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Heewon Kim
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2020 – today
- 2024
- [j14]Kyeongtak Lee, Heewon Kim, Subin Han
, Sangheon Pack
Utility-based sampling rate allocation in in-band network telemetry for high network visibility. ICT Express 10(1): 77-82 (2024) - [j13]Sungyong Baik
Learning to Learn Task-Adaptive Hyperparameters for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1441-1454 (2024) - [j12]Kyungjin Nam, Heewon Kim, Soowon Kang, Hye-jin Kim:
The BTS ARMY on Twitter flocks together: How transnational fandom on social media build a viable system. Telematics Informatics 91: 102143 (2024) - [j11]Heewon Kim
Learning Controllable ISP for Image Enhancement. IEEE Trans. Image Process. 33: 867-880 (2024) - [j10]Taeho Park
Divide and Cache: Design and Implementation of Control Plane Framework for Private 5G. IEEE Trans. Netw. Serv. Manag. 21(2): 1550-1560 (2024) - [c27]Hongrok Choi, Hochan Lee, Dongkyun Ryoo, Heewon Kim, Haneul Ko, Sangheon Pack:
In-Orbit Aggregator-Empowered Federated Learning Framework for Satellite and Terrestrial-Integrated Networks. ICOIN 2024: 168-172 - [c26]Heewon Kim, Chanbin Bae, Seongyeon Yoon, Haneul Ko, Sangheon Pack, DongJin Lee:
Frequency-Aware and Item-Wise In-band Network Telemetry for Per-flow Measurement. INFOCOM (Workshops) 2024: 1-2 - [c25]Seongyeon Yoon
Multi-task Aware Resource Efficient Traffic Classification via in-Network Inference. NAIC 2024: 69-74 - [i12]Heewon Kim, Hyun Sung Chang, Kiho Cho, Jaeyun Lee
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations. CoRR abs/2401.04390 (2024) - 2023
- [j9]Sol Han, Hochan Lee, Subin Han, Heewon Kim, Sangheon Pack:
Multi-Tenancy- and Redundancy-Aware In-Network Aggregation using Programmable Switches. IEEE Netw. 37(3): 94-100 (2023) - [j8]Hochan Lee
Straggler-Aware In-Network Aggregation for Accelerating Distributed Deep Learning. IEEE Trans. Serv. Comput. 16(6): 4198-4204 (2023) - [c24]Taeho Park, Hochan Lee, Heewon Kim, Subin Han, Taeyun Kim, Sangheon Pack:
Divide and Cache: A Novel Control Plane Framework for Private 5G Networks. CCNC 2023: 417-422 - [c23]Hochan Lee
Quantization-Aware In-Network Aggregation for Minimizing Communication Overhead. CoNEXT (Companion) 2023: 57-58 - [c22]Heewon Kim
Poster: Adaptive In-Network Inference using Early-Exits. EuroP4@CoNEXT 2023: 61-64 - [c21]Heewon Kim, Hochan Lee, Sangheon Pack:
Traffic-Aware In-Network Aggregation Placement for Multi-Tenant Distributed Machine Learning. ICCCN 2023: 1-9 - [c20]Heewon Kim, Kyoung Mu Lee:
NERDS: A General Framework to Train Camera Denoisers from Raw-RGB Noisy Image Pairs. ICLR 2023 - 2022
- [j7]Heewon Kim
Fine-grained neural architecture search for image super-resolution. J. Vis. Commun. Image Represent. 89: 103654 (2022) - [c19]Junghun Oh, Heewon Kim
Attentive Fine-Grained Structured Sparsity for Image Restoration. CVPR 2022: 17652-17661 - [c18]Cheeun Hong, Sungyong Baik, Heewon Kim
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution. ECCV (7) 2022: 367-383 - [c17]Cheeun Hong, Heewon Kim, Sungyong Baik, Junghun Oh, Kyoung Mu Lee:
DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks. WACV 2022: 913-922 - [c16]Junghun Oh, Heewon Kim, Sungyong Baik, Cheeun Hong, Kyoung Mu Lee:
Batch Normalization Tells You Which Filter is Important. WACV 2022: 3351-3360 - [i11]Junghun Oh, Heewon Kim, Seungjun Nah, Cheeun Hong, Jonghyun Choi
Attentive Fine-Grained Structured Sparsity for Image Restoration. CoRR abs/2204.12266 (2022) - [i10]Heewon Kim, Kyoung Mu Lee:
Controllable Image Enhancement. CoRR abs/2206.08488 (2022) - [i9]Cheeun Hong, Sungyong Baik, Heewon Kim, Seungjun Nah, Kyoung Mu Lee:
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution. CoRR abs/2207.10345 (2022) - 2021
- [c15]Andrey Ignatov, Andrés Romero, Heewon Kim, Radu Timofte
Real-Time Video Super-Resolution on Smartphones With Deep Learning, Mobile AI 2021 Challenge: Report. CVPR Workshops 2021: 2535-2544 - [c14]Sungyong Baik, Janghoon Choi, Heewon Kim, Dohee Cho, Jaesik Min, Kyoung Mu Lee:
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning. ICCV 2021: 9445-9454 - [c13]Myungsub Choi, Suyoung Lee, Heewon Kim, Kyoung Mu Lee:
Motion-Aware Dynamic Architecture for Efficient Frame Interpolation. ICCV 2021: 13819-13828 - [c12]Heewon Kim, Sungyong Baik, Myungsub Choi, Janghoon Choi, Kyoung Mu Lee:
Searching for Controllable Image Restoration Networks. ICCV 2021: 14214-14223 - [i8]Andrey Ignatov, Andrés Romero, Heewon Kim, Radu Timofte, Chiu Man Ho, Zibo Meng, Kyoung Mu Lee, Yuxiang Chen, Yutong Wang, Zeyu Long, Chenhao Wang, Yifei Chen, Boshen Xu, Shuhang Gu, Lixin Duan, Wen Li, Bofei Wang, Diankai Zhang, Chengjian Zheng, Shaoli Liu, Si Gao, Xiaofeng Zhang, Kaidi Lu, Tianyu Xu, Zheng Hui, Xinbo Gao, Xiumei Wang, Jiaming Guo, Xueyi Zhou, Hao Jia, Youliang Yan:
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08826 (2021) - [i7]Sungyong Baik, Janghoon Choi, Heewon Kim, Dohee Cho, Jaesik Min, Kyoung Mu Lee:
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning. CoRR abs/2110.03909 (2021) - [i6]Junghun Oh, Heewon Kim, Sungyong Baik, Cheeun Hong, Kyoung Mu Lee:
Batch Normalization Tells You Which Filter is Important. CoRR abs/2112.01155 (2021) - 2020
- [c11]Myungsub Choi, Heewon Kim, Bohyung Han, Ning Xu, Kyoung Mu Lee:
Channel Attention Is All You Need for Video Frame Interpolation. AAAI 2020: 10663-10671 - [c10]Juho Sun, Sangkeun Park, Gyuwon Jung
BeActive: Encouraging Physical Activities with Just-in-time Health Intervention and Micro Financial Incentives. AsianCHI@CHI 2020: 17-20 - [c9]Sungyong Baik, Myungsub Choi, Janghoon Choi, Heewon Kim, Kyoung Mu Lee:
Meta-Learning with Adaptive Hyperparameters. NeurIPS 2020 - [i5]Sungyong Baik, Myungsub Choi, Janghoon Choi, Heewon Kim, Kyoung Mu Lee:
Meta-Learning with Adaptive Hyperparameters. CoRR abs/2011.00209 (2020) - [i4]Heewon Kim, Sungyong Baik, Myungsub Choi, Janghoon Choi, Kyoung Mu Lee:
Searching for Controllable Image Restoration Networks. CoRR abs/2012.11225 (2020) - [i3]Cheeun Hong, Heewon Kim, Junghun Oh, Kyoung Mu Lee:
DAQ: Distribution-Aware Quantization for Deep Image Super-Resolution Networks. CoRR abs/2012.11230 (2020)
2010 – 2019
- 2019
- [j6]Jennifer L. Gibbs, Heewon Kim, Seol Ki
Investigating the Role of Control and Support Mechanisms in Members' Sense of Virtual Community. Commun. Res. 46(1) (2019) - [j5]Sun Kyong Lee
The Role of Status Differentials and Homophily in the Formation of Social Support Networks of a Voluntary Organization. Commun. Res. 46(2) (2019) - [c8]Seungjun Nah, Heewon Kim, Bohyung Han, Ning Xu, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Wang Shen, Wenbo Bao, Guangtao Zhai, Sanghyun Son, Li Chen, Zhiyong Gao, Guannan Chen, Yunhua Lu, Ran Duan, Tong Liu, Lijie Zhang, Woon-Sung Park, Munchurl Kim, George Pisha, Radu Timofte
AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results. ICCV Workshops 2019: 3388-3398 - [i2]Heewon Kim, Seokil Hong, Bohyung Han, Heesoo Myeong, Kyoung Mu Lee:
Fine-Grained Neural Architecture Search. CoRR abs/1911.07478 (2019) - 2018
- [c7]Heewon Kim, Myungsub Choi, Bee Lim, Kyoung Mu Lee:
Task-Aware Image Downscaling. ECCV (4) 2018: 419-434 - [c6]Heewon Kim, Yoonhee Kim:
An adaptive data placement strategy in scientific workflows over cloud computing environments. NOMS 2018: 1-5 - [c5]Heewon Kim, Craig R. Scott:
Going Anonymous: Uses and Perceptions of Anonymous Social Media in an IT Organization. SMSociety 2018: 335-339 - 2017
- [j4]Heewon Kim, Jiwon Seo, Bora Jeong, Chohong Min:
An Experiment of the Malkus-Lorenz Waterwheel and Its Measurement by Image Processing. Int. J. Bifurc. Chaos 27(1): 1750006:1-1750006:14 (2017) - [j3]Jeonggoo Kang, Heewon Kim, Seungmoon Choi, Ki-Duk Kim, Jeha Ryu
Investigation on Low Voltage Operation of Electrovibration Display. IEEE Trans. Haptics 10(3): 371-381 (2017) - [c4]Seoyoung Kim, Julim Ahn, Heewon Kim, Yoonhee Kim, Jieun Choi:
iSDF: An integrated software-defined computing framework for scientific experiments. APNOMS 2017: 157-162 - [c3]Radu Timofte
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - [c2]Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee:
Enhanced Deep Residual Networks for Single Image Super-Resolution. CVPR Workshops 2017: 1132-1140 - [i1]Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee:
Enhanced Deep Residual Networks for Single Image Super-Resolution. CoRR abs/1707.02921 (2017) - 2015
- [j2]Heewon Kim, Jeonggoo Kang, Ki-Duk Kim, Kyoung-Moon Lim, Jeha Ryu
Method for Providing Electrovibration with Uniform Intensity. IEEE Trans. Haptics 8(4): 492-496 (2015) - 2012
- [j1]Jeonggoo Kang, Jongsuh Lee, Heewon Kim, Kwangsu Cho, Semyung Wang
Smooth Vibrotactile Flow Generation Using Two Piezoelectric Actuators. IEEE Trans. Haptics 5(1): 21-32 (2012) - 2011
- [c1]Jeonggoo Kang, Heewon Kim, Jongsuh Lee, Kwangsu Cho, Semyung Wang
Preliminary study for smoother vibrotactile flow generation on thin plates by using piezoelectric actuators. World Haptics 2011: 609-614
Coauthor Index
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last updated on 2024-11-15 19:29 CET by the dblp team
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