Book
1. [Springer, Under Contract] ”Introduction to Emerging Hardware Designs for Advanced Machine Learning”
Bokyung Kim*†
Springer Nature
Journals
1. [TBioCAS’25] ”MulPi: A Multi-class and Patient-Independent Epileptic Seizure Classifier With Co-Designed Input-stationary Computing-in-SRAM”
Bokyung Kim*†, Qijia Huang, Brady Taylor, Qilin Zheng, Jonathan Ku, Yiran Chen, and Hai Li
IEEE Transactions on Biomedical Circuits and Systems, vol. 19, no. 4, pp. 756-766 (2025)
2. [TECS’25] “Efficient and Robust Edge AI: Software, Hardware, and the Co-design”
Bokyung Kim*, Shiyu Li, Brady Taylor, and Yiran Chen
ACM Transactions on Embedded Computing Systems, vol. 24, no. 3, pp. 1-34 (2025)
3. [IEEE NM’25] ”Emerging Computing Mechanisms for Edge AI: Memristor, Neuromorphic to In-Memory Computing”
Bokyung Kim*, Hai Li, and Yiran Chen
IEEE Nanotechnology Magazine, vol. 19, no. 2, pp. 25-37 (2025)
4. [Nature Electronics’23, Invited] ”Monolithic 3D Stacking for Neural Network Acceleration”
Bokyung Kim* and Hai Li
Nature Electronics, vol. 6, no. 12, pp. 937-938 (2023)
5. [TCAS-II’21, Invited Extension from ISCAS’21] ”An Efficient 3D ReRam Convolution Processor Design for Binarized Weight Networks”
Bokyung Kim*, Edward Hanson, and Hai Li
IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 68, no. 5, pp. 1600-1604 (2021)
6. [JNN’20] ”Effect of initial synaptic state on pattern classification accuracy of 3D vertical resistive random access memory (VRRAM) synapses”
Wookyung Sun, Sujin Choi, Bokyung Kim, and Hyungsoon Shin
Journal of Nanoscience and Nanotechnology, vol. 20, no. 8, pp. 4730-4734 (2020)
7. [JNN’20] ”Analysis of the memristor-based crossbar synapse for neuromorphic systems”
Bokyung Kim*, Sumin Jo, Wookyung Sun, and Hyungsoon Shin
Journal of Nanoscience and Nanotechnology, vol. 19, no. 10, pp. 6703-6709, (2019)
8. [Materials’19] ”Three-dimensional (3D) vertical resistive random-access memory (VRRAM) synapses for neural network systems”
Wookyung Sun, Sujin Choi, Bokyung Kim, and Junhee Park
Materials, vol. 12, no. 20, pp. 3451 (2019)
9. [Micromachines’19] ”Memristor neural network training with clock synchronous neuromorphic system”
Sumin Jo, Wookyung Sun, Bokyung Kim, Sunhee Kim, Junhee Park, and Hyungsoon Shin
Micromachines, vol. 10, no. 6, pp. 384 (2019)
International Conferences
1. [ISLPED’25: Best Paper Award] “DPIMA: A DRAM-Based Processing-in-Memory Accelerator for Privacy-Preserving ML”
Bokyung Kim*†
ACM/IEEE International Symposium on Low Power Electronics and Design, pp. 1-7 (2025)
2. [DATE’25] ”A DRAM-Based Processing-in-Memory Accelerator for Privacy-Protecting Machine Learning”
Bokyung Kim*†
IEEE Design, Automation & Test in Europe Conference, pp. 1-2, Extended Abstract (2025)
3. [BioCAS’24] ”MulPi: A multi-class and patient-independent computing-in-SRAM seizure classifier”
Bokyung Kim*, Qijia Huang, Brady Taylor, Qilin Zheng, Jonathan Ku, Nicky Ramos, Eric Yeats, Yiran Chen, and Hai Li
IEEE Biomedical Circuits and Systems Conference, pp. 1-5 (2024)
4. [GLSVLSI’24, Invited] ”Processing-in-memory designs based on emerging technology for efficient machine learning acceleration”
Bokyung Kim*, Hai Li, and Yiran Chen
ACM Great Lakes Symposium on VLSI, pp. 614-619 (2024)
5. [ICCAD’23, Invited] ”Towards the efficiency, heterogeneity, and robustness of edge AI”
Bokyung Kim*, Zhixu Du, Jingwei Sun, and Yiran Chen
IEEE/ACM International Conference on Computer Aided Design, pp. 1-7 (2023)
6. [HPCA’23] ”INCA: Input-stationary dataflow at outside-the-box thinking about deep learning accelerators”
Bokyung Kim*, Shiyu Li, and Hai Li
IEEE International Symposium on High-Performance Computer Architecture, pp. 29-41 (2023)
7. [ISCAS’22] ”Bionic robust memristor-based artificial nociception system for robotics”
Guangyu Feng, Bokyung Kim, and Hai Helen Li
IEEE International Symposium on Circuits and Systems, pp. 3552-3556 (2022)
8. [ISCAS’21] ”An Efficient 3D ReRam Convolution Processor Design for Binarized Weight Networks”
Bokyung Kim*, Edward Hanson, and Hai Li
IEEE International Symposium on Circuits and Systems (2021)
9. [ISVLSI’20] ”Leveraging 3d vertical RRAM to developing neuromorphic architecture for pattern classification”
Bokyung Kim* and Hai Li
IEEE Computer Society Annual Symposium on VLSI, pp. 258-263 (2020)