Yeseong Kim - RankMe

95 papers A* 16A 27B 4C 3Journal 22Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs. CoRR Selim An, Ilhong Suh, Yeseong Kim
2026	A	`conf`	Million-Scale Text-to-Video Retrieval with Hyperdimensional Computing. EuroSys Hyunsei Lee, Jaewoo Gwak, Shinhyoung Jang, Junyoung Lee, Yeseong Kim
2025	J	`jnl`	A Diffusion-Based Framework for Configurable and Realistic Multi-Storage Trace Generation. CoRR Seohyun Kim, Junyoung Lee, Jongho Park, Jinhyung Koo, Sungjin Lee, Yeseong Kim
2025	B	`conf`	Bit-Level Semantics: Scalable RAG Retrieval with Neurosymbolic Hyperdimensional Computing. PACT Hyunsei Lee, Shinhyoung Jang, Jaewoo Gwak, Jongho Park, Yeseong Kim
2025	J	`jnl`	DeepPM: Predicting Performance and Energy Consumption of Program Binaries Using Transformers. ACM Trans. Design Autom. Electr. Syst. Jun S. Shim, Hyeonji Chang, Yeseong Kim, Jihong Kim
2025	—	`conf`	Diffusion-Based Generative System Surrogates for Scalable Learning-Driven Optimization in Virtual Playgrounds. SIGMETRICS (Abstracts) Junyoung Lee, Seohyun Kim, Shinhyoung Jang, Jongho Park, Yeseong Kim
2025	J	`jnl`	Diffusion-Based Generative System Surrogates for Scalable Learning-Driven Optimization in Virtual Playgrounds. Proc. ACM Meas. Anal. Comput. Syst. Junyoung Lee, Seohyun Kim, Shinhyoung Jang, Jongho Park, Yeseong Kim
2025	A	`conf`	Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare. DATE Sungheon Jeong, Hamza Errahmouni Barkam, Sanggeon Yun, Yeseong Kim, Shaahin Angizi, Mohsen Imani
2025	J	`jnl`	FineScope : Precision Pruning for Domain-Specialized Large Language Models Using SAE-Guided Self-Data Cultivation. CoRR Chaitali Bhattacharyya, Yeseong Kim
2025	J	`jnl`	FlashVault: Versatile In-NAND Self-Encryption with Zero Area Overhead. CoRR Seock-Hwan Noh, Hoyeon Lee, Junkyum Kim, Junsu Im, Jay H. Park, Sungjin Lee, Sam H. Noh, Yeseong Kim, Jaeha Kung
2025	A*	`conf`	FlexNeRFer: A Multi-Dataflow, Adaptive Sparsity-Aware Accelerator for On-Device NeRF Rendering. ISCA Seock-Hwan Noh, Banseok Shin, Jeik Choi, Seungpyo Lee, Jaeha Kung, Yeseong Kim
2025	J	`jnl`	FlexNeRFer: A Multi-Dataflow, Adaptive Sparsity-Aware Accelerator for On-Device NeRF Rendering. CoRR Seock-Hwan Noh, Banseok Shin, Jeik Choi, Seungpyo Lee, Jaeha Kung, Yeseong Kim
2025	A*	`conf`	Hyperdimensional Computing-Based Federated Learning in Mobile Robots Through Synthetic Oversampling. ICRA Hyunsei Lee, Woongjae Han, Hojeong Kim, Hyukjun Kwon, Shinhyoung Jang, Ilhong Suh, Yeseong Kim
2025	A	`conf`	Jack Unit: An Area- and Energy-Efficient Multiply-Accumulate (MAC) Unit Supporting Diverse Data Formats. ISLPED Seock-Hwan Noh, Sungju Kim, Seohyun Kim, Daehoon Kim, Jaeha Kung, Yeseong Kim
2025	J	`jnl`	Jack Unit: An Area- and Energy-Efficient Multiply-Accumulate (MAC) Unit Supporting Diverse Data Formats. CoRR Seock-Hwan Noh, Sungju Kim, Seohyun Kim, Daehoon Kim, Jaeha Kung, Yeseong Kim
2025	A*	`conf`	Late Breaking Results: A Diffusion-Based Framework for Configurable and Realistic Multi-Storage Trace Generation. DAC Seohyun Kim, Junyoung Lee, Jongho Park, Jinhyung Koo, Sungjin Lee, Yeseong Kim
2025	A	`conf`	Late Breaking Results: Dynamically Scalable Pruning for Transformer-Based Large Language Models. DATE Junyoung Lee, Shinhyoung Jang, Seohyun Kim, Jongho Park, Ilhong Suh, Hoon Sung Chwa, Yeseong Kim
