Stigmatization in social media: Documenting and analyzing hate speech for COVID -19 on Twitter. - Lizhou Fan; Huizi Yu; Zhanyuan Yin (ASIST, 2020)

Using a Three-step Social Media Similarity (TSMS) Mapping Method to Analyze Controversial Speech Relating to COVID-19 in Twitter Collections. - Zhanyuan Yin; Lizhou Fan; Huizi Yu; Anne J. Gilliland (IEEE BigData, 2020)

Digital Humanities Methods for Analyzing Holocaust and Genocide Testimonies. - Todd Presner; Anna Bonazzi; Lizhou Fan; Gábor Tóth; Rachel Deblinger; David Shepard (DH, 2020)

#StopAsianHate: Archiving and Analyzing Twitter Discourse in the Wake of the 2021 Atlanta Spa Shootings. - Lizhou Fan; Huizi Yu; Anne J. Gilliland (ASIST, 2021)

A Natural Language Processing Pipeline for Detecting Informal Data References in Academic Literature. - Sara Lafia; Lizhou Fan; Libby Hemphill (ASIST, 2022)

Librarian-in-the-Loop: A Natural Language Processing Paradigm for Detecting Informal Mentions of Research Data in Academic Literature. - Lizhou Fan; Sara Lafia; David A. Bleckley; Elizabeth Moss; Andrea K. Thomer; Libby Hemphill (CoRR, 2022)

Algorithmic Close Reading: Using Semantic Triplets to Index and Analyze Agency in Holocaust Testimonies. - Lizhou Fan; Todd Presner (Digit. Humanit. Q., 2022)

Using Machine Learning to Enhance Archival Processing of Social Media Archives. - Lizhou Fan; Zhanyuan Yin; Huizi Yu; Anne J. Gilliland (ACM Journal on Computing and Cultural Heritage, 2022)

Subdivisions and crossroads: Identifying hidden community structures in a data archive's citation network. - Sara Lafia; Lizhou Fan; Andrea K. Thomer; Libby Hemphill (Quant. Sci. Stud., 2022)

Mining Semantic Relations in Data References to Understand the Roles of Research Data in Academic Literature. - Lizhou Fan; Sara Lafia; Morgan F. Wofford; Andrea K. Thomer; Elizabeth Yakel; Libby Hemphill (JCDL, 2023)

DataChat: Prototyping a Conversational Agent for Dataset Search and Visualization. - Lizhou Fan; Sara Lafia; Lingyao Li; Fangyuan Yang; Libby Hemphill (CoRR, 2023)

War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars. - Wenyue Hua; Lizhou Fan; Lingyao Li; Kai Mei; Jianchao Ji; Yingqiang Ge; Libby Hemphill; Yongfeng Zhang (CoRR, 2023)

NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes. - Lizhou Fan; Wenyue Hua; Lingyao Li; Haoyang Ling; Yongfeng Zhang (ACL (1), 2024)

Leveraging multimodal deep learning framework and a comprehensive audio-visual dataset to advance Parkinson's detection. - Cuihua Lv; Lizhou Fan; Haiyun Li; Jun Ma; Wenjing Jiang; Xin Ma (Biomed. Signal Process. Control., 2024)

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System. - Mingyu Jin; Qinkai Yu; Dong Shu; Chong Zhang 006; Lizhou Fan; Wenyue Hua; Suiyuan Zhu; Yanda Meng; Zhenting Wang; Mengnan Du; Yongfeng Zhang; Yanda Meng (CoRR, 2024)

NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language Models. - Lizhou Fan; Wenyue Hua; Xiang Li; Kaijie Zhu; Mingyu Jin; Lingyao Li; Haoyang Ling; Jinkui Chi; Jindong Wang 001; Xin Ma; Yongfeng Zhang (CoRR, 2024)

Large Language Models in Biomedical and Health Informatics: A Bibliometric Review. - Huizi Yu; Lizhou Fan; Lingyao Li; Jiayan Zhou; Zihui Ma; Lu Xian; Wenyue Hua; Sijia He; Mingyu Jin; Yongfeng Zhang; Ashvin Gandhi; Xin Ma (CoRR, 2024)

BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis. - Shuhang Lin; Wenyue Hua; Lingyao Li; Che-Jui Chang; Lizhou Fan; Jianchao Ji; Hang Hua; Mingyu Jin; Jiebo Luo 001; Yongfeng Zhang (CoRR, 2024)

A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs). - Lingyao Li; Jiayan Zhou; Zhenxiang Gao; Wenyue Hua; Lizhou Fan; Huizi Yu; Loni Hagen; Yongfeng Zhang; Themistocles L. Assimes; Libby Hemphill; Siyuan Ma (CoRR, 2024)

Characterizing Online Toxicity During the 2022 Mpox Outbreak: A Computational Analysis of Topical and Network Dynamics. - Lizhou Fan; Lingyao Li; Libby Hemphill (CoRR, 2024)

