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ORCIDChristan Grant
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- affiliation: University of Oklahoma, Norman, OK, USA
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2020 – today
- 2024
[c27]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- [c26]Chen Zhao, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Grant, Feng Chen:
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously. KDD 2024: 4419-4430 - [c25]Amy Wu, Morgan Cobb, Victor Perez, Christan Grant, Jeremy A. Magruder Waisome:
Guided Undergraduate Training for Shark Segmentation (GUTSS). SIGCSE (2) 2024: 1857-1858 - [i13]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) - 2023
- [c24]Chenguang Xu, Sarah M. Brown, Christan Grant, Chris Weaver:
Hybrid Tree Visualizations for Analysis of Gerrymandering. ISVC (1) 2023: 85-96 - [c23]Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen:
Towards Fair Disentangled Online Learning for Changing Environments. KDD 2023: 3480-3491 - [e1]Jihe Wang, Yi He, Thang N. Dinh, Christan Grant, Meikang Qiu, Witold Pedrycz:
IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023. IEEE 2023, ISBN 979-8-3503-8164-1 [contents] - [i12]Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen:
Towards Fair Disentangled Online Learning for Changing Environments. CoRR abs/2306.01007 (2023) - [i11]Chen Zhao, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Grant, Feng Chen:
Fairness-Aware Domain Generalization under Covariate and Dependence Shifts. CoRR abs/2311.13816 (2023) - 2022
- [c22]Yan Liang, Christan Grant:
TAED: Topic-Aware Event Detection. IEEE Big Data 2022: 3770-3779 - [c21]Yifan Ding, Yan Liang, Nasser Zalmout, Xian Li, Christan Grant, Tim Weninger:
Ask-and-Verify: Span Candidate Generation and Verification for Attribute Value Extraction. EMNLP (Industry Track) 2022: 110 - 2021
- [c20]Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong:
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding. ACL/IJCNLP (1) 2021: 4694-4705 - [c19]Jasmine DeHart, Chenguang Xu, Christan Grant, Lisa Egede:
Proposing an Interactive Audit Pipeline for Visual Privacy Research. IEEE BigData 2021: 1249-1255 - [i10]Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong:
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding. CoRR abs/2106.02318 (2021) - [i9]Jasmine DeHart, Chenguang Xu, Lisa Egede, Christan Grant:
Proposing an Interactive Audit Pipeline for Visual Privacy Research. CoRR abs/2111.03984 (2021) - 2020
- [j5]Jasmine DeHart, Makya Stell, Christan Grant:
Social Media and the Scourge of Visual Privacy. Inf. 11(2): 57 (2020)
2010 – 2019
- 2019
- [c18]Oluwashina Madamori, Esther Max-Onakpoya, Christan Grant, Corey Baker:
Using Delay Tolerant Networks as a Backbone for Low-Cost Smart Cities. SMARTCOMP 2019: 468-471 - [c17]Nina L. Cesare, Christan Grant, Elaine O. Nsoesie:
Understanding Demographic Bias and Representation in Social Media Health Data. WebSci (Companion) 2019: 7-9 - [i8]Oluwashina Madamori, Esther Max-Onakpoya, Christan Grant, Corey E. Baker:
Using Delay Tolerant Networks as a Backbone for Low-cost Smart Cities. CoRR abs/1905.05633 (2019) - [i7]Elena Montes, Monique Shotande, Daniel Helm, Christan Grant:
DataPop: Knowledge Base Population using Distributed Voice Enabled Devices. CoRR abs/1907.00146 (2019) - 2018
- [c16]Chenguang Xu, Sarah M. Brown, Christan Grant:
Detecting Simpson's Paradox. FLAIRS 2018: 221-224 - [c15]Keerti Banweer, Austin Graham, Joe Ripberger, Nina L. Cesare, Elaine O. Nsoesie, Christan Grant:
Multi-stage Collaborative filtering for Tweet Geolocation. LocalRec@SIGSPATIAL 2018: 4:1-4:4 - [c14]Yan Liang, Khaled Jabr, Christan Grant, Jill Irvine, Andrew Halterman:
New Techniques for Coding Political Events across Languages. IRI 2018: 88-93 - [c13]Aswin Krishna Gunasekaran, Maryam Bahojb Imani, Latifur Khan, Christan Grant, Patrick T. Brandt, Jennifer S. Holmes:
SPERG: Scalable Political Event Report Geoparsing in Big Data. ISI 2018: 187-192 - [i6]Jasmine DeHart, Christan Grant:
Visual Content Privacy Leaks on Social Media Networks. CoRR abs/1806.08471 (2018) - 2017
- [j4]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) - [c12]Andrew Halterman, Jill Irvine, Manar Landis, Phanindra Jalla, Yan Liang, Christan Grant, Mohiuddin Solaimani:
Adaptive scalable pipelines for political event data generation. IEEE BigData 2017: 2879-2883 - [c11]Austin Graham, Yan Liang, Le Gruenwald, Christan Grant:
[Research paper] formalizing interruptible algorithms for human over-the-loop analytics. IEEE BigData 2017: 4378-4383 - [c10]Stephen Smart, Christan Grant:
Towards Managing Complex Data Sharing Policies with the Min Mask Sketch. IRI 2017: 1-8 - [i5]Nina L. Cesare, Christan Grant, Elaine O. Nsoesie:
Detection of User Demographics on Social Media: A Review of Methods and Recommendations for Best Practices. CoRR abs/1702.01807 (2017) - [i4]Stephen Smart, Christan Grant:
Storing complex data sharing policies with the Min Mask Sketch. CoRR abs/1704.01218 (2017) - [i3]Nina L. Cesare, Christan Grant, Jared B. Hawkins, John S. Brownstein, Elaine O. Nsoesie:
Demographics in Social Media Data for Public Health Research: Does it matter? CoRR abs/1710.11048 (2017) - [i2]Austin Graham, Yan Liang, Le Gruenwald, Christan Grant:
Formalizing Interruptible Algorithms for Human over-the-loop Analytics. CoRR abs/1712.00715 (2017) - 2016
- [j3]Jared Bond, Christan Grant, Josh Imbriani, Erik Holbrook:
A Framework for Interactive t-SNE Clustering. Int. J. Softw. Informatics 10(3) (2016) - [c9]Christan Earl Grant, Daisy Zhe Wang, Michael L. Wick:
Query-Driven Sampling for Collective Entity Resolution. IRI 2016: 208-217 - 2015
- [j2]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) - [c8]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 - [i1]Christan Earl Grant, Daisy Zhe Wang, Michael L. Wick:
Query-Driven Sampling for Collective Entity Resolution. CoRR abs/1508.03116 (2015) - 2014
- [j1]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) - [c7]Morteza Shahriari Nia, Christan Earl Grant, Yang Peng, Daisy Zhe Wang, Milenko Petrovic:
Streaming Fact Extraction for Wikipedia Entities at Web-Scale. FLAIRS 2014 - 2013
- [c6]Kun Li, Christan Grant, Daisy Zhe Wang, Sunny Khatri, George Chitouras:
GPText: Greenplum parallel statistical text analysis framework. DanaC@SIGMOD 2013: 31-35 - [c5]Morteza Shahriari Nia, Christan Earl Grant, Yang Peng, Daisy Zhe Wang, Milenko Petrovic:
University of Florida Knowledge Base Acceleration. TREC 2013 - 2012
- [c4]Christan Earl Grant, Joir-dan Gumbs, Kun Li, Daisy Zhe Wang, George Chitouras:
MADden: query-driven statistical text analytics. CIKM 2012: 2740-2742 - [c3]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 - 2011
- [c2]Christan Earl Grant, Clint P. George, Chris Jenneisch, Joseph N. Wilson:
Online Topic Modeling for Real-Time Twitter Search. TREC 2011 - 2010
- [c1]Christan Earl Grant, Clint P. George, Joir-dan Gumbs, Joseph N. Wilson, Peter J. Dobbins:
Morpheus: a deep web question answering system. iiWAS 2010: 841-844
Coauthor Index
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