Associate Professor Department of Computer Science and Engineering

rof. Xuan Song received the Ph.D. degree in signal and information processing from Peking University in 2010. In 2017, he was selected as Excellent Young Researcher of Japan MEXT. In the past ten years, he led and participated in many important projects as principal investigator or primary actor in Japan, such as DIAS/GRENE Grant of MEXT, Japan; Japan/US Big Data and Disaster Project of JST, Japan; Young Scientists Grant and Scientific Research Grant of MEXT, Japan; Research Grant of MLIT, Japan; CORE Project of Microsoft; Grant of JR EAST Company and Hitachi Company, Japan. He served as Associate Editor, Guest Editor, Program Chair, Area Chair, Program Committee Member or reviewer for many famous journals and top-tier conferences, such as IMWUT, IEEE Transactions on Multimedia, WWW Journal, Big Data Journal, ISTC, MIPR, ACM TIST, IEEE TKDE, UbiComp, ICCV, CVPR, ICRA and etc.

Prof. Xuan Song’s main research interest are AI and its related research areas, such as data mining, intelligent system, especially on intelligent surveillance and information system design, mobility and spatio-temporal data mining. By now, he have published more than 50 technical publications in journals, book chapter, and international conference proceedings, including more than 30 high-impact papers in top-tier publications for computer science and robotics, such as ACM TOIS, ACM TIST, IEEE TPAMI, Applied Energy, IEEE Intelligent System, KDD, UbiComp, IJCAI, AAAI, ICCV, CVPR, ECCV, ICRA and etc. His research was featured in many Japanese and international media, including United Nations, the Discovery Channel, and Fast Company Magazine. He received Honorable Mention Award in UbiComp 2015.

Personal Profile

Research

Artificial Intelligence; Big Data; Urban Computing; Smart City


Publications Read More

Journal paper:

(55) Q. Zhang, X. Song, Y. Yang, H. Ma, R. Shibasaki, “Visual graph mining for graph matching”, Computer Vision and Image Understanding, 2018.

(54) T. Li, Xuan Song, S.-C. Chen, R. Shibasaki, R. Akerkar “Editorial Introduction to the Special Issue on Multimedia Big Data for Extreme Events”, IEEE Trans. Multimedia 20(10): 2547-2550, 2018.

(53) Z. Fan, X. Song, T. Xia, R. Jiang, R. Shibasaki and R. Sakuramachi, “Online Deep Ensemble Learning for Predicting Citywide Human Mobility”, Proc. of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) (UbiComp 2018), 2018.

(52) H. Zhang, X. Song, T. Xia, M. Yuan, Z. Fan, R. Shibasaki, Y. Liang, “Battery electric vehicles in Japan: Human mobile behavior based adoption potential analysis and policy target response”, Applied Energy, 2018.

(51) R. Jiang, X. Song, Z. Fan, T. Xia, Q. Chen, Q. Chen, and R. Shibasaki, “Deep ROI-Based Modeling for Urban Human Mobility Prediction”, Proc. of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) (UbiComp 2018), 2018.

(50) S. Miyazawa, X. Song, T. Xia, R. Shibasaki, H. Kaneda, “Integrating GPS trajectory and topics from Twitter stream for human mobility estimation“, Frontiers of Computer Science, 2018.

(49) X. Song, R. Shibasaki, N. Yuan, X. Xie, T. Li, R. Adachi, “DeepMob: Learning Deep Knowledge of Human Emergency Behavior and Mobility from Big and Heterogeneous Data”, ACM Transactions on Information Systems (ACM TOIS), 35(4): 41, 19 pages, 2017.

(48) X. Song, Q. Zhang, Y. Sekimoto, R. Shibasaki, N. Yuan, X. Xie, “Prediction and Simulation of Human Mobility Following Natural Disasters”, ACM Transactions on Intelligent Systems and Technology (ACM-TIST), 8(2): 29, 2017.

