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SIGSPATIAL (2016-2021)

---2021---

  1. Attention-Based Spatial Interpolation for House Price Prediction. Darniton Viana, Luciano Barbosa. SIGSPATIAL/GIS 2021. paper
  2. Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu. SIGSPATIAL/GIS 2021. paper
  3. Air Pollution Hotspot Detection and Source Feature Analysis using Cross-Domain Urban Data. Yawen Zhang, Michael Hannigan, Qin Lv. SIGSPATIAL/GIS 2021. paper
  4. CityOutlook: Early Crowd Dynamics Forecast towards Irregular Events Detection with Synthetically Unbiased Regression. Soto Anno, Kota Tsubouchi, Masamichi Shimosaka. SIGSPATIAL/GIS 2021. paper
  5. Dual-Attention Multi-Scale Graph Convolutional Networks for Highway Accident Delay Time Prediction. I-Ying Wu, Fandel Lin, Hsun-Ping Hsieh. SIGSPATIAL/GIS 2021. paper
  6. Fréchet kernel for trajectory data analysis. Koh Takeuchi, Masaaki Imaizumi, Shunsuke Kanda, Yasuo Tabei, Keisuke Fujii, Ken Yoda, Masakazu Ishihata, Takuya Maekawa. SIGSPATIAL/GIS 2021. paper
  7. From movement purpose to perceptive spatial mobility prediction. Licia Amichi, Aline Carneiro Viana, Mark Crovella, Antonio A. F. Loureiro. SIGSPATIAL/GIS 2021. paper
  8. Hierarchical Neural Architecture Search for Travel Time Estimation. Guangyin Jin, Huan Yan, Fuxian Li, Yong Li, Jincai Huang. SIGSPATIAL/GIS 2021. paper
  9. JUST-Traj: A Distributed and Holistic Trajectory Data Management System. Huajun He, Ruiyuan Li, Jie Bao, Tianrui Li, Yu Zheng. SIGSPATIAL/GIS 2021. paper
  10. Learning Decision Making Strategies of Non-experts: A NEXT-GAIL Model for Taxi Drivers. Menghai Pan, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo. SIGSPATIAL/GIS 2021. paper
  11. LibCity: An Open Library for Traffic Prediction. Jingyuan Wang, Jiawei Jiang, Wenjun Jiang, Chao Li, Wayne Xin Zhao. SIGSPATIAL/GIS 2021. paper
  12. Multi-Task Synchronous Graph Neural Networks for Traffic Spatial-Temporal Prediction. He Li, Duo Jin, Xuejiao Li, Jianbin Huang, Jaesoo Yoo. SIGSPATIAL/GIS 2021. paper
  13. Multimodal Fusion of Satellite Images and Crowdsourced GPS Traces for Robust Road Attribute Detection. Yifang Yin, An Tran, Ying Zhang, Wenmiao Hu, Guanfeng Wang, Jagannadan Varadarajan, Roger Zimmermann, See-Kiong Ng. SIGSPATIAL/GIS 2021. paper
  14. Online Route Replanning for Scalable System-Optimal Route Planning. Robert J. Fitzgerald, Farnoush Banaei Kashani. SIGSPATIAL/GIS 2021. paper
  15. Origin-destination (OD) analysis based on big taxi trajectory data with XStar. Xiang Li, Yijun He. SIGSPATIAL/GIS 2021. paper
  16. Predicting the spread of COVID-19 in China with human mobility data. Shangbin Wu, Xiaoliang Fan, Longbiao Chen, Ming Cheng, Cheng Wang. SIGSPATIAL/GIS 2021. paper
  17. Predicting Road Accident Risk Using Geospatial Data and Machine Learning. Yunzhi Shi, Raj Biswas, Mehdi Noori, Michael Kilberry, John Oram, Joe Mays, Sachin Kharude, Dinesh Rao, Xin Chen. SIGSPATIAL/GIS 2021. paper
  18. Road Closure Detection based upon Multi-feature Fusion. Shengcheng Cai, Tao Wu, Jiali Mao, Cheqing Jin. SIGSPATIAL/GIS 2021. paper
  19. Route Reconstruction from Traffic Flow via Representative Trajectories. Bram Custers, Wouter Meulemans, Bettina Speckmann, Kevin Verbeek. SIGSPATIAL/GIS 2021. paper
  20. DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network for Traffic Prediction. He Li, Shiyu Zhang, Xuejiao Li, Liangcai Su, Hongjie Huang, Duo Jin, Linghao Chen, Jianbin Huang, Jaesoo Yoo. SIGSPATIAL/GIS 2021. paper
  21. Spatio-Temporal Graph Convolutional Networks for Traffic Forecasting: Spatial Layers First or Temporal Layers First?. Yuen Hoi Lau, Raymond Chi-Wing Wong. SIGSPATIAL/GIS 2021. paper
  22. SALON: A Universal Stay Point-Based Location Analysis Platform. Yue Hu, Sijie Ruan, Yuting Ni, Huajun He, Jie Bao, Ruiyuan Li, Yu Zheng. SIGSPATIAL/GIS 2021. paper
  23. Tiering in Contraction and Edge Hierarchies for Stochastic Route Planning. Payas Rajan, Chinya V. Ravishankar. SIGSPATIAL/GIS 2021. paper
  24. Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data. Zongyu Lin, Guozhen Zhang, Zhiqun He, Jie Feng, Wei Wu, Yong Li. SIGSPATIAL/GIS 2021. paper
  25. Weighted Stackelberg Algorithms for Road Traffic Optimization. Kostas Kollias, Arun Chandrashekharapuram, Lisa Fawcett, Sreenivas Gollapudi, Ali Kemal Sinop. SIGSPATIAL/GIS 2021. paper

