Accepted Papers

Research Papers

  • Clustering augmented Self-Supervised Learning: An application to Land Cover Mapping
    Rahul Ghosh (University of Minnesota), Xiaowei Jia (University of Pittsburgh), Leikun Yin (University of Minnesota), Chenxi Lin (University of Minnesota), Zhenong Jin (University of Minnesota), Vipin Kumar (University of Minnesota)
  • TrafficAdaptor: An Adaptive Obfuscation Strategy for Vehicle Location Privacy Against Traffic Flow Aware Attacks
    Chenxi Qiu (University of North Texas), Yan Li (Xi'an Jiaotong University), Anna Squicciarini (The Pennsylvania State University), Juanjuan Zhao (Shenzhen Institute of Advanced Technology), Chengzhong Xu (University of Macau), Primal Pappachan (The Pennsylvania State University)
  • When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?
    Xu Liu (National University of Singapore), Yuxuan Liang (National University of Singapore), Chao Huang (University of Hong Kong), Yu Zheng (JD Intelligent Cities Research,JD iCity, JD Technology), Bryan Hooi (National University of Singapore), Roger Zimmermann (National University of Singapore)
  • Network-less Trajectory Imputation
    Mohamed M. Elshrif (Qatar Computing Research Institute (QCRI) - Hamad Bin Khalifa University (HBKU)), Keivin Isufaj (Qatar Computing Research Institute (QCRI) - Hamad Bin Khalifa University (HBKU)), Mohamed F. Mokbel (University of Minnesota, Twin Cities)
  • EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from Egocentric Video Data
    Yichen Ding ( The University of Iowa), Ziming Zhang ( Worcester Polytechnic Institute), Yanhua Li ( Worcester Polytechnic Institute (WPI)), Xun Zhou ( University of Iowa)
  • Periodic Residual Learning for Crowd Flow Forecasting
    Chengxin Wang (National University of Singapore), Yuxuan Liang (National University of Singapore), Gary Tan (National University of Singapore)
  • Spatio-Temporal Graph Convolutional Network for Stochastic Traffic Speed Imputation
    Carlos Enrique Muniz Cuza (Aalborg University), Nguyen Ho (Aalborg University), Eleni Tzirita Zacharatou (IT University of Copenhagen), Torben Bach Pedersen (Aalborg University), Bin Yang (Aalborg University)
  • Dynamic Graph Combinatorial Optimization with Multi-Attention Deep Reinforcement Learning
    Udesh Gunarathna (The University of Melbourne), Renata Borovica-Gajic (The University of Melbourne), Shanika Karunasekera (The University of Melbourne), Egemen Tanin (The University of Melbourne)
  • Computing the Relative Value of Spatio-Temporal Data in Data Marketplaces
    Santiago Andrés Azcoitia (IMDEA Networks Institute,Universidad Carlos III de Madrid), Marius Paraschiv (IMDEA Networks Institute), Nikolaos Laoutaris (IMDEA Networks Institute)
  • Aggregating Community Maps
    Erin Chambers (Saint Louis University), Moon Duchin (Tufts University), Ranthony A.C. Edmonds (Ohio State University), Parker Edwards (Notre Dame University), J.N. Matthews (University of Chicago), Anthony Pizzimenti (George Mason University), Chanel Richardson (Tufts University), Parker Rule (Tufts University), Ari Stern (Washington University in St. Louis)
  • A Plug-in Memory Network for Trip Purpose Classification
    Suxing Lyu (The University of Tokyo), Tianyang Han (The University of Tokyo), Yuuki Nishiyama (The University of Tokyo), Kaoru Sezaki (The University of Tokyo), Takahiko Kusakabe (The University of Tokyo)
  • On the Generalized Frechet Distance and its Applications
    Theodor Gutschlag (University Konstanz), Sabine Storandt (University of Konstanz)
  • Mining fuzzy sub-prevalent co-location pattern with dominant feature
