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2020 – today
- 2024
[c34]Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee:
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models. ICLR 2024- [c33]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 - [c32]Hansik Oh
, Seungwon Park, Jooseok Lee, Seungjae Baek, Joonho Jung, Taewan Kim, Jinhyun Kim, Woojae Lee, Jae-Hong Park, Kihyun Kim, Dong-Hyun Lee, Sangho Lee, Jeong Ho Lee, Ji Hoon Kim, Younghwan Kim, Sangyong Park, Bohee Suh, Soyoung Oh, Dongsoo Lee, Sehyug Jeon, Juho Son, Sung-Gi Yang:
32.2 A 24.25-to-29.5GHz Extremely Compact Doherty Power Amplifier with Differential-Breaking Phase Offset Achieving 23.7% PAEavg for 5G Base-Station Transceivers. ISSCC 2024: 522-524 - [i25]Sunghyeon Woo, Baeseong Park, Byeongwook Kim, Minjung Jo, Sejung Kwon, Dongsuk Jeon, Dongsoo Lee:
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation. CoRR abs/2402.17812 (2024) - [i24]June Yong Yang, Byeongwook Kim, Jeongin Bae, Beomseok Kwon, Gunho Park, Eunho Yang, Se Jung Kwon, Dongsoo Lee:
No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization. CoRR abs/2402.18096 (2024) - [i23]Kang Min Yoo, Jaegeun Han, Sookyo In, Heewon Jeon, Jisu Jeong, Jaewook Kang, Hyunwook Kim, Kyung-Min Kim, Munhyong Kim, Sungju Kim, Donghyun Kwak, Hanock Kwak, Se Jung Kwon, Bado Lee, Dongsoo Lee, Gichang Lee, Jooho Lee, Baeseong Park, Seongjin Shin, Joonsang Yu, Seolki Baek, Sumin Byeon, Eungsup Cho, Dooseok Choe, Jeeseung Han, Youngkyun Jin, Hyein Jun, Jaeseung Jung, Chanwoong Kim, Jinhong Kim, Jinuk Kim, Dokyeong Lee, Dong Wook Park, Jeong Min Sohn, Sujung Han, Jiae Heo, Sungju Hong, Mina Jeon, Hyunhoon Jung, Jungeun Jung, Wangkyo Jung, Chungjoon Kim, Hyeri Kim, Jonghyun Kim, Min Young Kim, Soeun Lee, Joonhee Park, Jieun Shin, Sojin Yang, Jungsoon Yoon, Hwaran Lee, Sanghwan Bae, Jeehwan Cha, Karl Gylleus, Donghoon Ham, Mihak Hong, Youngki Hong, Yunki Hong, Dahyun Jang, Hyojun Jeon, Yujin Jeon, Yeji Jeong, Myunggeun Ji, Yeguk Jin, Chansong Jo, Shinyoung Joo, Seunghwan Jung, Adrian Jungmyung Kim, Byoung Hoon Kim, Hyomin Kim, Jungwhan Kim, Minkyoung Kim, Minseung Kim, Sungdong Kim, Yonghee Kim, Youngjun Kim, Youngkwan Kim, Donghyeon Ko, Dughyun Lee, Hayoung Lee, Jaehong Lee, Jieun Lee, Jonghyun Lee, Jongjin Lee, Min Young Lee, Yehbin Lee, Taehong Min, Yuri Min, Kiyoon Moon, Hyangnam Oh, Jaesun Park, Kyuyon Park, Younghun Park, Hanbae Seo, Seunghyun Seo, Mihyun Sim, Gyubin Son, Matt Yeo, Kyung Hoon Yeom, Wonjoon Yoo:
HyperCLOVA X Technical Report. CoRR abs/2404.01954 (2024) - [i22]Joonhyung Lee, Jeongin Bae, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee:
To FP8 and Back Again: Quantifying the Effects of Reducing Precision on LLM Training Stability. CoRR abs/2405.18710 (2024) - [i21]Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee:
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. CoRR abs/2407.11534 (2024) - 2023
- [j7]Jun Young Park, Jang Jae Lee, Younghwa Lee, Dongsoo Lee, Jungsoo Gim, Lindsay A. Farrer, Kun Ho Lee, Sungho Won:
Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies. Bioinform. 39(9) (2023) - [j6]Taesu Kim, Daehyun Ahn, Dongsoo Lee, Jae-Joon Kim:
V-LSTM: An Efficient LSTM Accelerator Using Fixed Nonzero-Ratio Viterbi-Based Pruning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(10): 3327-3337 (2023) - [c31]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 - [c30]Yulhwa Kim, Jaeyong Jang, Jehun Lee, Jihoon Park, Jeonghoon Kim, Byeongwook Kim, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Jae-Joon Kim:
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic. ICLR 2023 - [c29]Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee:
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization. ICML 2023: 18913-18939 - [c28]Younghoon Byun, Seungsik Moon, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Gunho Park, Eunji Yoo, Jung Gyu Min, Youngjoo Lee:
Sparsity-Aware Memory Interface Architecture using Stacked XORNet Compression for Accelerating Pruned-DNN Models. MLSys 2023 - [c27]Xuehao Ding, Dongsoo Lee, Joshua Melander, George Sivulka, Surya Ganguli, Stephen Baccus:
Information Geometry of the Retinal Representation Manifold. NeurIPS 2023 - [c26]Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee:
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization. NeurIPS 2023 - [i20]Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee:
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization. CoRR abs/2305.14152 (2023) - [i19]Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee:
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization. CoRR abs/2306.00317 (2023) - [i18]Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee:
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models. CoRR abs/2309.15531 (2023) - [i17]Jong-Yeon Park, Dongsoo Lee, Seonggyeom Kim, Wonil Lee, Bo-Gyeong Kang, Kouichi Sakurai:
Fully Parallel, One-Cycle Random Shuffling for Efficient Countermeasure in Post-Quantum Cryptography. IACR Cryptol. ePrint Arch. 2023: 1889 (2023) - 2022
- [c25]Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee:
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. EMNLP (Findings) 2022: 3288-3305 - [c24]Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim:
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation. HCS 2022: 1-17 - [c23]Baeseong Park, Se Jung Kwon, Daehwan Oh, Byeongwook Kim, Dongsoo Lee:
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression. ICLR 2022 - [c22]Wooseok Jung, Chong Hyun Suh, Woo-Hyun Shim, Jinyoung Kim, Dongsoo Lee, Changhyun Park, Seo Taek Kong, Kyu-Hwan Jung, Hwon Heo, Sang Joon Kim:
Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation. MLCN@MICCAI 2022: 23-31 - [c21]Dongsoo Lee, Chong Hyun Suh, Jinyoung Kim, Wooseok Jung, Changhyun Park, Kyu-Hwan Jung, Seo Taek Kong, Woo-Hyun Shim, Hwon Heo, Sang Joon Kim:
Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction. MLCN@MICCAI 2022: 125-134 - [c20]Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim:
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation. MICRO 2022: 616-630 - [c19]Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon:
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model. NeurIPS 2022 - [i16]Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon:
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models. CoRR abs/2205.13699 (2022) - [i15]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) - [i14]Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim:
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation. CoRR abs/2209.10797 (2022) - [i13]Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee:
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. CoRR abs/2210.03858 (2022) - 2021
- [c18]Xuehao Ding, Dongsoo Lee, Satchel Grant, Heike Stein, Lane McIntosh, Niru Maheswaranathan, Stephen Baccus:
