Publications

Papers under single-blind peer review:

  1. A. Zhanabatyrova, C. Leite, and Y. Xiao, “Automatic Map Update using Dashcam Videos“, arXiv, Sep 2021, https://arxiv.org/abs/2109.12131

  2. W. Mao, O.U. Akgul, A. Mehrabidavoodabadi, B. Cho, Y. Xiao and A. Ylä-Jääski, “Data-Driven Capacity Planning for Vehicular Fog Computing,”. TechRxiv, May 2021, 14 pages, https://doi.org/10.36227/techrxiv.14555103.v1

Peer-reviewed journal articles:

  1. Learning-based decentralized offloading decision making in an adversarial environment
    Cho, B. and Xiao, Y.
    IEEE Transactions on Vehicular Technology, 10.1109/TVT.2021.3115899. early access

  2. Ajalon: Simplifying the Authoring of Wearable Cognitive Assistants

    Pham, T., Wang, W., Xiao, Y., Pillai, P., Iyengar, R., Klatzky, R., Satyanarayanan, M.
    Journal of Software: Practice and Experience, 25 pages, May 2021

  3. Cross-site prediction on social influence for cold-start users in emerging online social networks

    Gong, Q., Chen, Y., He, X., Xiao, Y., Hui, P., Wang, X., and Fu, X.
    ACM Transactions on the Web. 23 pages. May 2021. 

  4. FlexSensing: A QoI and latency aware task allocation scheme for vehicle-based visual crowdsourcing via deep Q-network

    Zhu, C., Chiang, Y., Xiao, Y., Ji, Y.
    IEEE Internet of Things, 2020

  5. 5G Beyond 3GPP Release 15 for Connected Automated Mobility in Cross-Border Contexts

    Velez, G., Martín, Á., Pastor, G., Mutafungwa, E.
    Sensors, 2020

  6. Constructing Measures of Sparsity

    Pastor, G., Mora-Jimenez, I., Jantti, R., Caamano, A.
    IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2020.3029851

  7. Improving Cross-Subject Activity Recognition via Adversarial Learning

    Leite, Clayton ;Xiao, Yu
    IEEE Access, 13 pages. DOI: 10.1109/ACCESS.2020.2993818

  8. Understanding the User Behavior of Foursquare: A Data-driven Study based on the Entire Network

    Chen, Y., Hu, J., Xiao, Y., Li, X., and Hui, P.
    IEEE Transactions on Computational Social Systems. 14 pages. 2020. 

  9. Understanding the Working Time of Developers in IT Companies in China and the United States

    Zhang, J., Chen, Y., Gong, Q., Ding, A., Xiao, Y., Wang, X., and Hui, P.
    IEEE Software. 2020. 

  10. A Learning-based Credible Participant Recruitment Strategy for Mobile Crowd Sensing

    Gao, H., Xiao, Y., Han, Y., Tian, Y., Wang, W.
    IEEE Internet of Things Journal. 2020

  11. Does Augmented Reality Affect Sociability, Entertainment, and Learning? A Field Experiment.

    Savela, N., Oksanen, A., Kaakinen, M., Noreikis, M., Xiao, Y.
    Journal of Applied Sciences, 10 (4), Feb 2020.

  12. Effects of gamified augmented reality in public spaces
    Noreikis, M., Savela, N., Kaakinen, M., Xiao, Y., Oksanen A.
    IEEE Access (early access), 12 pages, October 2019

  13. Chameleon: Latency and Resolution Aware Task Offloading for Visual-based Assisted Driving
    Zhu, C
    ., Chiang, Y., Mehrabi, A., Xiao, Y., Ylä-Jääski, A., Ji, Y.
    IEEE Transactions on Vehicular Technology, 11 pages, July 2019

  14. Applying Embodied Design Improvisation for Physical Interaction in Augmented and Virtual Reality

    Lee, J., Diaz-Kommonen, L., Xiao, Y.
    Archives of Design Research, vol 32, no. 2, 2019

  15. Folo: Latency and Quality Optimized Task Allocation in Vehicular Fog Computing

    C. Zhu, J. Tao, G. Pastor, Y. Xiao, Y. Ji, Q. Zhou, Y. Li, and A. Ylä-jääski
    IEEE Internet of Things Journal, vol. 6, issue 3, pp. 4150-4161, June 2019

  16. Neurophysiological correlates of collective perceptual decision-making

    Baumgart, K. G., Byvshev, P., Sliby, A. N., Strube, A., König, P., & Wahn, B.
    European Journal of Neuroscience. 2019.

