{"id":14,"date":"2017-12-05T00:44:07","date_gmt":"2017-12-04T22:44:07","guid":{"rendered":"http:\/\/mobilecloud.aalto.fi\/?page_id=14"},"modified":"2026-06-18T10:42:11","modified_gmt":"2026-06-18T08:42:11","slug":"publications","status":"publish","type":"page","link":"https:\/\/mobilecloud.aalto.fi\/?page_id=14","title":{"rendered":"Publications"},"content":{"rendered":"\n<p><strong>Doctoral Dissertations (9):<\/strong><\/p>\n\n\n\n<p>Tim Moesgen. <strong>Understanding and Designing Thermal Motion Feedback for Immersive Experiences<\/strong>. 2026. Public defense on September 15, 2026.<\/p>\n\n\n\n<p>Aziza Zhanabatyrova. <strong><a href=\"https:\/\/aaltodoc.aalto.fi\/items\/91f8417c-1021-4b80-856c-f43c3c4085f7\" data-type=\"URL\" data-id=\"https:\/\/aaltodoc.aalto.fi\/items\/91f8417c-1021-4b80-856c-f43c3c4085f7\">Crowdsourced 3D Semantic Mapping and Change Detection in Urban Driving Environment<\/a>s.<\/strong> 2025. Public defense on March 24, 2025.<\/p>\n\n\n\n<p>Xuebing Li. <strong><a href=\"https:\/\/aaltodoc.aalto.fi\/items\/37a4a61b-6f49-45e8-a850-3efa8622ee11\" data-type=\"URL\" data-id=\"https:\/\/aaltodoc.aalto.fi\/items\/37a4a61b-6f49-45e8-a850-3efa8622ee11\">Enhancing Latency Reduction and Reliability for Internet Services with QUIC and WebRTC<\/a><\/strong>. 2024. <a href=\"https:\/\/www.aalto.fi\/en\/events\/public-defence-in-networking-technology-msc-xuebing-li\">Public defence on Sep 23, 2024<\/a>.<\/p>\n\n\n\n<p>Wencan Mao. <strong><a href=\"https:\/\/aaltodoc.aalto.fi\/items\/64134a5d-8d64-4bce-b7f3-45c04df8623d\">Capacity planning for vehicular fog computing<\/a><\/strong>. 2023. <a href=\"https:\/\/www.aalto.fi\/en\/events\/public-defence-in-networking-technology-msc-wencan-mao\" data-type=\"URL\" data-id=\"https:\/\/www.aalto.fi\/en\/events\/public-defence-in-networking-technology-msc-wencan-mao\">Public defence on Nov 2, 2023<\/a>. <\/p>\n\n\n\n<p>Emmi Pouta. <strong><a href=\"https:\/\/aaltodoc.aalto.fi\/handle\/123456789\/121284\" data-type=\"URL\" data-id=\"https:\/\/aaltodoc.aalto.fi\/handle\/123456789\/121284\">Touch Interwoven &#8211; role of textile thinking in woven eTextile exploration<\/a><\/strong>. 2023. Public defence on June 19, 2023.<\/p>\n\n\n\n<p>Petr Byvshev, <strong><a href=\"https:\/\/aaltodoc.aalto.fi\/handle\/123456789\/120346\" data-type=\"URL\" data-id=\"https:\/\/aaltodoc.aalto.fi\/handle\/123456789\/120346\">Motion and Appearance Representation Learning of Human Activities from Videos and Wearable Sensors<\/a><\/strong>. 2023. <a href=\"https:\/\/www.aalto.fi\/en\/events\/public-defence-in-networking-technology-msc-petr-byvshev\" data-type=\"URL\" data-id=\"https:\/\/www.aalto.fi\/en\/events\/public-defence-in-networking-technology-msc-petr-byvshev\">Public defence on April 19, 2023. <\/a><\/p>\n\n\n\n<p>Clayton Leite. <strong><a href=\"https:\/\/aaltodoc.aalto.fi\/handle\/123456789\/117895\" data-type=\"URL\" data-id=\"https:\/\/aaltodoc.aalto.fi\/handle\/123456789\/117895\">Enabling Cost Efficiency in Sensor-Based Human Activity Recognition<\/a>.<\/strong> 2023<\/p>\n\n\n\n<p>Chao Zhu. <a href=\"https:\/\/aaltodoc.aalto.fi\/handle\/123456789\/87766\"><strong>Task allocation and resource scheduling in vehicular fog computing<\/strong><\/a><strong>. <\/strong>2020. <\/p>\n\n\n\n<p>Marius Noreikis.<strong>&nbsp;<a href=\"https:\/\/aaltodoc.aalto.fi\/handle\/123456789\/38442\">Enabling Ubiquitous Augmented Reality with Crowdsourced Indoor Mapping and Localization<\/a><\/strong>. 2019.<\/p>\n\n\n\n<p><strong>Technical reports<\/strong> <strong>(9):<\/strong><\/p>\n\n\n\n<ol>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2603.09930\" data-type=\"URL\" data-id=\"https:\/\/arxiv.org\/abs\/2603.09930\"><strong>Fine-grained Motion Retrieval via Joint-Angle Motion Images and Token-Patch Late Interaction<\/strong><\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/abs\/2604.00913\" data-type=\"URL\" data-id=\"https:\/\/arxiv.org\/abs\/2604.00913\"><strong>Benchmarking and Mechanistic Analysis of Vision-Language Models for Cross-Depiction Assembly Instruction Alignment<\/strong><\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/abs\/2604.21668\" data-type=\"URL\" data-id=\"https:\/\/arxiv.org\/abs\/2604.21668\"><strong>Encoder-Free Human Motion Understanding via Structured Motion Descriptions<\/strong><\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/abs\/2603.13575\" data-type=\"URL\" data-id=\"https:\/\/arxiv.org\/abs\/2603.13575\"><strong>Exploring Human-AI Collaboration in E-Textile Design: A Case Study on Flex Sensor Placement for Shoulder Motion Detection<\/strong><\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/abs\/2601.20107\" data-type=\"URL\" data-id=\"https:\/\/arxiv.org\/abs\/2601.20107\"><strong>Look in the Middle: Structural Anchor Pruning for Scalable Visual RAG Indexing<\/strong><\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/pdf\/2511.05566\" data-type=\"URL\" data-id=\"https:\/\/arxiv.org\/pdf\/2511.05566\"><strong>Efficient Online Continual Learning in Sensor-Based Human Activity Recognition<\/strong><\/a><\/li>\n\n\n\n<li><strong><a href=\"https:\/\/arxiv.org\/abs\/2410.13605\" data-type=\"URL\" data-id=\"https:\/\/arxiv.org\/abs\/2410.13605\">Transformer-Based Approaches for Sensor-Based Human Activity Recognition: Opportunities and Challenges<\/a><\/strong><\/li>\n\n\n\n<li><strong><a href=\"https:\/\/arxiv.org\/abs\/2410.08931\" data-type=\"URL\" data-id=\"https:\/\/arxiv.org\/abs\/2410.08931\">Enhancing Motion Variation in Text-to-Motion Models via Pose and Video Conditioned Editing<\/a><\/strong><\/li>\n\n\n\n<li><a href=\"https:\/\/www.arxiv.org\/abs\/2511.02027\" data-type=\"URL\" data-id=\"https:\/\/www.arxiv.org\/abs\/2511.02027\"><strong>StrengthSense: A Dataset of IMU Signals Capturing Everyday Strength-Demanding Activities<\/strong><\/a><\/li>\n<\/ol>\n\n\n\n<p><strong>Peer-reviewed journal articles (57)<\/strong><span style=\"color: #444444;\">:<\/span><\/p>\n\n\n\n<ol>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11397758\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/11397758\"><strong>Dynamic and Heterogeneous Network Slicing for Vehicular Edge Computing Based on Two-Timescale Reinforcement Learning<\/strong> <\/a><br>X. Li,&nbsp;W. Mao, X. Xu, Y. Liu, W. Huangfu, K. Long, <strong>Y. Xiao<\/strong>, and Y. Ji <br>IEEE Transactions on Mobile Computing. 