Meeyoung Cha
31 papers · 2016–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Conference Polyglot (11) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(51)
π€
Dynamic Duo
(12)
β‘
Prolific Year
(5)
π
Conference Pioneer
β
The Questioner
π₯
Unstoppable
(7)
π
Century Club
(26)
ποΈ
Keyword Collector
(128)
Conferences
AAAI (9)
ACL (4)
IJCAI (4)
COLING (2)
EACL (2)
ECCV (2)
EMNLP (2)
ICML (2)
NIPS (2)
CVPR (1)
ICCV (1)
Top co-authors
Research topics
Keywords
satellite imagery
(5)
contrastive learning
(4)
text classification
(4)
transfer learning
(3)
domain adaptation
(3)
sentiment analysis
(3)
social media analysis
(3)
large language model
(2)
language model
(2)
sustainable development
(2)
deep learning
(2)
aid classification
(2)
change detection
(1)
semantic segmentation
(1)
transformer architecture
(1)
ordinal regression
(1)
multilingual nlp
(1)
domain generalization
(1)
image classification
(1)
self-supervised learning
(1)
Papers
Generalizable Slum Detection from Satellite Imagery with Mixture-of-Experts
AAAI 2026
Characterizing AI Manipulation Risks in Brazilian YouTube Climate Discourse
AAAI 2026
Dropouts in Confidence: Moral Uncertainty in Human-LLM Alignment
AAAI 2026
How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models
ACL 2026
SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger
ACL 2026
Retrieval Augmented Time Series Forecasting
ICML 2025
Parallel Communities Across the Surface Web and the Dark Web
EMNLP 2025
Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model
AAAI 2025
Measuring Fine-Grained Urban Air Temperature with Satellite Imagery
AAAI 2025
Classifying and Tracking International Aid Contribution Towards SDGs
IJCAI 2025
Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space
ICML 2024
Self-Supervised Vision for Climate Downscaling
IJCAI 2024
How Do Moral Emotions Shape Political Participation? A Cross-Cultural Analysis of Online Petitions Using Language Models
ACL 2024
Detecting Offensive Language in an Open Chatbot Platform
COLING 2024
Detecting Contextomized Quotes in News Headlines by Contrastive Learning
EACL 2023
Unified Neural Topic Model via Contrastive Learning and Term Weighting
EACL 2023
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration
ACL 2023
Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity
NIPS 2023
Machine Learning Driven Aid Classification for Sustainable Development
IJCAI 2023
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis
ICCV 2023
Self-explaining deep models with logic rule reasoning
NIPS 2022
Learning Economic Indicators by Aggregating Multi-Level Geospatial Information
AAAI 2022
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection
AAAI 2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
ECCV 2022
Improving Unsupervised Image Clustering With Robust Learning
CVPR 2021
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification
ECCV 2020
A Risk Communication Event Detection Model via Contrastive Learning
COLING 2020
Lightweight and Robust Representation of Economic Scales from Satellite Imagery
AAAI 2020
The Fallacy of Echo Chambers: Analyzing the Political Slants of User-Generated News Comments in Korean Media
EMNLP 2019
Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder
AAAI 2019
Detecting Rumors from Microblogs with Recurrent Neural Networks
IJCAI 2016