    Kaifang Xiong (Yunnan University), Hongmei Chen (Yunnan University,Yunnan University), Lizhen Wang (Yunnan University,Yunnan University), Qing Xiao (Yunnan University)
  • U-ASK: A Unified Architecture for kNN Spatial-Keyword Queries Supporting Negative Keyword Predicates
    Yongyi Liu (University of California, Riverside), Amr Magdy (University of California, Riverside)
  • Sailing in the Location-Based Fairness-Bias Sphere
    Erhu He ( University of Pittsburgh), Yiqun Xie ( University of Maryland), Xiaowei Jia ( University of Pittsburgh), Weiye Chen ( University of Maryland), Han Bao ( University of Iowa), Xun Zhou ( University of Iowa), Zhe Jiang ( University of Florida), Rahul Ghosh ( University of Minnesota), Praveen Ravirathinam ( University of Minnesota)
  • Learning Citywide Patterns of Life from Trajectory Monitoring
    Mark Tenzer (Novateur Research Solutions), Zeeshan Rasheed (Novateur Research Solutions), Khurram Shafique (Novateur Research Solutions)
  • History Oblivious Route Recovery on Road Networks
    Theodoros Chondrogiannis (University of Konstanz), Johann Bornholdt (University of Konstanz), Panagiotis Bouros (Johannes Gutenberg University Mainz), Michael Grossniklaus (University of Konstanz)
  • Meta-Learning over Time for Destination Prediction Tasks
    Mark Tenzer (Novateur Research Solutions), Zeeshan Rasheed (Novateur Research Solutions), Khurram Shafique (Novateur Research Solutions), Nuno Vasconcelos (UC San Diego)
  • Modeling the Small-World Phenomenon with Road Networks
    Michael Goodrich (University of California, Irvine), Evrim Ozel (University of California, Irvine)
  • The Pit Stop Problem: How to Plan Your Next Road Trip
    Sreenivas Gollapudi (Google), Kostas Kollias (Google), Debmalya Panigrahi (Duke University)
  • GSViz: Progressive Visualization of Geospatial Influences in Social Networks
    Sadeem Alsudais ( UCI), Qiushi Bai ( UCI), Shuang Zhao ( UCI), Chen Li ( UCI)
  • MTTPRE: A Multi-Scale Spatial-Temporal Model for Travel Time Prediction
    Feng Wan (Hikvision research institute), Linsen Li (Hikvision research institute,Zhejiang university), Ke Wang (Hikvision research institute), Lu Chen (Zhejiang university), Yunjun Gao (Zhejiang university), Weihao Jiang (Hikvision research institute), Shiliang Pu (Hikvision research institute)
  • Reviving the Economy While Saving Lives: A Deep Reinforcement Learning Approach for Smart POI Reopening
    Tao Feng (Tsinghua University), Huandong Wang (Tsinghua University), Xiaochen Fan (Tsinghua University), Tong Xia (University of Cambridge), Yong Li (Tsinghua University)
  • Factorized Deep Generative Models for End-to-End Trajectory Generation with Spatiotemporal Validity Constraints
    Liming Zhang (George Mason University), Liang Zhao (Emory University), Dieter Pfoser (George Mason University)
  • How do you go where? Improving next location prediction by learning travel mode information using transformers
    Ye Hong ( Institute of Cartography and Geoinformation ETH Zurich), Henry Martin ( Institute of Cartography and Geoinformation ETH Zurich), Martin Raubal ( Institute of Cartography and Geoinformation ETH Zurich)
  • FastAddr: Real-time Abnormal Address Detection via Contrastive Augmentation for Location-based Services
    Zhiqing Hong (Rutgers University), Heng Yang (Beijing Institute of Computer Technology and Application), Haotian Wang (JD Logistics), Wenjun Lyu (Rutgers University), Yu Yang (Lehigh University), Guang Wang (Florida State University), Yunhuai Liu (Peking University), Yang Wang (University of Science and Technology of China), Desheng Zhang (Rutgers University)
