Jee-Hyong Lee
23 papers · 2021–2026 · 9 venues · across top CS/AI venues
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Research topics
Machine Learning
(18)
Deep Learning
(12)
Learning Types Β· Machine Learning
(11)
Learning Types Β· Deep Learning
(10)
Application Areas
(9)
Natural Language Processing
(8)
Artificial Intelligence
(7)
Core AI
(7)
Applications
(6)
Computer Vision
(3)
Core Methods
(3)
Generation
(3)
Optimization & Theory
(3)
Resources & Methods
(3)
Computer Science
(2)
Keywords
pre-trained language model
(4)
representation learning
(3)
large language model
(3)
adversarial attack
(3)
image classification
(2)
semi-supervised learning
(2)
contrastive learning
(2)
domain generalization
(2)
code summarization
(2)
code model
(2)
data augmentation
(1)
natural language inference
(1)
self-supervised learning
(1)
in-context learning
(1)
few-shot learning
(1)
label propagation
(1)
mahalanobis distance
(1)
text classification
(1)
source code
(1)
label noise
(1)
Papers
BD-Net: Has Depth-Wise Convolution Ever Been Applied in Binary Neural Networks?
AAAI 2026
G-MIXER: Geodesic Mixup-based Implicit Semantic Expansion and Explicit Semantic Re-ranking for Zero-Shot Composed Image Retrieval
CVPR 2026
Learning to Refuse: Refusal-Aware Reinforcement Fine-Tuning for Hard-Irrelevant Queries in Video Temporal Grounding
CVPR 2026
ReFEree: Reference-Free and Fine-Grained Method for Evaluating Factual Consistency in Real-World Code Summarization
ACL 2026
CoRAC: Integrating Selective API Document Retrieval with Question Semantic Intent for Code Question Answering
NAACL 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
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization
AAAI 2025
Feature-Level and Spatial-Level Activation Expansion for Weakly-Supervised Semantic Segmentation
WACV 2025
Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation
NAACL 2025
SALAD: Improving Robustness and Generalization through Contrastive Learning with Structure-Aware and LLM-Driven Augmented Data
NAACL 2025
Code Defect Detection Using Pre-trained Language Models with Encoder-Decoder via Line-Level Defect Localization
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
Learning with Structural Labels for Learning with Noisy Labels
CVPR 2024
STAGE: Simple Text Data Augmentation by Graph Exploration
COLING 2024
BLOCSUM: Block Scope-based Source Code Summarization via Shared Block Representation
ACL 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
Simple and Effective Out-of-Distribution Detection via Cosine-based Softmax Loss
ICCV 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