| 2026 | WWW | TAWRMAC: A Novel Dynamic Graph Representation Learning Method. | Soheila Farokhi, Xiaojun Qi, Hamid Karimi |
| 2025 | DSAA | Student-Perceived Cognitive Load of LLM-Generated Programming Exercises. | Muhammad Fawad Akbar Khan, Ludia Eka Feri, Ha Nguyen, Hamid Karimi |
| 2025 | KDD | BTS: A Comprehensive Benchmark for Tie Strength Prediction. | Xueqi Cheng, Catherine Yang, Yuying Zhao, Yu Wang, Hamid Karimi, Tyler Derr |
| 2024 | DSAA | Human Evaluation of GPT for Scalable Python Programming Exercise Generation. | Muhammad Fawad Akbar Khan, Max Ramsdell, Ha Nguyen, Hamid Karimi |
| 2024 | EDM | Assessing the Promise and Pitfalls of ChatGPT for Automated CS1-driven Code Generation. | Muhammad Fawad Akbar Khan, Max Ramsdell, Erik Falor, Hamid Karimi |
| 2024 | EDM | Navigating the Data-Rich Landscape of Online Learning: Insights and Predictions from ASSISTments. | Aswani Yaramala, Soheila Farokhi, Hamid Karimi |
| 2023 | DSAA | Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning. | Soheila Farokhi, Aswani Yaramala, Jiangtao Huang, Muhammad Fawad Akbar Khan, Xiaojun Qi, Hamid Karimi |
| 2023 | EDM | An Analysis of Diffusion of Teacher-curated Resources on Pinterest. | Hamid Karimi, Kaitlin Torphy Knake, Kenneth A. Frank |
| 2022 | DSAA | Enhancing Individual Fairness through Propensity Score Matching. | Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu |
| 2022 | ICMLA | Decision Boundaries of Deep Neural Networks. | Hamid Karimi, Tyler Derr |
| 2022 | ICMLA | A New Framework to Assess the Individual Fairness of Probabilistic Classifiers. | Muhammad Fawad Akbar Khan, Hamid Karimi |
| 2021 | ACL | The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. | Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang |
| 2021 | CIKM | Deep Adversarial Network Alignment. | Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang |
| 2020 | AIED | Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest. | Hamid Karimi, Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, Jiliang Tang |
| 2020 | EDM | Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network. | Hamid Karimi, Tyler Derr, Jiangtao Huang, Jiliang Tang |
| 2020 | WSDM | Decision Boundary of Deep Neural Networks: Challenges and Opportunities. | Hamid Karimi, Jiliang Tang |
| 2019 | NAACL | Learning Hierarchical Discourse-level Structure for Fake News Detection. | Hamid Karimi, Jiliang Tang |
| 2018 | COLING | Multi-Source Multi-Class Fake News Detection. | Hamid Karimi, Proteek Roy, Sari Saba-Sadiya, Jiliang Tang |
| 2018 | ICMI | Interpretable Multimodal Deception Detection in Videos. | Hamid Karimi |
| 2009 | DASC | Energy-Efficient Cluster-Based Scheme for Handling Node Failure in Real-Time Sensor Networks. | Hamid Karimi, Mehdi Kargahi, Nasser Yazdani |