In the Eyes of the Beholder: Sentiment and Topic Analyses on Social Media Use of Neutral and Controversial Terms for COVID-19. - Long Chen; Hanjia Lyu; Tongyu Yang; Yu Wang 041; Jiebo Luo 001 (CoRR, 2020)

Monitoring Depression Trend on Twitter during the COVID-19 Pandemic. - Yipeng Zhang; Hanjia Lyu; Yubao Liu; Xiyang Zhang 001; Yu Wang 041; Jiebo Luo 001 (CoRR, 2020)

Social Media Study of Public Opinions on Potential COVID-19 Vaccines: Informing Dissent, Disparities, and Dissemination. - Hanjia Lyu; Junda Wang; Wei Wu; Viet Duong; Xiyang Zhang 001; Jiebo Luo 001 (CoRR, 2020)

From Static to Dynamic Prediction: Wildfire Risk Assessment Based on Multiple Environmental Factors. - Tanqiu Jiang; Sidhant K. Bendre; Hanjia Lyu; Jiebo Luo 001 (IEEE BigData, 2021)

Understanding the Hoarding Behaviors during the COVID-19 Pandemic using Large Scale Social Media Data. - Xupin Zhang; Hanjia Lyu; Jiebo Luo 001 (IEEE BigData, 2021)

Fine-Grained Analysis of the Use of Neutral and Controversial Terms for COVID-19 on Social Media. - Long Chen; Hanjia Lyu; Tongyu Yang; Yu Wang 041; Jiebo Luo 001 (SBP-BRiMS, 2021)

How Political is the Spread of COVID-19 in the United States? - An Analysis Using Transportation and Weather Data. - Karan Vombatkere; Hanjia Lyu; Jiebo Luo 001 (SBP-BRiMS, 2021)

Characterizing Discourse about COVID-19 Vaccines: A Reddit Version of the Pandemic Story. - Wei Wu; Hanjia Lyu; Jiebo Luo 001 (CoRR, 2021)

From Gen Z, Millennials, to Babyboomers: Portraits of Working from Home during the COVID-19 Pandemic. - Ziyu Xiong; Pin Li; Hanjia Lyu; Jiebo Luo 001 (CoRR, 2021)

Understanding Patterns of Users Who Repost Censored Posts on Weibo. - Yichi Qian; Feng Yuan; Hanjia Lyu; Jiebo Luo 001 (CoRR, 2021)

State-level Racially Motivated Hate Crimes Contrast Public Opinion on the #StopAsianHate and #StopAAPIHate Movement. - Hanjia Lyu; Yangxin Fan; Ziyu Xiong; Mayya Komisarchik; Jiebo Luo 001 (CoRR, 2021)

Both Rates of Fake News and Fact-based News on Twitter Negatively Correlate with the State-level COVID-19 Vaccine Uptake. - Hanjia Lyu; Zihe Zheng; Jiebo Luo 001 (CoRR, 2021)

Social Disparities in Oral Health in America amid the COVID-19 Pandemic. - Yangxin Fan; Hanjia Lyu; Jin Xiao; Jiebo Luo 001 (CoRR, 2021)

What Contributes to a Crowdfunding Campaign's Success? Evidence and Analyses from GoFundMe Data. - Xupin Zhang; Hanjia Lyu; Jiebo Luo 001 (J. Soc. Comput., 2021)

Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19. - Hanjia Lyu; Long Chen; Yu Wang 041; Jiebo Luo 001 (IEEE Trans. Big Data, 2021)

Doctors vs. Nurses: Understanding the Great Divide in Vaccine Hesitancy among Healthcare Workers. - Sajid Hussain Rafi Ahamed; Shahid Shakil; Hanjia Lyu; Xinping Zhang; Jiebo Luo 001 (IEEE Big Data, 2022)

Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis. - Wei Zhu 015; Zihe Zheng; Haitian Zheng; Hanjia Lyu; Jiebo Luo 001 (ICPR, 2022)

Taking sides: Public Opinion over the Israel-Palestine Conflict in 2021. - Arsal Imtiaz; Danish Khan; Hanjia Lyu; Jiebo Luo 001 (ICWSM Workshops, 2022)