(47) Q. Zhang, X. Song, X. Shao, H. Zhao, R. Shibasaki,”Object Discovery: Soft Attributed Graph Mining”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 38(3): 532-545, 2016.

(46) J Dou, D.T Bui, A.P. Yunus, K. Jia, X. Song, I. Revhaug, H. Xia, Z. Zhu, “Optimization of Causative Factors for Landslide Susceptibility Evaluation using Remote Sensing and GIS data in parts of Niigata”, PLOS ONE, 2015.

(45) Q. Zhang, X. Song, X. Shao, H. Zhao, R. Shibasaki, “From RGB-D Images to RGB Images: Single Labeling for Structural Model Mining”, ACM Transactions on Intelligent Systems and Technology (ACM-TIST), 6(2): 16, 2015.

(44) J Dou, H Yamagishi, HR Pourghasemi, AP Yunus, X Song, Y Xu, Z Zhu, “An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan”, Natural Hazards, pp. 1-28, 2015.

(43) X. Song, “Disaster Behavior Analysis and Urban Emergency Management in the Era of Big Data”, Communications of the CCF, vol. 9, no. 8, pp. 25-29, 2013.

(42) X. Song, Q. Zhang, Y. Sekimoto, T. Horanont, S. Ueyama, R. Shibasaki, "Intelligent System for Human Behavior Analysis and Reasoning Following Large-Scale Disasters," IEEE Intelligent Systems, vol. 28, no. 4, pp. 35-42, July-Aug. 2013.

(41) X. Song, J. Cui, H. Zhao, H. Zha, R. Shibasaki, " Laser-based Tracking of Multiple Interacting Pedestrians via On-line Learning", Neurocomputing, Elsevier, pp. 170-182, 2013.

(40) X. Song, X. Shao, Q. Zhang, R. Shibasaki, H. Zhao, J. Cui, H. Zha, "A Fully Online and Unsupervised System for Large and High Density Area Surveillance: Tracking, Semantic Scene Learning and Abnormality Detection", ACM Transactions on Intelligent Systems and Technology (ACM-TIST), 4(2): 35, 2013.

(39) Q. Zhang, X. Song, X. Shao, R. Shibasaki, H. Zhao, “Unsupervised skeleton extraction and motion capture from 3D deformable matching”, Neurocomputing, Elsevier, pp.170-182, 2013.

(38) X. Song, H. Zhao, J. Cui, X. Shao, R. Shibasaki, H. Zha, "An Online System for Multiple Interacting Targets Tracking: Fusion of Laser and Vision, Tracking and Learning", ACM Transactions on Intelligent Systems and Technology (ACM-TIST), 4(1): 18, 2013.

(37) X. Song, X. Shao, Q. Zhang, R. Shibasaki, H. Zhao, H. Zha, "A Novel Dynamic Model for Multiple Pedestrians Tracking in Extremely Crowded Scenarios", Information Fusion, Elsevier, 14(3), pp. 301-310, 2013.

(36) X. Song, J. Cui, H. Zhao, H. Zha, "A Bayesian Approach: Fusion of Laser and Vision for Multiple Pedestrians Tracking", International Journal of Advanced Computer Engineering (IJACE), pp. 52-63, 2009.

Conference paper:

(35) Z. Fan, X. Song, T. Xia, R. Jiang, R. Shibasaki and R. Sakuramachi, “Online Deep Ensemble Learning for Predicting Citywide Human Mobility”, Proc. of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2018.

(34) R. Jiang, X. Song, Z. Fan, T. Xia, Q. Chen, Q. Chen, and R. Shibasaki, “Deep ROI-Based Modeling for Urban Human Mobility Prediction”, Proc. of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2018.

(33) R. Jiang, X. Song, Z. Fan, T. Xia, Q. Chen, S. Miyazawa, R. Shibasaki, “DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction”, Proc. of Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018.

(32) T. Xia, X. Song, Z. Fan, H. Kanasugi, Q. Chen, R. Jiang, R. Shibasaki, “DeepRailway: A Deep Learning System for Forecasting Railway Traffic”, Proc. of IEEE 2018 International Conference on Multimedia Information Processing and Retrieval (MIPR), 2018.

