| 2026 | DATE | MeshHD: Near-Linear Encoding for Hyperdimensional Computing via Multi-Scale Bases and Kronecker Factorization. | Woongjae Han, Jiseung Kim, Hyukjun Kwon, Hojeong Kim, Selim An, Shinhyoung Jang, Yeseong Kim |
| 2026 | DATE | Enhanced CXL Pooled Memory System for Scalable AI via Embedding Access Prediction. | Jongho Park, Hoyeon Lee, Seohyun Kim, Minho Ha, Byungil Koh, Jungmin Choi, Yeseong Kim |
| 2026 | EuroSys | Million-Scale Text-to-Video Retrieval with Hyperdimensional Computing. | Hyunsei Lee, Jaewoo Gwak, Shinhyoung Jang, Junyoung Lee, Yeseong Kim |
| 2025 | DAC | Late Breaking Results: A Diffusion-Based Framework for Configurable and Realistic Multi-Storage Trace Generation. | Seohyun Kim, Junyoung Lee, Jongho Park, Jinhyung Koo, Sungjin Lee, Yeseong Kim |
| 2025 | DATE | Late Breaking Results: Hyperdimensional Regression with Fine-Grained and Scalable Confidence-Based Learning. | Jiseung Kim, Hyunsei Lee, Tajana Rosing, Mohsen Imani, Yeseong Kim |
| 2025 | DATE | Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare. | Sungheon Jeong, Hamza Errahmouni Barkam, Sanggeon Yun, Yeseong Kim, Shaahin Angizi, Mohsen Imani |
| 2025 | DATE | Late Breaking Results: Dynamically Scalable Pruning for Transformer-Based Large Language Models. | Junyoung Lee, Shinhyoung Jang, Seohyun Kim, Jongho Park, Ilhong Suh, Hoon Sung Chwa, Yeseong Kim |
| 2025 | ICRA | Hyperdimensional Computing-Based Federated Learning in Mobile Robots Through Synthetic Oversampling. | Hyunsei Lee, Woongjae Han, Hojeong Kim, Hyukjun Kwon, Shinhyoung Jang, Ilhong Suh, Yeseong Kim |
| 2025 | ISCA | FlexNeRFer: A Multi-Dataflow, Adaptive Sparsity-Aware Accelerator for On-Device NeRF Rendering. | Seock-Hwan Noh, Banseok Shin, Jeik Choi, Seungpyo Lee, Jaeha Kung, Yeseong Kim |
| 2025 | ISLPED | Jack Unit: An Area- and Energy-Efficient Multiply-Accumulate (MAC) Unit Supporting Diverse Data Formats. | Seock-Hwan Noh, Sungju Kim, Seohyun Kim, Daehoon Kim, Jaeha Kung, Yeseong Kim |
| 2025 | SIGMETRICS | Diffusion-Based Generative System Surrogates for Scalable Learning-Driven Optimization in Virtual Playgrounds. | Junyoung Lee, Seohyun Kim, Shinhyoung Jang, Jongho Park, Yeseong Kim |
| 2024 | ASPLOS | NDPipe: Exploiting Near-data Processing for Scalable Inference and Continuous Training in Photo Storage. | Jungwoo Kim, Seonggyun Oh, Jaeha Kung, Yeseong Kim, Sungjin Lee |
| 2024 | DATE | Towards Forward-Only Learning for Hyperdimensional Computing. | Hyunsei Lee, Hyukjun Kwon, Jiseung Kim, Seohyun Kim, Mohsen Imani, Yeseong Kim |
| 2024 | ICCD | Efficient Forward-Only Training for Brain-Inspired Hyperdimensional Computing. | Hyunsei Lee, Jiseung Kim, Seohyun Kim, Hyukjun Kwon, Mohsen Imani, Ilhong Suh, Yeseong Kim |
| 2024 | ICRA | Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots. | Hyukjun Kwon, Kangwon Kim, Junyoung Lee, Hyunsei Lee, Jiseung Kim, Jinhyung Kim, Taehyung Kim, Yongnyeon Kim, Yang Ni, Mohsen Imani, Ilhong Suh, Yeseong Kim |
| 2023 | DAC | Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI. | Hyunsei Lee, Jiseung Kim, Hanning Chen, Ariela Zeira, Narayan Srinivasa, Mohsen Imani, Yeseong Kim |
