| Geospark: A cluster computing framework for processing large-scale spatial data J Yu, J Wu, M Sarwat Proceedings of the 23rd SIGSPATIAL international conference on advances in …, 2015 | 501 | 2015 |
| ALEX: An Updatable Adaptive Learned Index J Ding, UF Minhas, J Yu, C Wang, J Do, Y Li, H Zhang, B Chandramouli, ... 2020 International Conference on Management of Data (SIGMOD), 2020 | 316 | 2020 |
| Spatial Data Management in Apache Spark: The GeoSpark Perspective and Beyond J Yu, Z Zhang, M Sarwat Geoinformatica 23 (1), 37--78, 2019 | 196 | 2019 |
| Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations Y Wu, J Yu, Y Tian, R Sidle, R Barber 2019 International Conference on Management of Data (SIGMOD), 2019 | 68 | 2019 |
| A Demonstration of GeoSpark: A Cluster Computing Framework for Processing Big Spatial Data J Yu, J Wu, M Sarwat 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 1410 - 1413, 2016 | 53 | 2016 |
| Geosparkviz: a scalable geospatial data visualization framework in the apache spark ecosystem J Yu, Z Zhang, M Sarwat 30th International Conference on Scientific and Statistical Database …, 2018 | 44 | 2018 |
| Two birds, one stone: a fast, yet lightweight, indexing scheme for modern database systems J Yu, M Sarwat Proceedings of the VLDB Endowment 10 (4), 385-396, 2016 | 34 | 2016 |
| Turbocharging Geospatial Visualization Dashboards via a Materialized Sampling Cube Approach J Yu, M Sarwat 2020 IEEE 36th International Conference on Data Engineering (ICDE), 2020 | 18 | 2020 |
| Demonstrating Spindra: A Geographic Knowledge Graph Management System Y Sun, J Yu, M Sarwat 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019 | 18 | 2019 |
| Spatial-net: a self-adaptive and model-agnostic deep learning framework for spatially heterogeneous datasets Y Xie, X Jia, H Bao, X Zhou, J Yu, R Ghosh, P Ravirathinam Proceedings of the 29th international conference on advances in geographic …, 2021 | 17 | 2021 |
| Indexing the Pickup and Drop-Off Locations of NYC Taxi Trips in PostgreSQL–Lessons from the Road J Yu, M Sarwat International Symposium on Spatial and Temporal Databases (SSTD), 145-162, 2017 | 15 | 2017 |
| GeoSparkViz: a cluster computing system for visualizing massive-scale geospatial data J Yu, M Sarwat The VLDB Journal, 1-22, 2021 | 13 | 2021 |
| Demonstrating GeoSparkSim: A Scalable Microscopic Road Network Traffic Simulator Based on Apache Spark Z Fu, J Yu, M Sarwat 16th International Symposium on Spatial and Temporal Databases (SSTD), 2019 | 13 | 2019 |
| A history-based dynamic random software testing L Zhang, BB Yin, J Lv, KY Cai, SS Yau, J Yu 2014 IEEE 38th International Computer Software and Applications Conference …, 2014 | 13 | 2014 |
| Dissecting geosparksim: a scalable microscopic road network traffic simulator in apache spark J Yu, Z Fu, M Sarwat Distributed and Parallel Databases 38 (4), 963-994, 2020 | 12 | 2020 |
| Dynamic random testing with parameter adjustment Z Yang, B Yin, J Lv, K Cai, SS Yau, J Yu 2014 IEEE 38th International Computer Software and Applications Conference …, 2014 | 12 | 2014 |
| Systems and methods for an end-to-end visual analytics system for massive-scale geospatial data J Yu, Z Zhang, M Sarwat US Patent 11,188,557, 2021 | 11 | 2021 |
| The 1st ACM sigspatial international workshop on modeling and understanding the spread of covid-19 T Anderson, J Yu, A Züfle SIGSPATIAL Special 12 (3), 35-40, 2021 | 9 | 2021 |
| GeoSparkViz in Action: A Data System with built-in support for Geospatial Visualization J Yu, A Tahir, M Sarwat 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019 | 9 | 2019 |
| Building a Large-Scale Microscopic Road Network Traffic Simulator in Apache Spark Z Fu, J Yu, M Sarwat International Conference on Mobile Data Management (MDM), 2019 | 9 | 2019 |
Jinxuan WuPhd Student, Arizona State UniversityVerified email at asu.edu
