Hyun Kim
11 papers · 2016–2025 · 8 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (38)
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Century Club Β· Bronze
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Deep Learning
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Machine Learning
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Application Areas
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Artificial Intelligence
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Computer Vision
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Core AI Β· Artificial Intelligence
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Techniques
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Natural Language Processing
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Core AI Β· Computer Vision
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Learning Types Β· Machine Learning
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Optimization & Theory Β· Deep Learning
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Learning Types Β· Deep Learning
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Optimization & Theory Β· Machine Learning
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Keywords
knowledge distillation
(2)
efficient computing
(2)
neural network
(2)
post-training quantization
(2)
neural network optimization
(2)
model compression
(2)
multi-task learning
(1)
vision transformer
(1)
model quantization
(1)
unsupervised domain adaptation
(1)
question answering
(1)
extractive summarization
(1)
meeting summarization
(1)
explainable summarization
(1)
object detection
(1)
test-time adaptation
(1)
autonomous driving
(1)
uncertainty quantification
(1)
document summarization
(1)
human-aligned summarization
(1)
Papers
GenPTQ: Green Post-Training Quantization for Large-Scale ASR Models with Mixed-Precision Bit Allocation
EMNLP 2025
GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers
AAAI 2025
LRA-QViT: Integrating Low-Rank Approximation and Quantization for Robust and Efficient Vision Transformers
ICML 2025
HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid Networks
IJCAI 2024
L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer
NeurIPS 2024
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks
AAAI 2024
ExplainMeetSum: A Dataset for Explainable Meeting Summarization Aligned with Human Intent
ACL 2023
ANNA: Enhanced Language Representation for Question Answering
ACL 2022
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
ICCV 2019
QE BERT: Bilingual BERT Using Multi-task Learning for Neural Quality Estimation
ACL 2019
A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output
NAACL 2016