Jee-Hyong Lee
22 papers · 2021–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🏃 Academic Marathon (5)
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Conference Polyglot
(10)
🧭
Keyword Pioneer
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Dynamic Duo
(12)
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Keyword Collector
(94)
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Prolific Year
(5)
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Century Club
(20)
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Unstoppable
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❓
The Questioner
Conferences
ACL (6)
NAACL (4)
AAAI (2)
COLING (2)
CVPR (2)
ECCV (2)
EMNLP (1)
ICCV (1)
IJCNLP (1)
WACV (1)
Top co-authors
Keywords
pre-trained language model
(3)
large language model
(3)
adversarial attack
(3)
code model
(2)
image classification
(2)
contrastive learning
(2)
code summarization
(2)
domain generalization
(2)
representation learning
(2)
model selection
(1)
data augmentation
(1)
natural language inference
(1)
in-context learning
(1)
natural language generation
(1)
few-shot learning
(1)
self-supervised learning
(1)
knowledge graph
(1)
label propagation
(1)
labeled samples
(1)
mahalanobis distance
(1)
Papers
BD-Net: Has Depth-Wise Convolution Ever Been Applied in Binary Neural Networks?
AAAI 2026
ReFEree: Reference-Free and Fine-Grained Method for Evaluating Factual Consistency in Real-World Code Summarization
ACL 2026
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization
AAAI 2025
DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph
ACL 2025
DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models
NAACL 2025
CoRAC: Integrating Selective API Document Retrieval with Question Semantic Intent for Code Question Answering
NAACL 2025
SALAD: Improving Robustness and Generalization through Contrastive Learning with Structure-Aware and LLM-Driven Augmented Data
NAACL 2025
Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation
NAACL 2025
Feature-Level and Spatial-Level Activation Expansion for Weakly-Supervised Semantic Segmentation
WACV 2025
Learning with Structural Labels for Learning with Noisy Labels
CVPR 2024
STAGE: Simple Text Data Augmentation by Graph Exploration
COLING 2024
ExMatch: Self-guided Exploitation for Semi-Supervised Learning with Scarce Labeled Samples
ECCV 2024
IGNORE: Information Gap-based False Negative Loss Rejection for Single Positive Multi-Label Learning
ECCV 2024
Code Defect Detection Using Pre-trained Language Models with Encoder-Decoder via Line-Level Defect Localization
COLING 2024
BLOCSUM: Block Scope-based Source Code Summarization via Shared Block Representation
ACL 2023
Simple and Effective Out-of-Distribution Detection via Cosine-based Softmax Loss
ICCV 2023
CodePrompt: Task-Agnostic Prefix Tuning for Program and Language Generation
ACL 2023
DIP: Dead code Insertion based Black-box Attack for Programming Language Model
ACL 2023
Propagation Regularizer for Semi-Supervised Learning With Extremely Scarce Labeled Samples
CVPR 2022
TABS: Efficient Textual Adversarial Attack for Pre-trained NL Code Model Using Semantic Beam Search
EMNLP 2022
Learning Sequential and Structural Information for Source Code Summarization
ACL 2021
Learning Sequential and Structural Information for Source Code Summarization
IJCNLP 2021