Meeyoung Cha

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 128

Top Venues

CoRR

WWW (Companion Volume)

BigComp

WWW

Publications

Kyeongjin Ahn, SeungEon Lee, Sungwon Han, Cheng-Yaw Low, Meeyoung Cha
Uncertainty-Aware Face Embedding With Contrastive Learning for Open-Set Evaluation. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Wenchao Dong, Assem Zhunis, Hyojin Chin, Jiyoung Han, Meeyoung Cha
I Am Not Them: Fluid Identities and Persistent Out-group Bias in Large Language Models. CoRR (2024)
Eunji Lee, Sihyeon Kim, Sundong Kim, Soyeon Jung, Heeja Kim, Meeyoung Cha
Explainable Product Classification for Customs. ACM Trans. Intell. Syst. Technol. 15 (2) (2024)
Jaehong Kim, Chaeyoon Jeong, Seongchan Park, Meeyoung Cha, Wonjae Lee
How Do Moral Emotions Shape Political Participation? A Cross-Cultural Analysis of Online Petitions Using Language Models. ACL (Findings) (2024)
Mingi Shin, Hyojin Chin, Hyeonho Song, Yubin Choi, Junghoi Choi, Meeyoung Cha
Context-Aware Offensive Language Detection in Human-Chatbot Conversations. BigComp (2024)
Sungwon Park, Sungwon Han, Meeyoung Cha
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection. CoRR (2024)
Sungwon Han, Donghyun Ahn, SeungEon Lee, Minhyuk Song, Sungwon Park, Sangyoon Park, Jihee Kim, Meeyoung Cha
GeoSEE: Regional Socio-Economic Estimation With a Large Language Model. CoRR (2024)
Hyeonho Song, Jisu Hong, Chani Jung, Hyojin Chin, Mingi Shin, Yubin Choi, Junghoi Choi, Meeyoung Cha
Detecting Offensive Language in an Open Chatbot Platform. LREC/COLING (2024)
Karandeep Singh, Chaeyoon Jeong, Naufal Shidqi, Sungwon Park, Arjun Nellikkattil, Elke Zeller, Meeyoung Cha
Self Supervised Vision for Climate Downscaling. CoRR (2024)
Minji Lee, Luiz Felipe Vecchietti, Hyunkyu Jung, Hyun Joo Ro, Meeyoung Cha, Ho Min Kim
Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space. CoRR (2024)
Sungwon Han, Hyeonho Song, Sungwon Park, Meeyoung Cha
FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning. CoRR (2024)
Kyeongjin Ahn, Sungwon Han, Sungwon Park, Jihee Kim, Sangyoon Park, Meeyoung Cha
Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model. CoRR (2024)
Suyoung Lee, Wonho Song, Suman Jana, Meeyoung Cha, Sooel Son
Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in Deep Neural Networks. IEEE Trans. Dependable Secur. Comput. 20 (4) (2023)
Aitolkyn Baigutanova, Jaehyeon Myung, Diego Sáez-Trumper, Ai-Jou Chou, Miriam Redi, Changwook Jung, Meeyoung Cha
Longitudinal Assessment of Reference Quality on Wikipedia. CoRR (2023)
Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin
GraphFC: Customs Fraud Detection with Label Scarcity. CoRR (2023)
Aitolkyn Baigutanova, Diego Sáez-Trumper, Miriam Redi, Meeyoung Cha, Pablo Aragón
A Comparative Study of Reference Reliability in Multiple Language Editions of Wikipedia. CoRR (2023)
Junho Lee, Hyeonho Song, Dongjoon Lee, Sundong Kim, Jisoo Sim, Meeyoung Cha, Kyung-Ryul Park
Machine Learning Driven Aid Classification for Sustainable Development. IJCAI (2023)
Aitolkyn Baigutanova, Jaehyeon Myung, Diego Sáez-Trumper, Ai-Jou Chou, Miriam Redi, Changwook Jung, Meeyoung Cha
Longitudinal Assessment of Reference Quality on Wikipedia. WWW (2023)
Karandeep Singh, Chaeyoon Jeong, Sungwon Park, Arjun N. Babur, Elke Zeller, Meeyoung Cha
Self-supervised learning for climate downscaling. BigComp (2023)
Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin
GraphFC: Customs Fraud Detection with Label Scarcity. CIKM (2023)
Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
FedDefender: Client-Side Attack-Tolerant Federated Learning. CoRR (2023)
Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. CoRR (2023)
Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. WWW (2023)
Eunji Lee, Sihyeon Kim, Sundong Kim, Soyeon Jung, Heeja Kim, Meeyoung Cha
Explainable Product Classification for Customs. CoRR (2023)
Sundong Kim, Tung-Duong Mai, Sungwon Han, Sungwon Park, Thi Nguyen Duc Khanh, Jaechan So, Karandeep Singh, Meeyoung Cha
Active Learning for Human-in-the-Loop Customs Inspection. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Vyacheslav Shen, Dong-Kyum Kim, Elke Zeller, Meeyoung Cha
