The complete list of publications can be found here
* indicates equal contribution
Publications in 2022
Moore, Delaney, John Edwards, Hamid Karimi, Rajiv Khadka, and Paul Bodily. "Temporal Abstract Syntax Trees for Understanding Student Coding Thought Process." In 2022 Intermountain Engineering, Technology and Computing (IETC), pp. 1-6. IEEE, 2022.
Karimi, Hamid, Kaitlin Torphy Knake, and Kenneth A Frank. "Teachers in Social Media: A Gender-aware Behavior Analysis." In 2022 IEEE International Conference on Big Data (Big Data), pp. 1842-1849. IEEE, 2022.
Karimi, Hamid, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, and Hui Liu. "Enhancing individual fairness through propensity score matching." In 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), pp. 1-10. IEEE, 2022.
Khan, Muhammad Fawad Akbar, and Hamid Karimi. "A New Framework to Assess the Individual Fairness of Probabilistic Classifiers." In 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 876-881. IEEE, 2022.
Karimi, Hamid, and Tyler Derr. "Decision boundaries of deep neural networks." In 2022 21st IEEE international conference on machine learning and applications (ICMLA), pp. 1085-1092. IEEE, 2022.
* indicates equal contribution
Publications in 2022
Moore, Delaney, John Edwards, Hamid Karimi, Rajiv Khadka, and Paul Bodily. "Temporal Abstract Syntax Trees for Understanding Student Coding Thought Process." In 2022 Intermountain Engineering, Technology and Computing (IETC), pp. 1-6. IEEE, 2022.Karimi, Hamid, Kaitlin Torphy Knake, and Kenneth A Frank. "Teachers in Social Media: A Gender-aware Behavior Analysis." In 2022 IEEE International Conference on Big Data (Big Data), pp. 1842-1849. IEEE, 2022.
Karimi, Hamid, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, and Hui Liu. "Enhancing individual fairness through propensity score matching." In 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), pp. 1-10. IEEE, 2022.
Khan, Muhammad Fawad Akbar, and Hamid Karimi. "A New Framework to Assess the Individual Fairness of Probabilistic Classifiers." In 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 876-881. IEEE, 2022.
Karimi, Hamid, and Tyler Derr. "Decision boundaries of deep neural networks." In 2022 21st IEEE international conference on machine learning and applications (ICMLA), pp. 1085-1092. IEEE, 2022.
Publications in 2021
Derr, Tyler, Hamid Karimi, Xiaorui Liu, Jiejun Xu, and Jiliang Tang. "Deep adversarial network alignment." In Proceedings of the 30th ACM international conference on information & knowledge management, pp. 352-361. 2021.Liu, Haochen, Wei Jin, Hamid Karimi, Zitao Liu, and Jiliang Tang. "The authors matter: Understanding and mitigating implicit bias in deep text classification." arXiv preprint arXiv:2105.02778 (2021).
Knake, Kaitlin Torphy, Hamid Karimi, Sihua Hu, Kenneth A Frank, and Jiliang Tang. "Educational Research in the Twenty-First Century: Leveraging Big Data to Explore Teachers’ Professional Behavior and Educational Resources Accessed within Pinterest." The Elementary School Journal 122, no. 1 (2021): 86-111.
Karimi, Hamid, Jiliang Tang, Xochitl Weiss, and Jiangtao Huang. "Automatic Identification of Teachers in Social Media using Positive Unlabeled Learning." In 2021 IEEE International Conference on Big Data (Big Data), pp. 643-652. IEEE, 2021.
Karimi*, Hamid, Aaron Brookhouse, Tyler Derr, H Russell Bernard, and Jiliang Tang. "Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the US Presidential Primaries." In Proceedings of the 32nd ACM Conference on Hypertext and Social Media, pp. 57-66, 2021.
Karimi, Hamid. "Teachers in social media: a data science perspective." PhD diss., Michigan State University, 2021.
