Jun-Hyung Park
19 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (51) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(2)
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Dynamic Duo
(19)
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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Keyword Collector
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Venues
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Research topics
Machine Learning
(18)
Deep Learning
(15)
Artificial Intelligence
(11)
Learning Types Β· Deep Learning
(11)
Core AI
(10)
Application Areas
(8)
Learning Types Β· Machine Learning
(8)
Natural Language Processing
(6)
Architectures
(6)
Core Methods
(6)
Learning Paradigms
(4)
Resources & Methods
(4)
Applications
(3)
Optimization & Theory Β· Machine Learning
(3)
Optimization & Theory Β· Deep Learning
(3)
Keywords
language model
(4)
knowledge distillation
(3)
model compression
(3)
representation learning
(3)
text classification
(3)
knowledge transfer
(2)
contrastive learning
(2)
materials science
(2)
transfer learning
(2)
pre-trained language model
(2)
convolutional neural network
(2)
commonsense reasoning
(2)
language model adaptation
(2)
parameter-efficient fine-tuning
(2)
molecular property prediction
(2)
curriculum learning
(2)
policy gradient
(1)
zero-shot learning
(1)
natural language processing
(1)
sentiment analysis
(1)
Papers
Incorporating Domain Knowledge into Materials Tokenization
ACL 2025
Coconut: Contextualized Commonsense Unified Transformers for Graph-Based Commonsense Augmentation of Language Models
ACL 2024
MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science
EMNLP 2024
Moleco: Molecular Contrastive Learning with Chemical Language Models for Molecular Property Prediction
EMNLP 2024
MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction
EMNLP 2024
SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science
EMNLP 2024
Zero-shot Commonsense Reasoning over Machine Imagination
EMNLP 2024
Client-Customized Adaptation for Parameter-Efficient Federated Learning
ACL 2023
DIVE: Towards Descriptive and Diverse Visual Commonsense Generation
EMNLP 2023
Dynamic Structure Pruning for Compressing CNNs
AAAI 2023
Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing
EMNLP 2023
SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts
EMNLP 2023
Break it Down into BTS: Basic, Tiniest Subword Units for Korean
EMNLP 2022
Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking
EMNLP 2022
Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference
ACL 2022
Tutoring Helps Students Learn Better: Improving Knowledge Distillation for BERT with Tutor Network
EMNLP 2022
KOAS: Korean Text Offensiveness Analysis System
EMNLP 2021
Multi-pretraining for Large-scale Text Classification
EMNLP 2020
Adaptive Convolution for Text Classification
NAACL 2019