Look behind the Censorship: Reposting-User Characterization and Muted-Topic Restoration. - Yichi Qian; Qiyi Shan; Hanjia Lyu; Jiebo Luo 001 (ICWSM Workshops, 2022)

Understanding Political Polarization via Jointly Modeling Users, Connections and Multimodal Contents on Heterogeneous Graphs. - Hanjia Lyu; Jiebo Luo 001 (ACM Multimedia, 2022)

"Ban the Chinese spyware!": A Fine-Grained Analysis of Public Opinion toward Chinese Technology Companies on Reddit. - Enting Zhou; Yurong Liu; Hanjia Lyu; Jiebo Luo 001 (CoRR, 2022)

Understanding Political Polarization on Social Platforms by Jointly Modeling Users, Connections and Multi-modal Post Contents in Heterogeneous Graphs. - Hanjia Lyu; Jiebo Luo 001 (CoRR, 2022)

Causal Inference via Nonlinear Variable Decorrelation for Healthcare Applications. - Junda Wang; Weijian Li 001; Han Wang; Hanjia Lyu; Caroline Thirukumaran; Addisu Mesfin; Jiebo Luo 001 (CoRR, 2022)

Improving Visual-textual Sentiment Analysis by Fusing Expert Features. - Junyu Chen 005; Jie An 002; Hanjia Lyu; Jiebo Luo 001 (CoRR, 2022)

Understanding Divergent Framing of the Supreme Court Controversies: Social Media vs. News Outlets. - Jinsheng Pan; Zichen Wang; Weihong Qi; Hanjia Lyu; Jiebo Luo 001 (IEEE Big Data, 2023)

A Fine-Grained Analysis of Public Opinion toward Chinese Technology Companies on Reddit. - Enting Zhou; Yurong Liu; Hanjia Lyu; Jiebo Luo 001 (IEEE Big Data, 2023)

Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning. - Jingyang Lin; Junyu Chen 005; Hanjia Lyu; Igor Khodak; Divya Chhabra; Colby L. Day Richardson; Irina Prelipcean; Andrew M. Dylag; Jiebo Luo 001 (ICDH, 2023)

Applying Machine Learning to Predict Esophageal Cancer Recurrence after Esophagectomy. - Hanjia Lyu; Kevin Kapcio; Kyle Purrman; Christian Peyre; Carolyn Jones; Michal Lada; Jiebo Luo 001 (ICDH, 2023)

How Art-like are AI-generated Images? An Exploratory Study. - Junyu Chen 005; Jie An 002; Hanjia Lyu; Jiebo Luo 001 (MCGE@MM, 2023)

Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking. - Mohammad Mahdi Kamani; Yuhang Yao; Hanjia Lyu; Zhongwei Cheng; Lin Chen 021; Liangju Li; Carlee Joe-Wong; Jiebo Luo 001 (NeurIPS, 2023)

Dismantling Hate: Understanding Hate Speech Trends Against NBA Athletes. - Edinam Kofi Klutse; Samuel Nuamah-Amoabeng; Hanjia Lyu; Jiebo Luo 001 (SBP-BRiMS, 2023)

Bias or Diversity? Unraveling Semantic Discrepancy in U.S. News Headlines. - Jinsheng Pan; Weihong Qi; Zichen Wang; Hanjia Lyu; Jiebo Luo 001 (CoRR, 2023)

Learning to Evaluate the Artness of AI-generated Images. - Junyu Chen 005; Jie An 002; Hanjia Lyu; Jiebo Luo 001 (CoRR, 2023)

LLM-Rec: Personalized Recommendation via Prompting Large Language Models. - Hanjia Lyu; Song Jiang 002; Hanqing Zeng; Yinglong Xia; Jiebo Luo 001 (CoRR, 2023)

Mixture of Weak & Strong Experts on Graphs. - Hanqing Zeng; Hanjia Lyu; Diyi Hu; Yinglong Xia; Jiebo Luo 001 (CoRR, 2023)

Understanding Public Opinion Toward the #StopAsianHate Movement and the Relation With Racially Motivated Hate Crimes in the US. - Hanjia Lyu; Yangxin Fan; Ziyu Xiong; Mayya Komisarchik; Jiebo Luo 001 (IEEE Trans. Comput. Soc. Syst., 2023)