2026<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0736584525001644?via%3Dihub\">A review on deep learning for vision-based hand detection, hand segmentation and hand gesture recognition in human\u2013robot interaction<\/a><\/strong><br>R. Jalayer, <strong>M. Jalayer<\/strong>, C. Orsenigo, M. Tomizuka <br>Robotics and Computer-Integrated Manufacturing, 2025 <\/li>\n\n\n\n<li><a href=\"https:\/\/www.mdpi.com\/2076-3417\/15\/17\/9354\"><strong>A Review on Sound Source Localization in Robotics: Focusing on Deep Learning Methods<\/strong><\/a> <br>R. Jalayer, <strong>M. Jalayer<\/strong>, A. Baniasadi. <br>Applied Sciences, 2025<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0306457325002213\">Enhancing knowledge graph interactions: A comprehensive Text-to-Cypher pipeline with large language models<\/a><br><\/strong>C. Yang, <strong>C. Li<\/strong>, X. Hu, H. Yu, J. Lu. <br>Information Processing and Management, 2025<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11129138\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/11129138\">Energy-efficient Joint Beamforming and Trajectory Optimization for UAV-Enabled Integrated Sensing and Communication<\/a><\/strong><br> B. He, W. Mao, Y. Liu, W. Huangpu, <strong>Y. Xiao<\/strong>, F. Wang, Y. Ji <br> IEEE Transactions on Communications, 2025<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11091546\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/11091546\">Resource Allocation for UAV-Enabled Spatio-Temporal Crowdsourcing in Smart Cities<\/a><\/strong> <br>Y. Liu, W. Mao, X. Li, W. Huangpu, <strong>Y. Xiao<\/strong>, Y. Ji, H. Zhang, K. Long <br> IEEE Transactions on Vehicular Technology, 2025<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11090168\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/11090168\">Joint Task Scheduling and Resource Allocation for UAV-Assisted Air-Ground Collaborative Integrated Sensing, Computation, and Communication<\/a><\/strong><br> Y. Liu, <strong>W. Mao<\/strong>, X. Li, W. Huangfu, Y. Ji, <strong>Y. Xiao<\/strong>, K. Long <br>IEEE Transactions on Communications, 2025<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1369847825001950\" data-type=\"URL\" data-id=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1369847825001950\">Analyzing the behaviors of pedestrians and cyclists in interactions with autonomous systems using controlled experiments: A literature review<\/a><\/strong><br>D. Li, W. Mao, F.C. Pereira, S. Xiang, <strong>Y. Xiao<\/strong>, R. Krueger<br>TRF: Traffic Psychology and Behaviour, 2025<\/li>\n\n\n\n<li><a href=\"http:\/\/10.1097\/jcn.0000000000001206\" data-type=\"URL\" data-id=\"10.1097\/jcn.0000000000001206\"><strong>A comparison between a resuscitation glove and standard manual compressions on the quality of&nbsp;chest compressions: Manikin-based randomized crossover trial<\/strong><\/a><br>D. T. Kahsay, M. Tommila, L-M. Peltonen, E. L\u00f6yttyniemi, <strong>Y. Xiao, H. Mauranen<\/strong>, S. Salanter\u00e4<br>Journal of Cardiovascular Nursing, 2025<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?arnumber=10878111\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?arnumber=10878111\">Aeacus: QUIC-powered Low-latency and Strong-consistency Name Resolution in 5G<\/a><\/strong><br><strong>X. Li, B. Cho<\/strong>, S. Katta, J. C. Requena, <strong>Y. Xiao<\/strong>. <br>IEEE Transactions on Mobile Computing. 2025. <\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.computer.org\/csdl\/journal\/tm\/5555\/01\/10833653\/23ljXpzapeU\" data-type=\"URL\" data-id=\"https:\/\/www.computer.org\/csdl\/journal\/tm\/5555\/01\/10833653\/23ljXpzapeU\">Cooperative Path Planning with Asynchronous Multiagent Reinforcement Learning<\/a><br><\/strong> J. Yin, W. Rao, <strong>Y. Xiao<\/strong>, K. Tang <br>IEEE Transactions on Mobile Computing. 2025. <\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10584316\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/10584316\">Multi-agent Reinforcement Learning-based Capacity Planning for On-Demand Vehicular Fog Computing<\/a><\/strong><br><strong>W. Mao<\/strong>, J. Yin, Y. Liu, <strong>B. Cho<\/strong>, Y. Chen, W. Rao, <strong>Y. Xiao<\/strong><br>IEEE Transactions on Intelligent Vehicles, 2024<\/li>\n\n\n\n<li><a href=\"https:\/\/rdcu.be\/dNp7z\" data-type=\"URL\" data-id=\"https:\/\/rdcu.be\/dNp7z\"><strong>Simulation-driven Design of Smart Gloves for Gesture Recognition<\/strong><\/a><strong><br>C. F. S. Leite, P. Byvshev, H. Mauranen, and Y. Xiao<\/strong> <br>Scientific Reports, 2024<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/doi.org\/10.1631\/FITEE.2300647\" data-type=\"URL\" data-id=\"https:\/\/doi.org\/10.1631\/FITEE.2300647\">Toward an Accurate Mobility Trajectory Recovery using Contrastive Learning<\/a><\/strong> <br>  Y. Liu, Y. Chen, J. Zhang, <strong>Y. Xiao<\/strong>, X. Wang  <br>Front Inform Technol Electron Eng, 2024<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ietresearch.onlinelibrary.wiley.com\/doi\/full\/10.1049\/2024\/8846233\">Understanding Work Rhythms in Software Development and Their Effects on Technical Performance<\/a><\/strong><br> J. Zhang, Q. Gong, Y. Chen, <strong>Y. Xiao<\/strong>, X. Wang, A. Y. Ding<br>IET Software, 2024<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10418938\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/10418938\">A