Neural Classification of Terrestrial Biomes. BigComp (2023)
Dong Kyum Kim, Jea Kwon, Meeyoung Cha, Chul Lee
Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity. NeurIPS (2023)
Gabriel Lima, Nina Grgic-Hlaca, Meeyoung Cha
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm. CHI (2023)
Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
FedDefender: Client-Side Attack-Tolerant Federated Learning. KDD (2023)
Seonyeong Song, Hyeonho Song, Kunwoo Park, Jiyoung Han, Meeyoung Cha
Detecting Contextomized Quotes in News Headlines by Contrastive Learning. CoRR (2023)
Donghyun Ahn, Minhyuk Song, SeungEon Lee, Yubin Choi, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha
Fine-Grained Socioeconomic Prediction from Satellite Images with Distributional Adjustment. CIKM (2023)
Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Meeyoung Cha, Yejin Choi, Byoung Pil Kim, Gunhee Kim, Eun-Ju Lee, Yong Lim, Alice Oh, Sangchul Park, Jung-Woo Ha
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created Through Human-Machine Collaboration. CoRR (2023)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. ICCV (2023)
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David P. A. Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Y. Halevy, Eduard H. Hovy, Heng Ji, Filippo Menczer, Rubén Míguez, Preslav Nakov, Dietram Scheufele, Shivam Sharma, Giovanni Zagni
Factuality Challenges in the Era of Large Language Models. CoRR (2023)
Karandeep Singh, SeungEon Lee, Giuseppe (Joe) Labianca, Jesse Michael Fagan, Meeyoung Cha
Multi-Stage Machine Learning Model for Hierarchical Tie Valence Prediction. ACM Trans. Knowl. Discov. Data 17 (6) (2023)
Cheng-Yaw Low, Jacky Chen Long Chai, Jaewoo Park, Kyeongjin Ann, Meeyoung Cha
SlackedFace: Learning a Slacked Margin for Low-Resolution Face Recognition. BMVC (2023)
Sungwon Han, Mingi Shin, Sungkyu Park, Changwook Jung, Meeyoung Cha
Unified Neural Topic Model via Contrastive Learning and Term Weighting. EACL (2023)
Gabriel Lima, Nina Grgic-Hlaca, Jin Keun Jeong, Meeyoung Cha
Who Should Pay When Machines Cause Harm? Laypeople's Expectations of Legal Damages for Machine-Caused Harm. FAccT (2023)
Seonyeong Song, Hyeonho Song, Kunwoo Park, Jiyoung Han, Meeyoung Cha
Detecting Contextomized Quotes in News Headlines by Contrastive Learning. EACL (Findings) (2023)
Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Meeyoung Cha, Yejin Choi, Byoung Pil Kim, Gunhee Kim, Eun-Ju Lee, Yong Lim, Alice Oh, Sangchul Park, Jung-Woo Ha
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration. ACL (1) (2023)
Bayu Adhi Tama, Jaehong Kim, Jaehyuk Park, Lev Manovich, Meeyoung Cha
Quantitative Analysis of Cultural Dynamics Seen from an Event-based Social Network. CoRR (2023)
Donghyun Ahn, Minhyuk Song, SeungEon Lee, Yubin Choi, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha
Fine-Grained Socioeconomic Prediction from Satellite Images with Distributional Adjustment. CoRR (2023)
Gabriel Lima, Nina Grgic-Hlaca, Meeyoung Cha
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm. CoRR (2023)
Aitolkyn Baigutanova, Diego Sáez-Trumper, Miriam Redi, Meeyoung Cha, Pablo Aragón
A Comparative Study of Reference Reliability in Multiple Language Editions of Wikipedia. CIKM (2023)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. CoRR (2023)
Sungkyu Park, Hyeonho Song, Sungwon Han, Berhane Weldegebriel, Lev Manovich, Emanuele Arielli, Meeyoung Cha
Using Web Data to Reveal 22-Year History of Sneaker Designs. WWW (2022)
Gabriel Lima, Nina Grgic-Hlaca, Jin Keun Jeong, Meeyoung Cha
The Conflict Between Explainable and Accountable Decision-Making Algorithms. CoRR (2022)
Muzhi Guan, Meeyoung Cha, Yue Wang, Yong Li, Jingbo Sun
From Anticipation to Action: Data Reveal Mobile Shopping Patterns During a Yearly Mega Sale Event in China. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Jaeheon Kim, Donghee Yvette Wohn, Meeyoung Cha
Understanding and identifying the use of emotes in toxic chat on Twitch. Online Soc. Networks Media 27 (2022)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. CoRR (2022)
