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(2024) L. Fan, L. Li, L. Hemphill. Characterizing online toxicity during the 2022 Mpox outbreak: A computational analysis of topical and network dynamics. Journal of Medical Internet Research (JMIR) (accepted).
(2024) S. Hu, K. Wang, L. Li, Y. Zhao, Z. He, Y. Zhang. Multi-crowdsourced data fusion for modeling link-level traffic resilience to adverse weather events. International Journal of Disaster Risk Reduction.
(2024) H. Yu, L. Fan, L. Li, J. Zhou, Z. Ma, L. Xian, W. Hua, S. He, M. Jin, Y. Zhang, A. Gandhi, X. Ma. Large language models in biomedical and health informatics: A review with bibliometric analysis. Journal of Healthcare Informatics Research.
(2024) L. Fan, L. Li, Z. Ma, S. Lee, H. Yu, L. Hemphill. A bibliometric review of large language models research from 2017 to 2023. ACM Transactions on Intelligent Systems and Technology.
(2024) Z. Ma, L. Li, Y. Mao, Y. Wang, OG Patsy, M. Bensi, L. Hemphill, G. Baecher. Surveying the use of social media data and natural language processing techniques to investigate natural disasters. ASCE Natural Hazards Reviews.
(2024) Z. Ma, L. Li, L. Hemphill, G. Baecher. Investigating disaster response through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western U.S. wildfire season. Sustainable Cities and Society.
(2024) L. Li*, L. Fan, S. Atreja, L. Hemphill. “HOT” ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media. ACM Transactions on the Web.
(2023) L. Li, M. Bensi, G. Baecher. Exploring the potential of social media crowdsourcing for post-earthquake damage assessment. International Journal of Disaster Risk Reduction.
(2023) Z. Gao, L. Li^, S. Ma, Q. Wang, L. Hemphill, R. Xu. Examining the potential of ChatGPT on biomedical information retrieval: Fact-checking drug-disease association. Annals of Biomedical Engineering.
(2023) L. Li*, Z. Ma, Z. Fan, S. Lee, H. Yu, L. Hemphill. ChatGPT in education: A discourse analysis of worries and concerns on social media. Education and Information Technologies.
(2023) L. Li, Y. Wang, Q. Cui. What caused the Notre Dame fire: Explore the potential of social media data to support the investigation of man-made disasters. ASCE Journal of Management in Engineering.
(2022) L. Li, Y. Mao, Y. Wang, Z. Ma. How has airport service quality changed in the context of COVID-19: A data-driven crowdsourcing approach based on sentiment analysis. Journal of Air Transport Management.
(2022) L. Li, J. Zhou, Z. Ma, M. Bensi, M. Hall, G. Baecher. Dynamic assessment of COVID-19 vaccine acceptance leveraging social media data. Journal of Biomedical Informatics.
(2022) L. Li, J. Johnson, W. Aarhus, D. Shah. Key factors in MOOC pedagogy based on NLP sentiment analysis of learner reviews. Computers & Education.
(2021) L. Li, Z. Ma, T. Cao. Data-driven investigations of using social media to aid evacuations amid western United States wildfire season. Journal of Fire Safety.
(2021) L. Li, A. Erfani, Y. Wang, Q. Cui. Anatomy into the battle of supporting or opposing reopening amid the COVID-19 pandemic on Twitter: a temporal and spatial analysis. PLOS One.
(2021) L. Li, M Bensi, Q. Cui, G. Baecher, Y. Huang. Social media crowdsourcing for rapid damage assessment following a sudden-onset hazard event. International Journal of Information Management.
(2021) L. Li, Z. Ma, H. Lee, S. Lee. (2021) Can social media data be used to evaluate the risk of human interactions during the COVID-19 pandemic. International Journal of Disaster Risk Reduction.
(2020) L. Li*, Z. Ma, T. Cao. Leveraging social media data to study the community resilience of New York City to 2019 power outage. International Journal of Disaster Risk Reduction.
(2015) J. Li, B. Yang, D. Zhang, Q. Zhou, L. Li. Development of a multi-objective scheduling system for offshore projects based on hybrid non-dominated sorting genetic algorithm. Advances in Mechanical Engineering.
(2015) J. Li, L. Li^, M. Sun, B. Yin. Weight control system for offshore platform projects based on multi-agent system technology. Journal of Harbin Engineering.
