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2. Conference Papers31

  Department of Electrical Engineering and Computer Science Computation Efficient Learning Lab.

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Conference
FlexNeRFer: A Multi-Dataflow, Adaptive Sparsity-Aware Accelerator for On-Device NeRF Rendering
  • Noh, Seock-Hwan ; 
  • Shin, Banseok ; 
  • Choi, Jeik ; 
  • Lee, Seungpyo ; 
  • Kung, Jaeha ; 
  • Kim, Yeseong
  • 2025-06-25
  • Noh, Seock-Hwan. (2025-06-25). FlexNeRFer: A Multi-Dataflow, Adaptive Sparsity-Aware Accelerator for On-Device NeRF Rendering. ACM/IEEE International Symposium on Computer Architecture, 1894–1909. doi: 10.1145/3695053.3731107
  • ACM, IEEE
  • View : 243
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Conference
Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare
  • Jeong, SungHeon ; 
  • Barkam, Hamza Errahmouni ; 
  • Yun, Sanggeon ; 
  • Kim, Yeseong ; 
  • Angizi, Shaahin ; 
  • Imani, Mohsen
  • 2025-04-01
  • Jeong, SungHeon. (2025-04-01). Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare. Design Automation and Test in Europe Conference, 1–7. doi: 10.23919/DATE64628.2025.10993058
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 241
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Conference
Late Breaking Results: Hyperdimensional Regression with Fine-Grained and Scalable Confidence-Based Learning
  • Kim, Jiseung ; 
  • Lee, Hyunsei ; 
  • Rosing, Tajana ; 
  • Imani, Mohsen ; 
  • Kim, Yeseong
  • 2025-04-02
  • Kim, Jiseung. (2025-04-02). Late Breaking Results: Hyperdimensional Regression with Fine-Grained and Scalable Confidence-Based Learning. Design Automation and Test in Europe Conference, 1–2. doi: 10.23919/DATE64628.2025.10993077
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 210
  • Download : 0
Conference
Late Breaking Results: Dynamically Scalable Pruning for Transformer-Based Large Language Models
  • 2025-04-02
  • Lee, Junyoung. (2025-04-02). Late Breaking Results: Dynamically Scalable Pruning for Transformer-Based Large Language Models. Design Automation and Test in Europe Conference, 1–2. doi: 10.23919/DATE64628.2025.10992978
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 233
  • Download : 0
Conference
Efficient Forward-Only Training for Brain-Inspired Hyperdimensional Computing
  • Lee, Hyunsei ; 
  • Kim, Jiseung ; 
  • Kim, Seohyun ; 
  • Kwon, Hyukjun ; 
  • Imani, Mohsen ; 
  • Suh, Ilhong ; 
  • Kim, Yeseong
  • 2024-11-20
  • Lee, Hyunsei. (2024-11-20). Efficient Forward-Only Training for Brain-Inspired Hyperdimensional Computing. IEEE International Conference on Computer Design, 707–714. doi: 10.1109/ICCD63220.2024.00113
  • IEEE Computer Society
  • View : 135
  • Download : 0
Conference
Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots
  • Kwon, Hyukjun ; 
  • Kim, Kangwon ; 
  • Lee, Junyoung ; 
  • Lee, Hyunsei ; 
  • Kim, Jiseung ; 
  • Kim, Jinhyung ; 
  • Kim, Taehyung ; 
  • Kim, Yongnyeon ; 
  • Ni, Yang ; 
  • Imani, Mohsen ; 
    • et al
  • 2024-05-14
  • Kwon, Hyukjun. (2024-05-14). Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots. IEEE International Conference on Robotics and Automation, 5176–5182. doi: 10.1109/ICRA57147.2024.10610176
  • IEEE Robotics and Automation Society
  • View : 55
  • Download : 0

NDPipe: Exploiting Near-data Processing for Scalable Inference and Continuous Training in Photo Storage

