Daisy Zhe Wang

Orcid: 0009-0003-8234-5482

  • University of Florida, Gainesville, FL, USA

According to our database1, Daisy Zhe Wang authored at least 74 papers between 2006 and 2024.

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In proceedings 
PhD thesis 


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M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval.
CoRR, 2024

No more optimization rules: LLM-enabled policy-based multi-modal query optimizer.
CoRR, 2024

Xling: A Learned Filter Framework for Accelerating High-Dimensional Approximate Similarity Join.
CoRR, 2024

Improving Rare Tree Species Classification Using Domain Knowledge.
IEEE Geosci. Remote. Sens. Lett., 2023

Question Answering for Electronic Health Records: A Scoping Review of datasets and models.
CoRR, 2023

Simple Rule Injection for ComplEx Embeddings.
CoRR, 2023

A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge.
CoRR, 2023

MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Reasoning with Language Model is Planning with World Model.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

Can Knowledge Graphs Simplify Text?
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Injecting Domain Knowledge Into Deep Neural Networks for Tree Crown Delineation.
IEEE Trans. Geosci. Remote. Sens., 2022

LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval.
Proc. VLDB Endow., 2022

Query-Driven Knowledge Base Completion using Multimodal Path Fusion over Multimodal Knowledge Graph.
CoRR, 2022

Knowledge Base Completion using Web-Based Question Answering and Multimodal Fusion.
CoRR, 2022

DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Extensible Database Simulator for Fast Prototyping In-Database Algorithms.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answering.
CoRR, 2021

Hotel2vec: Learning Hotel Embeddings from User Click Sessions with Side Information.
Proceedings of the Workshop on Recommenders in Tourism co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

EventNarrative: A Large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

ChronoR: Rotation Based Temporal Knowledge Graph Embedding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

TutorialVQA: Question Answering Dataset for Tutorial Videos.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision.
CoRR, 2019

Mining Rules Incrementally over Large Knowledge Bases.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Using FHIR to Construct a Corpus of Clinical Questions Annotated with Logical Forms and Answers.
Proceedings of the AMIA 2019, 2019

Managing Probabilistic Entity Extraction.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Ten Years of WebTables.
Proc. VLDB Endow., 2018

Comparing Clinical Judgment with MySurgeryRisk Algorithm for Preoperative Risk Assessment: A Pilot Study.
CoRR, 2018

Automatic semantic edge labeling over legal citation graphs.
Artif. Intell. Law, 2018

In-database batch and query-time inference over probabilistic graphical models using UDA-GIST.
VLDB J., 2017

Archimedes: Efficient Query Processing over Probabilistic Knowledge Bases.
SIGMOD Rec., 2017

Multimodal Learning for Web Information Extraction.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Extracting Visual Knowledge from the Web with Multimodal Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

ScaLeKB: scalable learning and inference over large knowledge bases.
VLDB J., 2016

ArchimedesOne: Query Processing over Probabilistic Knowledge Bases.
Proc. VLDB Endow., 2016

SigmaKB: Multiple Probabilistic Knowledge Base Fusion.
Proc. VLDB Endow., 2016

Multimodal Ensemble Fusion for Disambiguation and Retrieval.
IEEE Multim., 2016

University of Florida 2016 Slot Filler Validation system.
Proceedings of the 2016 Text Analysis Conference, 2016

Ontological Pathfinding.
Proceedings of the 2016 International Conference on Management of Data, 2016

Consensus Maximization Fusion of Probabilistic Information Extractors.
Proceedings of the NAACL HLT 2016, 2016

Query-Driven Sampling for Collective Entity Resolution.
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016

Scalable Image Retrieval with Multimodal Fusion.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

UDA-GIST: An In-database Framework to Unify Data-Parallel and State-Parallel Analytics.
Proc. VLDB Endow., 2015

A Challenge for Long-Term Knowledge Base Maintenance.
ACM J. Data Inf. Qual., 2015

University of Florida DSR Lab System for KBP Slot Filler Validation 2015.
Proceedings of the 2015 Text Analysis Conference, 2015

Probabilistic Ensemble Fusion for Multimodal Word Sense Disambiguation.
Proceedings of the 2015 IEEE International Symposium on Multimedia, 2015

A Topic-Based Search, Visualization, and Exploration System.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Efficient In-Database Analytics with Graphical Models.
IEEE Data Eng. Bull., 2014

Knowledge expansion over probabilistic knowledge bases.
Proceedings of the International Conference on Management of Data, 2014

Streaming Fact Extraction for Wikipedia Entities at Web-Scale.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

SMART Electronic Legal Discovery Via Topic Modeling.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

University of Florida Knowledge Base Acceleration.
Proceedings of The Twenty-Second Text REtrieval Conference, 2013

GPText: Greenplum parallel statistical text analysis framework.
Proceedings of the Second Workshop on Data Analytics in the Cloud, 2013

CASTLE: Crowd-Assisted System for Text Labeling and Extraction.
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

A Probabilistic Knowledge Base System.
Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

The MADlib Analytics Library or MAD Skills, the SQL.
Proc. VLDB Endow., 2012

Automatic Knowledge Base Construction using Probabilistic Extraction, Deductive Reasoning, and Human Feedback.
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

A Machine Learning Based Topic Exploration and Categorization on Surveys.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

MADden: query-driven statistical text analytics.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Extracting and Querying Probabilistic Information in BayesStore.
PhD thesis, 2011

Hybrid in-database inference for declarative information extraction.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Selectivity estimation for extraction operators over text data.
Proceedings of the 27th International Conference on Data Engineering, 2011

Querying Probabilistic Information Extraction.
Proc. VLDB Endow., 2010

Probabilistic declarative information extraction.
Proceedings of the 26th International Conference on Data Engineering, 2010

Functional Dependency Generation and Applications in Pay-As-You-Go Data Integration Systems.
Proceedings of the 12th International Workshop on the Web and Databases, 2009

BayesStore: managing large, uncertain data repositories with probabilistic graphical models.
Proc. VLDB Endow., 2008

WebTables: exploring the power of tables on the web.
Proc. VLDB Endow., 2008

Uncovering the Relational Web.
Proceedings of the 11th International Workshop on the Web and Databases, 2008

Granularity Conscious Modeling for Probabilistic Databases.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Probabilistic Data Management for Pervasive Computing: The <i>Data Furnace</i> Project.
IEEE Data Eng. Bull., 2006