Vijay S. Kumar

25 papers A 5B 1C 2Journal 6Unranked 11

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