Enhancing Autism Spectrum Disorder Early Detection with the Parent-Child Dyads Block-Play Protocol and an Attention-enhanced GCN-xLSTM Hybrid Deep Learning Framework. - Xiang Li; Lizhou Fan; Hanbo Wu; Kunping Chen; Xiaoxiao Yu; Chao Che; Zhifeng Cai; Xiuhong Niu; Aihua Cao; Xin Ma (CoRR, 2024)

AIPatient: Simulating Patients with EHRs and LLM Powered Agentic Workflow. - Huizi Yu; Jiayan Zhou; Lingyao Li; Shan Chen 004; Jack Gallifant; Anye Shi; Xiang Li; Wenyue Hua; Mingyu Jin; Guang Chen; Yang Zhou; Zhao Li; et al. (CoRR, 2024)

Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation. - Shan Chen 004; Mingye Gao; Kuleen Sasse; Thomas Hartvigsen; Brian Anthony; Lizhou Fan; Hugo J. W. L. Aerts; Jack Gallifant; Danielle S. Bitterman (CoRR, 2024)

Game-theoretic LLM: Agent Workflow for Negotiation Games. - Wenyue Hua; Ollie Liu; Lingyao Li; Alfonso Amayuelas; Julie Chen; Lucas Jiang; Mingyu Jin; Lizhou Fan; Fei Sun; William Wang 001; Xintong Wang; Yongfeng Zhang (CoRR, 2024)

"HOT" ChatGPT: The Promise of ChatGPT in Detecting and Discriminating Hateful, Offensive, and Toxic Comments on Social Media. - Lingyao Li; Lizhou Fan; Shubham Atreja; Libby Hemphill (ACM Trans. Web, 2024)

ChatGPT in education: a discourse analysis of worries and concerns on social media. - Lingyao Li; Zihui Ma; Lizhou Fan; Sanggyu Lee; Huizi Yu; Libby Hemphill (Educ. Inf. Technol., 2024)

A Bibliometric Review of Large Language Models Research from 2017 to 2023. - Lizhou Fan; Lingyao Li; Zihui Ma; Sanggyu Lee; Huizi Yu; Libby Hemphill (ACM Trans. Intell. Syst. Technol., 2024)

Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis. - Huizi Yu; Lizhou Fan; Lingyao Li; Jiayan Zhou; Zihui Ma; Lu Xian; Wenyue Hua; Sijia He; Mingyu Jin; Yongfeng Zhang; Ashvin Gandhi; Xin Ma (J. Heal. Informatics Res., 2024)

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities. - Wenyue Hua; Kaijie Zhu; Lingyao Li; Lizhou Fan; Mingyu Jin; Shuhang Lin; Haochen Xue; Zelong Li; Jindong Wang 001; Yongfeng Zhang (ACL (Findings), 2025)

EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs. - Sam Lin; Wenyue Hua; Zhenting Wang; Mingyu Jin; Lizhou Fan; Yongfeng Zhang (NAACL (Long Papers), 2025)

Skip-AttSeqNet: Leveraging skip connection and attention-driven Seq2seq model to enhance eye movement event detection in Parkinson's disease. - Xin Wang; Lizhou Fan; Haiyun Li; Xiaochan Bi; Wenjing Jiang; Xin Ma (Biomed. Signal Process. Control., 2025)

Enhancing autism spectrum disorder early detection with parent-child dyads block-play protocol and attention-enhanced hybrid deep learning framework. - Xiang Li; Lizhou Fan; Hanbo Wu; Kunping Chen; Xiaoxiao Yu; Chao Che; Zhifeng Cai; Xiuhong Niu; Aihua Cao; Xin Ma 001 (Eng. Appl. Artif. Intell., 2025)

Toward satisfactory public accessibility: A crowdsourcing approach through online reviews to inclusive urban design. - Lingyao Li; Songhua Hu; Yinpei Dai; Min Deng; Parisa Momeni; Gabriel Laverghetta; Lizhou Fan; Zihui Ma; Xi Wang; Siyuan Ma; Jay Ligatti; Libby Hemphill (Comput. Environ. Urban Syst., 2025)

Toward Equitable Access: Leveraging Crowdsourced Reviews to Investigate Public Perceptions of Health Resource Accessibility. - Zhaoqian Xue; Guanhong Liu; Kai Wei; Chong Zhang 006; Qingcheng Zeng; Songhua Hu; Wenyue Hua; Lizhou Fan; Yongfeng Zhang; Lingyao Li (CoRR, 2025)

Medical Hallucinations in Foundation Models and Their Impact on Healthcare. - Yubin Kim 002; Hyewon Jeong; Shan Chen 004; Shuyue Stella Li; Mingyu Lu; Kumail Alhamoud; Jimin Mun; Cristina Grau; Minseok Jung; Rodrigo Gameiro; Lizhou Fan; Eugene Park; et al. (CoRR, 2025)