Daisy Zhe Wang

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 60

Top Venues

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Yifan Wang, Haodi Ma, Daisy Zhe Wang
No more optimization rules: LLM-enabled policy-based multi-modal query optimizer. CoRR (2024)
Yifan Wang, Vyom Pathak, Daisy Zhe Wang
Xling: A Learned Filter Framework for Accelerating High-Dimensional Approximate Similarity Join. CoRR (2024)
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 (2024)
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)
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 (2024)
Haodi Ma, Anthony Colas, Yuejie Wang, Ali Sadeghian, Daisy Zhe Wang
Simple Rule Injection for ComplEx Embeddings. CoRR (2023)
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 (2023)
Yang Bai, Anthony Colas, Daisy Zhe Wang
MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering. SIGIR (2023)
Jayetri Bardhan, Kirk Roberts, Daisy Zhe Wang
Question Answering for Electronic Health Records: A Scoping Review of datasets and models. CoRR (2023)
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)
Anthony Colas, Haodi Ma, Xuanli He, Yang Bai, Daisy Zhe Wang
Can Knowledge Graphs Simplify Text? CIKM (2023)
Anthony Colas, Haodi Ma, Xuanli He, Yang Bai, Daisy Zhe Wang
Can Knowledge Graphs Simplify Text? CoRR (2023)
Haodi Ma, Daisy Zhe Wang
A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge. CoRR (2023)
Yang Bai, Anthony Colas, Daisy Zhe Wang
MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering. CoRR (2023)
Yifan Wang, Daisy Zhe Wang
Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN. CoRR (2023)
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 (2023)
Yifan Wang, Daisy Zhe Wang
Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN. EDBT (2023)
Anthony Colas, Mehrdad Alvandipour, Daisy Zhe Wang
GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation. COLING (2022)
Yang Peng, Daisy Zhe Wang
Knowledge Base Completion using Web-Based Question Answering and Multimodal Fusion. CoRR (2022)
Yifan Wang, Daisy Zhe Wang
Extensible Database Simulator for Fast Prototyping In-Database Algorithms. CIKM (2022)
Yang Peng, Daisy Zhe Wang
Query-Driven Knowledge Base Completion using Multimodal Path Fusion over Multimodal Knowledge Graph. CoRR (2022)
Yifan Wang, Daisy Zhe Wang
Extensible Database Simulator for Fast Prototyping In-Database Algorithms. CoRR (2022)
Jayetri Bardhan, Anthony Colas, Kirk Roberts, Daisy Zhe Wang
DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries. CoRR (2022)
Jayetri Bardhan, Anthony Colas, Kirk Roberts, Daisy Zhe Wang
DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries. LREC (2022)
Anthony Colas, Mehrdad Alvandipour, Daisy Zhe Wang
GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation. CoRR (2022)
Ira Harmon, Sergio Marconi, Ben 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 (2022)
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) (2022)
Yifan Wang, Haodi Ma, Daisy Zhe Wang
LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval. CoRR (2022)
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)
Anthony Colas, Ali Sadeghian, Yue Wang, Daisy Zhe Wang
EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation. CoRR (2021)
Ali Sadeghian, Mohammadreza Armandpour, Anthony Colas, Daisy Zhe Wang
ChronoR: Rotation Based Temporal Knowledge Graph Embedding. CoRR (2021)
Ali Sadeghian, Mohammadreza Armandpour, Anthony Colas, Daisy Zhe Wang
ChronoR: Rotation Based Temporal Knowledge Graph Embedding. AAAI (2021)
Yang Bai, Daisy Zhe Wang
More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answering. CoRR (2021)
Anthony 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)
Anthony Colas, Seokhwan Kim, Franck Dernoncourt, Siddhesh Gupte, Daisy Zhe Wang, Doo Soon Kim
TutorialVQA: Question Answering Dataset for Tutorial Videos. LREC (2020)
Xiaofeng Zhou, Ali Sadeghian, Daisy Zhe Wang
Mining Rules Incrementally over Large Knowledge Bases. SDM (2019)
Xiaofeng Zhou, Ali Sadeghian, Daisy Zhe Wang
Mining Rules Incrementally over Large Knowledge Bases. CoRR (2019)
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)
Ali Sadeghian, Shervin Minaee, Ioannis Partalas, Xinxin Li, Daisy Zhe Wang, Brooke Cowan
Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision. CoRR (2019)
Anthony Colas, Seokhwan Kim, Franck Dernoncourt, Siddhesh Gupte, Daisy Zhe Wang, Doo Soon Kim
TutorialVQA: Question Answering Dataset for Tutorial Videos. CoRR (2019)
Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs. CoRR (2019)
Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs. NeurIPS (2019)
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)
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)
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) (2018)
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 (2018)
