Jangho Kim - RankMe

45 papers A* 5A 6B 2Misc 1Journal 26Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Entropy-Guided Meta-Initialization regularization for few-shot text classification. Knowl. Based Syst. Jongyun Shin, Jinwoo Kim, Jangho Kim
2025	A	`conf`	Exploring Diverse Sparse Network Structures via Dynamic Pruning with Weight Alignment. CIKM Jinwoo Kim, Jongyun Shin, Sangho An, Jangho Kim
2025	J	`jnl`	Layerwise-priority-based gradient adjustment for few-shot learning. Expert Syst. Appl. Jangho Kim, JunHoo Lee, Donghoon Han, Nojun Kwak
2025	J	`jnl`	Magnitude Attention-based Dynamic Pruning. Expert Syst. Appl. Jihye Back, Namhyuk Ahn, Jangho Kim
2025	J	`jnl`	Quantization-Aware Training With Dynamic and Static Pruning. IEEE Access Sangho An, Jongyun Shin, Jangho Kim
2025	A	`conf`	Sparse Structure Exploration and Re-optimization for Vision Transformer. UAI Sangho An, Jinwoo Kim, Keonho Lee, Jingang Huh, Chanwoong Kwak, Yujin Lee, Moonsub Jin, Jangho Kim
2024	A	`conf`	Cooperative Meta-Learning with Gradient Augmentation. UAI Jongyun Shin, Seungjin Han, Jangho Kim
2024	J	`jnl`	Cooperative Meta-Learning with Gradient Augmentation. CoRR Jongyun Shin, Seungjin Han, Jangho Kim
2024	J	`jnl`	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. Arthur Witt, Jangho Kim, Christopher Körber, Thomas Luu
2024	J	`jnl`	SIMULATeQCD: A simple multi-GPU lattice code for QCD calculations. Comput. Phys. Commun. 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
2023	A*	`conf`	Finding Efficient Pruned Network via Refined Gradients for Pruned Weights. ACM Multimedia Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak
2023	J	`jnl`	Magnitude Attention-based Dynamic Pruning. CoRR Jihye Back, Namhyuk Ahn, Jangho Kim
2023	J	`jnl`	Quantization Robust Pruning With Knowledge Distillation. IEEE Access Jangho Kim
2023	A	`conf`	Self-Distilled Self-supervised Representation Learning. WACV Jiho Jang, Seonhoon Kim, KiYoon Yoo, Chaerin Kong, Jangho Kim, Nojun Kwak
2022	—	`conf`	Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. ACL (Findings) KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak
2022	J	`jnl`	Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. CoRR KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak
2022	A	`conf`	Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification. INTERSPEECH Byeonggeun Kim, Seunghan Yang, Jangho Kim, Hyunsin Park, Juntae Lee, Simyung Chang
2022	J	`jnl`	Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification. CoRR Byeonggeun Kim, Seunghan Yang, Jangho Kim, Hyunsin Park, Juntae Lee, Simyung Chang
2022	J	`jnl`	Model Compression via Position-Based Scaled Gradient. IEEE Access Jangho Kim, KiYoon Yoo, Nojun Kwak
2022	J	`jnl`	QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design. CoRR Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang
2022	A*	`conf`	Variational On-the-Fly Personalization. ICML Jangho Kim, Juntae Lee, Simyung Chang, Nojun Kwak
2021	—	`conf`	Domain Generalization on Efficient Acoustic Scene Classification Using Residual Normalization. DCASE Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang
2021	J	`jnl`	Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization. CoRR Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang
2021	J	`jnl`	Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights. CoRR Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak
2021	A	`conf`	PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation. Interspeech Jangho Kim, Simyung Chang, Nojun Kwak
2021	J	`jnl`	PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation. CoRR Jangho Kim, Simyung Chang, Nojun Kwak
2021	Misc	`conf`	Prototype-Based Personalized Pruning. ICASSP Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak
2021	J	`jnl`	Prototype-based Personalized Pruning. CoRR Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak
2021	J	`jnl`	Self-Distilled Self-Supervised Representation Learning. CoRR Jiho Jang, Seonhoon Kim, KiYoon Yoo, Jangho Kim, Nojun Kwak
2021	—	`conf`	Vehicle Image Generation Going Well with the Surroundings. ICONIP (4) Jeesoo Kim, Jangho Kim, Jaeyoung Yoo, Daesik Kim, Nojun Kwak
2020	B	`conf`	Feature Fusion for Online Mutual Knowledge Distillation. ICPR Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak
2020	A*	`conf`	Feature-map-level Online Adversarial Knowledge Distillation. ICML Inseop Chung, Seonguk Park, Jangho Kim, Nojun Kwak
2020	J	`jnl`	Feature-map-level Online Adversarial Knowledge Distillation. CoRR Inseop Chung, Seonguk Park, Jangho Kim, Nojun Kwak
2020	A*	`conf`	Position-based Scaled Gradient for Model Quantization and Pruning. NeurIPS Jangho Kim, KiYoon Yoo, Nojun Kwak
2020	J	`jnl`	Position-based Scaled Gradient for Model Quantization and Sparse Training. CoRR Jangho Kim, KiYoon Yoo, Nojun Kwak
2020	—	`conf`	StackNet: Stacking feature maps for Continual learning. CVPR Workshops Jangho Kim, Jeesoo Kim, Nojun Kwak
2019	J	`jnl`	Feature Fusion for Online Mutual Knowledge Distillation. CoRR Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak
2019	J	`jnl`	QKD: Quantization-aware Knowledge Distillation. CoRR Jangho Kim, Yash Bhalgat, Jinwon Lee, Chirag Patel, Nojun Kwak
2018	J	`jnl`	Generating objects going well with the surroundings. CoRR Jeesoo Kim, Jaeyoung Yoo, Jangho Kim, Nojun Kwak
2018	J	`jnl`	HC-Net: Memory-based Incremental Dual-Network System for Continual learning. CoRR Jangho Kim, Jeesoo Kim, Nojun Kwak
2018	A*	`conf`	Paraphrasing Complex Network: Network Compression via Factor Transfer. NeurIPS Jangho Kim, Seonguk Park, Nojun Kwak
2018	J	`jnl`	Paraphrasing Complex Network: Network Compression via Factor Transfer. CoRR Jangho Kim, Seonguk Park, Nojun Kwak
2016	B	`conf`	Detecting Korean characters in natural scenes by alphabet detection and agglomerative character construction. SMC Jangho Kim, Yong-Joong Kim, Yonghyun Kim, Daijin Kim
2014	J	`jnl`	Code Optimization on Kepler GPUs and Xeon Phi. CoRR Yong-Chull Jang, Hwancheol Jeong, Jangho Kim, Weonjong Lee, Jeonghwan Pak, Yuree Chung
2011	—	`conf`	TSV optimization for BEOL interconnection in logic process. 3DIC Sinwoo Kang, Sungdong Cho, Kiyoung Yun, Sangwook Ji, Kisoon Bae, Woonseob Lee, Eunji Kim, Jangho Kim, Jonghoon Cho, Hyongyol Mun, Yeong L. Park