Publications

* equal contributor
† denotes undergraduate student researcher mentored by Dr. Jamell Dacon
‡ denotes graduate student researcher mentored by Dr. Jamell Dacon

♠️ - Plenary/Oral Presentation or Spotlight Talk

♣️ - Poster Presentation

NOTE: Lab publications are listed in reverse chronological order, with the most recent publications appearing first. (highly refereed works i.e., acceptance based on peer review of full paper/abstract presented as oral/spot light talks or poster presentation). Many of these publications were made possible by the dedicated work of rotating undergraduate/graduate researchers.

Conferences

♠️ Ricky Gole, Oluwasegun Soji-John, Gabriel Chambers, Sharon Iweha, Peyton Blake, and Jamell Dacon. “Diagnosing and Mitigating Modality Dominance in Multi-Omic Antidepressant Response Prediction”. In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2026. (acceptance rate 19.0%)

♠️ Ricky Gole‡* and Jamell Dacon. “Detecting and Mitigating Convergent Failures in Clinical LLM Ensembles”. In Proceedings of the 2026 IEEE International Conference on Data Mining (ICDM 2026). (acceptance rate 19.94%)

♠️ Opeyemi Adeniran, Jamell Dacon, Derrick Cook II, Temitope Ajibola, Kelechi Nwachukwu, Peter Taiwo, and Kofi Nyarko. “Beyond Accuracy: A Type-Aware Taxonomy and Evaluation Framework for Prompted Hallucination in Forensic Multimodal LLMs”. In Proceedings of the 2026 IEEE International Conference on Data Mining (ICDM 2026). (acceptance rate 19.94%)

♠️ DeBoris Leonard‡*, Ricky Gole‡* and Jamell Dacon. “Prescriptive Persistence: Quantifying the Breakdown in Human-AI Pedagogical Co-Regulation in ELL Writing Feedback”. In the Proceedings of the 13th ACM Conference on Learning at Scale (L@S) 2026. (acceptance rate 22.0%)

♠️ Ricky Gole ‡and Jamell Dacon. “The Semantic Gap in Behavioral Embeddings: Why Linear Methods Fail for Educational RAG in Mathematics”. In the Proceedings of 19th International Conference on Educational Data Mining (EDM) 2026. (acceptance rate 23.0%)

♠️ Jamell Dacon, et al. “Optimizing Insulin Dosing for Type 1 Diabetes with Thyroid Dysfunction Using Q-Learning: A Personalized Approach to Chronic Disease Management”. In the Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. (Best Paper Runner-up Award) (acceptance rate 26.0%)

♣️ Jamell Dacon, et al. “Manifold-Informed Cohort Discovery (MICD): A Framework for Uncovering Latent Risk Signals in Imbalanced Healthcare Data”. In the Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. (acceptance rate 26.0%)

♠️ Jamell Dacon, Ricky Gole‡, Anuva Nuzhat†, Holy Agyei†, Obaloluwa Wojuade†, Mikayla Brown†. “BIO-DQNA: Meta-Learning and Contrastive Reinforcement Learning for Personalized Comorbidity Management in Type 1 Diabetes and Hypertension”. In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. (acceptance rate 19.0%)

♣️ Mikayla Brown†, et al. “Towards Data-Driven Diabetes Care: Identifying Key Biomarkers and Risk Factors for Type 2 Diabetes through AI Models”. Society of Epidemiologic Research 2025 Mid-Year Meeting (SER), 2025. (Non-archival) (acceptance rate unknown)

♣️ Chelsea Minard†, et al. “Exploring Socioeconomic and Demographic Factors in Coronary Artery Disease: Using AI and Knowledge Graphs to Identify Healthcare Inequities”. Society of Epidemiologic Research 2025 Mid-Year Meeting (SER), 2025. (Non-archival) (acceptance rate unknown)

♣️ Chukwuemeka Obasi†, et al. “Improving Hypertension Prediction and Management through AI: A Focus on Socioeconomic, Environmental, and Demographic Influences”. Society of Epidemiologic Research 2025 Mid-Year Meeting (SER), 2025. (Non-archival) (acceptance rate unknown)

Prior Publications

♠ Jamell Dacon and Jiliang Tang. “Beyond Race and Gender: A Look at Sociodemographic Biases Toward Persons with Disabilities”. In Proceedings in the 9th International Conference on Computational Social Science, 2023. (IC2S2 2023) (Non-archival) (acceptance rate 77%)

♣ Jamell Dacon and Jiliang Tang. “Can We Identify and Dismantle ISMs that Plague Our Society: An Online Approach”. In Proceedings in the 9th International Conference on Computational Social Science (IC2S2), 2023. (Non-archival) (acceptance rate 77%)

♠ Jamell Dacon, Haochen Liu and Jiliang Tang. “Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference”. In Proceedings in the 29th International Conference on Computational Linguistics (COLING ), 2022. (acceptance rate 28.1%)

♠ Jamell Dacon. “Towards a Deep Multi-layered Dialectal Language Analysis: A Case Study of African-American English”. In Proceedings of the 2nd Workshop on Bridging Human-Computer Interaction and Natural Language Processing (NAACL), 2022. (acceptance rate unknown)

♠ Jamell Dacon, et. al. “Detecting Harmful Online Conversational Content towards LGBTQ+ Individuals”. Queer in AI Workshop (NAACL), 2022. (acceptance rate unknown)

♣ Jamell Dacon and Jiliang Tang. “Examining Word Representations between #BlackLivesMatter Movement and its Counter Protests: 2013 to 2020 ”. In Proceedings in the 8th International Conference on Computational Social Science (IC2S2), 2022.(Non-archival) (acceptance rate 24.1%)

♣ Jamell Dacon. “Understanding African American English on a Token-Level Beyond Accuracy”. In Proceedings in the 8th International Conference on Computational Social Science (IC2S2), 2022. (Non-archival) (acceptance rate 24.1%)

♠ Jamell Dacon, Haochen Liu and Jiliang Tang. “Using Inference to Mitigate Linguistic Bias Against African American English”. In Proceedings in the 8th International Conference on Computational Social Science (IC2S2), 2022. (Non-archival) (acceptance rate 24.1%)

♣ Jamell Dacon and Haochen Liu. “Detecting and Examining Gender Bias in News Articles”. In Proceedings in the 7th International Conference on Computational Social Science (IC2S2), 2021. (Non-archival) (acceptance

rate unknown)

♠ Jamell Dacon and Haochen Liu. “Does Gender Matter in the News? Detecting and Examining Gender Bias in News Articles”. In Companion Proceedings in the 30th International Web Conference (WWW), 2021. (acceptance rate 22%)

♠ Haochen Liu∗, Jamell Dacon∗, Wenqi Fan, Hui Liu, Zitao Liu, and Jiliang Tang. “Does Gender Matter? Towards Fairness in Dialogue Systems”. In Proceedings in the 28th International Conference on Computational Linguistics (COLING), 2020. (acceptance rate 33.4%)

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