Proof-of-Concept Study on Smart Gloves for Real-Time Chest Compression Performance Monitoring<\/a><\/strong><br><strong>S. Guridi, H. Mauranen, E. Pouta,<\/strong> G. Semjonova, D. T. Kahsay, <strong>C. Leite<\/strong>, R. Rosio, L-M. Peltonen, M. Tommila, S. Salantera, <strong>Y. Xiao<\/strong><br>IEEE Access, 2024<\/li>\n\n\n\n<li><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3631533\">Structure from Motion-Based Mapping for Autonomous Driving: Practice and Experience<\/a><br><strong>A. Zhanabatyrova, C. Leite, and Y. Xiao<\/strong><br>ACM Transactions on Internet of Things, 2023<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10164177\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/10164177\">On-demand Vehicular Fog Computing for Beyond 5G Networks<\/a><\/strong><br><strong>W. Mao, O. Akgul, Byungjin, C., Y. Xiao <\/strong> and A. Yl\u00e4-J\u00e4\u00e4ski<br>IEEE Transactions on Vehicular Technology, 2023 <\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10168727\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/10168727\">VFogSim: a data-driven platform for simulating vehicular fog computing environment<\/a><\/strong><br><strong>O. Akgul, W. Mao, Byungjin, C., and Y. Xiao<\/strong><br>IEEE Systems Journal, 2023 <\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.computer.org\/csdl\/journal\/tk\/5555\/01\/10136755\/1NsFRJOFUli\" data-type=\"URL\" data-id=\"https:\/\/www.computer.org\/csdl\/journal\/tk\/5555\/01\/10136755\/1NsFRJOFUli\">Quantum bandit with amplitude amplification exploration in an adversarial environment<\/a><\/strong><br><strong>B. Cho, Y. Xiao,<\/strong> P. Hui, and D. Dong<br>IEEE Transactions on Knowledge and Data Engineering, 2023.<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10122978\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/10122978\">A repeated unknown game: Decentralized task offloading in vehicular fog computing<\/a><\/strong><br><strong>B. Cho and Y. Xiao<\/strong><br>IEEE Transactions on Vehicular Technology, 2023 <\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10049379\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/10049379\">Automatic Map Update using Dashcam Videos<\/a><\/strong><br><strong>A. Zhanabatyrova, C. Leite, and Y. Xiao<\/strong><br>IEEE Internet of Things Journal, 2023<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/doi.org\/10.1016\/j.dib.2023.108898\" data-type=\"URL\" data-id=\"https:\/\/doi.org\/10.1016\/j.dib.2023.108898\">A human mobility dataset collected via LBSLab<\/a><\/strong><br>Y. Zhang, Q. Gong, Y. Chen, <strong>Y. Xiao<\/strong>, X. Wang, P. Hui, X. Fu. <br>Data in Brief, 2023<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9925238\" data-type=\"URL\">ARiana: Augmented Reality based In-Situ Annotation of Assembly Videos<\/a><\/strong><br><strong>T-A. Pham<\/strong>; <strong>T. Moesgen<\/strong>; S. Siltanen; J. Bergstr\u00f6m; <strong>Y. Xiao<\/strong><br>IEEE Access, 2022<\/li>\n\n\n\n<li><strong>Artemis: <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9894091\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/9894091\">A Latency-Oriented Naming and Routing System<\/a><\/strong><br><strong>X. Li<\/strong>; Y. Chen; M. Zhou; T. Guo; C. Wang; <strong>Y. Xiao<\/strong>; J. Wang; X. Wang<br>IEEE Transactions on Parallel and Distributed Systems, 2022<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/doi.org\/10.1016\/j.cviu.2022.103437\" data-type=\"URL\" data-id=\"https:\/\/doi.org\/10.1016\/j.cviu.2022.103437\">Are 3D Convolutional Networks Inherently Biased towards Appearance?<\/a><\/strong><br><strong>P. Byvshev<\/strong>; P. Mettes and <strong>Y. Xiao<\/strong><br>Journal of Computer Vision and Image Understanding, 2022<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3530910\" data-type=\"URL\" data-id=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3530910\">Resource-Efficient Continual Learning for Sensor-Based Human Activity Recognition<\/a><\/strong><br><strong>C. F. S. Leite<\/strong> and <strong>Y. Xiao<\/strong><br>ACM Transactions on Embedded Computing Systems, 2022<\/li>\n\n\n\n<li><a href=\"https:\/\/aaltodoc.aalto.fi\/handle\/123456789\/113103\"><strong>A UAV-assisted Multi-task Allocation Method for Mobile Crowd Sensing<\/strong><\/a><br>H. Gao, J. Feng, <strong>Y. Xiao,<\/strong> B. Zhang and W. Wang<br>IEEE Transactions on Mobile Computing, 2022<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9684543\">Data-Driven Capacity Planning for Vehicular Fog Computing<\/a><\/strong><br><strong>W. Mao, O.U. Akgul<\/strong>, A. Mehrabidavoodabadi, <strong>B. Cho, Y. Xiao<\/strong> and A. Yl\u00e4-J\u00e4\u00e4ski<br>IEEE Internet of Things, 14 pages, Jan 2022<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9551805\">Learning-based decentralized offloading decision making in an adversarial environment<\/a><\/strong><a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9551805\"> <\/a><br><strong>Cho, B. <\/strong>and <strong>Xiao, Y. <\/strong><br>IEEE Transactions on Vehicular Technology, November 2021<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/epdf\/10.1002\/spe.2987\">Ajalon: Simplifying the Authoring of Wearable Cognitive Assistants<\/a><\/strong> <br><strong>Pham, T.<\/strong>, Wang, W., <strong>Xiao, Y.<\/strong>, Pillai, P., Iyengar, R., Klatzky, R., Satyanarayanan, M. <br>Journal of Software: Practice and Experience, 25 pages, May 2021<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3409108\">Cross-site prediction on social influence for cold-start users in emerging online social networks<\/a><\/strong><br> Gong, Q., Chen, Y., He, X., <strong>Xiao, Y.<\/strong>, Hui, P., Wang, X., and Fu, X.<br>ACM Transactions on the Web. 23 pages. May 2021.