Hanjia Lyu

Orcid: 0000-0002-3876-0094

According to our database1, Hanjia Lyu authored at least 44 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Bibliography

2024
SoMeLVLM: A Large Vision Language Model for Social Media Processing.
CoRR, 2024

In the Eyes of the Bystander: Are the Stances on Different Conflicts Correlated?
CoRR, 2024

Human vs. LMMs: Exploring the Discrepancy in Emoji Interpretation and Usage in Digital Communication.
CoRR, 2024

CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputs.
CoRR, 2024

2023
Understanding Public Opinion Toward the #StopAsianHate Movement and the Relation With Racially Motivated Hate Crimes in the US.
IEEE Trans. Comput. Soc. Syst., February, 2023

GPT-4V(ision) as A Social Media Analysis Engine.
CoRR, 2023

Mixture of Weak & Strong Experts on Graphs.
CoRR, 2023

LLM-Rec: Personalized Recommendation via Prompting Large Language Models.
CoRR, 2023

Excitements and Concerns in the Post-ChatGPT Era: Deciphering Public Perception of AI through Social Media Analysis.
CoRR, 2023

Learning to Evaluate the Artness of AI-generated Images.
CoRR, 2023

Bias or Diversity? Unraveling Semantic Discrepancy in U.S. News Headlines.
CoRR, 2023

Human Behavior in the Time of COVID-19: Learning from Big Data.
CoRR, 2023

Computational Assessment of Hyperpartisanship in News Titles.
CoRR, 2023

Dismantling Hate: Understanding Hate Speech Trends Against NBA Athletes.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2023

Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

How Art-like are AI-generated Images? An Exploratory Study.
Proceedings of the 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice, 2023

Applying Machine Learning to Predict Esophageal Cancer Recurrence after Esophagectomy.
Proceedings of the IEEE International Conference on Digital Health, 2023

Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning.
Proceedings of the IEEE International Conference on Digital Health, 2023

A Fine-Grained Analysis of Public Opinion toward Chinese Technology Companies on Reddit.
Proceedings of the IEEE International Conference on Big Data, 2023

Understanding Divergent Framing of the Supreme Court Controversies: Social Media vs. News Outlets.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Improving Visual-textual Sentiment Analysis by Fusing Expert Features.
CoRR, 2022

Causal Inference via Nonlinear Variable Decorrelation for Healthcare Applications.
CoRR, 2022

Understanding Political Polarization on Social Platforms by Jointly Modeling Users, Connections and Multi-modal Post Contents in Heterogeneous Graphs.
CoRR, 2022

"Ban the Chinese spyware!": A Fine-Grained Analysis of Public Opinion toward Chinese Technology Companies on Reddit.
CoRR, 2022

Understanding Political Polarization via Jointly Modeling Users, Connections and Multimodal Contents on Heterogeneous Graphs.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Look behind the Censorship: Reposting-User Characterization and Muted-Topic Restoration.
Proceedings of the Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, 2022

Taking sides: Public Opinion over the Israel-Palestine Conflict in 2021.
Proceedings of the Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, 2022

Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Doctors vs. Nurses: Understanding the Great Divide in Vaccine Hesitancy among Healthcare Workers.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19.
IEEE Trans. Big Data, 2021

What Contributes to a Crowdfunding Campaign's Success? Evidence and Analyses from GoFundMe Data.
J. Soc. Comput., 2021

Social Disparities in Oral Health in America amid the COVID-19 Pandemic.
CoRR, 2021

Both Rates of Fake News and Fact-based News on Twitter Negatively Correlate with the State-level COVID-19 Vaccine Uptake.
CoRR, 2021

State-level Racially Motivated Hate Crimes Contrast Public Opinion on the #StopAsianHate and #StopAAPIHate Movement.
CoRR, 2021

Understanding Patterns of Users Who Repost Censored Posts on Weibo.
CoRR, 2021

From Gen Z, Millennials, to Babyboomers: Portraits of Working from Home during the COVID-19 Pandemic.
CoRR, 2021

Characterizing Discourse about COVID-19 Vaccines: A Reddit Version of the Pandemic Story.
CoRR, 2021

How Political is the Spread of COVID-19 in the United States? - An Analysis Using Transportation and Weather Data.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2021

Fine-Grained Analysis of the Use of Neutral and Controversial Terms for COVID-19 on Social Media.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2021

Understanding the Hoarding Behaviors during the COVID-19 Pandemic using Large Scale Social Media Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

From Static to Dynamic Prediction: Wildfire Risk Assessment Based on Multiple Environmental Factors.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Social Media Study of Public Opinions on Potential COVID-19 Vaccines: Informing Dissent, Disparities, and Dissemination.
CoRR, 2020

Monitoring Depression Trend on Twitter during the COVID-19 Pandemic.
CoRR, 2020

In the Eyes of the Beholder: Sentiment and Topic Analyses on Social Media Use of Neutral and Controversial Terms for COVID-19.
CoRR, 2020


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