Yulhwa Kim

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Research activity per year

Education

(Ph.D.) Pohang University of Science and Technology (POSTECH), 2022
(B.S.) Pohang University of Science and Technology (POSTECH), 2016

Professional Experience

Postdoctoral Researcher, Seoul National University (2022-2024)
Research Intern, Qualcomm (2020)
Research Intern, IBM T.J. Watson Research Center (2019)

Awards

Samsung Humantech Paper Award - Gold Prize (2019)

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16 Conference contribution
6 Article
2 Conference article
1 Paper

Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators
Kim, J., Jeon, K. E., Kim, Y. & Ko, J. H., 2025, 2025 Design, Automation and Test in Europe Conference, DATE 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings -Design, Automation and Test in Europe, DATE).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Link opens in a new tab Scopus citations
Compute-in-Memory Array Design Using Stacked Hybrid IGZO/Si eDRAM cells
Kim, M., Kim, Y. & Kim, J. J., 2025, 2025 Design, Automation and Test in Europe Conference, DATE 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings -Design, Automation and Test in Europe, DATE).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
Jeon, H., Kim, Y. & Kim, J. J., 2025, Long Papers. Che, W., Nabende, J., Shutova, E. & Pilehvar, M. T. (eds.). Association for Computational Linguistics (ACL), p. 2002-2024 23 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
4 Link opens in a new tab Scopus citations
FIGNA: Integer Unit-Based Accelerator Design for FP-INT GEMM Preserving Numerical Accuracy
Jang, J., Kim, Y., Lee, J. & Kim, J. J., 2024, Proceedings - 2024 IEEE International Symposium on High-Performance Computer Architecture, HPCA 2024. IEEE Computer Society, p. 760-773 14 p. (Proceedings - International Symposium on High-Performance Computer Architecture).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
31 Link opens in a new tab Scopus citations
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models
Jo, D., Kim, T., Kim, Y. & Kim, J. J., 2024, In: Advances in Neural Information Processing Systems. 37
Research output: Contribution to journal › Conference article › peer-review
3 Link opens in a new tab Scopus citations

Yulhwa Kim

Personal profile

Education

Professional Experience

Awards

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators

Compute-in-Memory Array Design Using Stacked Hybrid IGZO/Si eDRAM cells

L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models

FIGNA: Integer Unit-Based Accelerator Design for FP-INT GEMM Preserving Numerical Accuracy

Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models

Yulhwa Kim

Personal profile

Education

Professional Experience

Awards

Fingerprint

Collaborations and top research areas from the last five years

Research output

Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators

Compute-in-Memory Array Design Using Stacked Hybrid IGZO/Si eDRAM cells

L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models

FIGNA: Integer Unit-Based Accelerator Design for FP-INT GEMM Preserving Numerical Accuracy

Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models