| 2023 | DAC | Sidekick: Near Data Processing for Clustering Enhanced by Automatic Memory Disaggregation. | Sanghoon Lee, Jongho Park, Minho Ha, Byungil Koh, Kyoung Park, Yeseong Kim |
| 2023 | DATE | Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation. | Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim |
| 2023 | ICDCS | Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems. | Mohsen Imani, Yeseong Kim, Behnam Khaleghi, Justin Morris, Haleh Alimohamadi, Farhad Imani, Hugo Latapie |
| 2023 | IJCAI | Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract). | Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani |
| 2022 | ASPDAC | XCelHD: An Efficient GPU-Powered Hyperdimensional Computing with Parallelized Training. | Jaeyoung Kang, Behnam Khaleghi, Yeseong Kim, Tajana Rosing |
| 2022 | DAC | Neural computation for robust and holographic face detection. | Mohsen Imani, Ali Zakeri, Hanning Chen, Taehyun Kim, Prathyush Poduval, Hyunsei Lee, Yeseong Kim, Elaheh Sadredini, Farhad Imani |
| 2022 | DAC | QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning. | Jongho Park, Hyukjun Kwon, Seowoo Kim, Junyoung Lee, Minho Ha, Euicheol Lim, Mohsen Imani, Yeseong Kim |
| 2022 | DAC | Adaptive neural recovery for highly robust brain-like representation. | Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rosario Cammarota, Mohsen Imani |
| 2022 | DATE | Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge. | Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani |
| 2022 | DATE | Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization. | Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani |
| 2022 | DATE | DeepPM: Transformer-based Power and Performance Prediction for Energy-Aware Software. | Jun S. Shim, Bogyeong Han, Yeseong Kim, Jihong Kim |
| 2022 | FAST | DeepSketch: A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression. | Jisung Park, Jeonggyun Kim, Yeseong Kim, Sungjin Lee, Onur Mutlu |
| 2022 | ISCA | BioHD: an efficient genome sequence search platform using HyperDimensional memorization. | Zhuowen Zou, Hanning Chen, Prathyush Poduval, Yeseong Kim, Mahdi Imani, Elaheh Sadredini, Rosario Cammarota, Mohsen Imani |
| 2021 | ASPDAC | HyperRec: Efficient Recommender Systems with Hyperdimensional Computing. | Yunhui Guo, Mohsen Imani, Jaeyoung Kang, Sahand Salamat, Justin Morris, Baris Aksanli, Yeseong Kim, Tajana Rosing |
| 2021 | ASPDAC | DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures. | Minxuan Zhou, Mohsen Imani, Yeseong Kim, Saransh Gupta, Tajana Rosing |
| 2021 | DAC | CascadeHD: Efficient Many-Class Learning Framework Using Hyperdimensional Computing. | Yeseong Kim, Jiseung Kim, Mohsen Imani |
| 2021 | DATE | A Framework for Efficient and Binary Clustering in High-Dimensional Space. | Alejandro Hernndez-Cano, Yeseong Kim, Mohsen Imani |
| 2021 | DATE | FPGA Acceleration of Protein Back-Translation and Alignment. | Sahand Salamat, Jaeyoung Kang, Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing |
| 2021 | DATE | ManiHD: Efficient Hyper-Dimensional Learning Using Manifold Trainable Encoder. | Zhuowen Zou, Yeseong Kim, M. Hassan Najafi, Mohsen Imani |
| 2021 | HPCA | Revisiting HyperDimensional Learning for FPGA and Low-Power Architectures. | Mohsen Imani, Zhuowen Zou, Samuel Bosch, Sanjay Anantha Rao, Sahand Salamat, Venkatesh Kumar, Yeseong Kim, Tajana Rosing |