&nbsp;<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9270280\">FlexSensing: A QoI and latency aware task allocation scheme for vehicle-based visual crowdsourcing via deep Q-network<\/a><\/strong><br><strong>Zhu, C.<\/strong>, Chiang, Y., <strong>Xiao, Y.<\/strong>, Ji, Y. <br>IEEE Internet of Things, 2020<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.mdpi.com\/1424-8220\/20\/22\/6622\">5G Beyond 3GPP Release 15 for Connected Automated Mobility in Cross-Border Contexts<\/a><\/strong> <br>Velez, G., Mart\u00c3\u00adn, \u00c3\u0081., <strong>Pastor, G.<\/strong>, Mutafungwa, E.<br><em>Sensors<\/em>, 2020<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9219175\">Constructing Measures of Sparsity<\/a><\/strong><br> <strong>Pastor, G.<\/strong>, Mora-Jimenez, I., Jantti, R., Caamano, A. <br>IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109\/TKDE.2020.3029851<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9091200\">Improving Cross-Subject Activity Recognition via Adversarial Learning<\/a><\/strong><br><strong>Leite, Clayton <\/strong>;<strong>Xiao, Yu<\/strong><br>IEEE Access, 13 pages. DOI: 10.1109\/ACCESS.2020.2993818<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9094578\">Understanding the User Behavior of Foursquare: A Data-driven Study based on the Entire Network<\/a><\/strong><br> Chen, Y., Hu, J., <strong>Xiao, Y.<\/strong>, Li, X., and Hui, P.<br>IEEE Transactions on Computational Social Systems. 14 pages. 2020.&nbsp;<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9068220\">Understanding the Working Time of Developers in IT Companies in China and the United States<\/a><\/strong><br> Zhang, J., Chen, Y., Gong, Q., Ding, A., <strong>Xiao, Y.<\/strong>, Wang, X., and Hui, P.<br> IEEE Software. 2020.&nbsp;<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9016107\">A Learning-based Credible Participant Recruitment Strategy for Mobile Crowd Sensing<\/a><\/strong><br>Gao, H., <strong>Xiao, Y.<\/strong>, Han, Y., Tian, Y., Wang, W.<br>IEEE Internet of Things Journal. 2020<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.mdpi.com\/2076-3417\/10\/4\/1392\">Does Augmented Reality Affect Sociability, Entertainment, and Learning? A Field Experiment.<\/a><\/strong><br>Savela, N., Oksanen, A., Kaakinen, M., <strong>Noreikis, M., Xiao, Y.<\/strong><br>Journal of Applied Sciences, 10 (4), Feb 2020.<\/li>\n\n\n\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/8861040?source=authoralert\"><strong>Effects of gamified augmented reality in public spaces<\/strong><\/a><br><strong>Noreikis, M.<\/strong>, Savela, N., Kaakinen, M., <strong>Xiao, Y.<\/strong>, Oksanen A.<br>IEEE Access (early access), 12 pages, October 2019<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/8768075\">Chameleon: Latency and Resolution Aware Task Offloading for Visual-based Assisted Driving<\/a><br>Zhu, C<\/strong>., Chiang, Y., Mehrabi, A., <strong>Xiao, Y<\/strong>., Yl\u00e4-J\u00e4\u00e4ski, A., Ji, Y.<br><strong>IEEE Transactions on Vehicular Technology<\/strong>, 11 pages, July 2019<\/li>\n\n\n\n<li><strong><a href=\"http:\/\/www.aodr.org\/_common\/do.php?a=current&amp;b=91&amp;bidx=1559&amp;aidx=19705\">Applying Embodied Design Improvisation for Physical Interaction in Augmented and Virtual Reality<\/a><\/strong><br><strong>Lee, J.,<\/strong> Diaz-Kommonen, L., <strong>Xiao, Y.<\/strong><br>Archives of Design Research, vol 32, no. 2, 2019<\/li>\n\n\n\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/8489874\"><strong>Folo: Latency and Quality Optimized Task Allocation in Vehicular Fog Computing <\/strong><\/a><br><strong>C. Zhu<\/strong>, J. Tao, <strong>G. Pastor, Y. Xiao<\/strong>, Y. Ji, Q. Zhou, Y. Li, and A. Yl\u00e4-j\u00e4\u00e4ski<br><strong>IEEE Internet of Things Journal<\/strong>, vol. 6, issue 3, pp. 4150-4161, June 2019<\/li>\n\n\n\n<li><strong><a class=\"link\" rel=\"ContributionToJournal\" href=\"https:\/\/research.aalto.fi\/en\/publications\/neurophysiological-correlates-of-collective-perceptual-decisionmaking(2a61fd3b-8111-4dbc-85d9-ffc499a67351).html\">Neurophysiological correlates of collective perceptual decision-making<\/a><\/strong><br>Baumgart, K. G.,<strong> Byvshev, P.<\/strong>, Sliby, A. N., Strube, A., K\u00c3\u00b6nig, P., &amp; Wahn, B.<br>European Journal of Neuroscience. 2019.<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/8493119\">Vehicular fog computing for video crowdsourcing: Applications, feasibility and challenges<\/a><\/strong><br><strong>C. Zhu<\/strong>,<strong> G. Pastor<\/strong>,<strong> Y. Xiao<\/strong>, and A. Yl\u00c3\u00a4-J\u00c3\u00a4\u00c3\u00a4ski<br><strong>IEEE Communications Magazine<\/strong>, pp. 58-63, vol.56, no.10, 2018<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/8539017\">We know your preferences in new cities: Mining and modeling the behavior of travelers<\/a><br><\/strong>R. Xie, Y. Chen, Q. Xie,&nbsp;<strong>Y. Xiao<\/strong>, and X. Wang<strong><br><\/strong>IEEE Communications Magazine, vol. 56, no. 11, pp. 28-35, November 2018<\/li>\n\n\n\n<li><strong> <a rel=\"noopener noreferrer\" href=\"https:\/\/link.springer.com\/article\/10.1007\/s11280-018-0633-7\" target=\"_blank\">Exploring the power of social hub services<\/a><br><\/strong>Q. Gong, Y. Chen, X. Yu, C. Xu, Z. Guo, <strong>Y. Xiao<\/strong>, F.B. Abdesslem, X. Wang, and P. Hui<strong><br><\/strong>World Wide Web: Internet and Web Information Systems (WWW), 2018&nbsp;|&nbsp;&nbsp;&nbsp;<a rel=\"noopener noreferrer\" style=\"background-color: rgb(232, 234, 235); font-weight: 600;\" href=\"https:\/\/link.springer.com\/article\/10.1007\/s11280-018-0633-7\" target=\"_blank\"><img decoding=\"async\" loading=\"lazy\" width=\"18\" height=\"18\" class=\"alignnone wp-image-244\" src=\"http:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png\" alt=\"pdf\" srcset=\"https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png 150w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-300x300.png 