About

I am Ujun Jeong, a Ph.D. candidate in Computer Science at Arizona State University. I am part of the Data Mining and Machine Learning (DMML) Lab, under the guidance of Dr. Huan Liu.

My research models user behavior in interconnected platform ecosystems, examining how their interactions across platforms reshape information flow, community formation, migration, and broader platform dynamics. I develop multi-method frameworks that combine graph learning, agent-based simulation, econometrics, and time-series forecasting. By building machine learning models grounded in sociological theory, my work aims to derive actionable insights from complex social systems to support engaging and safe digital environments.

Before beginning my Ph.D. studies, I was honored to be the youngest captain in the Republic of Korea Air Force, specializing in information and communications. I earned an M.S. in Computer Science with a focus on Natural Language Processing from Kyungpook National University, and completed a B.Eng. in Computer Science and Engineering at Sejong University, supported by a full-tuition scholarship and stipend from the Scholarship Foundation for Future Leaders.

News

Oct 2025: Successfully passed my prospectus dissertation 📝 titled "User Behavior across Multiple Platforms: Modeling Groups and Migration."
Sept 2025: My work during my internship with Amazon has been accepted to the NeurIPS 2025 DiffCoALG workshop.
Sept 2025: Invited to speak on ACM PhD Pathways Panel at Arizona State University 🎤.
Aug 2025: Received the Best Paper Award 🏆 in the ASONAM 2025 multidisciplinary track for the work on cross-platform interaction dynamics.
Aug 2025: Authorized to work in the U.S. without sponsorship ✅.
Jun 2025: Presented our survey on decentralized online social networks in the ICWSM 2025 Next-Gen and Alternative Social Media workshop.
May 2025: I will join Amazon's Buyer Risk Prevention team as an applied scientist intern during the summer.
Nov 2024: Science Magazine quoted my interview at "Like ‘old Twitter’: The scientific community finds a new home on Bluesky" 📰.
Nov 2024: Successfully finished my internship at Amazon as an applied scientist intern with Private Brand Intelligence team.
Sept 2024: Research Professional News quoted my research at “Academics Struggling to Replicate X Community Elsewhere” 📰.

Publications

CAMO: Causality-Guided Adversarial Multimodal Domain Generalization for Crisis Classification [PDF]
Pingchuan Ma, Chengshuai Zhao, Bohan Jiang, Saketh Vishnubhatla, Ujun Jeong, Alimohammad Beigi, Adrienne Raglin, Huan Liu
PAKDD 2026
"Reinforcement Learning Assisted Dynamic Large Scale Graph Learning" [PDF]
Ujun Jeong, Pankaj Rajak, Venu Madhav Tammali, Virinchi Roy Surabhi, Olcay Boz
NeurIPS 2025 Workshop DiffCoALG
"An Interventional Approach to Real-Time Disaster Assessment via Causal Attribution" [PDF]
Saketh Vishnubhatla, Alimohammad Beigi, Rui Heng Foo, Umang Goel, Ujun Jeong, Bohan Jiang, Adrienne Raglin and Huan Liu
CIKM 2025 Demo Track
"Assessing On-the-Ground Disaster Impact Using Online Data Sources" [PDF]
Saketh Vishubhatla, Ujun Jeong, Bohan Jiang, Paras Sheth, Zhen Tan, Adrienne Raglin and Huan Liu
SBP-BRiMS 2025
"Fediverse Sharing: Cross-Platform Interaction Dynamics between Threads and Mastodon Users" [PDF]
Ujun Jeong, Alimohammad Beigi, Anique Tahir, Susan Xu Tang, H. Russell Bernard, Huan Liu
ASONAM 2025 Multidisciplinary Track (Best Paper Award)
"BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social" [PDF] [IEEE Data Portal] [GitHub]
Ujun Jeong, Bohan Jiang, Zhen Tan, H. Russell Bernard, Huan Liu
IEEE DATA 2024
"User Migration across Multiple Social Media Platforms" [PDF]
Ujun Jeong, Ayushi Nirmal, Kritshekhar Jha, Susan Xu Tang, H. Russell Bernard, Huan Liu
SDM 2024
"Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study" [PDF]
Ujun Jeong, Paras Sheth, Anique Tahir, Faisal Alatawi, H. Russell Bernard, Huan Liu
ICWSM 2024
"Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks" [PDF]
Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
IEEE Big Data 2022
"Classifying COVID-19 related Meta Ads using Discourse Representation through a Hypergraph" [PDF]
Ujun Jeong, Alghamdi Zeyad, Kaize Ding, Lu Cheng, Baoxin Li, Huan Liu
SBP-BRiMS 2022
"CauseBox: A Causal Inference Toolbox for Benchmarking Treatment Effect Estimators with Machine Learning Methods" [PDF]
Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu and K. Selcuk Candan
CIKM 2021 Demo Track
"FBAdTracker: An Interactive Data Collection and Analysis Tool for Facebook Advertisements" [PDF]
Ujun Jeong, Kaize Ding, Huan Liu
SBP-BRiMS 2021 Demo Track
"Fake News Detection Using External Information on Social Media"
Ujun Jeong, Sunggoo Kwon, Su Jeong Choi, Se-Young Park, Sang-Jo Lee
KCC 2018

Preprints & Under Review

"Large Language Models for Causal Relations Extraction in Social Media: Insights from Billion-Dollar Disaster Events"
Ujun Jeong, Saketh Vishnubhatla, Bohan Jiang, Adrienne Raglin, Huan Liu
"Navigating Decentralized Online Social Networks: An Overview of Technical and Societal Challenges in Architectural Choices" [PDF]
Ujun Jeong, Lynnette Hui Xian Ng, Kathleen M. Carley, Huan Liu
"Surveying the Terrains of Social Media Platforms through the Lens of User Migration Pattern" [Website]
Ujun Jeong, Huan Liu
IEEE DSAA 2024 Doctoral Forum
"On the Fragility of LLM Agents’ Consensus with Network-Enabled Opinion Dynamics"
Ujun Jeong, Ravi Karumuri, Nayoung Kim, Kritshekhar Jha, Zhen Tan, H. Russell Bernard, Huan Liu
Last updated: February 9, 2026