(31) Q. Chen, X. Song, Z, Fan, T, Xia, H. Yamada, R. Shibasaki “A Context-Aware Nonnegative Matrix Factorization Framework for Traffic Accident Risk Estimation via Heterogeneous Data”, Proc. of IEEE 2018 International Conference on Multimedia Information Processing and Retrieval (MIPR), 2018.

(30) T. Xia, X. Song, D. Huang, S. Miyazawa, Z. Fan, R. Jiang, R. Shibasaki, “Outbound Behavior Analysis Through Social Network Data: a case study of Chinese people in Japan”, Proc. of Big Social Media Data Management and Analysis, IEEE Big Data, 2017.

(29) Z. Fan, X. Song, R. Shibasaki, T. Li, R. Adachi, “CityCoupling: Bridging Intercity Human Mobility”, Proc. of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2016.

(28) X. Song, H. Kanasugi, R. Shibasaki, “DeepTransport: Prediction and Simulation of Human Mobility and Transportation Mode at a Citywide Level”, Proc. of 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016.

(27) Z. Fan, A. Arai, X. Song, A. Witayangkurn, H. Kanasugi, R. Shibasaki, ”A Collaborative Filtering Approach to Citywide Human Mobility Completion from Sparse Call Records”, Proc. of 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016.

(26) Q. Chen, X. Song, H. Yamada, R. Shibasaki, “Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident Inference”, Proc. of Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), pp. 338-344, 2016.

(25) A. Sudo, T. Kashiyama, T. Yabe, H. Kanasugi, X. Song, T. Higuchi, S. Nakano, M. Saito and Y. Sekimoto, “Particle Filter for Real-time Human Mobility Prediction following Unprecedented Disaster”, Proc. of 24th International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL), 2016.

(24) X. Song, Q. Zhang, Y. Sekimoto, R. Shibasaki, N. Yuan, X. Xie, “A Simulator of Human Emergency Mobility following Disasters: Knowledge Transfer from Big Disaster Data”, Proc. of Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), pp. 730-736, 2015.

(23) Z. Fan, X. Song, R. Shibasaki, R. Adachi, “CityMomentum: An Online Approach for Crowd Behavior Prediction at a Citywide Level”, Proc. of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2015.

(22) X. Song, Q. Zhang, Y. Sekimoto, R. Shibasaki, “Prediction of Human Emergency Behavior and their Mobility following Large-scale Disaster”, Proc. of 20th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2014), pp. 5-14, 2014.

(21) Z. Fan, X. Song, R. Shibasaki, “CitySpectrum: A Non-negative Tensor Factorization Approach”, Proc. of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), pp. 213-223, 2014.

(20) X. Song, Q. Zhang, Y. Sekimoto, R. Shibasaki, “Intelligent System for Urban Emergency Management During Large‐scale Disaster”, Proc. of Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), pp. 458-464, 2014.

(19) Q. Zhang, X. Song, X. Shao, H. Zhao, R. Shibasaki, “When 3D Reconstruction Meets Ubiquitous RGB-D Images”, Proc. of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 700-707, 2014.

(18) Q. Zhang, X. Song, X. Shao, H. Zhao, R. Shibasaki, “Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns”, Proc. of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp.1394-1401, 2014.

(17) Q. Zhang, X. Song, X. Shao, H. Zhao, R. Shibasaki, “Start from Minimum Labeling: Learning of 3D Object Models and Point Labeling from a Large and Complex Environment”, Proc. of IEEE International Conference on Robotics and Automation (ICRA), pp. 3082-3089, 2014.

(16) Q. Zhang, X. Song, X. Shao, H. Zhao, R. Shibasaki, “Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes”, Proc. of IEEE International Conference on Computer Vision (ICCV), pp. 1329-1336, 2013.

