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ORCIDBokyung Kim 0001
Person information
- affiliation: Rutgers University, State University of New Jersey, Department of Electrical and Computer Engineering, Piscataway, NJ, USA
- affiliation (PhD 2024): Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA
Other persons with the same name
- Bokyung Kim
- Bokyung Kim 0002
![[0000-0001-9699-2136]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0001-9699-2136")
— University of Missouri, Missouri School of Journalism, Columbia, MO, USA - Bokyung Kim 0003 (aka: Bo-Kyung Kim 0003) — Wayne State University, Computer Science Department, Detroit, MI, USA
- Bokyung Kim 0004 — Hanyang University, Department of Business Administration, Seoul, Korea
- Bokyung Kim 0005 — Johns Hopkins University, Baltimore, MD, USA
- Bokyung Kim 0006 — Stanford University, CA, USA
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2020 – today
- 2026
[j4]Bokyung Kim:
DPIMA: A Differentially Private Processing-in-DRAM Accelerator. IEEE Trans. Very Large Scale Integr. Syst. 34(4): 1134-1143 (2026)- 2025
- [j3]Bokyung Kim, Qijia Huang, Brady Taylor, Qilin Zheng, Jonathan Ku, Yiran Chen, Hai Li:
MulPi: A Multi-class and Patient-Independent Epileptic Seizure Classifier With Co-Designed Input-stationary Computing-in-SRAM. IEEE Trans. Biomed. Circuits Syst. 19(4): 756-766 (2025) - [j2]Bokyung Kim, Shiyu Li, Brady Taylor, Yiran Chen:
Efficient and Robust Edge AI: Software, Hardware, and the Co-design. ACM Trans. Embed. Comput. Syst. 24(3): 43:1-43:34 (2025) - [c9]Bokyung Kim:
A DRAM-Based Processing-in-Memory Accelerator for Privacy-Protecting Machine Learning. DATE 2025: 1-2 - [c8]Bokyung Kim:
DPIMA: A DRAM-Based Processing-in-Memory Accelerator for Privacy-Preserving Machine Learning. ISLPED 2025: 1-7 - 2024
- [c7]Bokyung Kim, Qijia Huang, Brady Taylor, Qilin Zheng, Jonathan Ku, Nicky Ramos, Eric C. Yeats, Yiran Chen, Hai Helen Li:
MulPi: A Multi-Class and Patient-Independent Computing-in-SRAM Seizure Classifier. BioCAS 2024: 1-5 - [c6]Bokyung Kim, Hai Li, Yiran Chen:
Processing-in-Memory Designs Based on Emerging Technology for Efficient Machine Learning Acceleration. ACM Great Lakes Symposium on VLSI 2024: 614-619 - [c5]Bokyung Kim:
Processing-in-Memory Accelerators Toward Efficient Real-World Machine Learning. NVMSA 2024: 1-2 - 2023
- [c4]Bokyung Kim, Shiyu Li, Hai Li:
INCA: Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators. HPCA 2023: 29-41 - [c3]Bokyung Kim, Zhixu Du, Jingwei Sun, Yiran Chen:
Invited Paper: Towards the Efficiency, Heterogeneity, and Robustness of Edge AI. ICCAD 2023: 1-7 - 2022
- [c2]Guangyu Feng, Bokyung Kim, Hai Helen Li:
Bionic Robust Memristor-Based Artificial Nociception System for Robotics. ISCAS 2022: 3552-3556 - 2021
- [j1]Bokyung Kim, Edward Hanson, Hai Li:
An Efficient 3D ReRAM Convolution Processor Design for Binarized Weight Networks. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1600-1604 (2021) - 2020
- [c1]Bokyung Kim, Hai Li:
Leveraging 3D Vertical RRAM to Developing Neuromorphic Architecture for Pattern Classification. ISVLSI 2020: 258-263
Coauthor Index
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