Se Jung Kwon - researchr alias

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Viewing Publication 1 - 22 from 22

2025

LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling MatricesJung-Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee. naacl 2025: 7708-7743 [doi]

2024

Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language ModelsJung Hwan Heo, Jeonghoon Kim, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee. iclr 2024: [doi]

Label-Noise Robust Diffusion ModelsByeonghu Na, Yeongmin Kim, HeeSun Bae, Jung-Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon. iclr 2024: [doi]

LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language ModelsGunho Park, Baeseong Park, Minsub Kim, Sungjae Lee, Jeonghoon Kim, Beomseok Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee. iclr 2024: [doi]

DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward PropagationSunghyeon Woo, Baeseong Park, Byeongwook Kim, Minjung Jo, Se Jung Kwon, Dongsuk Jeon, Dongsoo Lee. nips 2024: [doi]

2023

Sparsity-Aware Memory Interface Architecture using Stacked XORNet Compression for Accelerating Pruned-DNN ModelsYounghoon Byun, Seungsik Moon, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Gunho Park, Eunji Yoo, Jung Gyu Min, Youngjoo Lee. mlsys 2023: [doi]

Refining Generative Process with Discriminator Guidance in Score-based Diffusion ModelsDongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon. icml 2023: 16567-16598 [doi]

Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer QuantizationJeonghoon Kim, Jung-Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee. nips 2023: [doi]

Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer ArithmeticYulhwa Kim, Jaeyong Jang, Jehun Lee, JiHoon Park, Jeonghoon Kim, Byeongwook Kim, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Jae-Joon Kim. iclr 2023: [doi]

FlexRound: Learnable Rounding based on Element-wise Division for Post-Training QuantizationJung-Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee. icml 2023: 18913-18939 [doi]

TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector PruningEunji Yoo, Gunho Park, Jung Gyu Min, Se Jung Kwon, Baeseong Park, Dongsoo Lee, Youngjoo Lee. dac 2023: 1-6 [doi]

2022

2020

Extremely Low Bit Transformer Quantization for On-Device Neural Machine TranslationInsoo Chung, Byeongwook Kim, Yoonjung Choi, Se Jung Kwon, Yongkweon Jeon, Baeseong Park, Sangha Kim 0002, Dongsoo Lee. emnlp 2020: 4812-4826 [doi]

BiQGEMM: matrix multiplication with lookup table for binary-coding-based quantized DNNsYongkweon Jeon, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Dongsoo Lee. sc 2020: 95 [doi]

Adaptive Discrete Event Simulation Systems to Embrace Changes of Requirements Using Event Control ModelsSe Jung Kwon, Bong Gu Kang, Changbeom Choi, Tag Gon Kim. tsmc, 50(3):1147-1160, 2020. [doi]

Structured Compression by Weight Encryption for Unstructured Pruning and QuantizationSe Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei. cvpr 2020: 1906-1915 [doi]

FleXOR: Trainable Fractional QuantizationDongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun. nips 2020: [doi]

2018

Simulation-Based Optimization on the System-of-Systems Model via Model Transformation and Genetic Algorithm: A Case Study of Network-Centric WarfareBong Gu Kang, Seon Han Choi, Se Jung Kwon, Jun-Hee Lee, Tag Gon Kim. complexity, 2018, 2018. [doi]

2013

Integrated hybrid systems modeling and simulation methodology based on HDEVS formalismSe Jung Kwon, Changho Sung, Hae Sang Song, Tag Gon Kim. SCSC 2013: 52 [doi]

2012

Design and implementation of event-based DEVS execution environment for faster execution of iterative simulationSe Jung Kwon, Tag Gon Kim. springsim 2012: 14 [doi]

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