Yeseong Kim

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 66

Top Topics

Data Processing

Associative Memory

Human Activity Recognition

Top Venues

Publications

Hyunsei Lee, Hyukjun Kwon, Jiseung Kim, Seohyun Kim, Mohsen Imani, Yeseong Kim
Towards Forward-Only Learning for Hyperdimensional Computing. DATE (2024)
Hyukjun Kwon, Kangwon Kim, Junyoung Lee, Hyunsei Lee, Jiseung Kim, Jinhyung Kim, Taehyung Kim, Yongnyeon Kim, Yang Ni, Mohsen Imani, Ilhong Suh, Yeseong Kim
Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots. ICRA (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. ASPLOS (3) (2024)
Sanghoon Lee, Jongho Park, Minho Ha, Byungil Koh, Kyoung Park, Yeseong Kim
Sidekick: Near Data Processing for Clustering Enhanced by Automatic Memory Disaggregation. DAC (2023)
Hyunsei Lee, Jiseung Kim, Hanning Chen, Ariela Zeira, Narayan Srinivasa, Mohsen Imani, Yeseong Kim
Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI. DAC (2023)
Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim
Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation. DATE (2023)
Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing. ACM Great Lakes Symposium on VLSI (2023)
Hanning Chen, Yeseong Kim, Elaheh Sadredini, Saransh Gupta, Hugo Latapie, Mohsen Imani
Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration. VLSI-SoC (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. ICDCS (2023)
Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract). IJCAI (2023)
Jisung Park, Jeonggyun Kim, Yeseong Kim, Sungjin Lee, Onur Mutlu
DeepSketch: A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression. FAST (2022)
Jisung Park, Jeoggyun Kim, Yeseong Kim, Sungjin Lee, Onur Mutlu
DeepSketch: A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression. CoRR (2022)
Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge. DATE (2022)
Mohsen Imani, Ali Zakeri, Hanning Chen, TaeHyun Kim, Prathyush Poduval, Hyunsei Lee, Yeseong Kim, Elaheh Sadredini, Farhad Imani
Neural computation for robust and holographic face detection. DAC (2022)
Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rosario Cammarota, Mohsen Imani
Adaptive neural recovery for highly robust brain-like representation. DAC (2022)
Jaeyoung Kang, Behnam Khaleghi, Tajana Rosing, Yeseong Kim
OpenHD: A GPU-Powered Framework for Hyperdimensional Computing. IEEE Trans. Computers 71 (11) (2022)
Jaeyoung Kang, Behnam Khaleghi, Yeseong Kim, Tajana Rosing
XCelHD: An Efficient GPU-Powered Hyperdimensional Computing with Parallelized Training. ASP-DAC (2022)
Jun S. Shim, Bogyeong Han, Yeseong Kim, Jihong Kim
DeepPM: Transformer-based Power and Performance Prediction for Energy-Aware Software. DATE (2022)
Saransh Gupta, Mohsen Imani, Joonseop Sim, Andrew Huang, Fan Wu, Jaeyoung Kang, Yeseong Kim, Tajana Simunic Rosing
COSMO: Computing with Stochastic Numbers in Memory. ACM J. Emerg. Technol. Comput. Syst. 18 (2) (2022)
Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani
QHD: A brain-inspired hyperdimensional reinforcement learning algorithm. CoRR (2022)
Jongho Park, HyukJun Kwon, Seowoo Kim, Junyoung Lee, Minho Ha, Euicheol Lim, Mohsen Imani, Yeseong Kim
QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning. DAC (2022)
Zhuowen Zou, Hanning Chen, Prathyush Poduval, Yeseong Kim, Mahdi Imani, Elaheh Sadredini, Rosario Cammarota, Mohsen Imani
BioHD: an efficient genome sequence search platform using HyperDimensional memorization. ISCA (2022)
Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani
Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization. DATE (2022)
Yeseong Kim, Mohsen Imani, Saransh Gupta, Minxuan Zhou, Tajana Simunic Rosing
Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture. ICCAD (2021)
Zhuowen Zou, Haleh Alimohamadi, Farhad Imani, Yeseong Kim, Mohsen Imani
Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework. CoRR (2021)
Minxuan Zhou, Mohsen Imani, Yeseong Kim, Saransh Gupta, Tajana Rosing
DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures. ASP-DAC (2021)
Alejandro Hernández-Cano, Yeseong Kim, Mohsen Imani
A Framework for Efficient and Binary Clustering in High-Dimensional Space. DATE (2021)
Yunhui Guo, Mohsen Imani, Jaeyoung Kang, Sahand Salamat, Justin Morris, Baris Aksanli, Yeseong Kim, Tajana Rosing
HyperRec: Efficient Recommender Systems with Hyperdimensional Computing. ASP-DAC (2021)
Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim
Efficient Brain-Inspired Hyperdimensional Learning with Spatiotemporal Structured Data. MASCOTS (2021)
Mohsen Imani, Zhuowen Zou, Samuel Bosch, Sanjay Anantha Rao, Sahand Salamat, Venkatesh Kumar, Yeseong Kim, Tajana Rosing
Revisiting HyperDimensional Learning for FPGA and Low-Power Architectures. HPCA (2021)
Hyeon Gyu Lee, Minwook Kim, Juwon Lee, Eunji Lee, Bryan S. Kim, Sungjin Lee, Yeseong Kim, Sang Lyul Min, Jin-Soo Kim
Learned Performance Model for SSD. IEEE Comput. Archit. Lett. 20 (2) (2021)
Zhuowen Zou, Yeseong Kim, M. Hassan Najafi, Mohsen Imani
ManiHD: Efficient Hyper-Dimensional Learning Using Manifold Trainable Encoder. DATE (2021)
Zhuowen Zou, Yeseong Kim, Farhad Imani, Haleh Alimohamadi, Rosario Cammarota, Mohsen Imani
Scalable edge-based hyperdimensional learning system with brain-like neural adaptation. SC (2021)
Sahand Salamat, Jaeyoung Kang, Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing
FPGA Acceleration of Protein Back-Translation and Alignment. DATE (2021)
Yeseong Kim, Jiseung Kim, Mohsen Imani
CascadeHD: Efficient Many-Class Learning Framework Using Hyperdimensional Computing. DAC (2021)
Behnam Khaleghi, Sahand Salamat, Anthony Thomas, Fatemeh Asgarinejad, Yeseong Kim, Tajana Rosing
: highly-efficient hyperdimensional computing by software-hardware enabled multifold approximation. ISLPED (2020)
Behnam Khaleghi, Sahand Salamat, Anthony Thomas, Fatemeh Asgarinejad, Yeseong Kim, Tajana Rosing
SHEARer: Highly-Efficient Hyperdimensional Computing by Software-Hardware Enabled Multifold Approximation. CoRR (2020)
Mohsen Imani, Saikishan Pampana, Saransh Gupta, Minxuan Zhou, Yeseong Kim, Tajana Rosing
DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory. MICRO (2020)
Mohsen Imani, Mohammad Samragh Razlighi, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing
Deep Learning Acceleration with Neuron-to-Memory Transformation. HPCA (2020)
Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing
GenieHD: Efficient DNA Pattern Matching Accelerator Using Hyperdimensional Computing. DATE (2020)
Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
Deep Learning Acceleration using Digital-Based Processing In-Memory. SoCC (2020)
Joonseop Sim, Saransh Gupta, Mohsen Imani, Yeseong Kim, Tajana Rosing
UPIM: Unipolar Switching Logic for High Density Processing-in-Memory Applications. ACM Great Lakes Symposium on VLSI (2019)
Mohsen Imani, Yeseong Kim, M. Sadegh Riazi, John Messerly, Patric Liu, Farinaz Koushanfar, Tajana Rosing
A Framework for Collaborative Learning in Secure High-Dimensional Space. CLOUD (2019)
Anthony Thomas, Yunhui Guo, Yeseong Kim, Baris Aksanli, Arun Kumar, Tajana Simunic Rosing
Hierarchical and Distributed Machine Learning Inference Beyond the Edge. ICNSC (2019)
Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
GRAM: graph processing in a ReRAM-based computational memory. ASP-DAC (2019)
Joonseop Sim, Minsu Kim, Yeseong Kim, Saransh Gupta, Behnam Khaleghi, Tajana Rosing
MAPIM: Mat Parallelism for High Performance Processing in Non-volatile Memory Architecture. ISQED (2019)
Dongwon Park, Ilgweon Kang, Yeseong Kim, Sicun Gao, Bill Lin, Chung-Kuan Cheng