2025	A	`conf`	Late Breaking Results: Hyperdimensional Regression with Fine-Grained and Scalable Confidence-Based Learning. DATE Jiseung Kim, Hyunsei Lee, Tajana Rosing, Mohsen Imani, Yeseong Kim
2025	B	`conf`	PersonalizedHD: Hyperdimensional Online Learning with Scalable Personalization and Memory-Efficient Replay. IEEE Big Data Shinhyoung Jang, Junyoung Lee, Seohyun Kim, Hyunsei Lee, Ilhong Suh, Yeseong Kim
2025	J	`jnl`	Rethinking Caching for LLM Serving Systems: Beyond Traditional Heuristics. CoRR Jungwoo Kim, Minsang Kim, Jaeheon Lee, Chanwoo Moon, Heejin Kim, Taeho Hwang, Woosuk Chung, Yeseong Kim, Sungjin Lee
2024	J	`jnl`	Advancing Hyperdimensional Computing Based on Trainable Encoding and Adaptive Training for Efficient and Accurate Learning. ACM Trans. Design Autom. Electr. Syst. Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim
2024	A*	`conf`	Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots. ICRA Hyukjun Kwon, Kangwon Kim, Junyoung Lee, Hyunsei Lee, Jiseung Kim, Jinhyung Kim, TaeHyung Kim, Yongnyeon Kim, Yang Ni, Mohsen Imani, Ilhong Suh, Yeseong Kim
2024	C	`conf`	Efficient Forward-Only Training for Brain-Inspired Hyperdimensional Computing. ICCD Hyunsei Lee, Jiseung Kim, Seohyun Kim, Hyukjun Kwon, Mohsen Imani, Ilhong Suh, Yeseong Kim
2024	J	`jnl`	Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare. CoRR Sungheon Jeong, Hamza Errahmouni Barkam, Sanggeon Yun, Yeseong Kim, Shaahin Angizi, Mohsen Imani
2024	—	`conf`	NDPipe: Exploiting Near-data Processing for Scalable Inference and Continuous Training in Photo Storage. ASPLOS (3) Jungwoo Kim, Seonggyun Oh, Jaeha Kung, Yeseong Kim, Sungjin Lee
2024	A	`conf`	Towards Forward-Only Learning for Hyperdimensional Computing. DATE Hyunsei Lee, Hyukjun Kwon, Jiseung Kim, Seohyun Kim, Mohsen Imani, Yeseong Kim
2023	A*	`conf`	Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract). IJCAI Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani
2023	A*	`conf`	Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI. DAC Hyunsei Lee, Jiseung Kim, Hanning Chen, Ariela Zeira, Narayan Srinivasa, Mohsen Imani, Yeseong Kim
2023	A	`conf`	Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation. DATE Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim
2023	—	`conf`	Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing. ACM Great Lakes Symposium on VLSI Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani
2023	A	`conf`	Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems. ICDCS Mohsen Imani, Yeseong Kim, Behnam Khaleghi, Justin Morris, Haleh Alimohamadi, Farhad Imani, Hugo Latapie
2023	A*	`conf`	Sidekick: Near Data Processing for Clustering Enhanced by Automatic Memory Disaggregation. DAC Sanghoon Lee, Jongho Park, Minho Ha, Byungil Koh, Kyoung Park, Yeseong Kim
2023	C	`conf`	Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration. VLSI-SoC Hanning Chen, Yeseong Kim, Elaheh Sadredini, Saransh Gupta, Hugo Latapie, Mohsen Imani
2022	A*	`conf`	Adaptive neural recovery for highly robust brain-like representation. DAC Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rosario Cammarota, Mohsen Imani
2022	A	`conf`	Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge. DATE Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani
2022	A*	`conf`	BioHD: an efficient genome sequence search platform using HyperDimensional memorization. ISCA Zhuowen Zou, Hanning Chen, Prathyush Poduval, Yeseong Kim, Mahdi Imani, Elaheh Sadredini, Rosario Cammarota, Mohsen Imani
2022	J	`jnl`	COSMO: Computing with Stochastic Numbers in Memory. ACM J. Emerg. Technol. Comput. Syst. Saransh Gupta, Mohsen Imani, Joonseop Sim, Andrew Huang, Fan Wu, Jaeyoung Kang, Yeseong Kim, Tajana Simunic Rosing
2022	A	`conf`	DeepPM: Transformer-based Power and Performance Prediction for Energy-Aware Software. DATE Jun S. Shim, Bogyeong Han, Yeseong Kim, Jihong Kim
2022	A	`conf`	DeepSketch: A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression. FAST Jisung Park, Jeonggyun Kim, Yeseong Kim, Sungjin Lee, Onur Mutlu
2022	J	`jnl`	DeepSketch: A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression. CoRR Jisung Park, Jeoggyun Kim, Yeseong Kim, Sungjin Lee, Onur Mutlu
2022	A*	`conf`	Neural computation for robust and holographic face detection. DAC Mohsen Imani, Ali Zakeri, Hanning Chen, Taehyun Kim, Prathyush Poduval, Hyunsei Lee, Yeseong Kim, Elaheh Sadredini, Farhad Imani
2022	A	`conf`	Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization. DATE Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani
2022	J	`jnl`	OpenHD: A GPU-Powered Framework for Hyperdimensional Computing. IEEE Trans. Computers Jaeyoung Kang, Behnam Khaleghi, Tajana Rosing, Yeseong Kim
2022	J	`jnl`	QHD: A brain-inspired hyperdimensional reinforcement learning algorithm. CoRR Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani
2022	A*	`conf`	QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning. DAC Jongho Park, Hyukjun Kwon, Seowoo Kim, Junyoung Lee, Minho Ha, Euicheol Lim, Mohsen Imani, Yeseong Kim
2022	—	`conf`	XCelHD: An Efficient GPU-Powered Hyperdimensional Computing with Parallelized Training. ASP-DAC Jaeyoung Kang, Behnam Khaleghi, Yeseong Kim, Tajana Rosing
2021	A	`conf`	A Framework for Efficient and Binary Clustering in High-Dimensional Space. DATE Alejandro Hernández-Cano, Yeseong Kim, Mohsen Imani
2021	A*	`conf`	CascadeHD: Efficient Many-Class Learning Framework Using Hyperdimensional Computing. DAC Yeseong Kim, Jiseung Kim, Mohsen Imani
2021	—	`conf`	DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures. ASP-DAC Minxuan Zhou, Mohsen Imani, Yeseong Kim, Saransh Gupta, Tajana Rosing
2021	B	`conf`	Efficient Brain-Inspired Hyperdimensional Learning with Spatiotemporal Structured Data. MASCOTS Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim
2021	A	`conf`	FPGA Acceleration of Protein Back-Translation and Alignment. DATE Sahand Salamat, Jaeyoung Kang, Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing
2021	—	`conf`	HyperRec: Efficient Recommender Systems with Hyperdimensional Computing. ASP-DAC Yunhui Guo, Mohsen Imani, Jaeyoung Kang, Sahand Salamat, Justin Morris, Baris Aksanli, Yeseong Kim, Tajana Rosing
2021	J	`jnl`	Learned Performance Model for SSD. IEEE Comput. Archit. Lett. Hyeon Gyu Lee, Minwook Kim, Juwon Lee, Eunji Lee, Bryan S. Kim, Sungjin Lee, Yeseong Kim, Sang Lyul Min, Jin-Soo Kim
2021	A	`conf`	ManiHD: Efficient Hyper-Dimensional Learning Using Manifold Trainable Encoder. DATE Zhuowen Zou, Yeseong Kim, M. Hassan Najafi, Mohsen Imani
2021	A	`conf`	Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture. ICCAD Yeseong Kim, Mohsen Imani, Saransh Gupta, Minxuan Zhou, Tajana Simunic Rosing
