View Upcoming Venues
2019
- GAIA at SM-KBP 2019-A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System
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 McKeown, Yixiang Yao, Jennifer Chen, Eric Berquist, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro Szekely, TK Satish Kumar, Arka Sadhu, Ram Nevatia, Miguel Rodriguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang
Proc. Text Analysis Conference (TAC2019). - DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs [Github]
Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang
To Appear, Neural Information Processing Systems 2019 (NeurIPS2019) - Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision
Ali Sadeghian, Shervin Minaee, Ioannis Partalas, Xinxin Li, Daisy Zhe Wang, Brooke Cowan
In Submission - Measuring Impact of Climate Change on Tree Species: analysis of JSDM on FIA data
Hyun Choi, Ali Sadeghian, Sergio Marconi, Ethan White, Daisy Zhe Wang
NeurIPS 2019 Workshop Tackling Climate Change with Machine Learning - Comparing Clinical Judgement with MySurgeryRisk Algorithm for Preoperative Risk Assessment: A Pilot Study
Meghan Brennan, Sahil Puri, Tezcan Ozrazgat-Baslanti, Rajendra Bhat, Zheng Feng, Petar Momcilovic, Xiaolin Li, Daisy Zhe Wang, Azra Bihorac
Surgery. 2019 May;165(5):1035-1045. - Mining Rules Incrementally over Large Knowledge Bases
Xiaofeng Zhou, Ali Sadeghian, Daisy Zhe Wang
SIAM SDM, 2019
2018
- GAIA – A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System
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 McKeown, Dongyu Li, Xin Huang, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Mayank Kejriwal, Ram Nevatia, Pedro Szekely, T.K. Satish Kumar, Ali Sadeghian, Giacomo Bergami, Sourav Dutta, Miguel Rodriguez, Daisy Zhe Wang (Information Sciences Institute; Columbia University; Rensselaer Polytechnic Institute; University of Florida; University of Southern California)
Proc. Text Analysis Conference (TAC2018). - Ten Years of WebTables
Michael Cafarella, Alon Halevy, Hongrae Lee, Cong Yu,
To Appear, Proceedings of the VLDB Endowment, Vol. 11, No. 12, 2018. - A data science challenge for converting airborne remote sensing data into ecological information
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To Appear, PeerJ Journal, 2018. - Temporal Reasoning Over Event Knowledge Graphs
Ali Sadeghian, Miguel Rodriguez, Daisy Zhe Wang, Anthony Colas
ACM WSDM KBCOM workshop, 2018. Best Paper Honorable Mention Award - MySurgeryRisk: Development and Validation of a Machine-Learning Risk Algorithm for Major Complications and Death after Surgery
Bihorac A, Ozrazgat-Baslanti T, Ebadi A, Motaei A, Madkour M, Pardalos PM, Lipori G, Hogan WR, Efron PA, Moore F, Moldawer LL, Wang DZ, Hobson CE, Rashidi P, Li X, Momcilovic P.
Ann Surg. 2019 Apr;269(4):652-662. - Automatic Semantic Edge Labeling over Legal Citation Graphs
Ali Sadeghian, Laksshman Sundaram, Daisy Zhe Wang, William F. Hamilton, Karl Branting, Craig Pfeifer
Artificial Intelligence and Law, Volumn 26, Issue 2, Springer, 2018.
2017
- Archimedes: Efficient Query Processing over Probabilistic Knowledge Bases
Yang Chen, Xiaofeng Zhou, Kun Li, Daisy Zhe Wang
ACM SIGMOD Record, 2017. - Multimodal Learning for Web Information Extraction
Dihong Gong, Daisy Zhe Wang, Yang Peng
The ACM Multimedia, 2017. - Extracting Visual Knowledge from the Web with Multimodal Learning
Dihong Gong, Daisy Zhe Wang
The International Joint Conference on Artificial Intelligence (IJCAI), 2017. - A Probabilistically Integrated System for Crowd-Assisted Text Labeling and Extraction
Sean Goldberg, Daisy Zhe Wang, Christan Grant
The ACM Journal of Data and Information Quality, 2017. - In-Database Batch and Query-time Inference over Probabilistic Graphical Models using UDA-GIST
Kun Li, Xiaofeng Zhou, Daisy Zhe Wang, Christan Grant, Alin Dobra, Christopher Dudley
The VLDB Journal, 2017, Vol 26, Issue 2. - Managing Probabilistic Entity Extraction
Daisy Zhe Wang
Encyclopedia of Database Systems, Springer, 2017
2016
- ScaLeKB: Scalable Learning and Inference over Large Knowledge Bases
Yang Chen, Daisy Zhe Wang, Sean Goldberg
The VLDB Journal, 2016. - Book Chapter: Old media, new media, and public engagement with science
Yulia A. Strekalova, Janice L. Krieger, Rachel E. Damiani, Sriram Kalyanaraman, Daisy Zhe Wang
Citizen Engagement and Public Participation in the Era of New Media. Hershey, PA: IGI Global. - Query-driven Sampling for Collective Entity Resolution
Christan Grant, Daisy Zhe Wang, Michael Wick
IEEE 17th International Conference on Information Reuse and Integration, 2016. - ArchimedesOne: Query Processing over Probabilistic Knowledge Bases
Xiaofeng Zhou, Yang Chen, Daisy Zhe Wang
Proceedings of the VLDB Endowment, 2016 - SigmaKB: Multiple Uncertain Knowledge Base Fusion
Miguel E. Rodríguez, Sean Goldberg, Daisy Zhe Wang
Proceedings of the VLDB Endowment, 2016. - Multimodal Ensemble Fusion for Disambiguation and Retrieval
Yang Peng, Xiaofeng Zhou, Daisy Zhe Wang, Ishan Patwa, Dihong Gong, Chunsheng Victor Fang
Proceedings of the IEEE Multimedia Magazine, 2016. - Scalable Image Retrieval with Multimodal Fusion
Yang Peng, Xiaofeng Zhou, Daisy Zhe Wang, Chunsheng Victor Fang
Proceedings of the 29th International FLAIRS conference, 2016. - Consensus Maximization Fusion of Probabilistic Information Extractors
Miguel E. Rodríguez, Sean Goldberg, Daisy Zhe Wang
Proceedings of the 15th Conference of the North American Chapter of the Association of Computational Linguistics (NAACL HLT), 2016. - Ontological Pathfinding: Mining First-Order Knowledge from Large Knowledge Bases
Yang Chen, Sean Goldberg, Daisy Zhe Wang, Soumitra Siddharth Johri
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2016.