(2024) D. Shu, M. Jin, C. Zhang, T. Chen, L. Li, Y. Zhang. XAttack: Counterfactual explainable prompt attack analysis on large language models. IEEE International Conference on Big Data. Washington DC, USA.
(2024) L. Dinh, L. Hong, C. Dumas, B. Patin, S. Ghosh, L. Li, C. Khoury. Social media and crisis informatics research in LIS. Proceedings of the Association for Information Science and Technology (ASIS&T). Calgary, Canada.
(2024) S. Lin, W. Hua, L. Li, C. Chang, L. Fan, J. Ji, H. Hua, J. Luo, Y. Zhang. BattleAgent: Multi-modal dynamic emulation on historical battles to complement historical analysis. Conference on Empirical Methods in Natural Language Processing (EMNLP) Demo Track. Miami, FL, USA
(2024) L. Fan, W. Hua, L. Li, H. Ling, Y. Zhang, L. Hemphill. NPHardEval: Dynamic benchmark on reasoning ability of large language models via complexity classes. Annual Meeting of the Association for Computational Linguistics (ACL). Bangkok, Thailand.
(2024) L. Xian, L. Li^, Y. Xu, Z. Zhang, L. Hemphill. Landscape of generative AI in global news: Topics, sentiments, and spatiotemporal analysis. The International AAAI Conference on Web and Social Media (ICWSM). Buffalo, New York, NY, USA.
(2023) L. Li, M. Bensi, Z. Ma, G. Baecher. Social media crowdsourcing for damage assessment following earthquakes. ASCE Geo-Risk 2023, Arlington, VA, USA.
(2023) L. Fan, S. Lafia, L. Li, F. Yang, L. Hemphill. DataChat: Prototyping a conversational agent for dataset search and visualization. Association for Information Science and Technology (ASIS&T). London, United Kingdom.
(2023) Z. Ma, L. Li, Y. Yuan, G. Baecher. Appraising situational awareness in social media data for wildfire response. ASCE Inspire, Arlington, VA, USA.
(2022) Z. Ma, R. Patev, L Li, G. Baecher. Missouri River system simulation. Proceedings of US Society on Dams Annual Conference, San Diego, CA, USA.
(2024) H. Ye, L. Li^, S. Hu, W. Zhan. Investigating community equity through franchised fast-food restaurants: A crowdsourcing approach using Google Map Reviews. Informs Annual Meeting (INFORMS). Seattle, WA, USA.
(2024) L. Li, Y Lu, S Hu, J. Liu, Z. Ma, M. Deng, Z. Han, G. Baecher, L. Hemphill. Assessing the damage of natural disasters using multimodal large language models and social media crowdsourcing. AGU Fall Meeting. Washington DC, USA.
(2024) Y. Zhu, Q. Hu, S. Hu, L. Li. Foundation model-based robust learning for earth science. AGU Fall Meeting. Washington DC, USA.
(2024) Z. Ma, L. Li, M. Bensi, G. Baecher. Epidemic model of Disaster Response in the Twitter Community: An Experiment with the 2020 Western U.S. Wildfire Season. AGU Fall Meeting. San Diego, CA, USA.
(2025) H.Yu, J. Zhou, L. Li, TL. Assimes, X. Ma, D. Bitterman, L. Fan. AIPatient: Simulating patients with EHRs and LLM powered agentic workflow. AAAI 2025 workshop on Advancing LLM-based Multi-Agent Collaboration (accepted).
(2025) J. Lee, T. Shang, D. Duong-tran, S. Yang, L. Li*, Shen Li. An Investigation of large language models in clinical triage: Promising capabilities, persistent racial and gender biases. AAAI 2025 workshop on Generative AI for Health (accepted).
(2013) The Software Copyright of the weight control system of offshore platform project: 2013SR075589, China.
(2013) The Software Copyright of the schedule management system of offshore platform project: 2013SR074240, China.
(2013) The Software Copyright of the cost management system of offshore platform project: 2013SR075733, China.
(2024) L. Li*, L. Dinh, S. Hu, L. Hemphill. Academic collaboration on large language model studies increases overall but varies across disciplines. Nature Computational Science.
(2024) L. Li*, S. Hu, Y. Dai, M. Deng, P. Momeni, G. Laverghetta, L. Fan, Z. Ma, X. Wang, S. Ma, J. Ligatti, L. Hemphill. Toward satisfactory public accessibility: A crowdsourcing approach through online reviews to inclusive urban design. ACM Transactions on Knowledge Discovery from Data (TKDD).
