Bokyung Kim

Orcid: 0000-0001-5578-5237

Affiliations:
  • Rutgers University, State University of New Jersey, Department of Electrical and Computer Engineering, Piscataway, NJ, USA
  • Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA (PhD 2024)


According to our database1, Bokyung Kim authored at least 13 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DPIMA: A Differentially Private Processing-in-DRAM Accelerator.
IEEE Trans. Very Large Scale Integr. Syst., April, 2026

2025
MulPi: A Multi-class and Patient-Independent Epileptic Seizure Classifier With Co-Designed Input-stationary Computing-in-SRAM.
IEEE Trans. Biomed. Circuits Syst., August, 2025

Efficient and Robust Edge AI: Software, Hardware, and the Co-design.
ACM Trans. Embed. Comput. Syst., May, 2025

DPIMA: A DRAM-Based Processing-in-Memory Accelerator for Privacy-Preserving Machine Learning.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2025

A DRAM-Based Processing-in-Memory Accelerator for Privacy-Protecting Machine Learning.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024
Processing-in-Memory Accelerators Toward Efficient Real-World Machine Learning.
Proceedings of the 13th Non-Volatile Memory Systems and Applications Symposium, 2024

Processing-in-Memory Designs Based on Emerging Technology for Efficient Machine Learning Acceleration.
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

MulPi: A Multi-Class and Patient-Independent Computing-in-SRAM Seizure Classifier.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

2023
Invited Paper: Towards the Efficiency, Heterogeneity, and Robustness of Edge AI.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

INCA: Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

2022
Bionic Robust Memristor-Based Artificial Nociception System for Robotics.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021
An Efficient 3D ReRAM Convolution Processor Design for Binarized Weight Networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

2020
Leveraging 3D Vertical RRAM to Developing Neuromorphic Architecture for Pattern Classification.
Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI, 2020


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