  • Zebra Regression: Estimating Motion of Periodically-emitted Particles From Unlabeled sightings
    Yuyan Wang ( Carnegie Mellon University), Senaka Buthpitiya ( Google Research), Alex Fabrikant ( Google Research)
  • Maximum Entropy Bridgelets for Trajectory Completion
    John Krumm ( Microsoft)
  • Concurrent Optimization of Safety and Traffic Flow using Deep Reinforcement Learning for Autonomous Intersection Management
    Lakmal Muthugama (The University of Melbourne), Hairuo Xie (The University of Melbourne), Egemen Tanin (The University of Melbourne), Shanika Karunasekera (The University of Melbourne), Udesh Gunarathna (The University of Melbourne)
  • Analyzing Sensitive Information Leakage in Trajectory Embedding Models
    Jiaxin Ding (Shanghai Jiao Tong University), Shichuan Xi (Shanghai Jiao Tong University), Kailong Wu (Shanghai Jiao Tiong University), Pan Liu (Shanghai Jiao Tong University), Xinbing Wang (Shanghai Jiao Tong University), Chenghu Zhou (Institute of Geographical Science and Natural Resources Research, Chinese Academy of Sciences)
  • MinerFinder: A GAE-LSTM method for predicting location of miners in underground mines
    Abhay Goyal (Missouri University of Science and Technology), Sanjay Madria (Missouri S & T), Samuel Frimpong (Missouri University of Science and Technology)
  • Leveraging Language Foundation Models for Human Mobility Forecasting
    Hao Xue (University of New South Wales), Bhanu Prakash Voutharoja (University of Wollongong,University of New South Wales), Flora D. Salim (University of New South Wales)
  • A Co-Training Approach for Spatial Data Disaggregation
    João Monteiro (Universidade de Lisboa, IST/INESC-ID), Bruno Martins (Universidade de Lisboa, IST/INESC-ID), Miguel Costa (Vodafone), João M. Pires (Universidade NOVA de Lisboa, FCT/NOVA-LINCS)
  • Multi-Task Graph Neural Network for Truck Speed Prediction Under Extreme Weather Conditions
    Reza Safarzadeh Ramhormozi (University of Calgary), Arash Mozhdehi (University of Calgary), Saeid Kalantari (University of Calgary), Yunli Wang (National Research Council Canada), Sun Sun (National Research Council Canada), Xin Wang (University of Calgary)
  • Towards a Tighter Bound on Possible-Rendezvous Areas: Preliminary Results
    Arun Sharma (University of Minnesota), Jayant Gupta (University of Minnesota), Subhankar Ghosh (University of Minnesota)
  • Mining Taxonomy-aware Colocations: A Summary of Results
    Jayant Gupta (University of Minnesota), Arun Sharma (University of Minnesota)
  • Online Trajectory Prediction for Metropolitan Scale Mobility Digital Twin
    Zipei Fan (University of Tokyo), Xiaojie Yang (University of Tokyo), Wei Yuan (The University of Tokyo), Renhe Jiang (University of Tokyo), Quanjun Chen (University of Tokyo), Xuan Song (Southern University of Science and Technology), Ryosuke Shibasaki (University of Tokyo)
  • VAE based domain adaptation for cloud property retrieval from multi-satellite data
    Xin Huang (University of Maryland Baltimore County), Chenxi Wang (NASA/GSFC/University of Maryland Baltimore County), Sanjay Purushotham (University of Maryland Baltimore County), Jianwu Wang (Department of Information Systems, University of Maryland, Baltimore County)

Systems and Industrial Experience Papers

  • Fine-grained Dynamic Load Balancing in Spatial Join by Work Stealing on Distributed Memory
    Jie Yang (Marquette University), Satish Puri (Marquette University), Hui Zhou (Argonne National Lab)
  • TorchGeo: Deep Learning With Geospatial Data