A mechanistically interpretable model of the retinal neural code for natural scenes with multiscale adaptive dynamics. ACSCC 2021: 287-291 - [i12]Byeongwook Kim, Dongsoo Lee, Yeonju Ro, Yongkweon Jeon, Se Jung Kwon, Baeseong Park, Daehwan Oh:
Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization. CoRR abs/2105.01868 (2021) - [i11]Baeseong Park, Se Jung Kwon, Dongsoo Lee, Daehwan Oh, Byeongwook Kim, Yongkweon Jeon, Yeonju Ro:
Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity. CoRR abs/2105.01869 (2021) - [i10]Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Baeseong Park, Yongkweon Jeon:
Modulating Regularization Frequency for Efficient Compression-Aware Model Training. CoRR abs/2105.01875 (2021) - 2020
- [c17]Chanwoo Kim, Dhananjaya Gowda, Dongsoo Lee, Jiyeon Kim, Ankur Kumar, Sungsoo Kim, Abhinav Garg, Changwoo Han:
A Review of On-Device Fully Neural End-to-End Automatic Speech Recognition Algorithms. ACSSC 2020: 277-283 - [c16]Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei:
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization. CVPR 2020: 1906-1915 - [c15]Insoo Chung, Byeongwook Kim, Yoonjung Choi, Se Jung Kwon, Yongkweon Jeon, Baeseong Park, Sangha Kim, Dongsoo Lee:
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation. EMNLP (Findings) 2020: 4812-4826 - [c14]Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun:
FleXOR: Trainable Fractional Quantization. NeurIPS 2020 - [c13]Yongkweon Jeon, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Dongsoo Lee:
BiQGEMM: matrix multiplication with lookup table for binary-coding-based quantized DNNs. SC 2020: 95 - [i9]Yongkweon Jeon, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Dongsoo Lee:
BiQGEMM: Matrix Multiplication with Lookup Table For Binary-Coding-based Quantized DNNs. CoRR abs/2005.09904 (2020) - [i8]Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun:
FleXOR: Trainable Fractional Quantization. CoRR abs/2009.04126 (2020) - [i7]Insoo Chung, Byeongwook Kim, Yoonjung Choi, Se Jung Kwon, Yongkweon Jeon, Baeseong Park, Sangha Kim, Dongsoo Lee:
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation. CoRR abs/2009.07453 (2020) - [i6]Chanwoo Kim, Dhananjaya Gowda, Dongsoo Lee, Jiyeon Kim, Ankur Kumar, Sungsoo Kim, Abhinav Garg, Changwoo Han:
A review of on-device fully neural end-to-end automatic speech recognition algorithms. CoRR abs/2012.07974 (2020)
2010 – 2019
- 2019
- [c12]Daehyun Ahn, Dongsoo Lee, Taesu Kim, Jae-Joon Kim:
Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network. ICLR (Poster) 2019 - [i5]Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Parichay Kapoor, Gu-Yeon Wei:
Network Pruning for Low-Rank Binary Indexing. CoRR abs/1905.05686 (2019) - [i4]Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei:
Structured Compression by Unstructured Pruning for Sparse Quantized Neural Networks. CoRR abs/1905.10138 (2019) - [i3]Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Gu-Yeon Wei:
Learning Low-Rank Approximation for CNNs. CoRR abs/1905.10145 (2019) - 2018
- [c11]Dongsoo Lee, Daehyun Ahn, Taesu Kim, Pierce I-Jen Chuang, Jae-Joon Kim:
Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio. ICLR (Poster) 2018 - [c10]Vijayalakshmi Srinivasan, Bruce M. Fleischer, Sunil Shukla, Matthew M. Ziegler, Joel Silberman, Jinwook Oh, Jungwook Choi, Silvia M. Mueller, Ankur Agrawal, Tina Babinsky, Nianzheng Cao, Chia-Yu Chen, Pierce Chuang, Thomas W. Fox, George Gristede, Michael Guillorn, Howard Haynie, Michael J. Klaiber, Dongsoo Lee, Shih-Hsien Lo, Gary W. Maier, Michael Scheuermann, Swagath Venkataramani, Christos Vezyrtzis, Naigang Wang, Fanchieh Yee, Ching Zhou, Pong-Fei Lu, Brian W. Curran, Leland Chang, Kailash Gopalakrishnan:
Across the Stack Opportunities for Deep Learning Acceleration. ISLPED 2018: 35:1-35:2 - [c9]Bruce M. Fleischer, Sunil Shukla, Matthew M. Ziegler, Joel Silberman, Jinwook Oh, Vijayalakshmi Srinivasan, Jungwook Choi, Silvia M. Mueller, Ankur Agrawal, Tina Babinsky, Nianzheng Cao, Chia-Yu Chen, Pierce Chuang, Thomas W. Fox, George Gristede, Michael Guillorn, Howard Haynie, Michael J. Klaiber, Dongsoo Lee, Shih-Hsien Lo, Gary W. Maier, Michael Scheuermann, Swagath Venkataramani, Christos Vezyrtzis, Naigang Wang, Fanchieh Yee, Ching Zhou, Pong-Fei Lu, Brian W. Curran, Leland Chang, Kailash Gopalakrishnan:
A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference. VLSI Circuits 2018: 35-36 - [i2]Dongsoo Lee, Byeongwook Kim:
Retraining-Based Iterative Weight Quantization for Deep Neural Networks. CoRR abs/1805.11233 (2018) - [i1]Dongsoo Lee, Parichay Kapoor, Byeongwook Kim:
DeepTwist: Learning Model Compression via Occasional Weight Distortion. CoRR abs/1810.12823 (2018) - 2017
- [c8]Kee Sung Kim, Minkyu Kim, Dongsoo Lee, Je Hong Park, Woo-Hwan Kim:
Forward Secure Dynamic Searchable Symmetric Encryption with Efficient Updates. CCS 2017: 1449-1463 - [c7]Kee Sung Kim, Minkyu Kim, Dongsoo Lee, Je Hong Park, Woo-Hwan Kim:
Security of Stateful Order-Preserving Encryption. ICISC 2017: 39-56 - 2016
- [j5]Xuanyao Fong, Rangharajan Venkatesan, Dongsoo Lee, Anand Raghunathan, Kaushik Roy:
Embedding Read-Only Memory in Spin-Transfer Torque MRAM-Based On-Chip Caches. IEEE Trans. Very Large Scale Integr. Syst. 24(3): 992-1002 (2016) - [c6]Hark Yoo, Dongsoo Lee, Man-Soo Han:
Optimal wavelength provisioning with fuzzy logic control for power saving in TWDM-PONs. ICTC 2016: 926-929 - 2014
- [c5]Jinwook Jung, Dongsoo Lee, Youngsoo Shin:
Design and Optimization of Multiple-Mesh Clock Network. VLSI-SoC (Selected Papers) 2014: 39-57 - 2013
- [j4]Youngsuk Lee, Dongsoo Lee, Hark Yoo, Youngsun Kim, Younghan Kim:
Fast management of ONUs based on broadcast control channel for a 10-gigabit-capable passive optical network (XG-PON) system. J. Commun. Networks 15(5): 538-542 (2013) - [j3]Dongsoo Lee, Kaushik Roy:
Area Efficient ROM-Embedded SRAM Cache. IEEE Trans. Very Large Scale Integr. Syst. 21(9): 1583-1595 (2013) - 2012
- [j2]Dongsoo Lee, Kaushik Roy:
Viterbi-Based Efficient Test Data Compression. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 31(4): 610-619 (2012) - [j1]Sang Phill Park, Dongsoo Lee, Kaushik Roy:
Soft-Error-Resilient FPGAs Using Built-In 2-D Hamming Product Code. IEEE Trans. Very Large Scale Integr. Syst. 20(2): 248-256 (2012) - [c4]Dongsoo Lee, Sumeet Kumar Gupta, Kaushik Roy:
High-performance low-energy STT MRAM based on balanced write scheme. ISLPED 2012: 9-14 - 2011
- [c3]Dongsoo Lee, Kaushik Roy:
Viterbi-Based Efficient Test Data Compression. ETS 2011: 204 - [c2]Sang Phill Park, Soo Youn Kim, Dongsoo Lee, Jae-Joon Kim, W. Paul Griffin, Kaushik Roy:
Column-selection-enabled 8T SRAM array with ~1R/1W multi-port operation for DVFS-enabled processors. ISLPED 2011: 303-308 - [c1]Dongsoo Lee, Sang Phill Park, Ashish Goel, Kaushik Roy:
Memory-based embedded digital ATE. VTS 2011: 266-271
Coauthor Index
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