2021	A*	`conf`	Revisiting HyperDimensional Learning for FPGA and Low-Power Architectures. HPCA Mohsen Imani, Zhuowen Zou, Samuel Bosch, Sanjay Anantha Rao, Sahand Salamat, Venkatesh Kumar, Yeseong Kim, Tajana Rosing
2021	A	`conf`	Scalable edge-based hyperdimensional learning system with brain-like neural adaptation. SC Zhuowen Zou, Yeseong Kim, Farhad Imani, Haleh Alimohamadi, Rosario Cammarota, Mohsen Imani
2021	J	`jnl`	Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework. CoRR Zhuowen Zou, Haleh Alimohamadi, Farhad Imani, Yeseong Kim, Mohsen Imani
2020	A*	`conf`	DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory. MICRO Mohsen Imani, Saikishan Pampana, Saransh Gupta, Minxuan Zhou, Yeseong Kim, Tajana Rosing
2020	—	`conf`	Deep Learning Acceleration using Digital-Based Processing In-Memory. SoCC Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
2020	A*	`conf`	Deep Learning Acceleration with Neuron-to-Memory Transformation. HPCA Mohsen Imani, Mohammad Samragh Razlighi, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing
2020	—	`—`	Efficient Learning in Heterogeneous Internet of Things Ecosystems Yeseong Kim
2020	A	`conf`	GenieHD: Efficient DNA Pattern Matching Accelerator Using Hyperdimensional Computing. DATE Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing
2020	A	`conf`	SHEAR ISLPED Behnam Khaleghi, Sahand Salamat, Anthony Thomas, Fatemeh Asgarinejad, Yeseong Kim, Tajana Rosing
2020	J	`jnl`	SHEARer: Highly-Efficient Hyperdimensional Computing by Software-Hardware Enabled Multifold Approximation. CoRR Behnam Khaleghi, Sahand Salamat, Anthony Thomas, Fatemeh Asgarinejad, Yeseong Kim, Tajana Rosing
2019	B	`conf`	A Framework for Collaborative Learning in Secure High-Dimensional Space. CLOUD Mohsen Imani, Yeseong Kim, M. Sadegh Riazi, John Messerly, Patric Liu, Farinaz Koushanfar, Tajana Rosing
2019	A	`conf`	Application Performance Prediction and Optimization Under Cache Allocation Technology. DATE Yeseong Kim, Ankit More, Emily Shriver, Tajana Rosing
2019	—	`conf`	DigitalPIM: Digital-based Processing In-Memory for Big Data Acceleration. ACM Great Lakes Symposium on VLSI Mohsen Imani, Saransh Gupta, Yeseong Kim, Minxuan Zhou, Tajana Rosing
2019	—	`conf`	Efficient Sparse Processing in Smart Home Applications. SenSys-ML Rishikanth Chandrasekaran, Yunhui Guo, Anthony Thomas, Massimiliano Menarini, Michael H. Ostertag, Yeseong Kim, Tajana Rosing
2019	A*	`conf`	FloatPIM: in-memory acceleration of deep neural network training with high precision. ISCA Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
2019	—	`conf`	GRAM: graph processing in a ReRAM-based computational memory. ASP-DAC Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
2019	A	`conf`	HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing. DATE Mohsen Imani, Yeseong Kim, Thomas Worley, Saransh Gupta, Tajana Rosing
2019	—	`conf`	Hierarchical and Distributed Machine Learning Inference Beyond the Edge. ICNSC Anthony Thomas, Yunhui Guo, Yeseong Kim, Baris Aksanli, Arun Kumar, Tajana Simunic Rosing
2019	J	`jnl`	Image Recognition Accelerator Design Using In-Memory Processing. IEEE Micro Yeseong Kim, Mohsen Imani, Tajana Simunic Rosing
