About Me

ujeong1@asu.edu


CV (Resume)

My name is Ujun Jeong. I am a 4th year Ph.D. student 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 is centered on the intersection of social media mining and sociolinguistic analysis, where the primary goal is to unravel the structural relationships embedded within social messages. More specifically, I employ Graph Neural Networks (GNNs) and Natural Language Processing (NLP) as key tools to decipher the significant structures intrinsic to social networks. This approach enhances our comprehension of user behavior on social media platforms, especially in terms of the intertextual meanings present in user-generated content, which often comprise informal narratives and personal experiences.


I was honored with the distinction of being the youngest captain ever to serve in the Korean Air Force with a specialization in information and communication. During my Master's degree, I studied Computer Science with a focus on Natural Language Processing at Kyungpook National University. For my Bachelor's degree, I majored in Computer Science & Engineering at Sejong University with full tuition from the Scholarship Foundation for Future Leaders.

Publications

Google Scholar

• "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.
In IEEE Data Descriptions (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.
In SIAM International Conference on Data Mining (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.
In International AAAI Conference on Web and Social Media (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.
In IEEE International Conference on Big Data (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.
In International Conference on Social Computing, Behavioral-Cultural Modeling, Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2022).

• "CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods" [PDF]
Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu and K. Selcuk Candan.
In International Conference on Information and Knowledge Management (CIKM 2021), demo track.

• "FBAdTracker: An Interactive Data Collection and Analysis Tool for Facebook Advertisements" [PDF]
Ujun Jeong, Kaize Ding, Huan Liu.
In International Conference on Social Computing, Behavioral-Cultural Modeling, Prediction and Behavior Representation in Modeling and Simulation (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.
In Proceedings of the Korea Computer Congress (KCC 2018)

Preprints

• "Surveying the Terrains of Social Media Platforms through the Lens of User Migration Pattern" [Website]
Ujun Jeong, Huan Liu.
In IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2024).

• "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.