| 2021 | ICCAD | Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture. | Yeseong Kim, Mohsen Imani, Saransh Gupta, Minxuan Zhou, Tajana Simunic Rosing |
| 2021 | MASCOTS | Efficient Brain-Inspired Hyperdimensional Learning with Spatiotemporal Structured Data. | Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim |
| 2021 | SC | Scalable edge-based hyperdimensional learning system with brain-like neural adaptation. | Zhuowen Zou, Yeseong Kim, Farhad Imani, Haleh Alimohamadi, Rosario Cammarota, Mohsen Imani |
| 2020 | DATE | GenieHD: Efficient DNA Pattern Matching Accelerator Using Hyperdimensional Computing. | Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing |
| 2020 | HPCA | Deep Learning Acceleration with Neuron-to-Memory Transformation. | Mohsen Imani, Mohammad Samragh Razlighi, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing |
| 2020 | ISLPED | SHEAR | Behnam Khaleghi, Sahand Salamat, Anthony Thomas, Fatemeh Asgarinejad, Yeseong Kim, Tajana Rosing |
| 2020 | MICRO | DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory. | Mohsen Imani, Saikishan Pampana, Saransh Gupta, Minxuan Zhou, Yeseong Kim, Tajana Rosing |
| 2019 | ASPDAC | GRAM: graph processing in a ReRAM-based computational memory. | Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing |
| 2019 | DATE | HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing. | Mohsen Imani, Yeseong Kim, Thomas Worley, Saransh Gupta, Tajana Rosing |
| 2019 | DATE | Application Performance Prediction and Optimization Under Cache Allocation Technology. | Yeseong Kim, Ankit More, Emily Shriver, Tajana Rosing |
| 2019 | ISCA | FloatPIM: in-memory acceleration of deep neural network training with high precision. | Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing |
| 2019 | SENSYS | Efficient Sparse Processing in Smart Home Applications. | Rishikanth Chandrasekaran, Yunhui Guo, Anthony Thomas, Massimiliano Menarini, Michael H. Ostertag, Yeseong Kim, Tajana Rosing |
| 2017 | ASPDAC | MPIM: Multi-purpose in-memory processing using configurable resistive memory. | Mohsen Imani, Yeseong Kim, Tajana Rosing |
| 2017 | DATE | Efficient neural network acceleration on GPGPU using content addressable memory. | Mohsen Imani, Daniel Peroni, Yeseong Kim, Abbas Rahimi, Tajana Rosing |
| 2017 | ICCAD | ORCHARD: Visual object recognition accelerator based on approximate in-memory processing. | Yeseong Kim, Mohsen Imani, Tajana Rosing |
| 2017 | ICCAD | P | Yeseong Kim, Pietro Mercati, Ankit More, Emily Shriver, Tajana Rosing |
| 2016 | ISLPED | ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning. | Mohsen Imani, Yeseong Kim, Abbas Rahimi, Tajana Rosing |
| 2015 | ICCAD | CAUSE: Critical Application Usage-Aware Memory System using Non-volatile Memory for Mobile Devices. | Yeseong Kim, Mohsen Imani, Shruti Patil, Tajana Simunic Rosing |
| 2015 | ICCAD | Smartphone Analysis and Optimization based on User Activity Recognition. | Yeseong Kim, Francesco Paterna, Sameer Tilak, Tajana Simunic Rosing |
| 2012 | OSDI | Personalized Diapause: Reducing Radio Energy Consumption of Smartphones by Network-Context Aware Dormancy Predictions. | Yeseong Kim, Jihong Kim |