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ORCIDJangho Kim
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2020 – today
- 2024
[j4]Lukas Mazur
, Dennis Bollweg, Daniel D. A. Clarke, Luis Altenkort, Olaf Kaczmarek, Rasmus Larsen, Hai-Tao Shu, Jishnu Goswami, Philipp Scior, Hauke Sandmeyer, Marius Neumann, Henrik Dick, Sajid Ali, Jangho Kim, Christian Schmidt, Peter Petreczky, Swagato Mukherjee:
SIMULATeQCD: A simple multi-GPU lattice code for QCD calculations. Comput. Phys. Commun. 300: 109164 (2024)- [j3]Arthur Witt, Jangho Kim, Christopher Körber, Thomas Luu:
ILP-based resource optimization realized by quantum annealing for optical wide-area communication networks - A framework for solving combinatorial problems of a real-world application by quantum annealing. Frontiers Comput. Sci. 6 (2024) - [i18]Jongyun Shin, Seunjin Han, Jangho Kim:
Cooperative Meta-Learning with Gradient Augmentation. CoRR abs/2406.04639 (2024) - 2023
- [j2]Jangho Kim:
Quantization Robust Pruning With Knowledge Distillation. IEEE Access 11: 26419-26426 (2023) - [c16]Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak:
Finding Efficient Pruned Network via Refined Gradients for Pruned Weights. ACM Multimedia 2023: 9003-9011 - [c15]Jiho Jang, Seonhoon Kim, KiYoon Yoo, Chaerin Kong, Jangho Kim, Nojun Kwak:
Self-Distilled Self-supervised Representation Learning. WACV 2023: 2828-2838 - [i17]Jihye Back, Namhyuk Ahn, Jangho Kim:
Magnitude Attention-based Dynamic Pruning. CoRR abs/2306.05056 (2023) - 2022
- [j1]Jangho Kim, KiYoon Yoo, Nojun Kwak:
Model Compression via Position-Based Scaled Gradient. IEEE Access 10: 133828-133841 (2022) - [c14]KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak:
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. ACL (Findings) 2022: 3656-3672 - [c13]Jangho Kim, Juntae Lee, Simyung Chang, Nojun Kwak:
Variational On-the-Fly Personalization. ICML 2022: 11134-11147 - [c12]Byeonggeun Kim, Seunghan Yang, Jangho Kim, Hyunsin Park, Juntae Lee, Simyung Chang:
Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification. INTERSPEECH 2022: 2393-2397 - [i16]KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak:
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. CoRR abs/2203.01677 (2022) - [i15]Byeonggeun Kim, Seunghan Yang, Jangho Kim, Hyunsin Park, Juntae Lee, Simyung Chang:
Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification. CoRR abs/2206.12513 (2022) - [i14]Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang:
QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design. CoRR abs/2206.13909 (2022) - 2021
- [c11]Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang:
Domain Generalization on Efficient Acoustic Scene Classification Using Residual Normalization. DCASE 2021: 21-25 - [c10]Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak:
Prototype-Based Personalized Pruning. ICASSP 2021: 3925-3929 - [c9]Jeesoo Kim, Jangho Kim, Jaeyoung Yoo, Daesik Kim, Nojun Kwak:
Vehicle Image Generation Going Well with the Surroundings. ICONIP (4) 2021: 63-74 - [c8]Jangho Kim, Simyung Chang, Nojun Kwak:
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation. Interspeech 2021: 4568-4572 - [i13]Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak:
Prototype-based Personalized Pruning. CoRR abs/2103.15564 (2021) - [i12]Jangho Kim, Simyung Chang, Nojun Kwak:
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation. CoRR abs/2106.14681 (2021) - [i11]Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak:
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights. CoRR abs/2109.04660 (2021) - [i10]Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang:
Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization. CoRR abs/2111.06531 (2021) - [i9]Jiho Jang, Seonhoon Kim, KiYoon Yoo, Jangho Kim, Nojun Kwak:
Self-Distilled Self-Supervised Representation Learning. CoRR abs/2111.12958 (2021) - 2020
- [c7]Jangho Kim, Jeesoo Kim, Nojun Kwak:
StackNet: Stacking feature maps for Continual learning. CVPR Workshops 2020: 975-982 - [c6]Inseop Chung, Seonguk Park, Jangho Kim, Nojun Kwak:
Feature-map-level Online Adversarial Knowledge Distillation. ICML 2020: 2006-2015 - [c5]Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak:
Feature Fusion for Online Mutual Knowledge Distillation. ICPR 2020: 4619-4625 - [c4]Jangho Kim, KiYoon Yoo, Nojun Kwak:
Position-based Scaled Gradient for Model Quantization and Pruning. NeurIPS 2020 - [i8]Inseop Chung, Seonguk Park, Jangho Kim, Nojun Kwak:
Feature-map-level Online Adversarial Knowledge Distillation. CoRR abs/2002.01775 (2020) - [i7]Jangho Kim, KiYoon Yoo, Nojun Kwak:
Position-based Scaled Gradient for Model Quantization and Sparse Training. CoRR abs/2005.11035 (2020)
2010 – 2019
- 2019
- [i6]Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak:
Feature Fusion for Online Mutual Knowledge Distillation. CoRR abs/1904.09058 (2019) - [i5]Jangho Kim, Yash Bhalgat, Jinwon Lee, Chirag Patel, Nojun Kwak:
QKD: Quantization-aware Knowledge Distillation. CoRR abs/1911.12491 (2019) - 2018
- [c3]Jangho Kim, Seonguk Park, Nojun Kwak:
Paraphrasing Complex Network: Network Compression via Factor Transfer. NeurIPS 2018: 2765-2774 - [i4]Jangho Kim, Seonguk Park, Nojun Kwak:
Paraphrasing Complex Network: Network Compression via Factor Transfer. CoRR abs/1802.04977 (2018) - [i3]Jeesoo Kim, Jaeyoung Yoo, Jangho Kim, Nojun Kwak:
Generating objects going well with the surroundings. CoRR abs/1807.02925 (2018) - [i2]Jangho Kim, Jeesoo Kim, Nojun Kwak:
HC-Net: Memory-based Incremental Dual-Network System for Continual learning. CoRR abs/1809.02441 (2018) - 2016
- [c2]Jangho Kim, Yong-Joong Kim, Yonghyun Kim, Daijin Kim:
Detecting Korean characters in natural scenes by alphabet detection and agglomerative character construction. SMC 2016: 3812-3817 - 2014
- [i1]Yong-Chull Jang, Hwancheol Jeong, Jangho Kim, Weonjong Lee, Jeonghwan Pak, Yuree Chung:
Code Optimization on Kepler GPUs and Xeon Phi. CoRR abs/1411.2223 (2014) - 2011
- [c1]Sinwoo Kang, Sungdong Cho, Kiyoung Yun, Sangwook Ji, Kisoon Bae, Woonseob Lee, Eunji Kim, Jangho Kim, Jonghoon Cho, Hyongyol Mun, Yeong L. Park:
TSV optimization for BEOL interconnection in logic process. 3DIC 2011: 1-4
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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