Se Jung Kwon
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
9
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models. | Seungcheol Park, Jeongin Bae, Beomseok Kwon, Minjun Kim, Byeongwook Kim, Se Jung Kwon, U Kang, Dongsoo Lee |
| 2025 | ISCA | Debunking the CUDA Myth Towards GPU-based AI Systems: Evaluation of the Performance and Programmability of Intel's Gaudi NPU for AI Model Serving. | Yunjae Lee, Juntaek Lim, Jehyeon Bang, Eunyeong Cho, Huijong Jeong, Taesu Kim, Hyungjun Kim, Joonhyung Lee, Jinseop Im, Ranggi Hwang, Se Jung Kwon, Dongsoo Lee, Minsoo Rhu |
| 2025 | NAACL | LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. | Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee |
| 2024 | ICLR | Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models. | Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee |
| 2024 | ICLR | Label-Noise Robust Diffusion Models. | Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon |
| 2024 | ICLR | LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models. | Gunho Park, Baeseong Park, Minsub Kim, Sungjae Lee, Jeonghoon Kim, Beomseok Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee |
| 2023 | DAC | TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning. | Eunji Yoo, Gunho Park, Jung Gyu Min, Se Jung Kwon, Baeseong Park, Dongsoo Lee, Youngjoo Lee |
| 2023 | ICLR | Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic. | Yulhwa Kim, Jaeyong Jang, Jehun Lee, Jihoon Park, Jeonghoon Kim, Byeongwook Kim, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Jae-Joon Kim |
| 2023 | ICML | Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models. | Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon |
| 2023 | ICML | FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization. | Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee |
| 2022 | EMNLP | AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. | Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee |
| 2022 | ICLR | Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression. | Baeseong Park, Se Jung Kwon, Daehwan Oh, Byeongwook Kim, Dongsoo Lee |
| 2020 | CVPR | Structured Compression by Weight Encryption for Unstructured Pruning and Quantization. | Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei |
| 2020 | EMNLP | Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation. | Insoo Chung, Byeongwook Kim, Yoonjung Choi, Se Jung Kwon, Yongkweon Jeon, Baeseong Park, Sangha Kim, Dongsoo Lee |
| 2020 | SC | BiQGEMM: matrix multiplication with lookup table for binary-coding-based quantized DNNs. | Yongkweon Jeon, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Dongsoo Lee |