ACM SIGSPATIAL 2025 – Accepted Short Papers

  • Streamlining Vehicle Logistics: Maximizing Pickup and Delivery While Considering Loading and Unloading Costs
    Kousik Kumar Dutta (Indian Institute of Technology Ropar), and Venkata M. V. Gunturi (University of Hull)
  • Iti-Validator: A Guardrail Framework for Validating and Correcting LLM-Generated Itineraries
    Shravan Gadbail (Data Sciences and Analytics Center, International Institute of Information Technology), Masumi Desai (Data Sciences and Analytics Center, International Institute of Information Technology Hyderabad), and Kamalakar Karlapalem (Data Sciences and Analytics Center, International Institute of Information Technology Hyderabad)
  • A Spatially Adapted SHAP Approach for Interpreting Deep Bike Usage Learning and Prediction
    Congcong Miao (University of Connecticut), Suining He (University of Connecticut), Yuyao Li (University of Connecticut), and Chuanrong Zhang (University of Connecticut)
  • MapLibre Tile: A Next Generation Vector Tile Format
    Markus Tremmel (Rohde & Schwarz GmbH & Co. KG), and Roland Zink (Deggendorf Institute of Technology)
  • Exploiting Polygon Metadata to Recolor Historical Maps
    Fandel Lin (USC Information Sciences Institute), Craig Knoblock (USC Information Sciences Institute), Binh Vu (University of Southern California), and Yao-Yi Chiang (University of Minnesota)
  • Exploiting Polygon Metadata to Colorize Draft Maps
    Fandel Lin (USC Information Sciences Institute), Craig Knoblock (USC Information Sciences Institute), Binh Vu (University of Southern California), Basel Shbita (IBM Research), and Yao-Yi Chiang (University of Minnesota)
  • Spatial Regionalization: A Hybrid Quantum Computing Approach
    Yunhan Chang (Department of Computer Science and Engineering, University of California, Riverside), Amr Magdy (Department of Computer Science and Engineering, University of California, Riverside), Federico Spedalieri (Department of Electrical and Computer Engineering, USC), and Ibrahim Sabek (Department of Computer Science, USC)
  • Classical Feature Embeddings Help in BERT-Based Human Mobility Prediction
    Yunzhi Liu (University of New South Wales), Haokai Tan (University of New South Wales), Rushi Kanjaria (University of New South Wales), Lihuan Li (University of New South Wales), and Flora D. Salim (University of New South Wales)
  • Modeling Stopped Vehicle Dynamics on Urban Backstreets via GraphLSTM-Attn: A Context-Aware GeoAI Approach
    Jiwon Kim (Ewha Womans University), Jiyoon Lee (Ewha Womans University), and Youngok Kang (Ewha Womans University)
  • VisitFrequency-Diffusion: Leveraging Recurrent Visits for Long-Term Individual Trajectory Forecasting
    Ziyan Yang (School of Information Engineering, China University of Geosciences, Beijing), Shuhui Gong (School of Information Engineering, China University of Geosciences, Beijing), Xinqi Liu (School of Information Engineering, China University of Geosciences, Beijing), Jiahao Lv (School of Information Engineering, China University of Geosciences, Beijing), Changjian Liu (School of Earth and Space Sciences, Peking University), Jilin Hu (East China Normal University, Shanghai Engineering Research Center of Big Data Management), and Hongbin Pei (School of Cyber Science and Engineering, Xian Jiaotong University)
  • TrafficNetQA: Question Answering Datasets for Evaluating LLM Performance on Traffic Network Files
    Donghoon Kwon (University of Minnesota), Seungmo Kang (Korea University), and Seongjin Choi (University of Minnesota)
  • ST-EMS: A Spatio-Temporal Framework for Forecasting Emergency Medical Service Demand and Adaptive Hospital Routing