    Adam J. Stewart (University of Illinois at Urbana-Champaign), Caleb Robinson (Microsoft), Isaac A. Corley (University of Texas at San Antonio), Anthony Ortiz (Microsoft), Juan M. Lavista Ferres (Microsoft), Arindam Banerjee (University of Illinois at Urbana-Champaign)
  • Realistic Urban Traffic Simulation with Ride-Hailing Services: A Revisit to Network Kernel Density Estimation
    Jalal Khalil ( The University of Alabama at Birmingham), Da Yan ( The University of Alabama at Birmingham), Lyuheng Yuan ( The University of Alabama at Birmingham), Mostafa Jafarzadehfadaki ( The University of Alabama at Birmingham), Saugat Adhikari ( The University of Alabama at Birmingham), Virginia Sisiopiku ( The University of Alabama at Birmingham), Zhe Jiang ( University of Florida)
  • Evaluating and Forecasting the Operational Performance of Road Intersections
    Ali Nematichari (York University), Tilemachos Pechlivanoglou (York University), Manos Papagelis (York University)
  • Multi-view traffic sign localization with high absolute accuracy in real-time at the edge
    ABM Musa (Amazon)
  • CoMiner: Nationwide Behavior-driven Unsupervised Spatial Coordinate Mining from Uncertain Delivery Events
    Zhiqing Hong (Rutgers University), Guang Wang (Florida State University), Wenjun Lyu (Rutgers University), Baoshen Guo (Southeast University), Yi Ding (University of Minnesota), Haotian Wang (JD Logistics), Shuai Wang (Southeast University), Yunhuai Liu (Peking University), Desheng Zhang (Rutgers University)
  • Detection of Non-designated Shelters by Extracting Population Concentrated Areas after a Disaster
    Keiichi Ochiai (NTT DOCOMO, INC.), Masayuki Terada (NTT DOCOMO, INC.), Makoto Hanashima (National Research Institute for Earth Science and Disaster Resilience), Hiroaki Sano (National Research Institute for Earth Science and Disaster Resilience), Yuichiro Usuda (National Research Institute for Earth Science and Disaster Resilience)
  • A Simulation Study on Prioritizing Connected Freight Vehicles at Intersections for Traffic Flow Optimization
    Hairuo Xie ( University of Melbourne), Renata Borovica-Gajic ( University of Melbourne), Egemen Tanin ( University of Melbourne), Shanika Karunasekera ( University of Melbourne), Udesh Gunarathna ( University of Melbourne), Gilbert Oppy ( Telstra), Majid Sarvi ( University of Melbourne)
  • Simultaneous Detection of Multiple Areas-of-Interest Using Geospatial Data from an Online Food Delivery Platform
    Bingnan Li ( University of New South Wales), Liying Chen ( Meituan), Daping Xiong ( Meituan), Shuiping Chen ( Meituan), Renqing He ( Meituan), Zhizhao Sun ( Meituan), Samsung Lim ( The University of New South Wales), Hai Jiang ( Tsinghua University)
  • Learning Geospatially Aware Place Embeddings via Weak Supervision
    Vamsi Krishna Penumadu (Amazon), Nitesh Methani (Amazon), Saurabh Sohoney (Amazon)
  • Automatic Generation of Areas of Interest Using Multimodal Geospatial Data from an On-demand Food Delivery Platform
    Liying Chen (Meituan), Daping Xiong (Meituan), Shuiping Chen (Meituan), Fangxiao Du (Meituan), Renqing He (Meituan), Zhizhao Sun (Meituan)

Vision Papers

  • A Geospatial Modelling Framework to Assess Flood Risk Under Future Scenarios of Urban Form (Vision Paper)
    Richard Burke, Jin Xing, Alistair Ford and Richard Dawson
  • Electric Vehicle Charging: It is not as simple as charging a smartphone (Vision Paper)
    Saeed Nasehibasharzad, Farhana Choudhury, Egemen Tanin, Lachlan Andrew, Hanan Samet and Majid Sarvi
  • Let's Speak Trajectories (Vision Paper)
    Mashaal Musleh, Mohamed Mokbel and Sofiane Abbar
  • Vision Paper: Causal Inference for Interpretable and Robust Machine Learning in Mobility Analysis
    Yanan Xin, Natasa Tagasovska, Fernando Perez-Cruz and Martin Raubal
