Riverside, California, USA
zshan011@ucr dot edu
Résumé
Work Repositories
I am Zhuocheng Shang,
currently a PhD student at
University of California, Riverside
under the supervision of
Prof. Ahmed Eldawy.
Research Interests:
Big Data
Spatial Data
Distributed System
Query Optimization
Database System
Foundation Model
Current Research
As foundation models are increasingly applied to complex remote sensing data, my current research focuses on the gap between models' spatial understanding and the true spatial context of remote sensing imagery, exploring data generation, spatial reasoning, and spatial question-answering for both vector and raster data.
Publications
2025
AgriParcel: Geometry Farmlands Generation Framework for Comprehensive Agricultural Analysis,
In Proceedings of the 8th ACM SIGSPATIAL Workshop on GeoAI, November, 2025.
FieldSAT: A Scalable Query Workflow for Precision Agriculture with Large Raster Datasets,
In Proceedings of the 33rd ACM SIGSPATIAL, November, 2025. Best Application Paper.
Demonstration of FutureFarmNow: Interactive Spatial Data Exploration for Precision Agriculture,
In Proceedings of the 33rd ACM SIGSPATIAL, November, 2025.
Scalable Raster Processing: Models, Systems, Algorithms, and Open Challenges,
In Proceedings of the 33rd ACM SIGSPATIAL, November, 2025.
RDPro: Distributed Processing of Big Raster Data, In Proceedings of VLDB, September, 18, 2025.
2024
DynoViz: Dynamic Visualization of Large Scale Satellite Data, In Proceedings of the 12th SIGSPATIAL
Workshop on BigSpatial, September, 2024.
2023
Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model
on generating crop-type maps using satellite imagery for precision agriculture, In Proceedings of NeurIPS
2023 Workshop, AI4Science.
Viper: Interactive Exploration of Large Satellite Data, In Proceedings of the 18th SSTD, August, 2023.
Top 5 Paper.
2022
Object Delineation in Satellite Images, In Proceedings of the 4th ACM SIGSPATIAL International Workshop
on Spatial Gems, November, 2022.
Work Experiences
June - Sep, 2025Software Engineering Internship @ Wherobots
Software Engineering
Implemented a new Geography data type in Apache Sedona, developing complete object representations, serialization pipelines, constructor functions, spatial functions, and seamless conversion mechanisms between Geometry and Geography types.
Education
2021 - PresentUniversity of California, Riverside
PhD Student
2019 - 2021
University of California, Riverside
M.S. Computer Science
2014 - 2019
Lindenwood University, Missouri
B.S. Computer Science
Talks
Tutorial talk at SIGSPATIAL: Scalable Raster Processing: Models, Systems, Algorithms, and Open Challenges (November, 03, 2025)UCR DS Fellowship workshop: Intro to Satellite Data processing (August, 07, 2023)
UCR gradquant workshop: Bringing Satellite Data Down to Earth (May, 17, 2023)
Teaching Assistant
CS 167 - Introduction to Big Data (Winter 2023)CS 226 - Big-data Management (Fall 2022)
Award
First winner at SIGSPATIAL SRC, 2025End-to-end raw scalable raster processing with customized pipeline and foundation model integration, In Proceedings of the 33rd ACM SIGSPATIAL, November, 2025.