(15) X. Song, Q. Zhang, Y. Sekimoto, T. Horanont, S. Ueyama, R. Shibasaki, “Modeling and Probabilistic Reasoning of Population Evacuation During Large-scale Disaster”, Proc. of 19th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2013), pp. 1231-1239, 2013.

(14) Q. Zhang, X. Song, X. Shao, H. Zhao, R. Shibasaki, , "Category Modeling from Just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models", Proc. of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 193-200, 2013.

(13) Q. Zhang, X. Song, X. Shao, H. Zhao, R. Shibasaki, “Unsupervised 3D Category Discovery and Point Labeling from a Large Urban Environment”, Proc. of IEEE International Conference on Robotics and Automation (ICRA), pp. 2685-2692, 2013.

(12) X. Song, X. Shao, Q. Zhang, R. Shibasaki, H. Zhao, H. Zha, “Laser-based Intelligent Surveillance and Abnormality Detection in Extremely Crowded Scenarios”, Proc. of IEEE International Conference on Robotics and Automation (ICRA), pp. 2170-2176, 2012.

(11) X. Song, X. Shao, R. Shibasaki, H. Zhao, J. Cui, H. Zha, “A novel laser-based system: Fully online detection of abnormal activity via an unsupervised method”, Proc. of IEEE International Conference on Robotics and Automation (ICRA), pp.1317-1322, 2011.

(10) X. Song, X. Shao, H. Zhao, J. Cui, R. Shibasaki, H. Zha, “An Online Approach: Learning-Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene”, Proc. of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp.1652-1659, 2010.

(9) X. Song, H. Zhao, J. Cui, X. Shao, R. Shibasaki, H. Zha, “Fusion of Laser and Vision for Multi-target Tracking via On-line Learning”, Proc. of IEEE International Conference on Robotics and Automation (ICRA), pp.406-411, 2010.

(8) X. Song, B. Wen, J.Cui, H. Zhao, X. Shao, R. Shibasaki, H. Zha, “A Boosted JPDA Particle Filter for Multi-target Tracking”, Proc. of in Asian Workshop on Sensing and Visualization of City-Human Interaction (AWSVCI ), pp.5-8,2009.

(7) H. Zha, H. Zhao, J. Cui, X. Song, X. Ying, “Combining Laser-Scanning Data and Images for Target Tracking and Scene Modeling”, Proc. of the 14th International Symposium on Robotics Research (ISRR), 2009.

(6) X. Song, J. Cui, H. Zha, H. Zhao, “Vision-based Multiple Interacting Targets Tracking via On-line Supervised Learning”, Proc. of European Conference on Computer Vision (ECCV), pp.642-655, 2008.

(5) X. Song, J. Cui, H. Zha, H. Zhao, “Probabilistic Detection-based Particle Filter for Multi-target Tracking”, Proc. of British Machine Vision Conference (BMVC), pp.223-232, 2008.

(4) X. Song, J. Cui, H. Zhao, H. Zha, “Bayesian Fusion of Laser and Vision for Multiple People Detection and Tracking”, Proc. of IEEE International Conference on Instrumentation, Control and Information Technology (SICE), pp.3014-3019, 2008.

(3) X. Song, J. Cui, X. Wang, H. Zhao, H. Zha, “Tracking Interacting Targets with Laser Scanner via On-line Supervised Learning”, Proc. of IEEE International Conference on Robotics and Automation (ICRA), pp.2271-2276, 2008.

Book Chapter:

(2) H. Zha, H. Zhao, J. Cui, X. Song and X. Ying, “Combining Laser Scanning Data and Images for Target Tracking and Scene Modeling”, Robotics Research, Springer Tracts in Advanced Robotics, Volume 70/2011, Springer, ISBN 978-3-642-19456-6, pp. 573-587, 2011.

(1) J. Cui, X. Song, H. Zhao, H. Zha, R. Shibasaki, "Real-time Detection and Tracking of Multiple People in Laser Scan Frames", Springer Book: Augmented Vision Perception in Infrared, 2009.

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