    Sai Deepthi Yeddula (Oakland University), Sarath S. Shanker (Oakland University), Abhijeet Bhattacharya (Oakland University), Chen Jiang (Auburn University), Julian Rrushi (Oakland University), and Wei-Shinn Ku (Auburn University)
  • GeoFlow: Agentic Workflow Automation for Geospatial Tasks
    Amulya Bhattaram (University of Texas at Austin), Justin Chung (University of Texas at Austin), Stanley Chung (University of Texas at Austin), Ranit Gupta (University of Texas at Austin), Janani Ramamoorthy (University of Texas at Austin), Kartikeya Gullapalli (University of Texas at Austin), Diana Marculescu (University of Texas at Austin), and Dimitrios Stamoulis (University of Texas at Austin)
  • Fair-Coverage Facility Location: Optimizing Distance and Diversity
    Majid Mirzanezhad (Ohio University)
  • EfficientLocNet: High-Performance and Lightweight Radio Source Localization with Multi-Scale Attention
    Thanh Dat Le (University of North Texas), Sourabh Yadav (University of North Texas), Xinpeng Xie (University of North Texas), Chenxi Qiu (University of North Texas), Yan Huang (University of North Texas), and Xinrong Li (University of North Texas)
  • Enhancing Contrastive Learning for Geolocalization by Discovering Hard Negatives on Semivariograms
    Boyi Chen (Professorship Big Geospatial Data Management, School of Engineering and Design, Technical University of Munich), Zhangyu Wang (University of Maine), Fabian Deuser (University of the Bundeswehr Munich), Johann Maximilian Zollner (Professorship Big Geospatial Data Management, School of Engineering and Design, Technical University of Munich), and Martin Werner (Professorship Big Geospatial Data Management, School of Engineering and Design, Technical University of Munich)
  • Expert Guided Diffusion for Synthetic Aperture Radar Despeckling
    Ping-Chun Lin (University of Washington), Hayato Ushijima-Mwesigwa (Fujitsu Research of America), and Wing Yee Au (Fujitsu Research of America)
  • An Improvement to the Sliding Window Staypoint Detection Algorithm to Handle Dropouts
    Lance Kennedy (Emory University), and Andreas Züfle (Emory University)
  • TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting
    Lincan Li (Department of Computer Science, Florida State University), Eren Erman Ozguven (FAMU-FSU College of Engineering), Yue Zhao (University of Southern California), Guang Wang (Florida State University), Yiqun Xie (University of Maryland, College Park), and Yushun Dong (Florida State University)
  • A First Look at Predictability and Explainability of Pre-request Passenger Waiting Time in Ridesharing Systems
    Jie Wang (Independent Researcher), and Guang Wang (Florida State University)
  • LLM-Based Multi-Agent System and Simplicial Self-Supervised Learning Model for Regional Cancer Prevalence Estimation Using Satellite Imagery
    Jiue-An Yang (City of Hope Beckman Research Institute), Yuzhou Chen (University of California, Riverside), Calvin Tribby (City of Hope Beckman Research Institute), Huikyo Lee (NASA Jet Propulsion Laboratory), Loretta Erhunmwunsee (City of Hope Beckman Research Institute), Tarik Benmarhnia (University of California San Diego), Caroline Thompson (University of North Carolina at Chapel Hill), Yulia R. Gel (Virginia Polytechnic Institute and State University), and Marta Jankowska (City of Hope Beckman Research Institute)
  • MobText-SISA: Efficient Machine Unlearning for Mobility Logs with Spatio-Temporal and Natural-Language Data
    Haruki Yonekura (The University of Osaka, RIKEN Center for Computational Science), Ren Ozeki (The University of Osaka, Japan Meteorological Agency), Tatsuya Amano (The University of Osaka, RIKEN Center for Computational Science), Hamada Rizk (The University of Osaka, Tanta University, RIKEN Center for Computational Science), and Hirozumi Yamaguchi (The University of Osaka, RIKEN Center for Computational Science)