300w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf.png 435w\" sizes=\"(max-width: 18px) 100vw, 18px\" \/><\/a><\/li>\n\n\n\n<li><strong><a rel=\"noopener noreferrer\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8416714\/\" target=\"_blank\">ViNav: A vision-based indoor navigation system for smartphones<\/a><\/strong><br>J. Dong, <strong>M. Noreikis<\/strong>,<strong> Y. Xiao<\/strong>, and A. Yl\u00e4-J\u00e4\u00e4ski<br><strong>IEEE Transactions on Mobile Computing<\/strong>, vol., no., 2018&nbsp;&nbsp;|&nbsp;&nbsp;&nbsp;<a rel=\"noopener noreferrer\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8416714\/\" target=\"_blank\"><img decoding=\"async\" loading=\"lazy\" width=\"18\" height=\"18\" class=\"alignnone wp-image-244\" src=\"http:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png\" alt=\"pdf\" srcset=\"https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png 150w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-300x300.png 300w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf.png 435w\" sizes=\"(max-width: 18px) 100vw, 18px\" \/><\/a><figure><a rel=\"noopener noreferrer\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8416714\/\" target=\"_blank\"><\/a><\/figure><\/li>\n\n\n\n<li><strong><a rel=\"noopener noreferrer\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8401327\/\" target=\"_blank\">A low-rank tensor model for imputation of missing vehicular traf\u00ef\u00ac\u0081c volume<\/a><\/strong><br><strong>G. Pastor<\/strong><br><strong>IEEE Transactions on Vehicular Technology<\/strong>, vol. 67, no. 9, 2018&nbsp;&nbsp;|&nbsp;&nbsp;<a rel=\"noopener noreferrer\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8401327\/\" target=\"_blank\"><img decoding=\"async\" loading=\"lazy\" width=\"18\" height=\"18\" class=\"alignnone wp-image-244\" src=\"http:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png\" alt=\"pdf\" srcset=\"https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png 150w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-300x300.png 300w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf.png 435w\" sizes=\"(max-width: 18px) 100vw, 18px\" \/><\/a><figure><a rel=\"noopener noreferrer\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8401327\/\" target=\"_blank\"><\/a><\/figure><\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/8080202\/\">A survey on security, privacy and trust in mobile crowdsourcing<\/a><br><\/strong>W. Feng, Z. Yan, H. Zhang, K. Zeng, <strong>Y. Xiao<\/strong>, and Y.T. Hou<br>IEEE Internet of Things Journal, vol. 5, no. 4, August 2018 |&nbsp;&nbsp;&nbsp;<a rel=\"noopener noreferrer\" href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/8080202\/\" target=\"_blank\"><img decoding=\"async\" loading=\"lazy\" width=\"18\" height=\"18\" class=\"alignnone wp-image-244\" src=\"http:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png\" alt=\"pdf\" srcset=\"https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png 150w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-300x300.png 300w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf.png 435w\" sizes=\"(max-width: 18px) 100vw, 18px\" \/><\/a><figure><a rel=\"noopener noreferrer\" href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/8080202\/\" target=\"_blank\"><\/a><\/figure><\/li>\n\n\n\n<li><strong><a rel=\"noopener noreferrer\" href=\"https:\/\/link.springer.com\/article\/10.1007%2Fs11280-018-0551-8\" target=\"_blank\">Understanding skout users&#8217; mobility patterns on a global scale: A data-driven study<\/a><\/strong>&nbsp;<strong><br><\/strong>R. Xie, Y. Chen, S. Lin, T. Zhang, <strong>Y. Xiao<\/strong>, and&nbsp;X. Wang,<br>World Wide Web: Internet and Web Information Systems, 2018&nbsp; |&nbsp;&nbsp;&nbsp;<a rel=\"noopener noreferrer\" href=\"https:\/\/link.springer.com\/article\/10.1007%2Fs11280-018-0551-8\" target=\"_blank\"><img decoding=\"async\" loading=\"lazy\" width=\"18\" height=\"18\" class=\"alignnone wp-image-244\" src=\"http:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png\" alt=\"pdf\" srcset=\"https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png 150w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-300x300.png 300w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf.png 435w\" sizes=\"(max-width: 18px) 100vw, 18px\" \/><\/a><figure><a rel=\"noopener noreferrer\" href=\"https:\/\/link.springer.com\/article\/10.1007%2Fs11280-018-0551-8\" target=\"_blank\"><\/a><\/figure><\/li>\n\n\n\n<li><strong><a rel=\"noopener noreferrer\" href=\"https:\/\/dl.acm.org\/citation.cfm?id=3161185\" target=\"_blank\">CTS: A cellular-based trajectory tracking system with GPS-level accuracy<\/a><\/strong><br>X. Huang,&nbsp;Y. Li, Y. Wang, <strong>Y. Xiao<\/strong>, and L. Zhang<br>ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol. 1, no. 4, 2018&nbsp; |&nbsp;&nbsp;&nbsp;<a rel=\"noopener noreferrer\" href=\"https:\/\/dl.acm.org\/citation.cfm?id=3161185\" target=\"_blank\"><img decoding=\"async\" loading=\"lazy\" width=\"18\" height=\"18\" class=\"alignnone wp-image-244\" src=\"http:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png\" alt=\"pdf\" srcset=\"https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png 150w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-300x300.png 300w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf.png 435w\" sizes=\"(max-width: 18px) 100vw, 18px\" \/><\/a><figure><a rel=\"noopener noreferrer\" href=\"https:\/\/dl.acm.org\/citation.cfm?id=3161185\" target=\"_blank\"><\/a><\/figure><\/li>\n\n\n\n<li><strong><a rel=\"noopener noreferrer\" href=\"http:\/\/ieeexplore.ieee.org\/document\/8267206\/?reload=true\" target=\"_blank\">Measurement and analysis of the swarm social network with tens of millions of nodes<\/a><\/strong><br>Y. Chen, J. Hu, H. Zhang, <strong>Y. Xiao<\/strong>, and P. Hui<br>IEEE Access, vol. PP, no. 