Ideological Bias in LLMs’ Economic Causal Reasoning
D. Lee, H. Yun, J. Kim, J. Min, S. Park†, S. Park†, J. Kim†
In Conference on Language Modeling  (COLM), 2026

SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger
S. Shin, F. Wu†, B. Lee., M. Cha, S. Park†
In Annual Meeting of the Association for Computational Linguistics (ACL main), 2026

Slum expansion during COVID-19: Mapping a decade of satellite imagery using minimal label
J. Yang, S. Park, H. Kim, S. Lee, J. Kim, J. Kim, M. Cha
Nature Communications Sustainability 2026 

Dropouts in Confidence: Moral Uncertainty in Human-LLM Alignment
J. Kwon, L. F. Vecchietti, S. Park, M. Cha.
In Association for the Advancement of Artificial Intelligence (AAAI), 2026 

Generalizable Slum Detection from Satellite Imagery with Mixture-of-Experts
S. Lee*, S. Park*, J. Yang, J. Kim, M. Cha.
In Association for the Advancement of Artificial Intelligence (AAAI Best Paper Award), 2026 

AI-based Ger detection reveals post- pandemic delay in informal housing progress in Mongolia
J. Yang, S. Lee, S. Park, M. Lee, M. Cha.
NPJ Urban Sustainability (IF: 9.1), 2025

Enhancing Domain Generalization for Robust Machine-Generated Text Detection
S. Park, S. Han, M. Cha. 
IEEE Transactions on Knowledge and Data Engineering (IF: 10.4), 2025 

Classifying and Tracking International Aid Contribution Towards SDGs
S. Park*, D. Lee*, K. Ahn, Y. Choi, J. Lee, M. Cha, K. Park
In International Joint Conference on Artificial Intelligence (IJCAI), 2025

Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
S. Park*, S. Han*, X. Xie, J. Lee, M. Cha.
In ACM Web Conference (WWW), 2025

Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model
K. Ahn, S. Han, S. Park, J. Kim, S. Park, M. Cha
In Association for the Advancement of Artificial Intelligence (AAAI Oral), 2025

Assessing climate risks from satellite imagery with machine learning: A case study of flood risks in Jakarta
K. Singh, C. Jeong, N. Shidqi, S. Park, A. Nellikkattil,, E. Zeller, M. Cha
Climate Risk Management  (IF: 6.8), 2024

Self Supervised Vision for Climate Downscaling
K. Singh, C. Jeong, N. Shidqi, S. Park, A. Nellikkattil,, E. Zeller, M. Cha
In International Joint Conference on Artificial Intelligence (IJCAI), 2024

Towards Attack-tolerant Federated Learning via Critical Parameter Analysis
S. Han*, S. Park*, F. Wu,  S. Kim, B.B. Zhu, X. Xie,  M. Cha
In International Conference on Computer Vision (ICCV), 2023

FedDefender: Client-Side Attack-Tolerant Federated Learning
S. Park*,  S. Han*, F. Wu,  S. Kim, B.B. Zhu, X. Xie,  M. Cha
In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023

A human-machine collaborative approach measures economic development using satellite imagery
D. Ahn, J. Yang, M. Cha, H. Yang, J. Kim, S. Park, S. Han, E. Lee, S. Lee, S. Park
Nature Communications (IF: 18.9), 2023

FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
S. Han*, S. Park*,  F. Wu,  S. Kim,  X. Xie,  M. Cha
In European Conference on Computer Vision (Top-10 self-supervised learning models in 2022), 2022

Downscaling Earth System Models with Deep Learning
S. Park,  K. Singh,  A. Nellikkattil,  E. Zeller,  T. Mai,  M. Cha
In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023

Active Learning for Human-in-the-Loop Customs Inspection
S. Kim,  T. Mai,  S. Han,  S. Park,  T. D.K,  J. So,  K. Singh, M. Cha,
IEEE Transactions on Knowledge and Data Engineering (IF: 10.4), 2022

Learning Economic Indicators by Aggregating Multi-Level Geospatial Information
S. Park*,  S. Han*,  D. Ahn,  J. Kim,  S. Lee,  S. Hong,  J. Kim,  S. Park,  H. Yang,  M. Cha.
In Association for the Advancement of Artificial Intelligence (AAAI), 2022

Knowledge Sharing via Domain Adaptation in Customs Fraud Detection
S. Park,  S. Kim,  M. Cha
In Association for the Advancement of Artificial Intelligence (AAAI), 2022

Elsa: Energy-based learning for semi-supervised anomaly detection
S. Han, H. Song, S. Lee, S. Park, M. Cha
In British Machine Vision Associatio (BMVC),2021

Improving Unsupervised Image Clustering With Robust Learning
S. Park*,  S. Han*,  S. Kim,  D. Kim,  S. Park,  S. Hong,  M. Cha.
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification
S. Han, S. Park, S. Park, S. Kim, M. Cha
In European Conference on Computer Vision (ECCV), 2020

Learning to Score Economic Development from Satellite Imagery
S. Han,  D. Ahn,  S. Park,  J. Yang,  S. Lee,  J. Kim,  H. Yang,  S. Park,  M. Cha
In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020

Lightweight and robust representation of economic scales from satellite imagery
S. Han,  D. Ahn,  H. Cha,  J. Yang,  S, Park,  M. Cha
In Association for the Advancement of Artificial Intelligence (AAAI), 2020

A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm
Y. Xu,  S. Han,  S. Park,  M. Cha,  CT. LI
In IEEE International Conference on Big Data (BigData), 2020