  17. Vehicular fog computing for video crowdsourcing: Applications, feasibility and challenges

    C. Zhu, G. Pastor, Y. Xiao, and A. Ylä-Jääski
    IEEE Communications Magazine, pp. 58-63, vol.56, no.10, 2018

  18. We know your preferences in new cities: Mining and modeling the behavior of travelers

    R. Xie, Y. Chen, Q. Xie, Y. Xiao, and X. Wang
    IEEE Communications Magazine, vol. 56, no. 11, pp. 28-35, November 2018

  19. Exploring the power of social hub services

    Q. Gong, Y. Chen, X. Yu, C. Xu, Z. Guo, Y. Xiao, F.B. Abdesslem, X. Wang, and P. Hui
    World Wide Web: Internet and Web Information Systems (WWW), 2018 |   pdf

  20. ViNav: A vision-based indoor navigation system for smartphones

    J. Dong, M. Noreikis, Y. Xiao, and A. Ylä-Jääski
    IEEE Transactions on Mobile Computing, vol., no., 2018  |   pdf

  21. A low-rank tensor model for imputation of missing vehicular traffic volume

    G. Pastor
    IEEE Transactions on Vehicular Technology, vol. 67, no. 9, 2018  |  pdf

  22. A survey on security, privacy and trust in mobile crowdsourcing
    W. Feng, Z. Yan, H. Zhang, K. Zeng, Y. Xiao, and Y.T. Hou
    IEEE Internet of Things Journal, vol. 5, no. 4, August 2018 |   pdf

  23. Understanding skout users’ mobility patterns on a global scale: A data-driven study
     
    R. Xie, Y. Chen, S. Lin, T. Zhang, Y. Xiao, and X. Wang,
    World Wide Web: Internet and Web Information Systems, 2018  |   pdf

  24. CTS: A cellular-based trajectory tracking system with GPS-level accuracy

    X. Huang, Y. Li, Y. Wang, Y. Xiao, and L. Zhang
    ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol. 1, no. 4, 2018  |   pdf

  25. Measurement and analysis of the swarm social network with tens of millions of nodes

    Y. Chen, J. Hu, H. Zhang, Y. Xiao, and P. Hui
    IEEE Access, vol. PP, no. 99, 2018  |   pdf

  26. Diamond: Nesting the data center network with wireless rings in 3-D space

    Y. Cui, S. Xiao, X. Wang, Z. Yang, S. Yan, C. Zhu, X. Li, and N. Ge.
    IEEE/ACM Transactions on Networking, vol. PP, no. 99, 2016  |   pdf

  27. Modeling, profiling, and debugging the energy consumption of mobile devices

    M.A. Hoque, M. Siekkinen, K.N. Khan, Y. Xiao, and S. Tarkoma
    ACM Computing Surveys (CSUR), vol. 48, no. 3, 2016  |   pdf

  28. Asymptotic expansions for heavy-tailed data

    G. Pastor, I. Mora-Jiménez, A.J. Caamaño, and R. Jäntti
    IEEE Signal Processing Letters, vol. 23, no. 4, 2016  |   pdf

Peer-reviewed conference proceedings:

  1. Optimal sensor channel selection for resource-efficient deep activity recognition.
    Leite, C., Xiao, Y.
    ACM IPSN 2021. 13 pages. May 2021.

  2. Arpilleras Parlantes: Designing Educational Material for the Creation of Interactive Textile Art based on a Traditional Chilean Craft
    Guridi, S., Vicencio T., Gajardo R.
    ACM TEI 2021. 11 pages.

  3. Dataset: A video set of wooden box assembly

    Zhang, J., Byvshev, P., Xiao, Y.
    3rd Workshop on Data Acquisition to Analysis (DATA’20)
    http://doi.org/10.5281/zenodo.4040605

  4. VIMES: A wearable memory assistance system for automatic information retrieval

    Fernandez, C., Braud, T., Yang, J., Mirjafari, S., Shi, B., Xiao, Y., Hui, P.
    28th ACM International Conference on Multimedia (MM’20), 10 pages

  5. Heterogeneous Non-local Fusion for Multimodal Activity Recognition
    Byvshev, Petr
    ; Mettes, Pascal; Xiao, Yu
    Annual ACM International Conference on Multimedia Retrieval (ICMR 2020). Video Presentation

  6. Image-based Renovation Progress Inspection with Deep Siamese Networks.

    Byvshev, P., Pham, T., Xiao, Y.
    12th International Conference on Machine Learning and Computing (ICMLC 2020). June, 2020. Shenzhen, China. 10 pages.
  7. Deep graph convolutional networks for incident-driven traffic speed prediction
    Xie, Q., Guo, T., Chen, Y., Xiao, Y., Wang, X., and Zhao, B.
    29th ACM International Conference on Information and Knowledge Management (CIKM’20)

  8. Improving Resource Efficiency of Deep Activity Recognition via Redundancy Reduction     

    Leite, C., Xiao, Y.
    21st International workshop on mobile computing systems and applications (HotMobile 2020). March 3-4, 2020. Austin Texas, US. 6 pages.    (Presentation on YouTube)


  9. DeepLoc: Deep Neural Network-based Telco Localization
    (Best Paper Award)

    Zhang, Y.,  Xiao, Y., Zhao, K., and Rao, W.
    16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2019), pp. 258-267, November 12–14, 2019, Houston, United States. ACM, New York, NY, USA.

  10. Detecting Malicious Accounts in Online Developer Communities Using Deep Learning

    Gong, Q., Zhang, J., Chen, Y., Li, Q., Xiao, Y., Wang, X. and Hui, P.
    28th ACM International Conference on Information and Knowledge Management (CIKM’19), 10 pages, Nov. 2019.