ROAD: Routability Analysis and Diagnosis Framework Based on SAT Techniques. ISPD (2019)
Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
FloatPIM: in-memory acceleration of deep neural network training with high precision. ISCA (2019)
Rishikanth Chandrasekaran, Yunhui Guo, Anthony Thomas, Massimiliano Menarini, Michael H. Ostertag, Yeseong Kim, Tajana Rosing
Efficient Sparse Processing in Smart Home Applications. SenSys-ML (2019)
Yeseong Kim, Mohsen Imani, Tajana Simunic Rosing
Image Recognition Accelerator Design Using In-Memory Processing. IEEE Micro 39 (1) (2019)
Mohsen Imani, Saransh Gupta, Yeseong Kim, Minxuan Zhou, Tajana Rosing
DigitalPIM: Digital-based Processing In-Memory for Big Data Acceleration. ACM Great Lakes Symposium on VLSI (2019)
Yeseong Kim, Ankit More, Emily Shriver, Tajana Rosing
Application Performance Prediction and Optimization Under Cache Allocation Technology. DATE (2019)
Mohsen Imani, Yeseong Kim, Thomas Worley, Saransh Gupta, Tajana Rosing
HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing. DATE (2019)
Yeseong Kim, Mohsen Imani, Tajana Simunic Rosing
Efficient human activity recognition using hyperdimensional computing. IOT (2018)
Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing
RAPIDNN: In-Memory Deep Neural Network Acceleration Framework. CoRR (2018)
Joonseop Sim, Mohsen Imani, Woojin Choi, Yeseong Kim, Tajana Rosing
LUPIS: Latch-up based ultra efficient processing in-memory system. ISQED (2018)
Mohsen Imani, Yeseong Kim, Tajana Rosing
MPIM: Multi-purpose in-memory processing using configurable resistive memory. ASP-DAC (2017)
Yeseong Kim, Mohsen Imani, Tajana Rosing
ORCHARD: Visual object recognition accelerator based on approximate in-memory processing. ICCAD (2017)
Yeseong Kim, Pietro Mercati, Ankit More, Emily Shriver, Tajana Rosing
: Phase-based power/performance prediction of heterogeneous systems via neural networks. ICCAD (2017)
Mohsen Imani, Daniel Peroni, Yeseong Kim, Abbas Rahimi, Tajana Rosing
Efficient neural network acceleration on GPGPU using content addressable memory. DATE (2017)
Joonseop Sim, Mohsen Imani, Yeseong Kim, Tajana Rosing
Enabling efficient system design using vertical nanowire transistor current mode logic. VLSI-SoC (2017)
Wanlin Cui, Yeseong Kim, Tajana Simunic Rosing
Cross-platform machine learning characterization for task allocation in IoT ecosystems. CCWC (2017)
Mohsen Imani, Yeseong Kim, Tajana Rosing
NNgine: Ultra-Efficient Nearest Neighbor Accelerator Based on In-Memory Computing. ICRC (2017)
Mohsen Imani, Yeseong Kim, Abbas Rahimi, Tajana Rosing
ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning. ISLPED (2016)
Mohsen Imani, Abbas Rahimi, Yeseong Kim, Tajana Rosing
A low-power hybrid magnetic cache architecture exploiting narrow-width values. NVMSA (2016)
Yeseong Kim, Boyeong Jeon, Jihong Kim
A Personalized Network Activity-Aware Approach to Reducing Radio Energy Consumption of Smartphones. IEEE Trans. Mob. Comput. 15 (3) (2016)
Yeseong Kim, Mohsen Imani, Shruti Patil, Tajana Simunic Rosing
CAUSE: Critical Application Usage-Aware Memory System using Non-volatile Memory for Mobile Devices. ICCAD (2015)
Shruti Patil, Yeseong Kim, Kunal Korgaonkar, Ibrahim Awwal, Tajana Simunic Rosing
Characterization of User's Behavior Variations for Design of Replayable Mobile Workloads. MobiCASE (2015)
Yeseong Kim, Francesco Paterna, Sameer Tilak, Tajana Simunic Rosing
Smartphone Analysis and Optimization based on User Activity Recognition. ICCAD (2015)
Wook Song, Yeseong Kim, Hakbong Kim, Jehun Lim, Jihong Kim
Personalized optimization for android smartphones. ACM Trans. Embed. Comput. Syst. 13 (2s) (2014)
Yeseong Kim, Jihong Kim
Personalized Diapause: Reducing Radio Energy Consumption of Smartphones by Network-Context Aware Dormancy Predictions. HotPower (2012)