Publications

Home Publications

2024:
- Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling: A Summary of Results. Subhankar Ghosh, Arun Sharma, Jayant Gupta, Aneesh Subramanian and Shashi Shekhar. In Proceedings of the 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM, 2024. [Arxiv]
- Towards Statistically Significant Taxonomy Aware Co-location Pattern Detection. Subhankar Ghosh, Arun Sharma, Jayant Gupta and Shashi Shekhar. In 16th Conference on Spatial Information Theory (COSIT), 2024. (Oral Short Paper) [Link]
- Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data. Majid Farhadloo, Arun Sharma, Jayant Gupta, Alexey Leontovich, Svetomir N. Markovic, Shashi Shekhar. SIAM Data Mining, 2024. [Link]
2023:
- Towards Responsible Spatial Data Science and Geo-AI. Jayant Gupta, Shuai An, and Shashi Shekhar. In 2023 Fifteenth International Conference on Contemporary Computing (IC3-2023) (IC3 2023), August 3-5, 2023, Noida, India. ACM, New York, NY, USA, 11 pages. [Link]
- Reducing Sea-level Rise Prediction Uncertainty: A Spatial-variability-aware Approach. Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian. I-GUIDE Forum, 2023. [Link]
- Reducing False Discoveries in Statistically-Significant Regional-Colocation Mining: A Summary of Results. Subhankar Ghosh, Jayant Gupta, Arun Sharma, Shuai An, Shashi Shekhar. In 12th International Conference on Geographic Information Science (GIScience 2023). Schloss Dagstuhl-Leibniz-Zentrum f ̈ur Informatik, 2023. [Link]
2022:
- Mining Taxonomy-aware Colocations: A Summary of Results. Jayant Gupta and Arun Sharma. In Proceedings of the 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM, 2022. [Link]
- National ranking is influenced by spatial units choices: Comment on Richard Florida's 2015 Segregated City Report. Jayant Gupta, Tian Tang, and Shashi Shekhar, 2022. [Policy brief]
- Spatial Graph Big Data. Shashi Shekhar, Jayant Gupta, (2022). In: Zomaya, A., Taheri, J., Sakr, S. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. [Link]
- Towards a Tighter Bound on Possible-Rendezvous Areas: Preliminary Results. Arun Sharma, Jayant Gupta and Subhankar Ghosh. In Proceedings of the 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM, 2022. [Link]
- Towards geographically robust statistically significant regional co-location pattern detection. Subhankar Ghosh, Jayant Gupta, Arun Sharma, Shuai An. In 5th ACM SIGSPATIAL International Workshop on Geospatial Simulation (GeoSim), ACM, 2022. [Link]
- Abnormal Trajectory-Gap Detection. Arun Sharma, Jayant Gupta and Shashi Shekhar. In 15th Conference on Spatial Information Theory (COSIT 2022), LIPIcs, Volume 240. [Link]
- Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach. Arun Sharma, Majid Farhadloo, Yan Li, Jayant Gupta, Aditya Kulkarni, and Shashi Shekhar. AGILE GIScience Ser., 3, 14, https://doi.org/10.5194/agile-giss-3-14-2022, 2022. [Link]
2021:
- Spatial Dimensions of Algorithmic Transparency: A Summary. Jayant Gupta, Alexander Long, Corey Xu, Tian Tang, Shashi Shekhar. In 17th International Symposium on Spatial and Temporal Databases, pp. 116-125, ACM, 2021. (Acceptance rate: 31.7%). [Link]
- Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach. Jayant Gupta, Carl Molnar, Yiqun Xie, Joe Knight, and Shashi Shekhar. 2021. ACM Trans. Intell. Syst. Technol. 12, 6, Article 76 (November 2021), 21 pages. [Link]
2020:
- Towards Spatial Variability Aware Deep Neural Networks (SVANN): A Summary of Results.Jayant Gupta, Yiqun Xie, and Shashi Shekhar. DeepSpatial2020 (1st ACM SIGKDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems), 2020. (Best paper award , 1/8) (Acceptance rate: 72.7%). [Link]
- Analyzing Trajectory Gaps for Possible Rendezvous: A Summary of Results. Arun Sharma, Xun Tang, Jayant Gupta, Majid Farhadloo, and Shashi Shekhar. In 11th International Conference on Geographic Information Science (GIScience 2021)-Part I. Schloss Dagstuhl-Leibniz-Zentrum f ̈ur Informatik, 2020. (Acceptance rate: 34%). [Link]
2019:
- Linear Hotspot Discovery on All Simple Paths: A Summary of Results. Xun Tang, Jayant Gupta, and Shashi Shekhar. In Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 476-479, ACM, 2019. (Short paper). [Link]
- Benchmarking large-scale data management for Internet of Things. Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, Shaker El-Sappagh, Kyung-Sup Kwak, and Mohamed Ali. The Journal of Supercomputing 75, no. 12 (2019): 8207-8230. [Link]
2018:
- Transforming Smart Cities with Spatial Computing. Yiqun Xie, Jayant Gupta, Yan Li, Shashi Shekhar, In 2018 IEEE International Smart Cities Conference (ISC2) (pp. 1-9). IEEE. (Invited paper). [Link]
- Distributed NoSQL Data Stores: Performance Analysis and a Case Study. Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, and Mohamed Ali. In 2018 IEEE International Conference on Big Data (Big Data), pp. 1937-1944. IEEE, 2018. (Industry and Government Track). (Acceptance rate: 23.1%). [Link]
- Spatial Data Science to Assist Underserved. Jayant Gupta, Shashi Shekhar. In 2018 Social Justice and Equity in the Engineering of Smart and Connected Communities. (Invited paper)
2017:
- The Microsoft Reactive Framework Meets The Internet of Moving Things. Abdeltawab M. Hendawi, Jayant Gupta, Youying Shi, Hossam Fattah, Mohamed Ali. In 2017 IEEE 33rd International Conference on Data Engineering (ICDE), pp. 1150-1161. IEEE, 2017. (Industrial track) (Acceptance rate: 24%). [Link]
2016:
- RxSpatial: The Reactive Spatial Library. Youying Shi, Abdeltawab M. Hendawi, Jayant Gupta, Hossam Fattah, Mohamed Ali. In Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 1-4. ACM, 2016. (Acceptance rate: 19%). [Link]
2013:
- Online Debate Summarization using Topic Directed Sentiment Analysis. Sarvesh Ranade, Jayant Gupta, Vasudeva Varma, and Radhika Mamidi. In Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM), SIGKDD, pp. 1-6, ACM, 2013. (Acceptance rate: 59%). [Link]
2011:
- 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, and Srikanth Reddy Vaddepally. In TAC. 2011. [Link]