IIIT Hyderabad in Summarization and Knowledge Base Population at TAC 2011. - Vasudeva Varma; Sudheer Kovelamudi; Arpit Sood; Jayant Gupta; Harshit Jain; Pattisapu Nikhil Priyatam; Aditya Mogadala; Srikanth Reddy Vaddepally (TAC, 2011)

Online debate summarization using topic directed sentiment analysis. - Sarvesh Ranade; Jayant Gupta; Vasudeva Varma; Radhika Mamidi (WISDOM, 2013)

RxSpatial: the reactive spatial library. - Youying Shi; Abdeltawab M. Hendawi; Jayant Gupta; Hossam Fattah; Mohamed H. Ali (SIGSPATIAL/GIS, 2016)

The Microsoft Reactive Framework Meets the Internet of Moving Things. - Abdeltawab M. Hendawi; Jayant Gupta; Youying Shi; Hossam Fattah; Mohamed H. Ali (ICDE, 2017)

Distributed NoSQL Data Stores: Performance Analysis and a Case Study. - Abdeltawab M. Hendawi; Jayant Gupta; Jiayi Liu 002; Ankur Teredesai; Naveen Ramakrishnan; Mohak Shah; Mohamed H. Ali (IEEE BigData, 2018)

Transforming Smart Cities with Spatial Computing. - Yiqun Xie; Jayant Gupta; Yan Li 049; Shashi Shekhar 001 (ISC2, 2018)

Linear Hotspot Discovery on All Simple Paths: A Summary of Results. - Xun Tang; Jayant Gupta; Shashi Shekhar 001 (SIGSPATIAL/GIS, 2019)

Benchmarking large-scale data management for Internet of Things. - Abdeltawab M. Hendawi; Jayant Gupta; Jiayi Liu 002; Ankur Teredesai; Naveen Ramakrishnan; Mohak Shah; Shaker H. Ali El-Sappagh; Kyung-Sup Kwak; Mohamed H. Ali (J. Supercomput., 2019)

Spatial Graph Big Data. - Shashi Shekhar 001; Jayant Gupta (Encyclopedia of Big Data Technologies, 2019)

Towards Spatial Variability Aware Deep Neural Networks (SVANN): A Summary of Results. - Jayant Gupta; Yiqun Xie; Shashi Shekhar 001 (CoRR, 2020)

Analyzing Trajectory Gaps for Possible Rendezvous: A Summary of Results. - Arun Sharma 006; Xun Tang; Jayant Gupta; Majid Farhadloo; Shashi Shekhar 001 (GIScience (I), 2021)

Spatial Dimensions of Algorithmic Transparency: A Summary. - Jayant Gupta; Alexander Long; Corey Kewei Xu; Tian Tang; Shashi Shekhar 001 (SSTD, 2021)

Towards Comparative Physical Interpretation of Spatial Variability Aware Neural Networks: A Summary of Results. - Jayant Gupta; Carl Molnar; Gaoxiang Luo; Joe Knight; Shashi Shekhar 001 (CoRR, 2021)

Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach. - Jayant Gupta; Carl Molnar; Yiqun Xie; Joe Knight; Shashi Shekhar 001 (ACM Trans. Intell. Syst. Technol., 2021)

Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach. - Arun Sharma 006; Majid Farhadloo; Yan Li 049; Jayant Gupta; Aditya Kulkarni; Shashi Shekhar 001 (AGILE Conf., 2022)

Abnormal Trajectory-Gap Detection: A Summary (Short Paper). - Arun Sharma 006; Jayant Gupta; Shashi Shekhar 001 (COSIT, 2022)

Towards geographically robust statistically significant regional colocation pattern detection. - Subhankar Ghosh; Jayant Gupta; Arun Sharma 006; Shuai An; Shashi Shekhar 001 (GeoSim@SIGSPATIAL, 2022)

Mining taxonomy-aware colocations: a summary of results. - Jayant Gupta; Arun Sharma (SIGSPATIAL/GIS, 2022)

Towards a tighter bound on possible-rendezvous areas: preliminary results. - Arun Sharma; Jayant Gupta; Subhankar Ghosh (SIGSPATIAL/GIS, 2022)

Reducing False Discoveries in Statistically-Significant Regional-Colocation Mining: A Summary of Results. - Subhankar Ghosh; Jayant Gupta; Arun Sharma 006; Shuai An; Shashi Shekhar 001 (GIScience, 2023)

Towards Responsible Spatial Data Science and Geo-AI. - Jayant Gupta; Shuai An; Shashi Shekhar 001 (IC3, 2023)

A Survey on Solving and Discovering Differential Equations Using Deep Neural Networks. - Hyeonjung (Tari) Jung; Jayant Gupta; Bharat Jayaprakash; Matthew Eagon; Harish Panneer Selvam; Carl Molnar; William F. Northrop; Shashi Shekhar 001 (CoRR, 2023)

Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach. - Subhankar Ghosh; Shuai An; Arun Sharma 006; Jayant Gupta; Shashi Shekhar 001; Aneesh Subramanian (CoRR, 2023)

Towards Statistically Significant Taxonomy Aware Co-Location Pattern Detection (Short Paper). - Subhankar Ghosh; Arun Sharma 006; Jayant Gupta; Shashi Shekhar 001 (COSIT, 2024)

Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling: A Summary of Results. - Subhankar Ghosh; Arun Sharma 006; Jayant Gupta; Aneesh Subramanian; Shashi Shekhar 001 (SIGSPATIAL/GIS, 2024)

Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data. - Majid Farhadloo; Arun Sharma 006; Jayant Gupta; Alexey A. Leontovich; Svetomir N. Markovic; Shashi Shekhar 001 (SDM, 2024)

Towards Statistically Significant Taxonomy Aware Co-location Pattern Detection. - Subhankar Ghosh; Arun Sharma 006; Jayant Gupta; Shashi Shekhar 001 (CoRR, 2024)

Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling. - Subhankar Ghosh; Arun Sharma 006; Jayant Gupta; Aneesh Subramanian; Shashi Shekhar 001 (CoRR, 2024)