  11. CrowParking: Crowdsourcing based parking navigation in autonomous driving era

    Zhu, C., Mehrabi, A.,  Xiao, Y., Wen, Y.
    International Conference on Electromagnetics in Advanced Applications (ICEAA 2019), 5 pages, September 2019

  12. Artemis: A Practical Low-Latency Naming and Routing System

    Li, X., Liu, B., Chen, Y.,  Xiao, Y., Tang, J., Wang, X.
    48th International Conference on Parallel Processing (ICPP’19), 10 pages, August 2019

  13. Edge Capacity Planning for Real Time Compute-Intensive Applications

    M. Noreikis, Y. Xiao, Y. Jiang
    IEEE International Conference on Fog Computing (ICFC), 10 pages, June 2019

  14. Traffic Congestion Prediction by Spatiotemporal Propagation Patterns

    Di, X., Xiao, Y., Zhu, C., Deng, Y., Zhao, Q., Rao, W.
    20th IEEE International Conference on Mobile Data Management (MDM’19), 6 pages, June 2019.

  15. Reasonable Weirdness: Integrating Machine Perspective in Visual Creativity

    Min, S., Lee, J.
    International Symposium on Electronic Art (ISEA), pp. 233-239, 2019

  16. Low-cost mapping of RFID tags using reader-equipped smartphones

    Y. Sato, M. Noreikis, and Y. Xiao
    IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), pp. 299-307, 2018

  17. An empirical study of the usage of the swarm app’s cross-site sharing feature
    S. Lin, R. Xie, Y. Chen, Y. Xiao, and P. Hui
    Workshop on Mining and Learning from Smartphones Apps for Users (AppLens, In conjunction with ACM UbiComp), pp. 823-832, 2018

  18. Identification of influential users in emerging online social networks using cross-site linking

    Q. Gong, Y. Chen, X. He, F. Li, Y. Xiao, P. Hui, X. Wang, and X. Fu
    Chinese Conference on Computer Supported Cooperative Work and Social Computing (ChineseCSCW), 2018

  19. SnapTask: towards efficient visual crowdsourcing for indoor mapping

    M. Noreikis, Y. Xiao
    , J. Hu, and  Y. Chen,
    IEEE Conference on Distributed Computing Systems (ICDCS), 2018

  20. Fog following me: Latency and quality balanced task allocation in vehicular fog computing

    C. ZhuG. PastorY. Xiao, L. Yong, and A. Ylä-Jääski
    Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 2018  |   
    pdf

  21. A 5G-V2X Based Collaborative Motion Planning for Autonomous Industrial Vehicles at Road Intersections

    Y. Shi, Y. Pan, Z. Zhang, Y. Li and Y. Xiao
    2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

  22. Measurement and analysis of the reviews in Airbnb

    Q. Zhou, Y. Chen, C. Ma, F. Li, Y. Xiao, X. Wang, and X. Fu
    IFIP Networking Conference (Networking), 2018

  23. Unsupervised workflow extraction from first-person video of mechanical assembly

    T. Pham
    , and Y. Xiao
    ACM International Workshop on Mobile Computing Systems and Applications (HotMobile), 2018  |   
    pdf

  24. SeeNav: Seamless and energy-efficient indoor navigation using augmented reality

    M. NoreikisY. Xiao, and A. Ylä-Jääski
    ACM Multimedia – Thematic Workshops, 2017  |   
    pdf

  25. QoS-oriented capacity planning for edge computing

    M. Noreikis
    Y. Xiao, and A. Ylä-Jääski
    IEEE International Conference on Communications (ICC), 2017  |   
    pdf

  26. Vehicular fog computing: Vision and challenges

    Y. Xiao
    , and C. Zhu
    IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2017  |   
    pdf

  27. Indoor tracking using crowdsourced maps

    J. Dong, Y. Xiao, Z. Ou, Y. Cui, and A. Ylä-Jääski
    ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2016  |   
    pdf

Invited papers:

  1. Understanding the behavioural differences between American and German users: A data-driven study
    C. Yang, Y. Chen, Q. Gong, X. He, Y. Xiao, Y. Huang, and X. Fu
    Big Data Mining and Analytics, vol. 1, no. 4, 2018  |   
    pdf

Extended abstracts:

  1. Deep Neural Network-based Telco Outdoor Localization
    Y. Zhang, W. Rao, Y. Xiao.
    The 16th ACM Conference on Embedded Networked Sensor Systems (SenSys), 2018

  2. Crowdsourced geocaching for indoor maps reconstruction
    M. Noreikis, Y. Xiao
    The 19th International Workshop on Mobile Computing Systems and Applications (HotMobile), 2018

Doctoral Dissertations:

  1. Chao Zhu. Task allocation and resource scheduling in vehicular fog computing. 2020.
  2. Marius Noreikis. Enabling Ubiquitous Augmented Reality with Crowdsourced Indoor Mapping and Localization. 2019.