  • Geospatial Accessibility and Inclusion by Combining Contextual Filters
    Yaron Kanza, Balachander Krishnamurthy and Divesh Srivastava
  • Towards a Foundation Model for Geospatial Artificial Intelligence (Vision Paper)
    Gengchen Mai, Chris Cundy, Kristy Choi, Yingjie Hu, Ni Lao and Stefano Ermon

Poster Papers

  • Learned k-NN Distance Estimation
    Daichi Amagata ( Osaka University), Yusuke Arai ( Osaka University), Sumio Fujita ( Yahoo Japan Corporation), Takahiro Hara ( Osaka University)
  • An adversarial variational inference approach for travel demand calibration of urban traffic simulators
    Martin Mladenov (Google Research), Sanjay Ganapathy Subramaniam (Google Research), Chih-Wei Hsu (Google Research), Neha Arora (Google Research), Andrew Tomkins (Google Research), Craig Boutilier (Google Research), Carolina Osorio (Google Research,HEC Montreal)
  • Estimating counterfactual treatment outcomes over time in multi-vehicle simulation
    Keisuke Fujii (Nagoya University), Koh Takeuchi (Kyoto University), Atsushi Kuribayashi (Nagoya University), Naoya Takeishi (HES-SO), Yoshinobu Kawahara (Kyushu University), Kazuya Takeda (Nagoya University)
  • Will there be a construction? Predicting road constructions based on heterogeneous spatiotemporal data
    Amin Karimi Monsefi (The Ohio State University), Sobhan Moosavi (Lyft Inc.), Rajiv Ramnath (The Ohio State University)
  • Mirage: An Efficient and Extensible City Simulation Framework
    Jun Zhang (Tsinghua University,TsingRoc), Yong Li (Tsinghua University), Depeng Jin (Tsinghua University)
  • GEO-BLEU: Similarity Measure for Geospatial Sequences
    Toru Shimizu (Yahoo Japan Corporation), Kota Tsubouchi (Yahoo Japan Corporation), Takahiro Yabe (Massachusetts Institute of Technology,Purdue University)
  • Photovoltaic Cells for Energy Harvesting and Indoor Positioning
    Hamada Rizk (Osaka University), Dong Ma (Singapore Management University), Mahbub Hassan (University of New South Wales), Moustafa Youssef (Alexandria University)
  • OSMX: Spark-based Geospatial Data Extractor from OpenStreetMap
    Samriddhi Singla (University of California, Riverside), Yaming Zhang (Tencent Technology Co.), Ahmed Eldawy (University of California, Riverside)
  • Generating Community Road Network from GPS Trajectories via Style Transfer
    Jiawei Li (Meituan), Linkun Lyu (Meituan), Jia Shi (Meituan), Jie Zhao (Meituan), Junjie Xu (Meituan), Jiuchong Gao (Meituan), Renqing He (Meituan), Zhizhao Sun (Meituan)
  • Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations
    Maximilian Bernhard (LMU Munich), Matthias Schubert (LMU Munich)
  • Spatial Embeddings: A Generic Machine Learning Model for Spatial Query Optimization
    Alberto Belussi ( Dept. of Computer Science University of Verona), Sara Migliorini ( Dept. of Computer Science University of Verona), Ahmed Eldawy ( University of California Riverside)
  • TStream: A Framework for Real-time and Scalable Trajectory Stream Processing and Analysis
    Salman Ahmed Shaikh ( National Institute of Advanced Industrial Science and Technology (AIST)), Hiroyuki Kitagawa ( University of Tsukuba), Akiyoshi Matono ( National Institute of Advanced Industrial Science and Technology (AIST)), Kyoung-Sook Kim ( National Institute of Advanced Industrial Science and Technology (AIST))
  • A Novel Framework for Handling Sparse Data in Traffic Forecast
    Nikolaos Zygouras (Huawei Amsterdam Research Center), Dimitrios Gunopulos (National and Kapodistrian University of Athens)
  • Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass
    Stefan Oehmcke (University of Copenhagen), Lei Li (University of Copenhagen), Jaime C. Revenga (University of Copenhagen), Thomas Nord-Larsen (University of Copenhagen), Katerina Trepekli (University of Copenhagen), Fabian Gieseke (University of Münster), Christian Igel (University of Copenhagen)
  • Region2Vec: Community Detection on Spatial Networks Using Graph Embedding with Node Attributes and Spatial Interactions
    Yunlei Liang ( Geospatial Data Science Lab University of Wisconsin-Madison), Jiawei Zhu ( School of Geosciences and Info-physics Central South University), Wen Ye ( Geospatial Data Science Lab University of Wisconsin-Madison), Song Gao ( Geospatial Data Science Lab University of Wisconsin-Madison)
  • How Routing Strategies Impact Urban Emissions
    Giuliano Cornacchia (University of Pisa,ISTI-CNR), Matteo Bohm (Sapienza University of Rome,ISTI-CNR), Giovanni Mauro (University of Pisa,ISTI-CNR), Mirco Nanni (ISTI-CNR), Dino Pedreschi (University of Pisa), Luca Pappalardo (ISTI-CNR)
  • Gradual Road Network Simplification with Shape and Topology Preservation
    Lukas Baur (University of Stuttgart), Stefan Funke (University of Stuttgart), Tobias Rupp (University of Stuttgart), Sabine Storandt (University of Konstanz)
  • Physically Consistent Map Matching
    Bram Custers (TU Eindhoven), Wouter Meulemans (TU Eindhoven), Marcel Roeloffzen (TU Eindhoven), Bettina Speckmann (TU Eindhoven), Kevin Verbeek (TU Eindhoven)
  • Mining SpatioTemporally Invariant Patterns
    Luca Colomba ( Politecnico di Torino), Luca Cagliero ( Politecnico di Torino), Paolo Garza ( Politecnico di Torino)
  • Per Segment Sweep Line Algorithm for Geometric Intersection on the GPU
    Roger Frye (Southern Illinois University), Mark Mckenney (Southern Illinois University)
  • Network-aware Multi-agent Reinforcement Learning for the Vehicle Navigation Problem
    Fazel Arasteh (York University), Soroush Sheikh Gargar (York University), Manos Papagelis (York University)
  • Exploring multilevel regularity in human mobility patterns using a feature engineering approach: A case study in Chicago
    Yuhan Ji ( University of Wisconsin Madison), Song Gao ( University of Wisconsin Madison), Jacob Kruse ( University of Wisconsin Madison), Tam Huynh ( Arity), James Triveri ( Arity), Chris Scheele ( Arity), Collin Bennett ( Arity), Yicheng Wen ( Arity)
  • Deep Spatial Prediction via Heterogeneous Multi-Source Self-Supervision
    Minxing Zhang (Emory University), Dazhou Yu (Emory University), Yun Li (Emory University), Liang Zhao (Emory University)
  • Long-term Multi-dimensional Spatial-Temporal Graph Convolution for Urban Sensors Imputation and Augmentation
    Longji Huang ( Xidian University), Jianbin Huang ( Xidian University), He Li ( Xidian University)
  • SMP: Scalable Max-P Regionalization
    Hussah Alrashid (University of California Riverside), Yongyi Liu (University of California Riverside), Amr Magdy (University of California Riverside)
  • Improving epidemic risk maps using mobility information from mobile network data
    Elisa Cabana (IMDEA Networks Institute), Andra Lutu (Telefonica Research), Enrique Frias-Martinez (Universidad Camilo Jose Cela), Nikolaos Laoutaris (IMDEA Networks Institute)
  • W-Trace: Robust and Effective Watermarking for GPS Trajectories
    Rajjat Dadwal (L3S Research Center, Leibniz University Hannover), Thorben Funke (L3S Research Center, Leibniz University Hannover), Michael Nüsken (Bonn-Aachen International Center for Information Technology, University of Bonn), Elena Demidova (Data Science & Intelligent Systems (DSIS) Research Group, University of Bonn)
