Seongmin Hong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
10
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ISCA | Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization. | Minsu Kim, Seongmin Hong, Ryeowook Ko, Soongyu Choi, Hunjong Lee, Junsoo Kim, Joo-Young Kim, Jongse Park |
| 2025 | ISPASS | ADOR: A Design Exploration Framework for LLM Serving with Enhanced Latency and Throughput. | Junsoo Kim, Hunjong Lee, Geonwoo Ko, Gyubin Choi, Seri Ham, Seongmin Hong, Joo-Young Kim |
| 2024 | CVPR | On Exact Inversion of DPM-Solvers. | Seongmin Hong, Kyeonghyun Lee, Suh Yoon Jeon, Hyewon Bae, Se Young Chun |
| 2024 | ECCV | Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results. | Marcos V. Conde, Florin-Alexandru Vasluianu, Jinhui Xiong, Wei Ye, Rakesh Ranjan, Radu Timofte, Huan Zheng, Wencheng Han, Tianyi Yan, Jianbing Shen, Pihai Sun, Yuanqi Yao, Kui Jiang, Wenbo Zhao, Xianming Liu, Evgeny Burnaev, Junjun Jiang, Woojae Han, Kyeonghyun Lee, Seongmin Hong, Se Young Chun, Jinseong Kim, Dohyeong Kim, Jeahwan Kim, Yubo Wang, Chi Zhang, Huizhen Luo, Yansai Wu, Mengcheng Huang, Chengji Liu, Chongli Yve, Jianhang Sun, Cheng Guo, Yingcai Du, Huang Jianhao, Liu Shuai, Li Chenghua |
| 2024 | ECCV | Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing. | Seongmin Hong, Jaehyeok Bae, Jongho Lee, Se Young Chun |
| 2023 | AAAI | Neural Diffeomorphic Non-uniform B-spline Flows. | Seongmin Hong, Se Young Chun |
| 2023 | ICCV | On the Robustness of Normalizing Flows for Inverse Problems in Imaging. | Seongmin Hong, Inbum Park, Se Young Chun |
| 2022 | ECCV | Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. | Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun |
| 2022 | ECCV | Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report. | Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He |
| 2022 | MICRO | DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation. | Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim |
| 2021 | DAC | FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism. | Je Yang, Seongmin Hong, Joo-Young Kim |
| 2018 | DATE | NN compactor: Minimizing memory and logic resources for small neural networks. | Seongmin Hong, Inho Lee, Yongjun Park |
| 2018 | Tencon | Automated Neural Network Accelerator Generation Framework for Multiple Neural Network Applications. | Inho Lee, Seongmin Hong, Giha Ryu, Yongjun Park |