2015
- Probabilistic Ensemble Fusion for Multimodal Word Sense Disambiguation
Yang Peng, Daisy Zhe Wang, Ishan Patwa, Dihong Gong, Victor Chunsheng Fang
IEEE International Symposium on Multimedia, 2015 - Impact of Atmospheric Correction and Image Filtering on Hyperspectral Classification of Tree Species Using Support Vector Machine
Morteza Shahriari Nia, Daisy Zhe Wang, Stephanie Ann Bohlman, Paul Gader, Sarah J. Graves, Milenko Petrovic
Journal of Applied Remote Sensing, 2015 - Optimizing Sampling-based Entity Resolution over Streaming Documents
Christan Grant, Daisy Zhe Wang
Proceedings of SDM Big Data & Streaming Analytics Workshop, 2015 - A Topic-Based Search, Visualization, and Exploration System
Christan Grant, Clint P. George, Virupaksha Kanjilal, Supriya Nirkhiwale, Joseph Wilson, Daisy Zhe Wang
Proceedings of the 28th International FLAIRS Conference, 2015 - A Challenge for Long-term Knowledge Base Maintenance
Christan Grant, Daisy Zhe Wang
Proceedings of ACM Journal on Data and Information Quality, 2015 - UDA-GIST: An In-database Framework to Unify Data-Parallel and State-Parallel Analytics
Kun Li, Daisy Zhe Wang, Alin Dobra, Christopher Dudley
Proceedings of the VLDB Endowment, 2015
2014
- Efficient In-Database Analytics with Graphical Models
Daisy Zhe Wang, Yang Chen, Christan Grant, Kun Li
IEEE Data Engineering Bulletin, 2014 - Knowledge Expansion over Probabilistic Knowledge Bases
Yang Chen, Daisy Zhe Wang
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2014 - Exploring Netflow Data using Hadoop
Xiaofeng Zhou, Milenko Petrovic, Tom Eskridge, Marco Carvalho, Xi Tao
Proceedings of the Third ASE International Conference on Cyber Security, 2014 - Streaming Fact Extraction for Wikipedia Entities at Web-Scale
Morteza Shahriari Nia, Christan Grant, Yang Peng, Daisy Zhe Wang, Milenko Petrovic
Proceedings of the 27th International FLAIRS Conference, 2014 - SemMemDB: In-Database Knowledge Activation
Yang Chen, Milenko Petrovic, Micah H. Clark
Proceedings of the 27th International FLAIRS Conference, 2014 - SMART Electronic Legal Discovery via Topic Modeling
Clint P. George, Sahil Puri, Daisy Zhe Wang, Joseph Wilson, William Hamilton
Proceedings of the 27th International FLAIRS Conference, 2014
2013
- CASTLE: Crowd-Assisted System for Textual Labeling & Extraction
Sean Goldberg, Daisy Zhe Wang, Tim Kraska
Proceedings of HCOMP, 2013 - GPText: Greenplum Parallel Statistical Text Analysis Framework
Kun Li, Christan Grant, Daisy Zhe Wang, Sunny Khatri, George Chitouras
Data analaytics in the Cloud workshop (DanaC) at SIGMOD, 2013 - Web-Scale Knowledge Inference Using Markov Logic Networks
Yang Chen, Daisy Zhe Wang
Proceedings of ICML workshop on Structured Learning: Inferring Graphs from Structured and Unstructured Inputs (SLG), 2013 - Knowledge Extraction and Outcome Prediction using Medical Notes
Ryan Cobb, Sahil Puri, Daisy Zhe Wang, Tezcan Baslanti, Azra Bihorac
Proceedings of ICML workshop on Role of Machine Learning in Transforming Healthcare, 2013
2012
- 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
Proceedings of the 11th International Conference on Machine Learning and Applications (ICMLA), 2012 - MADden: Query-Driven Statistical Text Analytics
Christan Grant, Jordan Gumbs, Kun Li, Daisy Zhe Wang, George Chitouras
Proceedings of the 21st ACM CIKM International Conference on Information and Knowledge Management, 2012 - Automatic Knowledge Base Construction using Probabilistic Extraction, Deductive Reasoning, and Human Feedback
Daisy Zhe Wang, Yang Chen, Sean Goldberg, Christan Grant, and Kun Li
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX), 2012 - The MADlib Analytics Library or MAD Skills, the SQL
Joseph M. Hellerstein, Christoper Re, Florian Schoppmann, Daisy Zhe Wang, Eugene Fratkin, Aleks Gorajek, Kee Siong Ng, Caleb Welton, Xixuan Feng, Kun Li, Arun Kumar
Proceedings of the VLDB Endowment, 2012