Publications in 2020
Karimi*, Hamid, Jiangtao Huang*, and Tyler Derr. "A deep model for predicting online course performance." In AAAI 2020 Workshop on AI in Education, 2020.Karimi, Hamid, Jiangtao Huang, and Tyler Derr. "A Deep Model for Predicting Online Course Performance." In The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Workshop on Artificial Intelligence for, 2020.
Karimi, Hamid, Tyler Derr, Kaitlin T Torphy, Kenneth A Frank, and Jiliang Tang. "Towards improving sample representativeness of teachers on online social media: A case study on pinterest." In Artificial Intelligence in Education: 21st International Conference, AIED 2020, Ifrane, Morocco, July 6--10, 2020, Proceedings, Part II 21, pp. 130-134. Springer International Publishing, 2020.
Karimi, Hamid, Tyler Derr, Jiangtao Huang, and Jiliang Tang. "Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network." In The 13th International Conference on Educational Data Mining (EDM 2020), pp. 444-450. 2020.
Karimi, Hamid, Kaitlin T Torphy, Tyler Derr, Kenneth A Frank, and Jiliang Tang. "Characterizing teacher connections in online social media: A case study on pinterest." In Proceedings of the Seventh ACM Conference on Learning@ Scale, pp. 249-252. 2020.
Karimi, Hamid, Kaitlin T Torphy, Tyler Derr, Kenneth A Frank, and Jiliang Tang. "Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest." In TALE 2020, 2020.
Karimi, Hamid, and Jiliang Tang. "Decision boundary of deep neural networks: Challenges and opportunities." In Proceedings of the 13th International Conference on Web Search and Data Mining, pp. 919-920. 2020.
Publications in 2019
Karimi, Hamid, Jiangtao Huang, and Tyler Derr. "A deep model for predicting online course performance." In AAAI 2020 Workshop on AI in Education, 2020.Karimi, Hamid, and Jiliang Tang. "Learning hierarchical discourse-level structure for fake news detection." In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, pp. 3432-3442. 2019.
Karimi*, Hamid, Tyler Derr*, Aaron Brookhouse, and Jiliang Tang. "Multi-factor congressional vote prediction." In Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 266-273. 2019.
Karimi, Hamid, Tyler Derr, Kaitlin T Torphy, Kenneth A Frank, and Jiliang Tang. "A roadmap for incorporating online social media in educational research." Teachers College Record 121, no. 14 (2019): 1-24.
Karimi, Hamid, Tyler Derr, and Jiliang Tang. "Characterizing the decision boundary of deep neural networks." arXiv preprint arXiv:1912.11460 (2019).
Publications in 2018
Karimi, Hamid, Jiangtao Huang, and Tyler Derr. "A deep model for predicting online course performance." In AAAI 2020 Workshop on AI in Education, 2020.Karimi, Hamid. 2018. “Interpretable Multimodal Deception Detection in Videos.” In Proceedings of the 20th ACM International Conference on Multimodal Interaction, 511–515.
Karimi, Hamid, Courtland VanDam, Liyang Ye, and Jiliang Tang. 2018. “End-to-End Compromised Account Detection.” In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 314–321. IEEE.
Best Paper Award
VanDam, Courtland, Pang-Ning Tan, Jiliang Tang, and Hamid Karimi. 2018. “Cadet: A Multi-View Learning Framework for Compromised Account Detection on Twitter.” In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 471–478. IEEE.
Karimi, Hamid, Jiliang Tang, and Yanen Li. 2018. “Toward End-to-End Deception Detection in Videos.” In 2018 IEEE International Conference on Big Data (Big Data), 1278–1283. IEEE.
Karimi, Hamid, Proteek Roy, Sari Saba-Sadiya, and Jiliang Tang. 2018. “Multi-Source Multi-Class Fake News Detection.” In Proceedings of the 27th International Conference on Computational Linguistics, 1546–1557.