---2020---

  1. DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction. Quanjun Chen, Renhe Jiang, Chuang Yang, Zekun Cai, Zipei Fan, Kota Tsubouchi, Ryosuke Shibasaki, Xuan Song. SIGSPATIAL 2020. paper
  2. Enabling Finer Grained Place Embeddings using Spatial Hierarchy from Human Mobility Trajectories. Toru Shimizu, Takahiro Yabe, Kota Tsubouchi. SIGSPATIAL 2020. paper
  3. Graph Convolutional Networks with Kalman Filtering for Traffic Prediction. Fanglan Chen, Zhiqian Chen, Subhodip Biswas, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu. SIGSPATIAL 2020. paper
  4. Learning Behavioral Representations of Human Mobility. Maria Luisa Damiani, Andrea Acquaviva, Fatima Hachem, Matteo Rossini. SIGSPATIAL 2020. paper
  5. Predicting Human Mobility with Federated Learning. Anliang Li, Shuang Wang, Wenzhu Li, Shengnan Liu, Siyuan Zhang. SIGSPATIAL 2020. paper
  6. Predictive Collision Management for Time and Risk Dependent Path Planning. Carsten Hahn, Sebastian Feld, Hannes Schroter. SIGSPATIAL 2020. paper

---2019---

  1. A traffic sign discovery driven system for traffic rule updating. Tengfei Xing, Yang Gu, Zhichao Song, Zhihui Wang, Yiping Meng, Nan Ma, Pengfei Xu, Runbo Hu, Hua Chai. SIGSPATIAL 2019. [paper]
  2. An Efficient Electric Vehicle Path-Planner That Considers the Waiting Time. Jaël Champagne Gareau, Éric Beaudry, Vladimir Makarenkov. SIGSPATIAL 2019. [paper]
  3. Context-based Markov Model toward Spatio-Temporal Prediction with Realistic Dataset. Kota Tsubouchi, Tomoki Saito, Masamichi Shimosaka. SIGSPATIAL 2019. [paper]
  4. Deep Multiple Instance Learning for Human Trajectory Identification. Zipei Fan, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki, Xuan Song, Kota Tsubouchi. SIGSPATIAL 2019. [paper]
  5. Efficient Computation of Multi-Modal Public Transit Traffic Assignments using ULTRA. Jonas Sauer, Dorothea Wagner, Tobias Zündorf. SIGSPATIAL 2019. [paper]
  6. FairST: Equitable Spatial and Temporal Demand Prediction for New Mobility Systems. An Yan, Bill Howe. SIGSPATIAL 2019. [paper]
  7. Generating traffic data for any city using SMARTS simulator. Hairuo Xie, Egemen Tanin, Kotagiri Ramamohanarao, Shanika Karunasekera, Lars Kulik, Rui Zhang, Jianzhong Qi. SIGSPATIAL 2019. [paper]
  8. Graph convolutional networks for road networks. Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen. SIGSPATIAL 2019. [paper]
  9. klcluster: Center-based Clustering of Trajectories. Kevin Buchin, Anne Driemel, Natasja van de L'Isle, André Nusser. SIGSPATIAL 2019. [paper]
  10. Optimizing the Spatio-Temporal Resource Search Problem with Reinforcement Learning (GIS Cup). Felix Borutta, Sebastian Schmoll, Sabrina Friedl. SIGSPATIAL 2019. [paper]
  11. Predicting traffic accidents with event recorder data. Yoshiaki Takimoto, Yusuke Tanaka, Takeshi Kurashima, Shuhei Yamamoto, Maya Okawa, Hiroyuki Toda. SIGSPATIAL 2019. [paper]
  12. Relative Reachability Analysis as a Tool for Urban Mobility Planning: Position Paper. Theodoros Chondrogiannis, Mario A. Nascimento, Panagiotis Bouros. SIGSPATIAL 2019. [paper]
  13. Streaming Route Assignment for Connected Autonomous Vehicles (Systems Paper). Sadegh Motallebi, Hairuo Xie, Egemen Tanin, Jianzhong Qi, Kotagiri Ramamohanarao. SIGSPATIAL 2019. [paper]