Sungwon Park, Sundong Kim, Meeyoung Cha
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection. AAAI (2022)
Assem Zhunis, Gabriel Lima, Hyeonho Song, Jiyoung Han, Meeyoung Cha
Emotion Bubbles: Emotional Composition of Online Discourse Before and After the COVID-19 Outbreak. WWW (2022)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. ECCV (30) (2022)
Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Elissa M. Redmiles, Meeyoung Cha, Krishna P. Gummadi
Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking. IEEE Trans. Comput. Soc. Syst. 9 (3) (2022)
Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha
Self-explaining deep models with logic rule reasoning. NeurIPS (2022)
Sungwon Park, Sundong Kim, Meeyoung Cha
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection. CoRR (2022)
Hansoo Lee, Bayu Adhi Tama, Meeyoung Cha
Prediction of Football Player Value using Bayesian Ensemble Approach. CoRR (2022)
Sungwon Park, Sungwon Han, Donghyun Ahn, Jaeyeon Kim, Jeasurk Yang, Susang Lee, Seunghoon Hong, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha
Learning Economic Indicators by Aggregating Multi-Level Geospatial Information. CoRR (2022)
Gabriel Lima, Jiyoung Han, Meeyoung Cha
Others Are to Blame: Whom People Consider Responsible for Online Misinformation. Proc. ACM Hum. Comput. Interact. 6 (CSCW1) (2022)
SeungEon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha
Self-explaining deep models with logic rule reasoning. CoRR (2022)
Sungwon Park, Karandeep Singh, Arjun Nellikkattil, Elke Zeller, Tung-Duong Mai, Meeyoung Cha
Downscaling Earth System Models with Deep Learning. KDD (2022)
Sungwon Park, Sungwon Han, Donghyun Ahn, Jaeyeon Kim, Jeasurk Yang, Susang Lee, Seunghoon Hong, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha
Learning Economic Indicators by Aggregating Multi-Level Geospatial Information. AAAI (2022)
Gabriel Lima, Nina Grgic-Hlaca, Jin Keun Jeong, Meeyoung Cha
The Conflict Between Explainable and Accountable Decision-Making Algorithms. FAccT (2022)
Gabriel Lima, Assem Zhunis, Lev Manovich, Meeyoung Cha
On the Social-Relational Moral Standing of AI: An Empirical Study Using AI-Generated Art. Frontiers Robotics AI 8 (2021)
Gabriel Lima, Meeyoung Cha
Descriptive AI Ethics: Collecting and Understanding the Public Opinion. CoRR (2021)
Gabriel Lima, Nina Grgic-Hlaca, Meeyoung Cha
Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making. CHI (2021)
Sungwon Han, Hyeonho Song, Seungeon Lee, Sungwon Park, Meeyoung Cha
Elsa: Energy-based learning for semi-supervised anomaly detection. CoRR (2021)
Karandeep Singh, Gabriel Lima, Meeyoung Cha, Chiyoung Cha, Juhi Kulshrestha, Yong-Yeol Ahn, Onur Varol
Misinformation, Believability, and Vaccine Acceptance Over 40 Countries: Takeaways From the Initial Phase of The COVID-19 Infodemic. CoRR (2021)
Sungwon Han, Hyeonho Song, SeungEon Lee, Sungwon Park, Meeyoung Cha
Elsa: Energy-based Learning for Semi-supervised Anomaly Detection. BMVC (2021)
Yuan Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim, Meeyoung Cha, Depeng Jin, Yong Li
Disruption in Chinese E-Commerce During COVID-19. Frontiers Comput. Sci. 3 (2021)
Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha
Improving Unsupervised Image Clustering With Robust Learning. CVPR (2021)
Changwook Jung, Inho Hong, Diego Sáez-Trumper, Damin Lee, Jaehyeon Myung, Danu Kim, Jinhyuk Yun, Woo-Sung Jung, Meeyoung Cha
Information flow on COVID-19 over Wikipedia: A case study of 11 languages. WWW (Companion Volume) (2021)
Sungkyu Park, Jamie Yejean Park, Hyojin Chin, Jeong-han Kang, Meeyoung Cha
An Experimental Study to Understand User Experience and Perception Bias Occurred by Fact-checking Messages. WWW (2021)
Gabriel Lima, Nina Grgic-Hlaca, Meeyoung Cha
Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making. CoRR (2021)
Hyeonho Song, Kunwoo Park, Meeyoung Cha
Finding epic moments in live content through deep learning on collective decisions. EPJ Data Sci. 10 (1) (2021)
