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ORCIDYoungjoo Lee
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Youngjoo Lee 0001
![[0000-0002-7290-8785]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-7290-8785")
— Yonsei University, Seoul, Korea - Youngjoo Lee 0002 — Korea Advanced Institute of Science and Technology, Daejeon, Korea
- Youngjoo Lee 0003 — LG Electronics, Yeongdeungpo-gu, Seoul, Korea
- Youngjoo Lee 0004 — Korea Basic Science Institute, Seoul, Kora
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2020 – today
- 2026
[c30]Hyungyo Jeong, Jiwoo Kim, Hyeokjun Kwon, Jaeho Lee, Youngjoo Lee:
IterQuant: Iterative Quantization Framework for Mixed-Precision LLM Compression. DATE 2026: 1-7- [c29]Jaehee Kim, Chanhee Lee, Jaewha Kim, Nam-Il Kim, Youngjoo Lee:
Low-Latency Software-Defined 5G NR PUSCH Receiver with Mixed-Precision SIMD Acceleration. ISCAS 2026: 1117-1121 - [c28]Gyuhyun Jung, Hyunhoon Lee, Youngjoo Lee:
Memory-Efficient Twiddle Factor Generator in Parallel NTT Accelerators for FHE Applications. ISCAS 2026: 2743-2747 - [c27]Cheng-Hsun Lu, Wei Tang, Jaehee Kim, Youngjoo Lee, Zhengya Zhang:
2.5 A 1.1mm2, 14.4ns, 13.1pJ/b Forward Error Correction with Ordered-Statistics Post Processing for Ultra-Reliable and Low-Latency Communications. ISSCC 2026: 50-52 - [c26]Sunwoo Yoo, Dongyun Kam, Gunho Park, Soonhyun Kwon, Dongsoo Lee, Youngjoo Lee:
31.7 LUT-SSM: A 99.3TFLOPS/W LUT-Based State-Space Model Accelerator Using Energy-Efficient Element-Wise Layer Fusion and LUT-Friendly Weight-Only Quantization. ISSCC 2026: 544-546 - 2025
- [c25]Seungwoo Hong, Jung Gyu Min, Jin Hyun, Jaehee Kim, Dongyun Kam, Eunji Yoo, Pilsu Kim, Jaehyung Yoo, Hyong-Euk Lee, Youngjoo Lee:
FPGA-Based Real-Time ISP Accelerator Using Low-Cost Line Buffers and Non-Linear Functions. APCCAS 2025: 1-5 - [c24]Junehyuk Oh, Soonhyun Kwon, Dongyun Kam, Youngjoo Lee:
On the Hardware Efficiency of Short-Length Polarization-Adjusted Convolutional Polar Decoders. APCCAS 2025: 1-5 - [c23]Hayun Oh, Youngjoo Lee:
A Quantitative Evaluation Method of Neural Rendering Accelerators. APCCAS 2025: 1-4 - [c22]Dongyun Kam, Myeongji Yun, Sunwoo Yoo, Seungwoo Hong, Zhengya Zhang, Youngjoo Lee:
Panacea: Novel DNN Accelerator using Accuracy-Preserving Asymmetric Quantization and Energy-Saving Bit-Slice Sparsity. HPCA 2025: 701-715 - [c21]Gunho Park, Hyeokjun Kwon, Jiwoo Kim, Jeongin Bae, Baeseong Park, Dongsoo Lee, Youngjoo Lee:
FIGLUT: An Energy-Efficient Accelerator Design for FP-INT GEMM Using Look-Up Tables. HPCA 2025: 1098-1111 - [c20]Yeji Lee, Eunbin Park, Youngjoo Lee:
AMC: Adaptive Mixed Compression for ML Models based on Block-Wise Sensitivity. ISCAS 2025: 1-5 - [c19]Myeongji Yun, Jung Gyu Min, Sein Oh, Jiwoung Choi, Jang-Sik Lee, Minkyu Je, Youngjoo Lee:
Cost-efficient Processing-in-Memory Architecture with Training-free and Universal Error Compensation. ISLPED 2025: 1-7 - [c18]Juhee Kim, Jinbum Park, Sihyeon Roh, Jaeyoung Chung, Youngjoo Lee, Taesoo Kim, Byoungyoung Lee:
Tiktag: Breaking ARM's Memory Tagging Extension with Speculative Execution. SP 2025: 4063-4081 - [i7]Jiwoo Kim, Joonhyung Lee, Gunho Park, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee, Youngjoo Lee:
An Investigation of FP8 Across Accelerators for LLM Inference. CoRR abs/2502.01070 (2025) - [i6]Gunho Park, Hyeokjun Kwon, Jiwoo Kim, Jeongin Bae, Baeseong Park, Dongsoo Lee, Youngjoo Lee:
FIGLUT: An Energy-Efficient Accelerator Design for FP-INT GEMM Using Look-Up Tables. CoRR abs/2503.06862 (2025) - 2024
- [c17]Gunho Park, Baeseong Park, Minsub Kim, Sungjae Lee, Jeonghoon Kim, Beomseok Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee:
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models. ICLR 2024 - [c16]Seungjun Kim, Jeongwon Choe, Youngjoo Lee:
On the Decoding Complexity of Error Correction Code Transformer. ICTC 2024: 749-750 - [c15]Jiwoo Kim, Gunho Park, Youngjoo Lee:
Low-Power Encoder and Compressor Design for Approximate Radix-8 Booth Multiplier. ISCAS 2024: 1-5 - [c14]Eunbin Park, Myungjun Jin, Youngjoo Lee:
Cost-Efficient SIMD ASIP Architecture for Mobile Touchscreen Controllers. ISCAS 2024: 1-5 - [c13]Jeongwon Choe, Youngjoo Lee:
Cost-Efficient Partially-Parallel LDPC Decoder Architecture for 50G-PON Standard. ISOCC 2024: 318-319 - [c12]Hyunhoon Lee, Hyeokjun Kwon, Youngjoo Lee:
16.1 A 2.7-to-13.3μJ/boot/slot Flexible RNS-CKKS Processor in 28nm CMOS Technology for FHE-Based Privacy-Preserving Computing. ISSCC 2024: 296-298 - [i5]Juhee Kim, Jinbum Park, Sihyeon Roh, Jaeyoung Chung, Youngjoo Lee, Taesoo Kim, Byoungyoung Lee:
TikTag: Breaking ARM's Memory Tagging Extension with Speculative Execution. CoRR abs/2406.08719 (2024) - [i4]Dongyun Kam, Myeongji Yun, Sunwoo Yoo, Seungwoo Hong, Zhengya Zhang, Youngjoo Lee:
Panacea: Novel DNN Accelerator using Accuracy-Preserving Asymmetric Quantization and Energy-Saving Bit-Slice Sparsity. CoRR abs/2412.10059 (2024) - 2023
- [c11]Eunji Yoo, Gunho Park, Jung Gyu Min, Se Jung Kwon, Baeseong Park, Dongsoo Lee, Youngjoo Lee:
TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning. DAC 2023: 1-6 - [c10]Ranggi Hwang, Minhoo Kang, Jiwon Lee, Dongyun Kam, Youngjoo Lee, Minsoo Rhu:
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks. HPCA 2023: 42-55 - [c9]Jeongwon Choe, Youngjoo Lee:
A 2.35 Gb/s/mm2 (7440, 6696) NB-LDPC Decoder over GF(32) using Memory-Reduced Column-Wise Trellis Min-Max Algorithm in 28nm CMOS Technology. VLSI Technology and Circuits 2023: 1-2 - [i3]Gia Minh Hoang, Youngjoo Lee, Jae Gwan Kim:
A reproducible 3D convolutional neural network with dual attention module (3D-DAM) for Alzheimer's disease classification. CoRR abs/2310.12574 (2023) - 2022
- [c8]Myeongji Yun, Seungwoo Hong, Sunwoo Yoo, Junho Kim, Sung-Min Park, Youngjoo Lee:
Lightweight End-to-End Stress Recognition using Binarized CNN-LSTM Models. AICAS 2022: 270-273 - [c7]Dongyoung Rim, Hyeokjun Kwon, Youngjoo Lee:
Algorithm-Hardware Co-Optimization for Cost-Efficient ML-based ISP Accelerator. ISCAS 2022: 3102-3106 - [c6]Gyuhyun Jung, Hyeokjun Kwon, Hyunhoon Lee, Youngjoo Lee:
Fast Estimation of NTT/INTT Accelerator Costs for RNS-Based Homomorphic Encryption. ISOCC 2022: 392-393 - [i2]Minhoo Kang, Ranggi Hwang, Jiwon Lee, Dongyun Kam, Youngjoo Lee, Minsoo Rhu:
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks. CoRR abs/2203.00158 (2022) - [i1]Gunho Park, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee:
nuQmm: Quantized MatMul for Efficient Inference of Large-Scale Generative Language Models. CoRR abs/2206.09557 (2022) - 2021
- [c5]Jeongwon Choe, Youngjoo Lee:
A 7Gbps (160, 80) Non-Binary LDPC Decoder with Dual-Message EMS Algorithm in 22nm FinFET Technology. A-SSCC 2021: 1-3 - [c4]Changhyeon Kim, Dongyoung Rim, Jeongwon Choe, Dongyun Kam, Giyoon Park, Seokki Kim, Youngjoo Lee:
FPGA-Based Ordered Statistic Decoding Architecture for B5G/6G URLLC IIOT Networks. A-SSCC 2021: 1-3 - [c3]Sunwoo Yoo, Seungwoo Hong, Youngjoo Lee:
Low-Complexity On-Device ECG Classifier using Binarized Neural Network. ISOCC 2021: 393-394 - 2020
- [j4]Sijun Ryu, Youngjoo Lee, TaeWon Seo:
Shape-Morphing Wheel Design and Analysis for Step Climbing in High Speed Locomotion. IEEE Robotics Autom. Lett. 5(2): 1977-1982 (2020)
2010 – 2019
- 2018
- [j3]Youngjoo Lee, WonSeok Yang, Taekyoung Kwon:
Data Transfusion: Pairing Wearable Devices and Its Implication on Security for Internet of Things. IEEE Access 6: 48994-49006 (2018) - 2017
- [c2]Youngjoo Lee, WonSeok Yang, Taekyoung Kwon:
POSTER: Watch Out Your Smart Watch When Paired. CCS 2017: 2527-2529 - 2016
- [c1]Haiping Zhu, Hongming Shan, Youngjoo Lee, Yiwei He, Qi Zhou, Junping Zhang:
Group Information-Based Dimensionality Reduction via Canonical Correlation Analysis. ICONIP (2) 2016: 297-305 - 2015
- [j2]Youngjoo Lee, Jeongjin Lee:
Binary tree optimization using genetic algorithm for multiclass support vector machine. Expert Syst. Appl. 42(8): 3843-3851 (2015) - 2013
- [j1]Seung Kim, Nam Wook Cho, Youngjoo Lee, Suk-Ho Kang, Taewan Kim, Hyeseon Hwang, Dongseop Mun:
Application of density-based outlier detection to database activity monitoring. Inf. Syst. Frontiers 15(1): 55-65 (2013)
Coauthor Index
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