  14. Spatiotemporal Bus Route Profiling using Odometer Data. Xiqi Fei, Olga Gkountouna, Dieter Pfoser, Andreas Züfle. SIGSPATIAL 2019. [paper] 15.St-discovery: Data-driven discovery of structural dependencies in urban road networks. Nicolas Tempelmeier, Udo Feuerhake, Oskar Wage, Elena Demidova. SIGSPATIAL 2019. [paper]
  15. Simct: Spatial simulation of urban evolution to test resilience of 5g cellular networks. Teyu Hsiung, Yaron Kanza. SIGSPATIAL 2019. [paper]
  16. TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu. SIGSPATIAL 2019. [paper]
  17. The Phase Abstraction for Estimating Energy Consumption and Travel Times for Electric Vehicle Route Planning. Payas Rajan, Chinya V. Ravishankar. SIGSPATIAL 2019. [paper]
  18. Traffic speed prediction with convolutional neural network adapted for non-linear spatio-temporal dynamics. Shen Ren, Bo Yang, Liye Zhang, Zengxiang Li. SIGSPATIAL 2019. [paper]

---2018---

  1. A Seq2Seq learning approach for modeling semantic trajectories and predicting the next location. Antonios Karatzoglou, Adrian Jablonski, Michael Beigl. SIGSPATIAL 2018. [paper]
  2. A force-directed approach for offline GPS trajectory map matching. Efstratios Rappos, Stephan Robert, Philippe Cudré-Mauroux. SIGSPATIAL 2018. [paper]
  3. A brief overview of machine learning methods for short-term traffic forecasting and future directions. Yaguang Li, Cyrus Shahabi. SIGSPATIAL 2018. [paper]
  4. Dynamic spatio-temporal integration of traffic accident data. Ove Andersen, Kristian Torp. SIGSPATIAL 2018. [paper]
  5. High definition maps in urban context. Andi Zang, Xin Chen, Goce Trajcevski. SIGSPATIAL 2018. [paper]
  6. Insert beyond the traffic sign recognition: constructing an auto-pilot map for autonomous vehicles. Zhenhua Zhang, Leon Stenneth, Ram Marappan, Zaba Sebastian, Philip S. Yu. SIGSPATIAL 2018. [paper]
  7. Multi-level filtering to retrieve similar trajectories under the Fréchet distance. Hong Wei, Riccardo Fellegara, Yin Wang, Leila De Floriani, Hanan Samet. SIGSPATIAL 2018. [paper]
  8. Multi-resolution sketches and locality sensitive hashing for fast trajectory processing. Maria Sinziana Astefanoaei, Paul Cesaretti, Panagiota Katsikouli, Mayank Goswami, Rik Sarkar. SIGSPATIAL 2018. [paper]
  9. Periodic stops discovery through density-based trajectory segmentation. Fatima Hachem, Maria Luisa Damiani. SIGSPATIAL 2018. [paper]
  10. RoadRunner: improving the precision of road network inference from GPS trajectories. Songtao He, Favyen Bastani, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden. SIGSPATIAL 2018. [paper]
  11. Rasdaman: Spatio-temporal datacubes on steroids. Peter Baumann, Dimitar Misev, Vlad Merticariu, Bang Pham Huu, Brennan Bell. SIGSPATIAL 2018. [paper]
  12. Replicating urban dynamics by generating human-like agents from smartphone GPS data. Yanbo Pang, Kota Tsubouchi, Takahiro Yabe, Yoshihide Sekimoto. SIGSPATIAL 2018. [paper]
  13. Trajectory-based social circle inference. Qiang Gao, Goce Trajcevski, Fan Zhou, Kunpeng Zhang, Ting Zhong, Fengli Zhang. SIGSPATIAL 2018. [paper]
  14. Vision paper: reinforcement learning in smart spatio-temporal environments. Sebastian Schmoll, Matthias Schubert. SIGSPATIAL 2018. [paper]