  • Toward hierarchical similarity measure to characterise dynamic hierarchical graphs
    Maryam Maslek Elayam ( Naval Academy Research Institute), Cyril Ray ( Naval Academy Research Institute), Christophe Claramunt ( Naval Academy Research Institute)
  • TSNE: Trajectory Similarity Network Embedding
    Jiaxin Ding (Shanghai Jiao Tong University), Bowen Zhang (Shanghai Jiao Tong University), Xinbing Wang (Shanghai Jiao Tong University), Chenghu Zhou (Institute of Geographical Science and Natural Resources Research, Chinese Academy of Sciences)
  • Understanding Economic Development in Rural Africa using Satellite Imagery, Building footprints and Deep Models
    Amna Elmustafa (African Institute for Mathematical Sciences), Erik Rozi (Stanford university), Yutong He (Stanford university), Gengchen Mai (Stanford university), Stefano Ermon (Stanford university), David Lobell (Stanford university), Marshall Burke (Stanford university)
  • High-accuracy GNSS Localization with Low-cost
    ABM Musa (Amazon), Chris Baker (Amazon), Emre Eftelioglu (Amazon), Amber Roy Chowdhury (Amazon)
  • GeoTorch: A Spatiotemporal Deep Learning Framework
    Kanchan Chowdhury (Arizona State University), Mohamed Sarwat (Arizona State University)
  • Spatial Parquet: A Column File Format for Geospatial Data Lakes
    Majid Saeedan ( University of California Riverside), Ahmed Eldawy ( University of California Riverside)

Demo Papers

  • Motorch: An On-Device Trajectory Data Management System During a Pandemic (Demo Paper)
    Chen Wu, Sheng Wang and Zhiyong Peng|
  • e-SMARTS: A System to Simulate Intelligent Traffic Management Solutions [Demo Paper]
    Udesh Gunarathna, Renata Borovica-Gajic, Shanika Karunasekera and Egemen Tanin|
  • An Elevation-Guided Annotation Tool for Flood Extent Mapping on Earth Imagery (Demo Paper)
    Saugat Adhikari, Da Yan, Mirza Tanzim Sami, Jalal Khalil, Lyuheng Yuan, Bhadhan Roy Joy, Zhe Jiang and Arpan Man Sainju|
  • A Framework Towards Solving the Mobile Crowd-sourcing Coverage Question (Demo Paper)
    Shu Chen, Fahim Ahmed, Fan Bai and Donald Grimm|
  • RODGEN: An Interactive Interface for Road Network Generation (Demo Paper)
    Claudia Perez Martinez, Panagiotis Bouros and Theodoros Chondrogiannis|
  • PATHFINDER VIS (Demo Paper)
    Tobias Rupp, Stefan Funke and Lukas Baur|
  • Tour4Me: A Framework for Customized Tour Planning Algorithms (Demo Paper)
    Kevin Buchin, Mart Hagedoorn and Guangping Li|
  • Connected Vehicle Simulation Framework for Parking Occupancy Prediction (Demo Paper)
    Lukas Vorwerk, Pierpaolo Resce, Zhiwei Han, Giuliano Cornacchia, Omid Isfahanialamdari, Mirco Nanni, Luca Pappalardo, Daniel Weimer and Yuanting Liu|
  • Evaluating the vulnerability of ISO 19100 and S-100 standards through visual approaches (Demo Paper)
    Gauthier Vigouroux, Pedro Merino Laso, Christophe Claramunt and Nathalie Leidinger|
  • Playable Ray Tracing for Real-time Exploration of Radio Propagation in Wireless Networks (Demo Paper)
    Krystian Czapiga, Serkan Isci, Yaron Kanza, James T. Klosowski, Velin Kounev and Gopal Meempat|
  • Active Learning for Transformer Models in Direction Query Tagging (Demo Paper)
    Jasper Huang, Chiqun Zhang, Dragomir Yankov, Maryam Najafabadi and Tsheko Mutungu|
  • Knowledge Explorer: Exploring the 12-Billion-Statement KnowWhereGraph Using Faceted Search (Demo Paper)
    Zilong Liu, Zhining Gu, Thomas Thelen, Seila Estrecha, Rui Zhu, Colby Fisher, Anthony D'Onofrio, Cogan Shimizu, Krzysztof Janowicz, Mark Schildhauer, Shirly Stephen, Dean Rehberger, Wenwen Li and Pascal Hitzler|
  • A Simulation Framework for Evaluating Strategies for Sustainable Nutritional Security (Demo Paper)
