Lizhou Fan
Orcid: 0000-0002-7962-9113
According to our database1,
Lizhou Fan
authored at least 31 papers
between 2020 and 2025.
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Bibliography
2025
Skip-AttSeqNet: Leveraging skip connection and attention-driven Seq2seq model to enhance eye movement event detection in Parkinson's disease.
Biomed. Signal Process. Control., 2025
2024
Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis.
J. Heal. Informatics Res., December, 2024
ACM Trans. Intell. Syst. Technol., October, 2024
Educ. Inf. Technol., June, 2024
"HOT" ChatGPT: The Promise of ChatGPT in Detecting and Discriminating Hateful, Offensive, and Toxic Comments on Social Media.
ACM Trans. Web, May, 2024
Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation.
CoRR, 2024
CoRR, 2024
Toward satisfactory public accessibility: A crowdsourcing approach through online reviews to inclusive urban design.
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.
CoRR, 2024
Characterizing Online Toxicity During the 2022 Mpox Outbreak: A Computational Analysis of Topical and Network Dynamics.
CoRR, 2024
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities.
CoRR, 2024
A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs).
CoRR, 2024
BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Leveraging multimodal deep learning framework and a comprehensive audio-visual dataset to advance Parkinson's detection.
Biomed. Signal Process. Control., 2024
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars.
CoRR, 2023
CoRR, 2023
Mining Semantic Relations in Data References to Understand the Roles of Research Data in Academic Literature.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2023
2022
Subdivisions and crossroads: Identifying hidden community structures in a data archive's citation network.
Quant. Sci. Stud., 2022
ACM Journal on Computing and Cultural Heritage, 2022
Algorithmic Close Reading: Using Semantic Triplets to Index and Analyze Agency in Holocaust Testimonies.
Digit. Humanit. Q., 2022
Librarian-in-the-Loop: A Natural Language Processing Paradigm for Detecting Informal Mentions of Research Data in Academic Literature.
CoRR, 2022
A Natural Language Processing Pipeline for Detecting Informal Data References in Academic Literature.
Proceedings of the Crisis, Transition, Resilience: Re-imagining an information resilient society, 2022
2021
#StopAsianHate: Archiving and Analyzing Twitter Discourse in the Wake of the 2021 Atlanta Spa Shootings.
Proceedings of the Information: Equity, Diversity, Inclusion, Justice, and Relevance, 2021
2020
Proceedings of the 15th Annual International Conference of the Alliance of Digital Humanities Organizations, 2020
Using a Three-step Social Media Similarity (TSMS) Mapping Method to Analyze Controversial Speech Relating to COVID-19 in Twitter Collections.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Stigmatization in social media: Documenting and analyzing hate speech for COVID -19 on Twitter.
Proceedings of the Information for a Sustainable World: Addressing Society's Grand Challenges, 2020