99, 2018&nbsp; |&nbsp;&nbsp;&nbsp;<a rel=\"noopener noreferrer\" href=\"http:\/\/ieeexplore.ieee.org\/document\/8267206\/?reload=true\" target=\"_blank\"><img decoding=\"async\" loading=\"lazy\" width=\"18\" height=\"18\" class=\"alignnone wp-image-244\" src=\"http:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png\" alt=\"pdf\" srcset=\"https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png 150w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-300x300.png 300w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf.png 435w\" sizes=\"(max-width: 18px) 100vw, 18px\" \/><\/a><figure><a rel=\"noopener noreferrer\" href=\"http:\/\/ieeexplore.ieee.org\/document\/8267206\/?reload=true\" target=\"_blank\"><\/a><\/figure><\/li>\n\n\n\n<li><strong><a rel=\"noopener noreferrer\" href=\"http:\/\/ieeexplore.ieee.org\/document\/8167330\/\" target=\"_blank\">Diamond: Nesting the data center network with wireless rings in 3-D space<\/a><br><\/strong>Y. Cui, S. Xiao, X. Wang, Z. Yang, S. Yan, <strong>C. Zhu,<\/strong> X. Li, and N. Ge.<br>IEEE\/ACM Transactions on Networking, vol. PP, no. 99, 2016&nbsp; |&nbsp;&nbsp;&nbsp;<a rel=\"noopener noreferrer\" href=\"http:\/\/ieeexplore.ieee.org\/document\/8167330\/\" target=\"_blank\"><img decoding=\"async\" loading=\"lazy\" width=\"18\" height=\"18\" class=\"alignnone wp-image-244\" src=\"http:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png\" alt=\"pdf\" srcset=\"https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png 150w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-300x300.png 300w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf.png 435w\" sizes=\"(max-width: 18px) 100vw, 18px\" \/><\/a><figure><a rel=\"noopener noreferrer\" href=\"http:\/\/ieeexplore.ieee.org\/document\/8167330\/\" target=\"_blank\"><\/a><\/figure><\/li>\n\n\n\n<li><strong><a rel=\"noopener noreferrer\" href=\"https:\/\/dl.acm.org\/citation.cfm?id=2840723\" target=\"_blank\">Modeling, profiling, and debugging the energy consumption of mobile devices<\/a><br><\/strong>M.A.&nbsp;Hoque, M. Siekkinen, K.N.&nbsp;Khan, <strong>Y. Xiao<\/strong>, and S. Tarkoma<br>ACM Computing Surveys (CSUR), vol. 48, no. 3, 2016&nbsp; |&nbsp;&nbsp;&nbsp;<a rel=\"noopener noreferrer\" href=\"https:\/\/dl.acm.org\/citation.cfm?id=2840723\" target=\"_blank\"><img decoding=\"async\" loading=\"lazy\" width=\"18\" height=\"18\" class=\"alignnone wp-image-244\" src=\"http:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png\" alt=\"pdf\" srcset=\"https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png 150w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-300x300.png 300w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf.png 435w\" sizes=\"(max-width: 18px) 100vw, 18px\" \/><\/a><figure><a rel=\"noopener noreferrer\" href=\"https:\/\/dl.acm.org\/citation.cfm?id=2840723\" target=\"_blank\"><\/a><\/figure><\/li>\n\n\n\n<li><a rel=\"noopener noreferrer\" href=\"http:\/\/ieeexplore.ieee.org\/document\/7400987\/?reload=true\" target=\"_blank\"><strong>Asymptotic expansions for heavy-tailed data<\/strong><\/a><br><strong>G. Pastor<\/strong>, I. Mora-Jimenez, A.J. Caamano, and R. J\u00e4ntti<br>IEEE Signal Processing Letters, vol. 23, no. 4, 2016&nbsp; |&nbsp;&nbsp;&nbsp;<a rel=\"noopener noreferrer\" href=\"http:\/\/ieeexplore.ieee.org\/document\/7400987\/?reload=true\" target=\"_blank\"><img decoding=\"async\" loading=\"lazy\" width=\"18\" height=\"18\" class=\"alignnone wp-image-244\" src=\"http:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png\" alt=\"pdf\" srcset=\"https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-150x150.png 150w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf-300x300.png 300w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2017\/12\/pdf.png 435w\" sizes=\"(max-width: 18px) 100vw, 18px\" \/><\/a><figure><a rel=\"noopener noreferrer\" href=\"http:\/\/ieeexplore.ieee.org\/document\/7400987\/?reload=true\" target=\"_blank\"><\/a><\/figure><\/li>\n<\/ol>\n\n\n\n<p><strong>Peer-reviewed conference proceedings (55):<\/strong><\/p>\n\n\n\n<ol>\n<li><strong>UniSLAD: A Unified Framework for Structural and Logical Industrial Visual Anomaly Detection<\/strong> <br><strong>C. Li<\/strong>, C. Yang, <strong>Y. Xiao<\/strong>, K. Tammi <br>IEEE CASE 2026<\/li>\n\n\n\n<li><strong>Deep Reinforcement Learning for Automated Guided Vehicle Trajectory Planning in Industry 4.0<\/strong><br> Q. Zhou, W. Mao, <strong>Y. Xiao<\/strong>, M. Tsukada, Y. Ji <br>IEEE INFOCOM 2026 Workshop on DOICT-IndSoc<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/doi.org\/10.1145\/3788851.3805006\" data-type=\"URL\" data-id=\"https:\/\/doi.org\/10.1145\/3788851.3805006\">Virtual Sauna \u2013 Evaluating an Immersive Thermal Motion Experienc<\/a>e<\/strong><br><strong>T. Moesgen<\/strong>, D. Degraen, A. Salovaara, <strong>Y. Xiao<\/strong><br> ACM IMX&#8217;26. <\/li>\n\n\n\n<li><strong>UAV-Enabled Integrated Sensing, Semantic Communication, and Computation: Disaster-Oriented Edge Computing and Sensing<\/strong> <br>Y. Liu, W. Mao, X. Li, <strong>Y. Xiao<\/strong>, W. Huangfu and K. Long  <br>IEEE ICFEC&#8217;26 <\/li>\n\n\n\n<li><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3774904.3792690\" data-type=\"URL\" data-id=\"https:\/\/dl.acm.org\/doi\/10.1145\/3774904.3792690\"><strong>FediScan: Collaborative Social Bot Detection in the Fediverse<\/strong> <\/a><br>M. Gao, W. Wen, H. Du, Q. Duan, <strong>Y. Xiao<\/strong>, Y. Li, X. Wang, Y. Chen  <br>The Web Conference 2026<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/inspirehep.net\/literature\/3154024\" data-type=\"URL\" data-id=\"https:\/\/inspirehep.net\/literature\/3154024\">A Portable Hybrid Quantum-Classical Neural Network for Continual Learning<\/a><\/strong>.