| 2026 | ACL | Hemolix.TabGen: Optimized Table Generation from Documents. | Gyanendra Shrestha, Todor Ivanov, Karthik Vemireddy, Anna Pyayt, Michael N. Gubanov |
| 2026 | SIGMOD | Hemolix.Extract.V: LLM-based Information Extraction for Documents with AI-based Plan Selection. | Todor Ivanov, Gyanendra Shrestha, Karthik Vemireddy, Anna Pyayt, Michael N. Gubanov |
| 2025 | EDBT | Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting. | Gyanendra Shrestha, Chutian Jiang, Sai Akula, Vivek Yannam, Anna Pyayt, Michael N. Gubanov |
| 2025 | ICDE | Scalable Tabular Hierarchical Metadata Classification in Heterogeneous Structured Large-Scale Datasets Using Contrastive Learning. | Bhimesh Kandibedala, Gyanendra Shrestha, Anna Pyayt, Todor Ivanov, Michael N. Gubanov |
| 2024 | CIKM | CancerKG.ORG - A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care. | Michael N. Gubanov, Anna Pyayt, Aleksandra Karolak |
| 2023 | DOLAP | Learning Circular Tabular Embeddings for Heterogeneous Large-scale Structured Datasets. | Michael N. Gubanov, Anna Pyayt, Sophie Pavia |
| 2023 | DOLAP | Scalable Hierarchical Metadata Classification in Heterogeneous Large-scale Datasets. | Bhimesh Kandibedala, Anna Pyayt, Chris Caballero, Michael N. Gubanov |
| 2023 | EDBT | COVIDKG.ORG - a Web-scale COVID-19 Interactive, Trustworthy Knowledge Graph, Constructed and Interrogated for Bias using Deep-Learning. | Bhimesh Kandibedala, Anna Pyayt, Nickolas Piraino, Chris Caballero, Michael N. Gubanov |
| 2023 | WWW | Learning Topical Structured Interfaces from Medical Research Literature. | Maitry Chauhan, Anna Pyayt, Michael N. Gubanov |
| 2022 | CIKM | Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings. | Michael N. Gubanov, Sophie Pavia, Anna Pyayt, William Goble |
| 2022 | SIGMOD | Simplifying Access to Large-scale Structured Datasets by Meta-Profiling with Scalable Training Set Enrichment. | Sophie Pavia, Rituparna Khan, Anna Pyayt, Michael N. Gubanov |
| 2016 | EDBT | Type-aware Web-search. | Michael N. Gubanov, Anna Pyayt |
| 2013 | CIKM | READFAST: high-relevance search-engine for big text. | Michael N. Gubanov, Anna Pyayt |
| 2013 | IRI | A real-time classification algorithm for emotion detection using portable EEG. | Surya Cheemalapati, Michael N. Gubanov, Michael Del Vale, Anna Pyayt |
| 2013 | IRI | ReadFast: Optimizing structural search relevance for big biomedical text. | Michael N. Gubanov, Anna Pyayt |
| 2012 | IRI | MEDREADFAST: A structural information retrieval engine for big clinical text. | Michael N. Gubanov, Anna Pyayt |
| 2011 | IRI | READFAST: Browsing large documents through unified famous objects (UFO). | Michael N. Gubanov, Anna Pyayt, Linda G. Shapiro |
| 2011 | IRI | Learning Unified Famous Objects (UFO) to bootstrap information integration. | Michael N. Gubanov, Linda G. Shapiro, Anna Pyayt |