| 2026 | ACL | Dash-M5H: An Interactive Dashboard for Multi-Modal, Multi-Model Mental Health Assessment. | Raymond Alavo, Xinyuan Zhang, Gemza Ademaj, Junhui Cai, Hyeokhyen Kwon, Robert O. Cotes, Gari D. Clifford, Ahmed Abbasi |
| 2026 | ACL | Generalization or Memorization? Multi-Agent vs. Baseline LLMs and AutoML Models for Tabular Classification. | Aida Sanatizadeh, Sorouralsadat Fatemi, Reza Mousavi, Ahmed Abbasi |
| 2026 | ACL | Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks. | Guangwei Zhang, Jianing Zhu, Cheng Qian, Neil Zhenqiang Gong, Rada Mihalcea, Zhaozhuo Xu, Jingrui He, Jiaqi W. Ma, Chaowei Xiao, Bo Li, Ahmed Abbasi, Dongwon Lee, Heng Ji, Denghui Zhang |
| 2025 | ACL | Textagon: Boosting Language Models with Theory-guided Parallel Representations. | John P. Lalor, Ruiyang Qin, David G. Dobolyi, Ahmed Abbasi |
| 2025 | EMNLP | Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context. | Rushi Wang, Jiateng Liu, Cheng Qian, Yifan Shen, Yanzhou Pan, Zhaozhuo Xu, Ahmed Abbasi, Heng Ji, Denghui Zhang |
| 2025 | ICIS | Designing Support for Sensemaking in Multimodal, Multi-model Mental Health Assessments. | Gemza Ademaj, Xinyuan Zhang, Ahmed Abbasi, Saonee Sarker, Suprateek Sarker |
| 2025 | ICIS | Cultural Artifacts, Tribal Heterogeneity, and Language Models. | Kezia Oketch, John P. Lalor, Ahmed Abbasi |
| 2025 | ICIS | Empirical Bayes Tensor Decomposition: A Holistic and Interpretable Representation of Digital Trace Patterns. | Xinyuan Zhang, Jeff Cai, Jingjing Li, Ahmed Abbasi |
| 2025 | NAACL | No Simple Answer to Data Complexity: An Examination of Instance-Level Complexity Metrics for Classification Tasks. | Ryan A. Cook, John P. Lalor, Ahmed Abbasi |
| 2024 | ASPDAC | FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models : (Invited Paper). | Ruiyang Qin, Yuting Hu, Zheyu Yan, Jinjun Xiong, Ahmed Abbasi, Yiyu Shi |
| 2024 | DAC | Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis. | Ruiyang Qin, Jun Xia, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Peipei Zhou, Jingtong Hu, Yiyu Shi |
| 2024 | EMNLP | Exploring the Relationship between In-Context Learning and Instruction Tuning. | Hanyu Duan, Yixuan Tang, Yi Yang, Ahmed Abbasi, Kar Yan Tam |
| 2024 | ICCAD | Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures. | Ruiyang Qin, Zheyu Yan, Dewen Zeng, Zhenge Jia, Dancheng Liu, Jianbo Liu, Ahmed Abbasi, Zhi Zheng, Ningyuan Cao, Kai Ni, Jinjun Xiong, Yiyu Shi |
| 2022 | ACL | Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts. | Yue Guo, Yi Yang, Ahmed Abbasi |
| 2022 | CIKM | Deepfake Audio Detection Via Feature Engineering And Machine Learning. | Farkhund Iqbal, Ahmed Abbasi, Abdul Rehman Javed, Zunera Jalil, Jamal N. Al-Karaki |
| 2022 | EMNLP | BARLE: Background-Aware Representation Learning for Background Shift Out-of-Distribution Detection. | Hanyu Duan, Yi Yang, Ahmed Abbasi, Kar Yan Tam |
| 2022 | NAACL | Benchmarking Intersectional Biases in NLP. | John Lalor, Yi Yang, Kendall Smith, Nicole Forsgren, Ahmed Abbasi |
| 2021 | EMNLP | Constructing a Psychometric Testbed for Fair Natural Language Processing. | Ahmed Abbasi, David G. Dobolyi, John P. Lalor, Richard G. Netemeyer, Kendall Smith, Yi Yang |
| 2021 | ICIS | The Illusion of Certainty and Data-Driven Decision Making in Emergent Situations. | Nicholas Berente, John P. Lalor, Sriram Somanchi, Ahmed Abbasi |
| 2020 | ICDM | Using Deep Generative Models to Boost Forecasting: A Phishing Prediction Case Study. | Syed Hasan Amin Mahmood, Ahmed Abbasi |
| 2020 | ISI | An Ordinal Approach to Modeling and Visualizing Phishing Susceptibility. | David G. Dobolyi, Ahmed Abbasi, F. Mariam Zahedi, Anthony Vance |
| 2020 | ISI | Phishcasting: Deep Learning for Time Series Forecasting of Phishing Attacks. | Syed Hasan Amin Mahmood, Syed Mustafa Ali Abbasi, Ahmed Abbasi, Fareed Zaffar |
| 2016 | ISI | Phishing susceptibility: The good, the bad, and the ugly. | Ahmed Abbasi, F. Mariam Zahedi, Yan Chen |
| 2016 | ISI | PhishMonger: A free and open source public archive of real-world phishing websites. | David G. Dobolyi, Ahmed Abbasi |
| 2014 | ISI | Descriptive Analytics: Examining Expert Hackers in Web Forums. | Ahmed Abbasi, Weifeng Li, Victor A. Benjamin, Shiyu Hu, Hsinchun Chen |
| 2014 | LREC | Benchmarking Twitter Sentiment Analysis Tools. | Ahmed Abbasi, Ammar Hassan, Milan Dhar |
| 2013 | ISI | Evaluating text visualization: An experiment in authorship analysis. | Victor A. Benjamin, Wingyan Chung, Ahmed Abbasi, Joshua Chuang, Catherine A. Larson, Hsinchun Chen |
| 2012 | ISI | Impact of anti-phishing tool performance on attack success rates. | Ahmed Abbasi, Fatemeh Zahedi, Yan Chen |
| 2012 | ISI | Exploratory experiments to identify fake websites by using features from the network stack. | Jason Koepke, Siddharth Kaza, Ahmed Abbasi |
| 2011 | ICDM | Boosting Unsupervised Additive Clustering Using Cluster-Wise Optimization and Multi-label Learning. | Stephen L. France, Ahmed Abbasi |
| 2008 | ISI | Developing ideological networks using social network analysis and writeprints: A case study of the international Falun Gong movement. | Yi-Da Chen, Ahmed Abbasi, Hsinchun Chen |
| 2007 | ISI | Affect Intensity Analysis of Dark Web Forums. | Ahmed Abbasi, Hsinchun Chen |
| 2007 | ISI | Interaction Coherence Analysis for Dark Web Forums. | Tianjun Fu, Ahmed Abbasi, Hsinchun Chen |
| 2006 | ISI | Visualizing Authorship for Identification. | Ahmed Abbasi, Hsinchun Chen |
| 2005 | ISI | Applying Authorship Analysis to Arabic Web Content. | Ahmed Abbasi, Hsinchun Chen |