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ORCIDJaeyoung Kang 0001
Person information
- affiliation: University of California, San Diego, CA, USA
- affiliation (former): Korea University, Seoul, Korea
Other persons with the same name
- Jaeyoung Kang 0002 — Accenture Technology Laboratories, San Jose, CA, USA
- Jaeyoung Kang 0003
![[0000-0003-1483-0278]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1483-0278")
— Inha University, Department of Mechanical Engineering, Incheon, South Korea
2020 – today
- 2025
[j6]Jaeyoung Kang, Minxuan Zhou, Weihong Xu, Tajana Rosing:
RelHDx: Hyperdimensional Computing for Learning on Graphs With FeFET Acceleration. IEEE Trans. Computers 74(5): 1730-1742 (2025)- 2024
- [j5]Jaeyoung Kang, Weihong Xu, Wout Bittremieux, Niema Moshiri, Tajana Simunic Rosing:
DRAM-Based Acceleration of Open Modification Search in Hyperdimensional Space. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(9): 2592-2605 (2024) - [c14]Jaeyoung Kang, Youhak Lee, Minxuan Zhou, Weihong Xu, Tajana Rosing:
HygHD: Hyperdimensional Hypergraph Learning. DATE 2024: 1-6 - [c13]Sumukh Pinge, Weihong Xu, Jaeyoung Kang, Tianqi Zhang, Niema Moshiri, Wout Bittremieux, Tajana Rosing:
SpecHD: Hyperdimensional Computing Framework for FPGA-Based Mass Spectrometry Clustering. DATE 2024: 1-6 - [c12]Weihong Xu, Jaeyoung Kang, Tajana Rosing:
AttBind: Memory-Efficient Acceleration for Long-Range Attention Using Vector-Derived Symbolic Binding. DATE 2024: 1-6 - 2023
- [c11]Weihong Xu, Jaeyoung Kang, Tajana Rosing:
FSL-HD: Accelerating Few-Shot Learning on ReRAM using Hyperdimensional Computing. DATE 2023: 1-6 - [i4]Derek Jones, Jonathan E. Allen, Xiaohua Zhang, Behnam Khaleghi, Jaeyoung Kang, Weihong Xu, Niema Moshiri, Tajana Simunic Rosing:
HD-Bind: Encoding of Molecular Structure with Low Precision, Hyperdimensional Binary Representations. CoRR abs/2303.15604 (2023) - [i3]Sumukh Pinge, Weihong Xu, Jaeyoung Kang, Tianqi Zhang, Niema Moshiri, Wout Bittremieux, Tajana Rosing:
SpecHD: Hyperdimensional Computing Framework for FPGA-based Mass Spectrometry Clustering. CoRR abs/2311.12874 (2023) - [i2]Weihong Xu, Junwei Chen, Po-Kai Hsu, Jaeyoung Kang, Minxuan Zhou, Sumukh Pinge, Shimeng Yu, Tajana Rosing:
Proxima: Near-storage Acceleration for Graph-based Approximate Nearest Neighbor Search in 3D NAND. CoRR abs/2312.04257 (2023) - 2022
- [j4]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): 37:1-37:25 (2022) - [j3]Jaeyoung Kang, Behnam Khaleghi, Tajana Rosing, Yeseong Kim:
OpenHD: A GPU-Powered Framework for Hyperdimensional Computing. IEEE Trans. Computers 71(11): 2753-2765 (2022) - [j2]Saransh Gupta, Behnam Khaleghi, Sahand Salamat, Justin Morris, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Jaeyoung Kang, Mohsen Imani, Baris Aksanli, Tajana Simunic Rosing:
Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy. ACM Trans. Embed. Comput. Syst. 21(3): 22:1-22:25 (2022) - [c10]Jaeyoung Kang, Weihong Xu, Wout Bittremieux, Tajana Rosing:
Massively Parallel Open Modification Spectral Library Searching with Hyperdimensional Computing. PACT 2022: 536-537 - [c9]Jaeyoung Kang, Behnam Khaleghi, Yeseong Kim, Tajana Rosing:
XCelHD: An Efficient GPU-Powered Hyperdimensional Computing with Parallelized Training. ASP-DAC 2022: 220-225 - [c8]Rishikanth Chandrasekaran, Kazim Ergun, Jihyun Lee, Dhanush Nanjunda, Jaeyoung Kang, Tajana Rosing:
FHDnn: communication efficient and robust federated learning for AIoT networks. DAC 2022: 37-42 - [c7]Behnam Khaleghi, Uday Mallappa, Duygu Yaldiz, Haichao Yang, Monil Shah, Jaeyoung Kang, Tajana Rosing:
PatterNet: explore and exploit filter patterns for efficient deep neural networks. DAC 2022: 223-228 - [c6]Weihong Xu, Jaeyoung Kang, Tajana Rosing:
A near-storage framework for boosted data preprocessing of mass spectrum clustering. DAC 2022: 313-318 - [c5]Behnam Khaleghi, Jaeyoung Kang, Hanyang Xu, Justin Morris, Tajana Rosing:
GENERIC: highly efficient learning engine on edge using hyperdimensional computing. DAC 2022: 1117-1122 - [c4]Minxuan Zhou, Weihong Xu, Jaeyoung Kang, Tajana Rosing:
TransPIM: A Memory-based Acceleration via Software-Hardware Co-Design for Transformer. HPCA 2022: 1071-1085 - [c3]Jaeyoung Kang, Minxuan Zhou, Abhinav Bhansali, Weihong Xu, Anthony Thomas, Tajana Rosing:
RelHD: A Graph-based Learning on FeFET with Hyperdimensional Computing. ICCD 2022: 553-560 - [i1]Jaeyoung Kang, Weihong Xu, Wout Bittremieux, Tajana Rosing:
Massively Parallel Open Modification Spectral Library Searching with Hyperdimensional Computing. CoRR abs/2211.16422 (2022) - 2021
- [c2]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: 384-389 - [c1]Sahand Salamat, Jaeyoung Kang, Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing:
FPGA Acceleration of Protein Back-Translation and Alignment. DATE 2021: 822-827
2010 – 2019
- 2019
- [j1]Jaeyoung Kang, Illsoo Sohn, Sang Hyun Lee:
Enhanced Message-Passing Based LEACH Protocol for Wireless Sensor Networks. Sensors 19(1): 75 (2019)
Coauthor Index
aka: Tajana Simunic Rosing
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