| 2025 | ICMLA | TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization. | Jayetri Bardhan, Bushi Xiao, Daisy Zhe Wang |
| 2025 | NAACL | RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question Answering. | Yang Bai, Christan Grant, Daisy Zhe Wang |
| 2025 | PAKDD | LaPuda: LLM-Enabled Policy-Based Query Optimizer for Multi-modal Data. | Yifan Wang, Haodi Ma, Daisy Zhe Wang |
| 2024 | COLING | M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval. | Yang Bai, Anthony M. Colas, Christan Grant, Daisy Zhe Wang |
| 2023 | CIKM | Can Knowledge Graphs Simplify Text? | Anthony M. Colas, Haodi Ma, Xuanli He, Yang Bai, Daisy Zhe Wang |
| 2023 | EDBT | Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN. | Yifan Wang, Daisy Zhe Wang |
| 2023 | EMNLP | Reasoning with Language Model is Planning with World Model. | Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu |
| 2023 | SIGIR | MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering. | Yang Bai, Anthony M. Colas, Daisy Zhe Wang |
| 2022 | CIKM | Extensible Database Simulator for Fast Prototyping In-Database Algorithms. | Yifan Wang, Daisy Zhe Wang |
| 2022 | COLING | GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation. | Anthony M. Colas, Mehrdad Alvandipour, Daisy Zhe Wang |
| 2022 | LREC | DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries. | Jayetri Bardhan, Anthony M. Colas, Kirk Roberts, Daisy Zhe Wang |
| 2021 | AAAI | ChronoR: Rotation Based Temporal Knowledge Graph Embedding. | Ali Sadeghian, Mohammadreza Armandpour, Anthony M. Colas, Daisy Zhe Wang |
| 2020 | LREC | TutorialVQA: Question Answering Dataset for Tutorial Videos. | Anthony M. Colas, Seokhwan Kim, Franck Dernoncourt, Siddhesh Gupte, Daisy Zhe Wang, Doo Soon Kim |
| 2019 | AMIA | Using FHIR to Construct a Corpus of Clinical Questions Annotated with Logical Forms and Answers. | Sarvesh Soni, Meghana Gudala, Daisy Zhe Wang, Kirk Roberts |
| 2019 | SDM | Mining Rules Incrementally over Large Knowledge Bases. | Xiaofeng Zhou, Ali Sadeghian, Daisy Zhe Wang |
| 2017 | IJCAI | Extracting Visual Knowledge from the Web with Multimodal Learning. | Dihong Gong, Daisy Zhe Wang |
| 2016 | FlAIRS | Scalable Image Retrieval with Multimodal Fusion. | Yang Peng, Xiaofeng Zhou, Daisy Zhe Wang, Chunsheng Victor Fang |
| 2016 | IRI | Query-Driven Sampling for Collective Entity Resolution. | Christan Earl Grant, Daisy Zhe Wang, Michael L. Wick |
| 2016 | NAACL | Consensus Maximization Fusion of Probabilistic Information Extractors. | Miguel E. Rodrguez, Sean Goldberg, Daisy Zhe Wang |
| 2016 | SIGMOD | Ontological Pathfinding. | Yang Chen, Sean Goldberg, Daisy Zhe Wang, Soumitra Siddharth Johri |
| 2015 | FlAIRS | A Topic-Based Search, Visualization, and Exploration System. | Christan Earl Grant, Clint Pazhayidam George, Virupaksha Kanjilal, Supriya Nirkhiwale, Joseph N. Wilson, Daisy Zhe Wang |
| 2015 | ISM | Probabilistic Ensemble Fusion for Multimodal Word Sense Disambiguation. | Yang Peng, Daisy Zhe Wang, Ishan Patwa, Dihong Gong, Chunsheng Victor Fang |
| 2014 | FlAIRS | SMART Electronic Legal Discovery Via Topic Modeling. | Clint Pazhayidam George, Sahil Puri, Daisy Zhe Wang, Joseph N. Wilson, William F. Hamilton |
| 2014 | FlAIRS | Streaming Fact Extraction for Wikipedia Entities at Web-Scale. | Morteza Shahriari Nia, Christan Earl Grant, Yang Peng, Daisy Zhe Wang, Milenko Petrovic |
| 2014 | SIGMOD | Knowledge expansion over probabilistic knowledge bases. | Yang Chen, Daisy Zhe Wang |
| 2013 | CIDR | A Probabilistic Knowledge Base System. | Daisy Zhe Wang |
| 2013 | HCOMP | CASTLE: Crowd-Assisted System for Text Labeling and Extraction. | Sean Goldberg, Daisy Zhe Wang, Tim Kraska |
| 2013 | SIGMOD | GPText: Greenplum parallel statistical text analysis framework. | Kun Li, Christan Grant, Daisy Zhe Wang, Sunny Khatri, George Chitouras |
| 2012 | CIKM | MADden: query-driven statistical text analytics. | Christan Earl Grant, Joir-dan Gumbs, Kun Li, Daisy Zhe Wang, George Chitouras |
| 2012 | ICMLA | A Machine Learning Based Topic Exploration and Categorization on Surveys. | Clint P. George, Daisy Zhe Wang, Joseph N. Wilson, Liana M. Epstein, Philip Garland, Annabell Suh |
| 2012 | NAACL | Automatic Knowledge Base Construction using Probabilistic Extraction, Deductive Reasoning, and Human Feedback. | Daisy Zhe Wang, Yang Chen, Sean Goldberg, Christan Grant, Kun Li |
| 2011 | ICDE | Selectivity estimation for extraction operators over text data. | Daisy Zhe Wang, Long Wei, Yunyao Li, Frederick Reiss, Shivakumar Vaithyanathan |
| 2011 | SIGMOD | Hybrid in-database inference for declarative information extraction. | Daisy Zhe Wang, Michael J. Franklin, Minos N. Garofalakis, Joseph M. Hellerstein, Michael L. Wick |
| 2010 | ICDE | Probabilistic declarative information extraction. | Daisy Zhe Wang, Eirinaios Michelakis, Michael J. Franklin, Minos N. Garofalakis, Joseph M. Hellerstein |
| 2007 | ICDM | Granularity Conscious Modeling for Probabilistic Databases. | Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Garofalakis, Joseph M. Hellerstein |