---2017---

  1. A Cloud-Based Trajectory Data Management System. Ruiyuan Li, Sijie Ruan, Jie Bao, Yu Zheng. SIGSPATIAL 2017. [paper]
  2. CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data. Ardavan Afshar, Joyce C. Ho, Bistra Dilkina, Ioakeim Perros, Elias B. Khalil, Li Xiong, Vaidy S. Sunderam. SIGSPATIAL 2017. [paper]
  3. City-wide Traffic Volume Inference with Loop Detector Data and Taxi Trajectories. Chuishi Meng, Xiuwen Yi, Lu Su, Jing Gao, Yu Zheng. SIGSPATIAL 2017. [paper]
  4. From How to Where: Traffic Optimization in the Era of Automated Vehicles. Kotagiri Ramamohanarao, Jianzhong Qi, Egemen Tanin, Sadegh Motallebi. SIGSPATIAL 2017. [paper]
  5. Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data. Amin Vahedian, Xun Zhou, Ling Tong, Yanhua Li, Jun Luo. SIGSPATIAL 2017. [paper]
  6. Inferring traffic cascading patterns. Yuxuan Liang, Zhongyuan Jiang, Yu Zheng. SIGSPATIAL 2017. [paper]
  7. Querying Massive Trajectories by Path on the Cloud. Ruiyuan Li, Sijie Ruan, Jie Bao, Yanhua Li, Yingcai Wu, Yu Zheng. SIGSPATIAL 2017. [paper]
  8. Smart-phone based Spatio-temporal Sensing for Annotated Transit Map Generation. Rohit Verma, Surjya Ghosh, Niloy Ganguly, Bivas Mitra, Sandip Chakraborty. SIGSPATIAL 2017. [paper]
  9. Visualizing Traffic Accident Hotspots Based on Spatial-Temporal Network Kernel Density Estimation. Benjamin Romano, Zhe Jiang. SIGSPATIAL 2017. [paper]

---2016---

  1. DNN-based prediction model for spatio-temporal data. Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi. SIGSPATIAL 2016. [paper]
  2. FCCF: forecasting citywide crowd flows based on big data. Minh X. Hoang, Yu Zheng, Ambuj K. Singh. SIGSPATIAL 2016. [paper]

Mining the most influential k-location set from massive trajectories. Yuhong Li, Jie Bao, Yanhua Li, Yingcai Wu, Zhiguo Gong, Yu Zheng. SIGSPATIAL 2016. [paper]

Managing massive trajectories on the cloud. Jie Bao, Ruiyuan Li, Xiuwen Yi, Yu Zheng. SIGSPATIAL 2016. [paper]

Traffic prediction in a bike-sharing system. Yexin Li, Yu Zheng, Huichu Zhang, Lei Chen. SIGSPATIAL 2016. [paper]