Scholar
Jaeha Kung
Google Scholar ID: dQvmSAoAAAAJ
Associate Professor, Korea University
Accelerator Design
Approximate Computing
ML Architecture
VLSI
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Citations & Impact
All-time
Citations
1,491
H-index
19
i10-index
29
Publications
20
Co-authors
19
list available
Publications
6 items
MX-SAFE: Versatile Inference- and Training-Proof Microscaling Format with On-the-Fly Exponent and Mantissa Bit Allocation
2026
Cited
0
Dissecting and Re-architecting 3D NAND Flash PIM Arrays for Efficient Single-Batch Token Generation in LLMs
2025
Cited
0
FlashVault: Versatile In-NAND Self-Encryption with Zero Area Overhead
2025
Cited
0
Jack Unit: An Area- and Energy-Efficient Multiply-Accumulate (MAC) Unit Supporting Diverse Data Formats
2025
Cited
0
FlexNeRFer: A Multi-Dataflow, Adaptive Sparsity-Aware Accelerator for On-Device NeRF Rendering
2025
Cited
0
All-Rounder: A Flexible AI Accelerator With Diverse Data Format Support and Morphable Structure for Multi-DNN Processing
IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 2023
Cited
0
Co-authors
8 total
Saibal Mukhopadhyay
Professor of Electrical Engineering, Georgia Institute of Technology
Youngjoo Lee
Associate Professor, Korea Advanced Institute of Science and Technology (KAIST)
Jong Hwan Ko
SungKyunKwan Univ. (SKKU)
Jae-Joon Kim
Professor, Department of Electrical and Computer Engineering, Seoul National University
Yun Long
Google
Sungjin Lee
POSTECH (Pohang University of Science and Technology)
Sachin Sapatnekar
University of Minnesota
Daehyun Ahn
Squeezebits Inc.
