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Brain-inspired hyperdimensional computing
Lightweight and on-device AI
Efficient learning methodologies
Processing-in-memory and near-data processing systems
Embedded systems and computer architecture
Deep learning acceleration
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교수 프로필
김예성
교수Background
학력
2013 ~ 2020
Ph.D., Computer Science and Engineering, University of California San Diego, US (Advisor: Tajana S. Rosing)
2004 ~ 2011
B.S., Computer Science and Engineering, Seoul National University, Korea (Advisor: Jihong Kim)
Experience
주요경력
2024 ~ Present
Technical Program Committee, IEEE International Symposium on High-Performance Computer Architecture (HPCA)
2023 ~ Present
Technical Program Committee, IEEE International Conference on Big Data (BigData)
2023 ~ Present
Technical Program Committee, IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
2018 ~ Present
External Reviewer, Design Automation Conference (DAC)
2021
Organizing Committee, Financial Chair, IEEE ISORC
2017.05 ~ 2017.09
DCG (Data Center Group), Intel
2015.06 ~ 2015.09
SCL (Strategic CAD Lab.), Intel
2014.06 ~ 2014.09
ASEL (Advanced System Engineering Lab.), Samsung Research America
2007.01 ~ 2010.02
FINALData Inc.
Focus
전문분야
Publications
학술지
Journal Papers
J Kim, H Lee, M Imani, Y Kim, "Advancing Hyperdimensional Computing Based on Trainable Encoding and Adaptive Training for Efficient and Accurate Learning," ACM Transactions on Design Automation of Electronic Systems, ACM, 2024
Jun S. Shim, Hyeonji Chang, Yeseong Kim, and Jihong Kim. "DeepPM: Predicting Performance and Energy Consumption of Program Binaries Using Transformers." ACM Trans. Des. Autom. Electron. Syst., 2025
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
J. Kang, B. Khaleghi, T. Rosing, and Y. Kim, "OpenHD: A GPU-powered framework for hyperdimensional computing," IEEE Transactions on Computers (IEEE TC), 2022
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
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
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
Yeseong Kim, Mohsen Imani, and Tajana S. Rosing, "Image Recognition Accelerator Design Using In-Memory Processing," IEEE MICRO, IEEE Computer Society, Jan/Feb 2019
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
Wook Song, Yeseong Kim, Hakbong Kim, Jehun Lim, and Jihong Kim, "Personalized Optimization for Android Smartphones," ACM Transaction on Embedded Computing Systems (ACM TECS), January 2014
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
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
Conference
학술회의논문
Junyoung Lee, Sehyeon Park, Shinhyoung Jang, Seonha Ryu, Hojeong Kim, Hyunsei Lee, Il Hong Suh, and Yeseong Kim. "FOCUS & RePAIR: Mitigating Text Degeneration via Token-Level Guidance for Pruned Large Language Models", to appear in International Conference on Machine Learning (ICML) 2026 Spotlight
Hyunsei Lee, Jaewoo Gwak, Shinhyoung Jang, Junyoung Lee, and Yeseong Kim. "Million-Scale Text-to-Video Retrieval with Hyperdimensional Computing", to appear in Proceedings of the 2026 European Conference on Computer Systems (EuroSys 2026)
Selim An, Il Hong Suh, and Yeseong Kim. "GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs," in The Fourteenth International Conference on Learning Representations (ICLR), 2026
Woong Jae Han, Jiseung Kim, Hyukjun Kwon, Hojeong Kim, Selim An, Shinhyoung Jang, and Yeseong Kim. "MeshHD: Near-Linear Encoding for Hyperdimensional Computing via Multi-Scale Bases and Kronecker Factorization", in 2026 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, 2026
Jongho Park, Hoyeon Lee, Seohyun Kim, Minho Ha, Byungil Koh, Jungmin Choi, and Yeseong Kim. "Enhanced CXL Pooled Memory System for Scalable AI via Embedding Access Prediction", in 2026 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, 2026
Hyunsei Lee, Shinhyoung Jang, Jaewoo Gwak, Jongho Park, and Yeseong Kim. "Bit-Level Semantics: Scalable RAG Retrieval with Neurosymbolic Hyperdimensional Computing", to appear in The International Conference on Parallel Architectures and Compilation Techniques (PACT) 2025
Seohyun Kim, Junyoung Lee, Jongho Park, Jinhyung Koo, Sungjin Lee and Yeseong Kim. "A Diffusion-Based Framework for Configurable and Realistic Multi-Storage Trace Generation", in 2025 Design Automation Conference (DAC), 2025
Jiseung Kim, Hyunsei Lee, Tajana Rosing, Mohsen Imani, Yeseong Kim "Hyperdimensional Regression with Fine-Grained and Scalable Confidence-Based Learning", in 2025 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, 2025
Junyoung Lee, Seohyun Kim, Shinhyoung Jang, Jongho Park, Yeseong Kim. "Diffusion-Based Generative System Surrogates for Scalable Learning-Driven Optimization in Virtual Playgrounds." Proceedings of the ACM on Measurement and Analysis of Computing Systems 9.2, 2025