SoMeLVLM: A Large Vision Language Model for Social Media Processing. - Xinnong Zhang; Haoyu Kuang; Xinyi Mou; Hanjia Lyu; Kun Wu; Siming Chen 001; Jiebo Luo 001; Xuanjing Huang 001; Zhongyu Wei (ACL (Findings), 2024)

Semantics Preserving Emoji Recommendation with Large Language Models. - Zhongyi Qiu; Kangyi Qiu; Hanjia Lyu; Wei Xiong 008; Jiebo Luo 001 (IEEE Big Data, 2024)

In the Eyes of the Bystander: Are the Stances on Different Conflicts Correlated? - Yiyao Tao; Hengyu Zhang; Babli Dey; Selenge Tulga; Hanjia Lyu; Jiebo Luo 001 (IEEE Big Data, 2024)

CRTRE: Causal Rule Generation with Target Trial Emulation Framework. - Junda Wang; Weijian Li 001; Han Wang; Hanjia Lyu; Caroline Thirukumaran; Addisu Mesfin; Hong Yu; Jiebo Luo 001 (IEEE Big Data, 2024)

Creating an authoring tool for K-12 teachers to design ML-supported scientific inquiry learning. - Xiaofei Zhou; Jingwan Tang; Hanjia Lyu; Xinyi Liu 001; Zhenhao Zhang; Lichen Qin; Fiona Au; Advait Sarkar; Zhen Bai (CHI Extended Abstracts, 2024)

Towards Advancing Text-Based User and Item Representation in Personalized Recommendation. - Hanjia Lyu (CIKM, 2024)

Mixture of Weak and Strong Experts on Graphs. - Hanqing Zeng; Hanjia Lyu; Diyi Hu; Yinglong Xia; Jiebo Luo 001 (ICLR, 2024)

A Benchmark and Chain-of-Thought Prompting Strategy for Large Multimodal Models with Multiple Image Inputs. - Daoan Zhang; Junming Yang 001; Hanjia Lyu; Zijian Jin; Yuan Yao; Mingkai Chen; Jiebo Luo 001 (ICPR (18), 2024)

Computational Assessment of Hyperpartisanship in News Titles. - Hanjia Lyu; Jinsheng Pan; Zichen Wang; Jiebo Luo 001 (ICWSM, 2024)

Human vs. LMMs: Exploring the Discrepancy in Emoji Interpretation and Usage in Digital Communication. - Hanjia Lyu; Weihong Qi; Zhongyu Wei; Jiebo Luo 001 (ICWSM, 2024)

Holistic Visual-Textual Sentiment Analysis with Prior Models. - Junyu Chen 005; Jie An 002; Hanjia Lyu; Christopher Kanan; Jiebo Luo 001 (MIPR, 2024)

LLM-Rec: Personalized Recommendation via Prompting Large Language Models. - Hanjia Lyu; Song Jiang 002; Hanqing Zeng; Yinglong Xia; Qifan Wang 001; Si Zhang; Ren Chen; Christopher Leung; Jiajie Tang; Jiebo Luo 001 (NAACL-HLT (Findings), 2024)

Unifying Local and Global Knowledge: Empowering Large Language Models as Political Experts with Knowledge Graphs. - Xinyi Mou; Zejun Li; Hanjia Lyu; Jiebo Luo 001; Zhongyu Wei (WWW, 2024)

CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputs. - Daoan Zhang; Junming Yang 001; Hanjia Lyu; Zijian Jin; Yuan Yao; Mingkai Chen; Jiebo Luo 001 (CoRR, 2024)

Harnessing GPT-4V(ision) for Insurance: A Preliminary Exploration. - Chenwei Lin; Hanjia Lyu; Jiebo Luo 001; Xian Xu (CoRR, 2024)

INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance. - Chenwei Lin; Hanjia Lyu; Xian Xu; Jiebo Luo 001 (CoRR, 2024)

Retrieval Augmentation via User Interest Clustering. - Hanjia Lyu; Hanqing Zeng; Yinglong Xia; Ren Chen; Jiebo Luo 001 (CoRR, 2024)

