Vijay S. Kumar

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 12

Top Topics

Query Relaxation

Scientific Documents

Top Venues

Publications

Varish Mulwad, Tim Finin, Vijay S. Kumar, Jenny Weisenberg Williams, Sharad Dixit, Anupam Joshi
A Practical Entity Linking System for Tables in Scientific Literature. CoRR (2023)
Varish Mulwad, Vijay S. Kumar, Jenny Weisenberg Williams, Tim Finin, Sharad Dixit, Anupam Joshi
Towards Semantic Exploration of Tables in Scientific Documents. ESWC Workshops (2023)
Vijay S. Kumar, Varish Mulwad, Jenny Weisenberg Williams, Tim Finin, Sharad Dixit, Anupam Joshi
Knowledge Graph-driven Tabular Data Discovery from Scientific Documents. VLDB Workshops (2023)
Varish Mulwad, Tim Finin, Vijay S. Kumar, Jenny Weisenberg Williams, Sharad Dixit, Anupam Joshi
A Practical Entity Linking System for Tables in Scientific Literature. SDU@AAAI (2023)
Varish Mulwad, Andrew Crapo, Vijay S. Kumar, James Jobin, Alfredo Gabaldon, Nurali Virani, Sharad Dixit, Narendra Joshi
Automated Creation and Human-assisted Curation of Computable Scientific Models from Code and Text. CoRR (2022)
Vijay S. Kumar, Tianyi Wang, Kareem S. Aggour, Pengyuan Wang, Philip J. Hart, Weizhong Yan
Big Data Analysis of Massive PMU Datasets: A Data Platform Perspective. ISGT (2021)
Vijay S. Kumar, Sharad Dixit, Kareem S. Aggour, Jenny Weisenberg Williams, Paul Cuddihy
On-demand Knowledge Graphs for Standards-Based Power Grid Data Provisioning. IEA/AIE (2) (2021)
Paul Cuddihy, Jenny Weisenberg Williams, Vijay S. Kumar, Kareem S. Aggour, Andrew Crapo, Sharad Dixit
FDC Cache: Semantics-driven Federated Caching and Querying for Big Data. IEEE BigData (2020)
Kareem S. Aggour, Vijay S. Kumar, Paul Cuddihy, Jenny Weisenberg Williams, Vipul Gupta, Laura Dial, Timothy Hanlon, Justin Gambone, Joseph Vinciquerra
Federated Multimodal Big Data Storage & Analytics Platform for Additive Manufacturing. IEEE BigData (2019)
Vijay S. Kumar, Paul Cuddihy, Kareem S. Aggour
NodeGroup: A Knowledge-driven Data Management Abstraction for Industrial Machine Learning. DEEM@SIGMOD (2019)
Justin McHugh, Paul E. Cuddihy, Jenny Weisenberg Williams, Kareem S. Aggour, Vijay S. Kumar, Varish Mulwad
Integrated access to big data polystores through a knowledge-driven framework. IEEE BigData (2017)
Kareem S. Aggour, Vijay S. Kumar, Dipen P. Sangurdekar, Lee A. Newberg, Chinnappa D. Kodira
A highly parallel next-generation DNA sequencing data analysis pipeline in Hadoop. BIBM (2015)
Abhishek Verma, Ludmila Cherkasova, Vijay S. Kumar, Roy H. Campbell
Deadline-based workload management for MapReduce environments: Pieces of the performance puzzle. NOMS (2012)
Vijay S. Kumar, Tahsin M. Kurç, Varun Ratnakar, Jihie Kim, Gaurang Mehta, Karan Vahi, Yoon-Ju Lee Nelson, P. Sadayappan, Ewa Deelman, Yolanda Gil, Mary W. Hall, Joel H. Saltz
Parameterized specification, configuration and execution of data-intensive scientific workflows. Clust. Comput. 13 (3) (2010)
Tahsin M. Kurç, Shannon Hastings, Vijay S. Kumar, Stephen Langella, Ashish Sharma, Tony Pan, Scott Oster, David Ervin, Justin Permar, Sivaramakrishnan Narayanan, Yolanda Gil, Ewa Deelman, Mary W. Hall, Joel H. Saltz
HPC and Grid Computing for Integrative Biomedical Research. Int. J. High Perform. Comput. Appl. 23 (3) (2009)
Vijay S. Kumar, P. Sadayappan, Gaurang Mehta, Karan Vahi, Ewa Deelman, Varun Ratnakar, Jihie Kim, Yolanda Gil, Mary W. Hall, Tahsin M. Kurç, Joel H. Saltz
An integrated framework for performance-based optimization of scientific workflows. HPDC (2009)
Vijay S. Kumar, Tahsin M. Kurç, Joel H. Saltz, Ghaleb Abdulla, Scott R. Kohn, Celeste Matarazzo
Architectural implications for spatial object association algorithms. IPDPS (2009)
Vijay S. Kumar, Mary W. Hall, Jihie Kim, Yolanda Gil, Tahsin M. Kurç, Ewa Deelman, Varun Ratnakar, Joel H. Saltz
Designing and parameterizing a workflow for optimization: A case study in biomedical imaging. IPDPS (2008)
Vijay S. Kumar, Sivaramakrishnan Narayanan, Tahsin M. Kurç, Jun Kong, Metin N. Gurcan, Joel H. Saltz
Analysis and Semantic Querying in Large Biomedical Image Datasets. Computer 41 (4) (2008)
Vijay S. Kumar, Benjamin Rutt, Tahsin M. Kurç, Ümit V. Çatalyürek, Tony C. Pan, Sunny K. Chow, Stephan Lamont, Maryann E. Martone, Joel H. Saltz
Large-Scale Biomedical Image Analysis in Grid Environments. IEEE Trans. Inf. Technol. Biomed. 12 (2) (2008)
Vijay S. Kumar, Tahsin M. Kurç, Jun Kong, Ümit V. Çatalyürek, Metin N. Gurcan, Joel H. Saltz
Performance vs. accuracy trade-offs for large-scale image analysis applications. CLUSTER (2007)
Bhupesh Bansal, Ümit V. Çatalyürek, Jacqueline Chame, Chun Chen, Ewa Deelman, Yolanda Gil, Mary W. Hall, Vijay S. Kumar, Tahsin M. Kurç, Kristina Lerman, Aiichiro Nakano, Yoon-Ju Lee Nelson, Joel H. Saltz, Ashish Sharma, Priya Vashishta
Intelligent Optimization of Parallel and Distributed Applications. IPDPS (2007)
Vijay S. Kumar, Benjamin Rutt, Tahsin M. Kurç, Ümit V. Çatalyürek, Joel H. Saltz, Sunny K. Chow, Stephan Lamont, Maryann E. Martone
Imaging and visual analysis - Large image correction and warping in a cluster environment. SC (2006)
Benjamin Rutt, Vijay S. Kumar, Tony Pan, Tahsin M. Kurç, Ümit V. Çatalyürek, Joel H. Saltz, Yujun Wang
Distributed Out-of-Core Preprocessing of Very Large Microscopy Images for Efficient Querying. CLUSTER (2005)
Ümit V. Çatalyürek, Shannon Hastings, Kun Huang, Vijay S. Kumar, Tahsin M. Kurç, Stephen Langella, Sivaramakrishnan Narayanan, Scott Oster, Tony Pan, Benjamin Rutt, Xi Zhang, Joel H. Saltz
Supporting Large Scale Medical and Scientific Datasets. PARCO (2005)