Junyoung Lee, Shinhyoung Jang, Seohyun Kim, Jongho Park, Il Hong Suh, Hoon Sung Chwa, Yeseong Kim. "Dynamically Scalable Pruning for Transformer-Based Large Language Models", in 2025 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, 2025
H Lee, W Han, H Kim, H Kwon, S Jang, I Suh, and Y Kim. "Hyperdimensional Computing-Based Federated Learning in Mobile Robots through Synthetic Oversampling", in 2025 IEEE International Conference on Robotics and Automation (ICRA), ICRA/IEEE, 2025
Seock-Hwan Noh, Banseok Shin, Jeik Choi, Seungpyo Lee, Jaeha Kung, Yeseong Kim. "FlexNeRFer: A Multi-Dataflow, Adaptive Sparsity-Aware Accelerator for On-Device NeRF Rendering", 2025 ACM/IEEE 52st Annual International Symposium on Computer Architecture (ISCA), Tokyo, Japan, 2025
SungHeon Jeong, Hamza Errahmouni Barkam, Sanggeon Yun, Yeseong Kim, Shaahin Angizi, Mohsen Imani, "Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare", DATE 2025
H Lee, J Kim, S Kim, H Kwon, M Imani, I Suh, Y Kim, "Efficient Forward-Only Training for Brain-Inspired Hyperdimensional Computing", 2024 IEEE 42nd International Conference on Computer Design (ICCD), IEEE, 2024
Jungwoo Kim, Seonggyun Oh, Jaeha Kung, Yeseong Kim, Sungjin Lee, "NDPipe: Exploiting Near-data Processing for Scalable Inference and Continuous Training in Photo Storage", Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3
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
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
Hanning Chen, Yeseong Kim, Elaheh Sadredini, Saransh Gupta, Hugo Latapie, Mohsen Imani, "Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration", 2023 IFIP/IEEE 31st International Conference on Very Large Scale Integration (VLSI-SoC), IFIP/IEEE, 2023
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)
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), 2023
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
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
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
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
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
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)
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
Yeseong Kim, Jiseung Kim, and Mohsen Imani, "CascadeHD: Efficient Many-Class Learning Framework Using Hyperdimensional Computing," IEEE/ACM Design Automation Conference (DAC), Dec 2021
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)
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
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
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, October 2012
Highlights
연구실적
Visual-Language Model (VLM) for Dynamic Environment Understanding in Non-Learning Spaces, Ministry of Trade, Industry and Energy, 2024-Present
Hyperdimensional Computing for Comprehensive Technology Development, Cogarobotics, 2022-Present
1T-1C DRAM Array Based High-Bandwidth, Ultra-High Efficiency Processing-in-Memory Accelerator, IITP, 2022-Present
Research Center for Extreme Exploitation of Dark Data (EEDD), ERC, 2021-Present
Software Framework for Multiple Deep Learning Model Accelerations on Near Data Processing Architecture with Pooled Memory Systems, SK Hynix, 2020-Present
Center for Research on Intelligent Storage and Processing-in-memory (CRISP), Joint University Microelectronics Program (JUMP) SRC, 2018-2020
Power Efficient, Hierarchical, Introspection Framework for HPC Systems, Intel, 2016-Present
Cognitive Hardware and Software Ecosystem Community Infrastructure (CHASE-CI), NSF, 2017-2020
ENACT: Environment-Aware Management of Mobile Systems, NSF, 2015-2020
Intellectual Property
IP
고차원 벡터 컴퓨팅 기반 로봇구동시스템 및 로봇구동방법, 김용년, 김진형, 김태형, 서일홍, 김예성, 권혁준, 10-2023-0193934, 대한민국, 2023.12.28
원격 처리 장치를 포함하는 데이터 처리 시스템과 그 동작 방법, 김예성, 이상훈, 박종호, 고병일, 하민호, 최정민, 10-2023-0102378, 대한민국, 2023.08.04
초차원 컴퓨팅 방법, 김예성, 김지승, 이현세, 10-2023-0045411, 대한민국, 2023.04.06
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
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
신경망 분할 장치 및 그 동작 방법, 김예성, 권혁준, 김세훈, 박종호, 임의철, 하민호, 10-2022-0060378, 대한민국, 2022.05.17
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
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
WIRELESS COMMUNIATION DEVICE AND CONTROL METHOD FOR CONTROLLING NETWORK CONNECTION THEREOF, Jihong Kim, Yeseong Kim, 1014715380000, South Korea, 2014.12.04
Personalized optimization apparatus in a mobile terminal platform, Jihong Kim, Wook Song, Yeseong Kim, 1013713380000, South Korea, 2014.02.27
Overview
추가 소개
김예성 교수는 POSTECH 전기전자공학과 교수이며, 인공지능대학원 겸임 및 CELL(Computing for Embedded Lightweight Learning) 연구실을 이끌고 있습니다. 연구실은 뇌의 정보 표현 방식에서 영감을 받은 초차원 컴퓨팅 기반의 효율적 학습 방법론, 경량 및 온디바이스 AI, 딥러닝 기반 미래 시스템 구축을 중점적으로 연구합니다.
Source: CELL Professor, CELL Publications