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ORCIDDaisy Zhe Wang
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- affiliation: University of Florida, Gainesville, FL, USA
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2020 – today
- 2024
[c39]Yang Bai, Anthony M. Colas, Christan Grant
, Daisy Zhe Wang:
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval. LREC/COLING 2024: 10846-10857- [i31]Yifan Wang, Vyom Pathak, Daisy Zhe Wang:
Xling: A Learned Filter Framework for Accelerating High-Dimensional Approximate Similarity Join. CoRR abs/2402.13397 (2024) - [i30]Yifan Wang, Haodi Ma, Daisy Zhe Wang:
No more optimization rules: LLM-enabled policy-based multi-modal query optimizer. CoRR abs/2403.13597 (2024) - [i29]Yang Bai, Anthony M. Colas, Christan Grant, Daisy Zhe Wang:
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval. CoRR abs/2403.14074 (2024) - [i28]Jayetri Bardhan, Bushi Xiao, Daisy Zhe Wang:
TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization. CoRR abs/2406.14732 (2024) - 2023
- [j19]Ira Harmon, Sergio Marconi, Ben G. Weinstein, Yang Bai, Daisy Zhe Wang, Ethan P. White, Stephanie A. Bohlman:
Improving Rare Tree Species Classification Using Domain Knowledge. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [c38]Anthony M. Colas, Haodi Ma, Xuanli He, Yang Bai, Daisy Zhe Wang:
Can Knowledge Graphs Simplify Text? CIKM 2023: 379-389 - [c37]Yifan Wang, Daisy Zhe Wang:
Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN. EDBT 2023: 492-498 - [c36]Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu:
Reasoning with Language Model is Planning with World Model. EMNLP 2023: 8154-8173 - [c35]Yang Bai, Anthony M. Colas, Daisy Zhe Wang:
MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering. SIGIR 2023: 3017-3026 - [i27]Haodi Ma, Daisy Zhe Wang:
A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge. CoRR abs/2301.01172 (2023) - [i26]Yifan Wang, Daisy Zhe Wang:
Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN. CoRR abs/2302.03136 (2023) - [i25]Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu:
Reasoning with Language Model is Planning with World Model. CoRR abs/2305.14992 (2023) - [i24]Yang Bai, Anthony M. Colas, Daisy Zhe Wang:
MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering. CoRR abs/2307.11848 (2023) - [i23]Haodi Ma, Anthony M. Colas, Yuejie Wang, Ali Sadeghian, Daisy Zhe Wang:
Simple Rule Injection for ComplEx Embeddings. CoRR abs/2308.03269 (2023) - [i22]Anthony M. Colas, Haodi Ma, Xuanli He, Yang Bai, Daisy Zhe Wang:
Can Knowledge Graphs Simplify Text? CoRR abs/2308.06975 (2023) - [i21]Jayetri Bardhan, Kirk Roberts, Daisy Zhe Wang:
Question Answering for Electronic Health Records: A Scoping Review of datasets and models. CoRR abs/2310.08759 (2023) - 2022
- [j18]Yifan Wang, Haodi Ma, Daisy Zhe Wang:
LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval. Proc. VLDB Endow. 16(2): 154-166 (2022) - [j17]Ira Harmon, Sergio Marconi, Ben G. Weinstein, Sarah Graves, Daisy Zhe Wang, Alina Zare, Stephanie A. Bohlman, Aditya Singh, Ethan P. White:
Injecting Domain Knowledge Into Deep Neural Networks for Tree Crown Delineation. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [c34]Yifan Wang, Daisy Zhe Wang:
Extensible Database Simulator for Fast Prototyping In-Database Algorithms. CIKM 2022: 5029-5033 - [c33]Anthony M. Colas, Mehrdad Alvandipour, Daisy Zhe Wang:
GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation. COLING 2022: 5755-5769 - [c32]Jayetri Bardhan, Anthony M. Colas, Kirk Roberts, Daisy Zhe Wang:
DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries. LREC 2022: 1083-1097 - [i20]Anthony M. Colas, Mehrdad Alvandipour, Daisy Zhe Wang:
GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation. CoRR abs/2204.06674 (2022) - [i19]Yifan Wang, Daisy Zhe Wang:
Extensible Database Simulator for Fast Prototyping In-Database Algorithms. CoRR abs/2204.09819 (2022) - [i18]Yifan Wang, Haodi Ma, Daisy Zhe Wang:
LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval. CoRR abs/2205.00970 (2022) - [i17]Jayetri Bardhan, Anthony M. Colas, Kirk Roberts, Daisy Zhe Wang:
DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries. CoRR abs/2205.01290 (2022) - [i16]Yang Peng, Daisy Zhe Wang:
Knowledge Base Completion using Web-Based Question Answering and Multimodal Fusion. CoRR abs/2211.07098 (2022) - [i15]Yang Peng, Daisy Zhe Wang:
Query-Driven Knowledge Base Completion using Multimodal Path Fusion over Multimodal Knowledge Graph. CoRR abs/2212.01923 (2022) - 2021
- [c31]Ali Sadeghian, Mohammadreza Armandpour, Anthony M. Colas, Daisy Zhe Wang:
ChronoR: Rotation Based Temporal Knowledge Graph Embedding. AAAI 2021: 6471-6479 - [c30]Anthony M. Colas, Ali Sadeghian, Yue Wang, Daisy Zhe Wang:
EventNarrative: A Large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation. NeurIPS Datasets and Benchmarks 2021 - [c29]Ioannis Partalas, Anne Morvan, Ali Sadeghian, Shervin Minaee, Xinxin Li, Brooke Cowan, Daisy Zhe Wang:
Hotel2vec: Learning Hotel Embeddings from User Click Sessions with Side Information. RecTour@RecSys 2021: 69-84 - [i14]Ali Sadeghian, Mohammadreza Armandpour, Anthony M. Colas, Daisy Zhe Wang:
ChronoR: Rotation Based Temporal Knowledge Graph Embedding. CoRR abs/2103.10379 (2021) - [i13]Yang Bai, Daisy Zhe Wang:
More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answering. CoRR abs/2109.12264 (2021) - [i12]Anthony M. Colas, Ali Sadeghian, Yue Wang, Daisy Zhe Wang:
EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation. CoRR abs/2111.00276 (2021) - 2020
- [c28]Anthony M. Colas, Seokhwan Kim, Franck Dernoncourt, Siddhesh Gupte, Daisy Zhe Wang, Doo Soon Kim:
TutorialVQA: Question Answering Dataset for Tutorial Videos. LREC 2020: 5450-5455
2010 – 2019
- 2019
- [c27]Sarvesh Soni, Meghana Gudala, Daisy Zhe Wang, Kirk Roberts:
Using FHIR to Construct a Corpus of Clinical Questions Annotated with Logical Forms and Answers. AMIA 2019 - [c26]Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang:
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs. NeurIPS 2019: 15321-15331 - [c25]Xiaofeng Zhou, Ali Sadeghian, Daisy Zhe Wang:
Mining Rules Incrementally over Large Knowledge Bases. SDM 2019: 154-162 - [i11]Manling Li, Ying Lin, Ananya Subburathinam, Spencer Whitehead, Xiaoman Pan, Di Lu, Qingyun Wang, Tongtao Zhang, Lifu Huang, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Bo Wu, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Yixiang Yao, Jennifer Chen, Eric Berquist, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro A. Szekely, T. K. Satish Kumar, Arka Sadhu, Ram Nevatia, Miguel E. Rodríguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang:
GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC 2019 - [i10]Xiaofeng Zhou, Ali Sadeghian, Daisy Zhe Wang:
Mining Rules Incrementally over Large Knowledge Bases. CoRR abs/1904.09399 (2019) - [i9]Ali Sadeghian, Shervin Minaee, Ioannis Partalas, Xinxin Li, Daisy Zhe Wang, Brooke Cowan:
Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision. CoRR abs/1910.03943 (2019) - [i8]Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang:
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs. CoRR abs/1911.00055 (2019) - [i7]Anthony M. Colas, Seokhwan Kim, Franck Dernoncourt, Siddhesh Gupte, Daisy Zhe Wang, Doo Soon Kim:
TutorialVQA: Question Answering Dataset for Tutorial Videos. CoRR abs/1912.01046 (2019) - 2018
- [j16]Ali Sadeghian, Laksshman Sundaram, Daisy Zhe Wang, William F. Hamilton, Karl Branting, Craig Pfeifer:
Automatic semantic edge labeling over legal citation graphs. Artif. Intell. Law 26(2): 127-144 (2018) - [j15]Michael J. Cafarella, Alon Y. Halevy, Hongrae Lee, Jayant Madhavan, Cong Yu, Daisy Zhe Wang, Eugene Wu:
Ten Years of WebTables. Proc. VLDB Endow. 11(12): 2140-2149 (2018) - [r1]Daisy Zhe Wang:
Managing Probabilistic Entity Extraction. Encyclopedia of Database Systems (2nd ed.) 2018 - [i6]Tongtao Zhang, Ananya Subburathinam, Ge Shi, Lifu Huang, Di Lu, Xiaoman Pan, Manling Li, Boliang Zhang, Qingyun Wang, Spencer Whitehead, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Ruiqi Zhong, Steven Shao, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Dongyu Li, Xin Huang, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Mayank Kejriwal, Ram Nevatia, Pedro A. Szekely, T. K. Satish Kumar, Ali Sadeghian, Giacomo Bergami, Sourav Dutta, Miguel E. Rodríguez, Daisy Zhe Wang:
GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC 2018 - [i5]Meghan Brennan, Sahil Puri, Tezcan Ozrazgat-Baslanti, Rajendra Rana Bhat, Zheng Feng, Petar Momcilovic, Xiaolin Li, Daisy Zhe Wang, Azra Bihorac:
Comparing Clinical Judgment with MySurgeryRisk Algorithm for Preoperative Risk Assessment: A Pilot Study. CoRR abs/1804.03258 (2018) - 2017
- [j14]Yang Chen, Xiaofeng Zhou, Kun Li, Daisy Zhe Wang:
Archimedes: Efficient Query Processing over Probabilistic Knowledge Bases. SIGMOD Rec. 46(2): 30-35 (2017) - [j13]Kun Li, Xiaofeng Zhou, Daisy Zhe Wang, Christan Earl Grant, Alin Dobra, Christopher Dudley:
In-database batch and query-time inference over probabilistic graphical models using UDA-GIST. VLDB J. 26(2): 177-201 (2017) - [c24]Dihong Gong, Daisy Zhe Wang:
Extracting Visual Knowledge from the Web with Multimodal Learning. IJCAI 2017: 1718-1724 - [c23]Dihong Gong, Daisy Zhe Wang, Yang Peng:
Multimodal Learning for Web Information Extraction. ACM Multimedia 2017: 288-296 - 2016
- [j12]Yang Peng, Xiaofeng Zhou, Daisy Zhe Wang, Ishan Patwa, Dihong Gong, Chunsheng Victor Fang:
Multimodal Ensemble Fusion for Disambiguation and Retrieval. IEEE Multim. 23(2): 42-52 (2016) - [j11]Xiaofeng Zhou, Yang Chen, Daisy Zhe Wang:
ArchimedesOne: Query Processing over Probabilistic Knowledge Bases. Proc. VLDB Endow. 9(13): 1461-1464 (2016) - [j10]Miguel E. Rodríguez, Sean Goldberg, Daisy Zhe Wang:
SigmaKB: Multiple Probabilistic Knowledge Base Fusion. Proc. VLDB Endow. 9(13): 1577-1580 (2016) - [j9]Yang Chen, Daisy Zhe Wang, Sean Goldberg:
ScaLeKB: scalable learning and inference over large knowledge bases. VLDB J. 25(6): 893-918 (2016) - [c22]Yang Peng, Xiaofeng Zhou, Daisy Zhe Wang, Chunsheng Victor Fang:
Scalable Image Retrieval with Multimodal Fusion. FLAIRS 2016: 80-85 - [c21]Christan Earl Grant, Daisy Zhe Wang, Michael L. Wick:
Query-Driven Sampling for Collective Entity Resolution. IRI 2016: 208-217 - [c20]Miguel E. Rodríguez, Sean Goldberg, Daisy Zhe Wang:
Consensus Maximization Fusion of Probabilistic Information Extractors. HLT-NAACL 2016: 1208-1216 - [c19]Yang Chen, Sean Goldberg, Daisy Zhe Wang, Soumitra Siddharth Johri:
Ontological Pathfinding. SIGMOD Conference 2016: 835-846 - [i4]Miguel E. Rodríguez, Daisy Zhe Wang:
University of Florida 2016 Slot Filler Validation system. TAC 2016 - 2015
- [j8]Christan Earl Grant, Daisy Zhe Wang:
A Challenge for Long-Term Knowledge Base Maintenance. ACM J. Data Inf. Qual. 6(2-3): 7:1-7:3 (2015) - [j7]Kun Li, Daisy Zhe Wang, Alin Dobra, Christopher Dudley:
UDA-GIST: An In-database Framework to Unify Data-Parallel and State-Parallel Analytics. Proc. VLDB Endow. 8(5): 557-568 (2015) - [c18]Christan Earl Grant, Clint Pazhayidam George, Virupaksha Kanjilal, Supriya Nirkhiwale, Joseph N. Wilson, Daisy Zhe Wang:
A Topic-Based Search, Visualization, and Exploration System. FLAIRS 2015: 43-48 - [c17]Yang Peng, Daisy Zhe Wang, Ishan Patwa, Dihong Gong, Chunsheng Victor Fang:
Probabilistic Ensemble Fusion for Multimodal Word Sense Disambiguation. ISM 2015: 172-177 - [i3]Miguel E. Rodríguez, Sean Goldberg, Daisy Zhe Wang:
University of Florida DSR Lab System for KBP Slot Filler Validation 2015. TAC 2015 - [i2]Christan Earl Grant, Daisy Zhe Wang, Michael L. Wick:
Query-Driven Sampling for Collective Entity Resolution. CoRR abs/1508.03116 (2015) - 2014
- [j6]Daisy Zhe Wang, Yang Chen, Christan Earl Grant, Kun Li:
Efficient In-Database Analytics with Graphical Models. IEEE Data Eng. Bull. 37(3): 41-51 (2014) - [c16]Clint Pazhayidam George, Sahil Puri, Daisy Zhe Wang, Joseph N. Wilson, William F. Hamilton:
SMART Electronic Legal Discovery Via Topic Modeling. FLAIRS 2014 - [c15]Morteza Shahriari Nia, Christan Earl Grant, Yang Peng, Daisy Zhe Wang, Milenko Petrovic:
Streaming Fact Extraction for Wikipedia Entities at Web-Scale. FLAIRS 2014 - [c14]Yang Chen, Daisy Zhe Wang:
Knowledge expansion over probabilistic knowledge bases. SIGMOD Conference 2014: 649-660 - 2013
- [c13]Daisy Zhe Wang:
A Probabilistic Knowledge Base System. CIDR 2013 - [c12]Sean Goldberg, Daisy Zhe Wang, Tim Kraska:
CASTLE: Crowd-Assisted System for Text Labeling and Extraction. HCOMP 2013: 51-59 - [c11]Kun Li, Christan Grant, Daisy Zhe Wang, Sunny Khatri, George Chitouras:
GPText: Greenplum parallel statistical text analysis framework. DanaC@SIGMOD 2013: 31-35 - [c10]Morteza Shahriari Nia, Christan Earl Grant, Yang Peng, Daisy Zhe Wang, Milenko Petrovic:
University of Florida Knowledge Base Acceleration. TREC 2013 - 2012
- [j5]Joseph M. Hellerstein, Christopher Ré, Florian Schoppmann, Daisy Zhe Wang, Eugene Fratkin, Aleksander Gorajek, Kee Siong Ng, Caleb Welton, Xixuan Feng, Kun Li, Arun Kumar:
The MADlib Analytics Library or MAD Skills, the SQL. Proc. VLDB Endow. 5(12): 1700-1711 (2012) - [c9]Christan Earl Grant, Joir-dan Gumbs, Kun Li, Daisy Zhe Wang, George Chitouras:
MADden: query-driven statistical text analytics. CIKM 2012: 2740-2742 - [c8]Clint P. George, Daisy Zhe Wang, Joseph N. Wilson, Liana M. Epstein, Philip Garland, Annabell Suh:
A Machine Learning Based Topic Exploration and Categorization on Surveys. ICMLA (2) 2012: 7-12 - [c7]Daisy Zhe Wang, Yang Chen, Sean Goldberg, Christan Grant, Kun Li:
Automatic Knowledge Base Construction using Probabilistic Extraction, Deductive Reasoning, and Human Feedback. AKBC-WEKEX@NAACL-HLT 2012: 106-110 - [i1]Joseph M. Hellerstein, Christopher Ré, Florian Schoppmann, Daisy Zhe Wang, Eugene Fratkin, Aleksander Gorajek, Kee Siong Ng, Caleb Welton, Xixuan Feng, Kun Li, Arun Kumar:
The MADlib Analytics Library or MAD Skills, the SQL. CoRR abs/1208.4165 (2012) - 2011
- [b1]Daisy Zhe Wang:
Extracting and Querying Probabilistic Information in BayesStore. University of California, Berkeley, USA, 2011 - [c6]Daisy Zhe Wang, Long Wei, Yunyao Li, Frederick Reiss, Shivakumar Vaithyanathan:
Selectivity estimation for extraction operators over text data. ICDE 2011: 685-696 - [c5]Daisy Zhe Wang, Michael J. Franklin, Minos N. Garofalakis, Joseph M. Hellerstein, Michael L. Wick:
Hybrid in-database inference for declarative information extraction. SIGMOD Conference 2011: 517-528 - 2010
- [j4]Daisy Zhe Wang, Michael J. Franklin, Minos N. Garofalakis, Joseph M. Hellerstein:
Querying Probabilistic Information Extraction. Proc. VLDB Endow. 3(1): 1057-1067 (2010) - [c4]Daisy Zhe Wang, Eirinaios Michelakis, Michael J. Franklin, Minos N. Garofalakis, Joseph M. Hellerstein:
Probabilistic declarative information extraction. ICDE 2010: 173-176
2000 – 2009
- 2009
- [c3]Daisy Zhe Wang, Xin Luna Dong, Anish Das Sarma, Michael J. Franklin, Alon Y. Halevy:
Functional Dependency Generation and Applications in Pay-As-You-Go Data Integration Systems. WebDB 2009 - 2008
- [j3]Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Garofalakis, Joseph M. Hellerstein:
BayesStore: managing large, uncertain data repositories with probabilistic graphical models. Proc. VLDB Endow. 1(1): 340-351 (2008) - [j2]Michael J. Cafarella, Alon Y. Halevy, Daisy Zhe Wang, Eugene Wu, Yang Zhang:
WebTables: exploring the power of tables on the web. Proc. VLDB Endow. 1(1): 538-549 (2008) - [c2]Michael J. Cafarella, Alon Y. Halevy, Yang Zhang, Daisy Zhe Wang, Eugene Wu:
Uncovering the Relational Web. WebDB 2008 - 2007
- [c1]Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Garofalakis, Joseph M. Hellerstein:
Granularity Conscious Modeling for Probabilistic Databases. ICDM Workshops 2007: 501-506 - 2006
- [j1]Minos N. Garofalakis, Kurt P. Brown, Michael J. Franklin, Joseph M. Hellerstein, Daisy Zhe Wang, Eirinaios Michelakis, Liviu Tancau, Eugene Wu, Shawn R. Jeffery, Ryan Aipperspach:
Probabilistic Data Management for Pervasive Computing: The Data Furnace Project. IEEE Data Eng. Bull. 29(1): 57-63 (2006)
Coauthor Index
Christan Grant
aka: Christan Earl Grant
aka: Christan Earl Grant
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