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) (2018)
Yang Chen, Xiaofeng Zhou, Kun Li, Daisy Zhe Wang
Archimedes: Efficient Query Processing over Probabilistic Knowledge Bases. SIGMOD Rec. 46 (2) (2017)
Dihong Gong, Daisy Zhe Wang
Extracting Visual Knowledge from the Web with Multimodal Learning. IJCAI (2017)
Dihong Gong, Daisy Zhe Wang, Yang Peng
Multimodal Learning for Web Information Extraction. ACM Multimedia (2017)
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) (2017)
Christan Earl Grant, Daisy Zhe Wang, Michael L. Wick
Query-Driven Sampling for Collective Entity Resolution. IRI (2016)
Miguel E. Rodríguez, Daisy Zhe Wang
University of Florida 2016 Slot Filler Validation system. TAC (2016)
Yang Peng, Xiaofeng Zhou, Daisy Zhe Wang, Chunsheng Victor Fang
Scalable Image Retrieval with Multimodal Fusion. FLAIRS Conference (2016)
Yang Chen, Daisy Zhe Wang, Sean Goldberg
ScaLeKB: scalable learning and inference over large knowledge bases. VLDB J. 25 (6) (2016)
Miguel E. Rodríguez, Sean Goldberg, Daisy Zhe Wang
SigmaKB: Multiple Probabilistic Knowledge Base Fusion. Proc. VLDB Endow. 9 (13) (2016)
Xiaofeng Zhou, Yang Chen, Daisy Zhe Wang
ArchimedesOne: Query Processing over Probabilistic Knowledge Bases. Proc. VLDB Endow. 9 (13) (2016)
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) (2016)
Yang Chen, Sean Goldberg, Daisy Zhe Wang, Soumitra Siddharth Johri
Ontological Pathfinding. SIGMOD Conference (2016)
Miguel E. Rodríguez, Sean Goldberg, Daisy Zhe Wang
Consensus Maximization Fusion of Probabilistic Information Extractors. HLT-NAACL (2016)
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) (2015)
Miguel E. Rodríguez, Sean Goldberg, Daisy Zhe Wang
University of Florida DSR Lab System for KBP Slot Filler Validation 2015. TAC (2015)
Christan Earl Grant, Daisy Zhe Wang, Michael L. Wick
Query-Driven Sampling for Collective Entity Resolution. CoRR (2015)
Yang Peng, Daisy Zhe Wang, Ishan Patwa, Dihong Gong, Chunsheng Victor Fang
Probabilistic Ensemble Fusion for Multimodal Word Sense Disambiguation. ISM (2015)
Christan Earl Grant, Daisy Zhe Wang
A Challenge for Long-Term Knowledge Base Maintenance. ACM J. Data Inf. Qual. 6 (2-3) (2015)
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 Conference (2015)
Daisy Zhe Wang, Yang Chen, Christan Earl Grant, Kun Li
Efficient In-Database Analytics with Graphical Models. IEEE Data Eng. Bull. 37 (3) (2014)
Yang Chen, Daisy Zhe Wang
Knowledge expansion over probabilistic knowledge bases. SIGMOD Conference (2014)
Clint Pazhayidam George, Sahil Puri, Daisy Zhe Wang, Joseph N. Wilson, William F. Hamilton
SMART Electronic Legal Discovery Via Topic Modeling. FLAIRS Conference (2014)
Morteza Shahriari Nia, Christan Earl Grant, Yang Peng, Daisy Zhe Wang, Milenko Petrovic
Streaming Fact Extraction for Wikipedia Entities at Web-Scale. FLAIRS Conference (2014)
Morteza Shahriari Nia, Christan Earl Grant, Yang Peng, Daisy Zhe Wang, Milenko Petrovic
University of Florida Knowledge Base Acceleration. TREC (2013)
Daisy Zhe Wang
A Probabilistic Knowledge Base System. CIDR (2013)
Kun Li, Christan Grant, Daisy Zhe Wang, Sunny Khatri, George Chitouras
GPText: Greenplum parallel statistical text analysis framework. DanaC@SIGMOD (2013)
Sean Goldberg, Daisy Zhe Wang, Tim Kraska
CASTLE: Crowd-Assisted System for Text Labeling and Extraction. HCOMP (2013)
Christan Earl Grant, Joir-dan Gumbs, Kun Li, Daisy Zhe Wang, George Chitouras
MADden: query-driven statistical text analytics. CIKM (2012)
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 (2012)
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)
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) (2012)
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)
Daisy Zhe Wang, Long Wei, Yunyao Li, Frederick Reiss, Shivakumar Vaithyanathan
Selectivity estimation for extraction operators over text data. ICDE (2011)
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)
Daisy Zhe Wang, Eirinaios Michelakis, Michael J. Franklin, Minos N. Garofalakis, Joseph M. Hellerstein
Probabilistic declarative information extraction. ICDE (2010)
Daisy Zhe Wang, Michael J. Franklin, Minos N. Garofalakis, Joseph M. Hellerstein
Querying Probabilistic Information Extraction. Proc. VLDB Endow. 3 (1) (2010)
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)
Michael J. Cafarella, Alon Y. Halevy, Yang Zhang, Daisy Zhe Wang, Eugene Wu
Uncovering the Relational Web. WebDB (2008)
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) (2008)
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) (2008)
Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Garofalakis, Joseph M. Hellerstein
Granularity Conscious Modeling for Probabilistic Databases. ICDM Workshops (2007)
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
Project. IEEE Data Eng. Bull. 29 (1) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daisy Zhe Wang