X-Reflect: Cross-Reflection Prompting for Multimodal Recommendation. - Hanjia Lyu; Ryan A. Rossi; Xiang Chen; Md. Mehrab Tanjim; Stefano Petrangeli; Somdeb Sarkhel; Jiebo Luo 001 (CoRR, 2024)

ElectionSim: Massive Population Election Simulation Powered by Large Language Model Driven Agents. - Xinnong Zhang; Jiayu Lin; Libo Sun; Weihong Qi; Yihang Yang; Yue Chen; Hanjia Lyu; Xinyi Mou; Siming Chen 001; Jiebo Luo 001; Xuanjing Huang 001; Shiping Tang; et al. (CoRR, 2024)

Personalized Multimodal Large Language Models: A Survey. - Junda Wu; Hanjia Lyu; Yu Xia 007; Zhehao Zhang 001; Joe Barrow; Ishita Kumar; Mehrnoosh Mirtaheri; Hongjie Chen 003; Ryan A. Rossi; Franck Dernoncourt; Tong Yu 001; Ruiyi Zhang 002; et al. (CoRR, 2024)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (CoRR, 2024)

Human behavior in the time of COVID-19: Learning from big data. - Hanjia Lyu; Arsal Imtiaz; Yufei Zhao; Jiebo Luo 001 (Frontiers Big Data, 2024)

Excitements and concerns in the post-ChatGPT era: Deciphering public perception of AI through social media analysis. - Weihong Qi; Jinsheng Pan; Hanjia Lyu; Jiebo Luo 001 (Telematics Informatics, 2024)

Learning to Evaluate the Artness of AI-Generated Images. - Junyu Chen 005; Jie An 002; Hanjia Lyu; Christopher Kanan; Jiebo Luo 001 (IEEE Trans. Multim., 2024)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (ACL (Findings), 2025)

From Selection to Generation: A Survey of LLM-based Active Learning. - Yu Xia 007; Subhojyoti Mukherjee; Zhouhang Xie; Junda Wu; Xintong Li 001; Ryan Aponte; Hanjia Lyu; Joe Barrow; Hongjie Chen 003; Franck Dernoncourt; Branislav Kveton; Tong Yu 001; et al. (ACL (1), 2025)

Empower Secondary School Teachers to Create ML-Supported Inquiry-Based Learning Activities. - Xiaofei Zhou; Hanjia Lyu; Yuxin Sa; Mengfan Li; Advait Sarkar; Jiebo Luo 001; Michael Daley; Zhen Bai (AIED (1), 2025)

Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection. - Jinfa Huang; Jinsheng Pan; Zhongwei Wan; Hanjia Lyu; Jiebo Luo 001 (COLING, 2025)

Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese. - Hanjia Lyu; Jiebo Luo 001; Jian Kang 008; Allison Koenecke (FAccT, 2025)

Representation Bias in Political Sample Simulations with Large Language Models. - Weihong Qi; Hanjia Lyu; Jiebo Luo 001 (WWW (Companion Volume), 2025)

Irony in Emojis: A Comparative Study of Human and LLM Interpretation. - Yawen Zheng; Hanjia Lyu; Jiebo Luo 001 (CoRR, 2025)

Can LLMs Simulate Social Media Engagement? A Study on Action-Guided Response Generation. - Zhongyi Qiu; Hanjia Lyu; Wei Xiong 008; Jiebo Luo 001 (CoRR, 2025)

SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users. - Xinnong Zhang; Jiayu Lin; Xinyi Mou; Shiyue Yang; Xiawei Liu; Libo Sun; Hanjia Lyu; Yihang Yang; Weihong Qi; Yue Chen; Guanying Li; Ling Yan; et al. (CoRR, 2025)

GPT-4V(ision) as A Social Media Analysis Engine. - Hanjia Lyu; Jinfa Huang; Daoan Zhang; Yongsheng Yu; Xinyi Mou; Jinsheng Pan; Zhengyuan Yang; Zhongyu Wei; Jiebo Luo 001 (ACM Trans. Intell. Syst. Technol., 2025)