<br> <strong>Z. Yang<\/strong>, Y. Bai, <strong>C. Li<\/strong>, and <strong>Y. Xiao<\/strong>. <br>QC-AI 2026 (co-located with QCNC 2026)<\/li>\n\n\n\n<li><strong>LingoMotion: An Interpretable and Unambiguous Symbolic Representation for Human Motion<\/strong><br><strong>Y. Zhang, Z. Liu, Y. Xiao<\/strong><br>IEEE Percom 2026 WiP<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/research.aalto.fi\/en\/publications\/s2tkd-dual-student-knowledge-distillation-for-industrial-visual-a\/\" data-type=\"URL\" data-id=\"https:\/\/research.aalto.fi\/en\/publications\/s2tkd-dual-student-knowledge-distillation-for-industrial-visual-a\/\">S2TKD: Dual-Student Knowledge Distillation for Industrial Visual Anomaly Detection and Localization<\/a><br>C. Li,<\/strong> C. Yang, <strong>Y. Xiao<\/strong> <br>IEEE Big Data 2025<\/li>\n\n\n\n<li><strong>E<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3737821.3749576\" data-type=\"URL\" data-id=\"https:\/\/dl.acm.org\/doi\/10.1145\/3737821.3749576\">-static Sensors: Leveraging Triboelectricity for Enabling Gesture-based Interactions with Everyday Textiles<\/a><\/strong><br><strong>R. Gowrishankar<\/strong>,<strong> C. Leite, H. Mauranen, Y. Xiao<\/strong><br>ACM MobileHCI\u201925 Late-breaking<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3746252.3761162\" data-type=\"URL\" data-id=\"https:\/\/dl.acm.org\/doi\/10.1145\/3746252.3761162\">Higher-Order Information Matters: A Representation Learning Approach for Social Bot Detection<\/a><\/strong><br> M. Gao, Q. Duan, B. Liu, <strong>Y. Xiao<\/strong>, X. Wang and Y. Chen <br> ACM CIKM\u201925<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3715071.3750407\">Comparative Analysis of Knitting Patterns for Wearable Resistive Strain Sensors in Joint Motion Measurements<\/a><\/strong><br><strong>A. Schepers, Y. Zhang, Y. Xiao<\/strong> <br>29th annual International Symposium on Wearable Computers (ISWC&#8217;25)<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3714394.3756228\" data-type=\"URL\" data-id=\"https:\/\/dl.acm.org\/doi\/10.1145\/3714394.3756228\">Assessing Knit Parameters and Performance of Strain Sensors Made from Stainless Steel and Polypyrrole-based Yarns<\/a> <br>R. Gowrishankar, <\/strong>I. Mattila, M. Iannacchero, F. Bazarir, J. Vapaavuori, <strong>Y. Xiao<\/strong><br>SoftWearables&#8217;25, co-located with Ubicomp\/ISWC&#8217;25<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/doi.org\/10.5194\/isprs-archives-XLVIII-1-W5-2025-169-2025\" data-type=\"URL\" data-id=\"https:\/\/doi.org\/10.5194\/isprs-archives-XLVIII-1-W5-2025-169-2025\">Object Localization and Change Detection in Urban Environments using Dashcam Videos<\/a><\/strong><br> <strong>A. Zhanabatyrova, Y. Xiao<\/strong>, A. Elalailyi, F. Remondino. <br>Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1\/W5-2025<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3701716.3715298\" data-type=\"URL\" data-id=\"https:\/\/dl.acm.org\/doi\/10.1145\/3701716.3715298\">FediLive: A Framework for Collecting and Preprocessing Snapshots of Decentralized Online Social Networks<\/a><\/strong><br>S. Min, S. Wang, Y. Luo, M. Gao, Q. Gong, Y. Chen and <strong>Y. Xiao<\/strong> <br>WWW&#8217;25 <\/li>\n\n\n\n<li><strong><a href=\"https:\/\/doi.org\/10.1145\/3698387.3699997\" data-type=\"URL\" data-id=\"https:\/\/doi.org\/10.1145\/3698387.3699997\">EGGPU: Enabling Efficient Large-Scale Network Analysis with Consumer-Grade GPUs<\/a><\/strong><br> J. Tang, M. Gao, <strong>Y. Xiao<\/strong>, C. Li, and Y. Chen <br>SocialMeta &#8217;24<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/doi.org\/10.1145\/3636534.3698220\">UAV-Assisted Integrated Sensing and Communication for Emergency&nbsp;Rescue Activities Based on Transfer Deep Reinforcement Learning<\/a><\/strong><br> Y. Liu, W. Mao, X. Li, W. Huangfu, Y. Ji, <strong>Y. Xiao<\/strong><br> 3rd ACM MobiCom Workshop&nbsp;on Integrated Sensing and Communication Systems for 6G (ACM&nbsp;ISACOM-WS 2024)<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/transp-or.epfl.ch\/heart\/2024\/abstracts\/hEART_2024_paper_3882.pdf\" data-type=\"URL\" data-id=\"https:\/\/transp-or.epfl.ch\/heart\/2024\/abstracts\/hEART_2024_paper_3882.pdf\">Understanding and predicting human behavior in interactions with autonomous systems in urban environments: a systematic review, challenges, and opportunities<\/a><\/strong><br> D. Li, <strong>W. Mao<\/strong>, F. C. Pereira, <strong>Y. Xiao<\/strong>, X. Su, and R. Krueger. <br> 12<sup>th<\/sup> Symposium of the European Association for Research in Transportation, 2024.<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3672406.3672423\">ThermoTouch: Exploring a modular design of a programmable wearable thermo-haptic device<\/a><\/strong><br><strong>E. Vikberg, Y. Tseng, T. Moesgen, R. Gowrishankar, Y. Xiao<\/strong><br>ISIM 2024 (co-located with ACM IMX&#8217;24)<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3672406.3672426\">Accelerating XR Innovation through a pan-European Lab Network: An overview of the EMIL project<\/a><\/strong><br>J. Bl\u00f6nnigen, C. Clarke, A. Dahn, et al. <br>ISIM 2024 (co-located with ACM IMX&#8217;24)<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/eurohaptics.org\/ehc2024\/wp-content\/uploads\/sites\/5\/2024\/06\/1024-doc_s.pdf\" data-type=\"URL\" data-id=\"https:\/\/eurohaptics.org\/ehc2024\/wp-content\/uploads\/sites\/5\/2024\/06\/1024-doc_s.pdf\">Apparent thermal motion on the forearm<\/a><\/strong><br><strong>T. Moesgen<\/strong>, H. Ho, and <strong>Y. Xiao<\/strong><br>EuroHaptics 2024<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/doi.org\/10.1145\/3625468.3652173\" data-type=\"URL\" data-id=\"https:\/\/doi.org\/10.1145\/3625468.3652173\">Pandia: Open-source Framework for DRL-based Real-time Video Streaming Control<\/a><\/strong><br><strong>X. Li, E. Vikberg, B. Cho, and Y. Xiao.