Conference
NDPipe: Exploiting Near-data Processing for Scalable Inference and Continuous Training in Photo Storage
  • 2024-05-01
  • Kim, Jungwoo. (2024-05-01). NDPipe: Exploiting Near-data Processing for Scalable Inference and Continuous Training in Photo Storage. Architectural Support for Programming Languages and Operating Systems, 689–707. doi: 10.1145/3620666.3651345
  • Association for Computing Machinery
  • View : 298
  • Download : 44
Conference
Towards Forward-Only Learning for Hyperdimensional Computing
  • Lee, Hyunsei ; 
  • Kwon, HyukJun ; 
  • Kim, Jiseung ; 
  • Kim, Seohyun ; 
  • Imani, Mohsen ; 
  • Kim, Yeseong
  • 2024-03-26
  • Lee, Hyunsei. (2024-03-26). Towards Forward-Only Learning for Hyperdimensional Computing. Design Automation and Test in Europe Conference, 1–2. doi: 10.23919/DATE58400.2024.10546643
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 216
  • Download : 0
Conference
Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems
  • Imani, Mohsen ; 
  • Kim, Yeseong ; 
  • Khaleghi, Behnam ; 
  • Morris, Justin ; 
  • Alimohamadi, Haleh ; 
  • Imani, Farhad ; 
  • Latapie, Hugo
  • 2023-07-20
  • Imani, Mohsen. (2023-07-20). Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems. IEEE International Conference on Distributed Computing Systems, 511–522. doi: 10.1109/ICDCS57875.2023.00083
  • IEEE Computer Society
  • View : 184
  • Download : 0
Conference
Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration
  • Chen, Hanning ; 
  • Kim, Yeseong ; 
  • Sadredini, Elaheh ; 
  • Gupta, Saransh ; 
  • Latapie, Hugo ; 
  • Imani, Mohsen
  • 2023-10-16
  • Chen, Hanning. (2023-10-16). Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration. IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2023, 44–49. doi: 10.1109/VLSI-SoC57769.2023.10321874
  • International Federation for Information Processing Technical Committee
  • View : 118
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Conference
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract)
  • Ni, Yang ; 
  • Kim, Yeseong ; 
  • Rosing, Tajana ; 
  • Imani, Mohsen
  • 2023-08-24
  • Ni, Yang. (2023-08-24). Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract). International Joint Conference on Artificial Intelligence, 6474–6479. doi: 10.24963/ijcai.2023/723
  • International Joint Conferences on Artifical Intelligence (IJCAI)
  • View : 127
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Conference
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing
  • Ni, Yang ; 
  • Abraham, Danny ; 
  • Issa, Mariam ; 
  • Kim, Yeseong ; 
  • Mercati, Pietro ; 
  • Imani, Mohsen
  • 2023-06-06
  • Ni, Yang. (2023-06-06). Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing. ACM Great Lakes Symposium on VLSI, GLSVLSI 2023, 449–453. doi: 10.1145/3583781.3590298
  • ACM Special Interest Group on Design Automation (SIGDA), IEEE Council on Electronic Design Automation (CEDA)
  • View : 166
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Conference
Sidekick: Near Data Processing for Clustering Enhanced by Automatic Memory Disaggregation
  • Lee, Sanghoon ; 
  • Park, Jongho ; 
  • Ha, Minho ; 
  • Koh, Byung Il ; 
  • Park, Kyoung ; 
  • Kim, Yeseong
  • 2023-07-13
  • Lee, Sanghoon. (2023-07-13). Sidekick: Near Data Processing for Clustering Enhanced by Automatic Memory Disaggregation. Design Automation Conference. doi: 10.1109/DAC56929.2023.10247769
  • ACM Special Interest Group on Design Automation (SIGDA), IEEE Council on Electronic Design Automation (CEDA)
  • View : 113
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Conference
Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI
  • Lee, Hyunsei ; 
  • Kim, Jiseung ; 
  • Chen, Hanning ; 
  • Zeira, Ariela ; 
  • Srinivasa, Narayan ; 
  • Imani, Mohsen ; 
  • Kim, Yeseong
  • 2023-07-13
  • Lee, Hyunsei. (2023-07-13). Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI. Design Automation Conference, 23709098. doi: 10.1109/DAC56929.2023.10248004
  • ACM Special Interest Group on Design Automation (SIGDA), IEEE Council on Electronic Design Automation (CEDA)
  • View : 100
  • Download : 0
Conference
Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation
  • Kim, Jiseung ; 
  • Lee, Hyunsei ; 
  • Imani, Mohsen ; 
  • Kim, Yeseong
  • 2023-04-18
  • Kim, Jiseung. (2023-04-18). Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation. Design Automation and Test in Europe Conference. doi: 10.23919/DATE56975.2023.10137134
  • IEEE Council on Electronic Design Automation
  • View : 91
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HyperRec: Efficient Recommender Systems with Hyperdimensional Computing

