| 2024 | ACL | Consistency Training by Synthetic Question Generation for Conversational Question Answering. | Hamed Hematian Hemati, Hamid Beigy |
| 2024 | ICWS | The Open Story Model (OSM): Transforming Big Data into Interactive Narratives. | Fariba Lotfi, Amin Beheshti, Mansour Jamzad, Hamid Beigy, Jia Wu, Philip S. Yu |
| 2023 | IJCNLP | Borderless Azerbaijani Processing: Linguistic Resources and a Transformer-based Approach for Azerbaijani Transliteration. | Reihaneh Zohrabi, Mostafa Masumi, Omid Ghahroodi, Parham AbedAzad, Hamid Beigy, Mohammad Hossein Rohban, Ehsaneddin Asgari |
| 2022 | COLING | Persian Natural Language Inference: A Meta-learning Approach. | Heydar Soudani, Mohammad Hassan Mojab, Hamid Beigy |
| 2022 | ICSOC | Image Data Augmentation and Convolutional Feature Map Visualizations in Computer Vision Applications. | Fariba Lotfi, Fatemeh Tohidian, Mansour Jamzad, Hamid Beigy |
| 2021 | ICSOC | Automatic Image Annotation Using Quantization Reweighting Function and Graph Neural Networks. | Fariba Lotfi, Mansour Jamzad, Hamid Beigy |
| 2016 | SAC | A support vector based approach for classification beyond the learned label space in data streams. | Poorya ZareMoodi, Sajjad Kamali Siahroudi, Hamid Beigy |
| 2014 | ICAISC | Exploiting Structural Information of Data in Active Learning. | Maryam Shadloo, Hamid Beigy, Siavash Haghiri |
| 2013 | CIKM | Expertise retrieval in bibliographic network: a topic dominance learning approach. | Seyyed Hadi Hashemi, Mahmood Neshati, Hamid Beigy |
| 2013 | ECIR | A Joint Classification Method to Integrate Scientific and Social Networks. | Mahmood Neshati, Ehsaneddin Asgari, Djoerd Hiemstra, Hamid Beigy |
| 2013 | SAC | An adaptive regression tree for non-stationary data streams. | Ameneh Gholipour, Mohammad Javad Hosseini, Hamid Beigy |
| 2013 | SAC | An algorithm for discovering clusters of different densities or shapes in noisy data sets. | Fereshte Khani, Mohammad Javad Hosseini, Ahmad Ali Abin, Hamid Beigy |
| 2012 | ADCS | Multi-aspect group formation using facility location analysis. | Mahmood Neshati, Hamid Beigy, Djoerd Hiemstra |
| 2012 | DaWaK | New Management Operations on Classifiers Pool to Track Recurring Concepts. | Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy |
| 2012 | HAIS | Semi-supervised Ensemble Learning of Data Streams in the Presence of Concept Drift. | Zahra Ahmadi, Hamid Beigy |
| 2011 | ICDM | Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection. | Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy |
| 2009 | CIDM | Dynamic classifier selection using clustering for spam detection. | Mehrnoush Famil Saeedian, Hamid Beigy |
| 2009 | ISNN | Using Strongly Connected Components as a Basis for Autonomous Skill Acquisition in Reinforcement Learning. | Seyed Jalal Kazemitabar, Hamid Beigy |
| 2008 | CEC | Investigating the Baldwin effect on Cartesian Genetic Programming efficiency. | Mehrdad Khatir, Amir-Hossein Jahangir, Hamid Beigy |
| 2008 | GECCO | Using PCA to improve evolutionary cellular automata algorithms. | Mehran Najafi, Hamid Beigy |
| 2008 | ICONIP | Automatic Discovery of Subgoals in Reinforcement Learning Using Strongly Connected Components. | Seyed Jalal Kazemitabar, Hamid Beigy |
| 2007 | AICCSA | Quine-McCluskey Classification. | Javad Safaei, Hamid Beigy |
| 2003 | IDEAL | A Self-Organizing Channel Assignment Algorithm: A Cellular Learning Automata Approach. | Hamid Beigy, Mohammad Reza Meybodi |
| 2003 | IDEAL | An Adaptive Uniform Fractional Guard Channel Algorithm: A Learning Automata Approach. | Hamid Beigy, Mohammad Reza Meybodi |
| 2000 | IDEAL | A Note on Learning Automata Based Schemes for Adaptation of BP Parameters. | Mohammad Reza Meybodi, Hamid Beigy |