yunhui Guo, Behnam Khaleghi, Saransh Gupta, Sahand Salamat, Joonseop Sim, US20220019441A1, US, 2022.01.20
  9. Systems, circuits and computer program products providing a framework for secured collaborative training using hyper-dimensional vector based data encoding/decoding and related methods, Mohsen Imani, Yeseong Kim, Tajana Rosing, Farinaz Koushanfar, Mohammad Sadegh Riazi, 16915643, US20200410404A1, US, 2020.12.31
  10. WIRELESS COMMUNIATION DEVICE AND CONTROL METHOD FOR CONTROLLING NETWORK CONNECTION THEREOF, Jihong Kim, Yeseong Kim, 1014715380000, South Korea, 2014.12.04
  11. Personalized optimization apparatus in a mobile terminal platform, Jihong Kim, Wook Song, Yeseong Kim, 1013713380000, South Korea, 2014.02.27
  12. System and Method That Exchange User Created Contents Information, and Construct and Manage User Created Contents, Connecting Computers and Portable Devices, Young-gil Shin, Hyunsang Eom, Yeseong Kim, Hyunoh Hwang, 2011008895940000, South Korea, 2009.03.12