Conference
HyperRec: Efficient Recommender Systems with Hyperdimensional Computing
  • Guo, Yunhui ; 
  • Imani, Mohsen ; 
  • Kang, Jaeyoung ; 
  • Salamat, Sahand ; 
  • Morris, Justin ; 
  • Aksanli, Baris ; 
  • Kim, Yeseong ; 
  • Rosing, Tajana
  • 2021-01-18
  • Guo, Yunhui. (2021-01-18). HyperRec: Efficient Recommender Systems with Hyperdimensional Computing. 26th Asia and South Pacific Design Automation Conference, ASP-DAC 2021, 384–389. doi: 10.1145/3394885.3431553
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 152
  • Download : 29
Conference
ManiHD: Efficient Hyper-Dimensional Learning Using Manifold Trainable Encoder
  • Zou, Zhuowen ; 
  • Kim, Yeseong ; 
  • Najafi, Mohammadreza Najafi ; 
  • Imani, Mohsen
  • 2021-02-01
  • Zou, Zhuowen. (2021-02-01). ManiHD: Efficient Hyper-Dimensional Learning Using Manifold Trainable Encoder. Design Automation and Test in Europe Conference, 850–855. doi: 10.23919/DATE51398.2021.9473987
  • IEEE Council on Electronic Design Automation
  • View : 136
  • Download : 0
Conference
A Framework for Efficient and Binary Clustering in High-Dimensional Space
  • Hernandez-Cano, Alejandro ; 
  • Kim, Yeseong ; 
  • Imani, Mohsen
  • 2021-02-04
  • Hernandez-Cano, Alejandro. (2021-02-04). A Framework for Efficient and Binary Clustering in High-Dimensional Space. Design Automation and Test in Europe Conference, 1859–1864. doi: 10.23919/DATE51398.2021.9474008
  • IEEE Council on Electronic Design Automation
  • View : 79
  • Download : 0
Conference
Revisiting HyperDimensional Learning for FPGA and Low-Power Architectures
  • Imani, Mohsen ; 
  • Zou, Zhuowen ; 
  • Bosch, Samuel ; 
  • Rao, Sanjay Anantha ; 
  • Salamat, Sahand ; 
  • Kumar, Venkatesh ; 
  • Kim, Yeseong ; 
  • Rosing, Tajana
  • 2021-03-01
  • Imani, Mohsen. (2021-03-01). Revisiting HyperDimensional Learning for FPGA and Low-Power Architectures. International Symposium on High-Performance Computer Architecture, 221–234. doi: 10.1109/HPCA51647.2021.00028
  • IEEE Computer Society
  • View : 147
  • Download : 0
Conference
Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture
  • Kim, Yeseong ; 
  • Imani, Mohsen ; 
  • Gupta, Saransh ; 
  • Zhou, Minxuan ; 
  • Rosing, Tajana S.
  • 2021-11-03
  • Kim, Yeseong. (2021-11-03). Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture. IEEE/ACM International Conference on Computer-Aided Design, 1–9. doi: 10.1109/ICCAD51958.2021.9643480
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 131
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