(2024) L. Li*, S. Hu, L. Dinh, L. Hemphill. Crowdsourced reviews reveal substantial disparities in public perceptions of parking. The Web Conference (WWW).
(2024) S. Atreja, J. Ashkinaze, L. Li, J. Mendelson, L. Hemphill. Prompt design matters for computational social science tasks but in unpredictable ways. The International AAAI Conference on Web and Social Media (ICWSM).
(2024) Z. Ma, G Hu, T. Lin, L. Li, S. Hu, L. Hagen, G. Baecher. Assessing response disparities in California Wildland-Urban-Interface cities using the compartmental model. Proceedings of the National Academy of Sciences (PNAS) Nexus.
(2024) S. Lin, W. Hua, L. Li, Y. Ouyang, J. Peng, B. Kaikhura, K. Zhou, T. Chen. Skeletonic speculative decoding. Annual Meeting of the Association for Computational Linguistics (ACL).
(2024) D. Shu, M. Jin, C. Zhang, L. Li, Z. Zhou, Y. Zhang. AttackEval: How to evaluate the effectiveness of jailbreak attacking on large language models. Annual AAAI Conference on Artificial Intelligence (AAAI).
(2024) J. Kim, L. Li, L. Hemphill. Communication strategies for improving team performance in ad-hoc virtual teams: Lessons from Dota 2. IEEE Transactions on Games.
(2024) W. Hua, K. Zhu, L. Li, F. Fan, S. Lin, M. Jin, H. Xue, Z. Li, J. Wang, Y. Zhang. Disentangling logic: The role of context in large language model reasoning capabilities. Conference on Neural Information Processing Systems (NeurIPS).
(2024) C. Zhang, X. Liu, M. Jin, Z. Zhang, L. Li, Z. Wang, W. Hua, D. Shu, S. Zhu, X. Jin, S. Li, M. Du, Y. Zhang. When AI meets finance (StockAgent): Large language model-based stock trading in simulated real-world environments. ACM Transactions on Intelligent Systems and Technology (TIST).
(2024) W. Hua, L. Fan, L. Li, K. Mei, J. Ji, Y. Ge, L. Hemphill, Y. Zhang. War and Peace: Large language model-based multi-agent simulation of world wars. International Conference on Learning Representations (ICLR).
(2024) L. Hemphill, L. Li, R. Burton, D. Jurgens. Reducing the rate of personal insults in social media with bystander bots. ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW).
(2024) W. Hua, O. Liu, L. Li, A. Amayuelas, J. Chen, L. Jiang, M. Jin, L. Fan, F. Sun, W. Wang, X. Wang, Y. Zhang. Game-theoretic LLM: Agent workflow for negotiation games. ArXiv.
(2024) H. Yu, J. Zhou, L. Li, S. Chen, J. Gallifant, A. Shi, X. Li, W. Hua, M. Jin, G. Chen, Y. Zhou, Z. Li, T. Gupte, M. Chen, Z. Azizi, Y. Zhang, T. Assimes, X. Ma, D Bitterman, L. Lu, L. Fan. AIPatient: Simulating patients with EHRs and LLM powered agentic workflow. ArXiv.
(2024) L. Li*, J. Zhou, Z. Gao, W. Hua, L. Fan, H. Yu, Y. Zhang, T. Assimes, L. Hemphill, S. Ma. A scoping review of using large language models (LLMs) to investigate electronic health records (EHRs). ArXiv.
(2024) L. Li*, S. Hu, A. Shaw, L. Hemphill. Crowdsourcing public attitudes toward local services through Google Maps: An urban density-based perspective. ArXiv.
(2024) L. Fan, W. Hua, X. Li, K. Zhu, M. Jin, L. Li, H. Ling, J. Chi, J. Wang, X. Ma, Y. Zhang, L. Hemphill. NPHardEval4V: A dynamic reasoning benchmark of multimodal large language models. ArXiv.
(2023) Z. Ma, L. Li, J. Johnson. Thriving in a pandemic: Lessons learned from students’ perceptions in a resilient university program seen through the CoI lens. ArXiv.
(2021) L. Li, L. Gao, J. Zhou, Z. Ma. Can social media data be utilized to enhance early warning: Retrospective analysis of the U.S. COVID-19 pandemic. MedRxiv.