2019	—	`conf`	MAPIM: Mat Parallelism for High Performance Processing in Non-volatile Memory Architecture. ISQED Joonseop Sim, Minsu Kim, Yeseong Kim, Saransh Gupta, Behnam Khaleghi, Tajana Rosing
2019	—	`conf`	ROAD: Routability Analysis and Diagnosis Framework Based on SAT Techniques. ISPD Dongwon Park, Ilgweon Kang, Yeseong Kim, Sicun Gao, Bill Lin, Chung-Kuan Cheng
2019	—	`conf`	UPIM: Unipolar Switching Logic for High Density Processing-in-Memory Applications. ACM Great Lakes Symposium on VLSI Joonseop Sim, Saransh Gupta, Mohsen Imani, Yeseong Kim, Tajana Rosing
2018	—	`conf`	Efficient human activity recognition using hyperdimensional computing. IOT Yeseong Kim, Mohsen Imani, Tajana Simunic Rosing
2018	—	`conf`	LUPIS: Latch-up based ultra efficient processing in-memory system. ISQED Joonseop Sim, Mohsen Imani, Woojin Choi, Yeseong Kim, Tajana Rosing
2018	J	`jnl`	RAPIDNN: In-Memory Deep Neural Network Acceleration Framework. CoRR Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing
2017	—	`conf`	Cross-platform machine learning characterization for task allocation in IoT ecosystems. CCWC Wanlin Cui, Yeseong Kim, Tajana Simunic Rosing
2017	A	`conf`	Efficient neural network acceleration on GPGPU using content addressable memory. DATE Mohsen Imani, Daniel Peroni, Yeseong Kim, Abbas Rahimi, Tajana Rosing
2017	C	`conf`	Enabling efficient system design using vertical nanowire transistor current mode logic. VLSI-SoC Joonseop Sim, Mohsen Imani, Yeseong Kim, Tajana Rosing
2017	—	`conf`	MPIM: Multi-purpose in-memory processing using configurable resistive memory. ASP-DAC Mohsen Imani, Yeseong Kim, Tajana Rosing
2017	—	`conf`	NNgine: Ultra-Efficient Nearest Neighbor Accelerator Based on In-Memory Computing. ICRC Mohsen Imani, Yeseong Kim, Tajana Rosing
2017	A	`conf`	ORCHARD: Visual object recognition accelerator based on approximate in-memory processing. ICCAD Yeseong Kim, Mohsen Imani, Tajana Rosing
2017	A	`conf`	P ICCAD Yeseong Kim, Pietro Mercati, Ankit More, Emily Shriver, Tajana Rosing
2016	J	`jnl`	A Personalized Network Activity-Aware Approach to Reducing Radio Energy Consumption of Smartphones. IEEE Trans. Mob. Comput. Yeseong Kim, Boyeong Jeon, Jihong Kim
2016	—	`conf`	A low-power hybrid magnetic cache architecture exploiting narrow-width values. NVMSA Mohsen Imani, Abbas Rahimi, Yeseong Kim, Tajana Rosing
2016	A	`conf`	ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning. ISLPED Mohsen Imani, Yeseong Kim, Abbas Rahimi, Tajana Rosing
2015	A	`conf`	CAUSE: Critical Application Usage-Aware Memory System using Non-volatile Memory for Mobile Devices. ICCAD Yeseong Kim, Mohsen Imani, Shruti Patil, Tajana Simunic Rosing
2015	—	`conf`	Characterization of User's Behavior Variations for Design of Replayable Mobile Workloads. MobiCASE Shruti Patil, Yeseong Kim, Kunal Korgaonkar, Ibrahim Awwal, Tajana Simunic Rosing
2015	A	`conf`	Smartphone Analysis and Optimization based on User Activity Recognition. ICCAD Yeseong Kim, Francesco Paterna, Sameer Tilak, Tajana Simunic Rosing
2014	J	`jnl`	Personalized optimization for android smartphones. ACM Trans. Embed. Comput. Syst. Wook Song, Yeseong Kim, Hakbong Kim, Jehun Lim, Jihong Kim
2012	—	`conf`	Personalized Diapause: Reducing Radio Energy Consumption of Smartphones by Network-Context Aware Dormancy Predictions. HotPower Yeseong Kim, Jihong Kim