    Angelica Valencia Torres, Chetan Tiwari and Sam Atkinson|
  • Efficient Network-Constrained Trajectory Queries (Demo Paper)
    Kristian Torp and Magnus N. Hansen|
  • Algorithmically-Assisted Interactve Metro Map Design (Demo Paper)
    Thomas C. Van Dijk and Tim Janiak|
  • Infrastructure for Spatiotemporal Exploration of Interregional and International interaction of Epidemiological Data (DEMO PAPER)
    Adam Mertel, Wildan Abdussalam, Jiří Vyskočil and Justin Calabrese|
  • Crowd-sensing Driving Environments using Headway Dynamics (Demo Paper)
    Richard Gordon, Donald Grimm and Fan Bai|
  • Exploring Intercity Regional Similarity Using Worldwide Location-based Social Network Data (Demo Paper)
    Zipei Fan, Guixu Lin, Wei Yuan, Pengpeng E, Xuan Song and Ryosuke Shibasaki|
  • SPEAR-Board: Cross-Platform Interactive Spatio-Temporal Big Data Analytics (Demo Paper)
    Furqan Baig, Pradeep Nalluri, Dejun Teng, Jun Kong and Fusheng Wang|
  • Wind Awareness for Energy Consumption in Drone Simulations (Demo Paper)
    Noah Kelleher, Ricardo Ramirez, Adnan Salihovic, Nathan McKay, Jonathan Kelly, Hengwei Chen and Goce Trajcevski|

GIS-Cup Papers

  • Deep Semantic Segmentation for Building Detection Using Knowledge-Informed Features from LiDAR Point Clouds
    Weiye Chen (University of Maryland), Zhihao Wang (University of Maryland), Zhili Li (University of Maryland), Yiqun, Xie (University of Maryland), Xiaowei Jia (University of Pittsburgh), Anlin Li (Carnegie Mellon University)
  • An Unsupervised Building Footprints Delineation Approach for Large-Scale LiDAR Point Clouds
    Xin Xu (University of Maryland)
  • Challenges in Building Extraction from Airborne LiDAR Data: Ground-truth, Building Boundaries, and Evaluation Metrics
    Hunsoo Song (Purdue University), Jinha Jung (Purdue University)

Student Research Competition Papers

  • Towards A Unified Deep Model for Trajectory Analysis
    Mashaal Musleh (University of Minnesota)
  • Towards Developing Energy Efficient Algorithms to Discover Partial Periodic Patterns in Big Temporal Databases
    Palla Likhitha (University of Aizu), Rage Uday Kiran (University of Aizu)
  • Choosing Feature Selection Methods for Spatial Modeling of Soil Fertility Properties at the Field Scale
    Caner Ferhatoglu (Iowa State University), Bradley A. Miller (Iowa State University)
  • Leveraging Spatio-temporal Features to Forecast Time-To-Accident
    Taif Anjum (University of British Columbia), Beiyu Lin (University of Nevada-Las Vegas), Apurva Narayan (University of British Columbia)
  • Spatiotemporal Heterogeneities of the Associations between Human Mobility and Close Contacts with COVID-19 infections in the United States
    Wen Ye (Geospatial Data Science Lab, University of Wisconsin-Madison), Song Gao (Geospatial Data Science Lab, University of Wisconsin-Madison)
  • Sharing Without Caring: Privacy Protection of Users’ Spatio-Temporal Data Without Compromise on Utility
    Ren Ozeki (Osaka University) and Haruki Yonekura (Osaka University), Hamada Rizk (Osaka University) and Hirozumi Yamaguchi (Osaka University)
  • MagttLoc: Decimeter Indoor Localization System Using Commercial Devices
    Farah Youssef (Alexandria University) and Sara Elmogy (Kafrelsheikh University), Hamada Rizk (Osaka University)
  • Personalized individual trajectory prediction via Meta-Learning
    He Zhu (Southern University of Science and Technology), Liyu Zhang (Southern University of Science and Technology), Zipei Fan (University of Tokyo)
  • Quantum Classifiers for Remote Sensing Johann Maximilian Zollner (Technical University of Munich)