Oh-Hyun Kwon, Inho Hong, Jeasurk Yang, Donghee Yvette Wohn, Woo-Sung Jung, Meeyoung Cha
Urban green space and happiness in developed countries. EPJ Data Sci. 10 (1) (2021)
Eunji Lee, Sundong Kim, Sihyun Kim, Sungwon Park, Meeyoung Cha, Soyeon Jung, Suyoung Yang, Yeonsoo Choi, Sungdae Ji, Minsoo Song, Heeja Kim
Classification of Goods Using Text Descriptions With Sentences Retrieval. CoRR (2021)
Seunghyun Yoon, Kunwoo Park, Minwoo Lee, Taegyun Kim, Meeyoung Cha, Kyomin Jung
Learning to Detect Incongruence in News Headline and Body Text via a Graph Neural Network. IEEE Access 9 (2021)
Gabriel Lima, Jiyoung Han, Meeyoung Cha
People Expect Joint Accountability for Online Misinformation. TTO (2021)
Suyoung Lee, Wonho Song, Suman Jana, Meeyoung Cha, Sooel Son
Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in Deep Neural Networks. CoRR (2021)
Gabriel Lima, Meeyoung Cha, Chihyung Jeon, Kyungsin Park
The Conflict Between People's Urge to Punish AI and Legal Systems. Frontiers Robotics AI 8 (2021)
Gabriel Lima, Meeyoung Cha
Responsible AI and Its Stakeholders. CoRR (2020)
Sungkyu Park, Sungwon Han, Jeongwook Kim, Mir Majid Molaie, Hoang Dieu Vu, Karandeep Singh, Jiyoung Han, Wonjae Lee, Meeyoung Cha
Risk Communication in Asian Countries: COVID-19 Discourse on Twitter. CoRR (2020)
Sundong Kim, Tung-Duong Mai, Thi Nguyen Duc Khanh, Sungwon Han, Sungwon Park, Karandeep Singh, Meeyoung Cha
Take a Chance: Managing the Exploitation-Exploration Dilemma in Customs Fraud Detection via Online Active Learning. CoRR (2020)
Sungwon Han, Donghyun Ahn, Sungwon Park, Jeasurk Yang, Susang Lee, Jihee Kim, Hyunjoo Yang, Sangyoon Park, Meeyoung Cha
Learning to Score Economic Development from Satellite Imagery. KDD (2020)
Yizhan Xu, Sungwon Han, Sungwon Park, Meeyoung Cha, Cheng-Te Li
A Comprehensive and Adversarial Approach to Self-Supervised Representation Learning. IEEE BigData (2020)
Gabriel Lima, Changyeon Kim, Seungho Ryu, Chihyung Jeon, Meeyoung Cha
Collecting the Public Perception of AI and Robot Rights. Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
Sungwon Han, Yizhan Xu, Sungwon Park, Meeyoung Cha, Cheng-Te Li
A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm. CoRR (2020)
Kunwoo Park, Taegyun Kim, Seunghyun Yoon, Meeyoung Cha, Kyomin Jung
BaitWatcher: A lightweight web interface for the detection of incongruent news headlines. CoRR (2020)
Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha
Improving Unsupervised Image Clustering With Robust Learning. CoRR (2020)
Gabriel Lima, Hyeyoung Hwang, Chiyoung Cha, Meeyoung Cha
Public Willingness to Get Vaccinated Against COVID-19: How AI-Developed Vaccines Can Affect Acceptance. CoRR (2020)
Meeyoung Cha, Wei Gao, Cheng-Te Li
Detecting fake news in social media: an Asia-Pacific perspective. Commun. ACM 63 (4) (2020)
Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, Meeyoung Cha
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification. ECCV (24) (2020)
Jeongmin Kim, Kunwoo Park, Hyeonho Song, Jaimie Y. Park, Meeyoung Cha
Learning How Spectator Reactions Affect Popularity on Twitch. BigComp (2020)
Kunwoo Park, Haewoon Kwak, Hyunho Song, Meeyoung Cha
"Trust me, I have a Ph.D.": A Propensity Score Analysis on the Halo Effect of Disclosing One's Offline Social Status in Online Communities. CoRR (2020)
Gabriel Lima, Meeyoung Cha, Chihyung Jeon, Kyungsin Park
Explaining the Punishment Gap of AI and Robots. CoRR (2020)
Gabriel Lima, Chihyung Jeon, Meeyoung Cha, Kyungsin Park
Will Punishing Robots Become Imperative in the Future? CHI Extended Abstracts (2020)
Yuan Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim, Meeyoung Cha, Yong Li
Disruption in the Chinese E-Commerce During COVID-19: A Case Study of the Beidian Platform. CoRR (2020)
Sundong Kim, Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha
DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection. KDD (2020)
Seyedeh Farnoosh Hashemi Fesharaki, Ali Behrouz, Jeasurk Yang, Donghee Yvette Wohn, Meeyoung Cha
Green Space and Happiness of Developed Countries. BigComp (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Meeyoung Cha