<\/strong> <br>Proceedings of 15th ACM Multimedia Systems Conference (MMSys&#8217;24)<\/li>\n\n\n\n<li><strong><a href=\"http:\/\/doi.acm.org?doi=3623509.3633364\" data-type=\"URL\" data-id=\"doi.acm.org?doi=3623509.3633364\">Beyond Hot and Cold \u2013 Exploring the Design Space of Full-Body Thermal Experiences<\/a><\/strong><br><strong>T. Moesgen, R. Gowrishankar, and Y. Xiao<\/strong><br>Proceedings of ACM International Conference on Tangible, Embedded and Embodied Interaction (TEI) 2024<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/doi.ieeecomputersociety.org\/10.1109\/BigData59044.2023.10386419\" data-type=\"URL\" data-id=\"https:\/\/doi.ieeecomputersociety.org\/10.1109\/BigData59044.2023.10386419\">Detecting and Classifying Changes in Traffic Rules using Induction Loop Data<\/a><\/strong><br><strong>A. Zhanabatyrova, C. Leite, and Y. Xiao<\/strong><br>Proceedings of 2023 IEEE Conference on Big Data<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.designresearchsociety.org\/textileintersections\/textileintersections2023\/researchpapers\/15\/\" data-type=\"URL\" data-id=\"https:\/\/dl.designresearchsociety.org\/textileintersections\/textileintersections2023\/researchpapers\/15\/\">Woven Variables &#8211; Investigating the Influence of Conductive Float Arrangements on the Performance of Woven Piezoresistive Pressure Sensors<\/a><\/strong><br>J. Ma, <strong>R. Gowrishankar,<\/strong> E. Pouta, and <strong>Y. Xiao.<\/strong><br>Proceedings of the 3rd edition of Textile Intersections Conference. 2023.<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9860334\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/9860334\">Benchmarking Edge Devices Using Serverless Computing<\/a><\/strong><br>K. Rajput, C. Kulkarni,&nbsp;<strong>B. Cho<\/strong>, W. Wang, and I. Kim.<br>IEEE EDGE 2022.  July 2022. <\/li>\n\n\n\n<li><strong><a href=\"http:\/\/doi.acm.org?doi=3545729.3545759\" data-type=\"URL\" data-id=\"doi.acm.org?doi=3545729.3545759\">Designing vibrotactile motion guidance for stroke rehabilitation<\/a><\/strong><br><strong>T. Moesgen<\/strong>, A. Salovaara, <strong>E. Pouta<\/strong>, R. Pyykk\u00f6, <strong>Y. Xiao<\/strong><br>ICMHI 2022. May 2022. <\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9860852\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/9860852\">Energy-Efficient Multi-Task Allocation for Antenna Array Empowered Vehicular Fog Computing<\/a><\/strong><br> X. Xie, R. Zhang, C. Zhu, R. Li, X. Bu, <strong>Y. Xiao<\/strong><br>IEEE VTC2022-Spring, 6 pages<\/li>\n\n\n\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9700636\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/9700636\"><strong>Balancing latency and accuracy on deep video analytics at the edge<\/strong> <\/a><br> X. Li, B. Cho and Y. Xiao <br>IEEE CCNC 2022. 8 pages. <\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3412382.3458278\">Optimal sensor channel selection for resource-efficient deep activity recognition.<\/a><\/strong><br><strong>Leite, C., Xiao, Y.<\/strong><br>ACM IPSN 2021. 13 pages. May 2021.<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3430524.3440657\">Arpilleras Parlantes: Designing Educational Material for the Creation of Interactive Textile Art based on a Traditional Chilean Craft<\/a><\/strong><br><strong>Guridi, S.<\/strong>, Vicencio T., Gajardo R.<br>ACM TEI 2021. 11 pages.<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3419016.3431492\">Dataset: A video set of wooden box assembly<\/a><\/strong><br> Zhang, J., <strong>Byvshev, P., Xiao, Y. <\/strong> <br>3rd Workshop on Data Acquisition to Analysis (DATA&#8217;20) <br> <a href=\"https:\/\/zenodo.org\/record\/4040605#.X47In5MzZ-U\">http:\/\/doi.org\/10.5281\/zenodo.4040605 <\/a> <\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3394171.3413663\">VIMES: A wearable memory assistance system for automatic information retrieval<\/a><\/strong><br>Fernandez, C., Braud, T., Yang, J., Mirjafari, S., Shi, B., <strong>Xiao, Y.<\/strong>, Hui, P. <br>28th ACM International Conference on Multimedia (MM&#8217;20), 10 pages<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3372278.3390675\">Heterogeneous Non-local Fusion for Multimodal Activity Recognition<\/a><br>Byvshev, Petr<\/strong>; Mettes, Pascal; <strong>Xiao, Yu<\/strong><br>Annual ACM International Conference on Multimedia Retrieval (ICMR 2020).  <a href=\"https:\/\/www.loom.com\/share\/cea196ae7f5c420396931b8b46ed5c90\"><strong>Video Presentation<\/strong><\/a><br><\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3383972.3384036\">Image-based Renovation Progress Inspection with Deep Siamese Networks.<\/a><\/strong><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3383972.3384036\"><br><\/a><strong>Byvshev, P., Pham, T., Xiao, Y.<\/strong><br>12th International Conference on Machine Learning and Computing (ICMLC 2020). June, 2020. Shenzhen, China. 10 pages. <br><\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3340531.3411873\">Deep graph convolutional networks for incident-driven traffic speed prediction<\/a><\/strong><br>Xie, Q., Guo, T., Chen, Y., <strong>Xiao, Y.<\/strong>, Wang, X., and Zhao, B. <br>29th ACM International Conference on Information and Knowledge Management (CIKM\u00e2\u20ac\u212220)<br><\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3376897.3377859\">Improving Resource Efficiency of Deep Activity Recognition via Redundancy Reduction<\/a>&nbsp; &nbsp; &nbsp;<\/strong><br><strong>Leite, C., Xiao, Y.<\/strong><br>21st International workshop on mobile computing systems and applications (HotMobile 2020). March 3-4, 2020. Austin Texas, US. 6 pages.&nbsp; &nbsp; (<a href=\"https:\/\/www.youtube.com\/watch?v=KMdq24XhGAw\">Presentation on YouTube<\/a>)<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3360774.3360779\">DeepLoc: Deep Neural Network-based Telco Localization<\/a> (Best Paper Award)<\/strong><br>Zhang, Y.,&nbsp; <strong>Xiao, Y.<\/strong>, Zhao, K., and Rao, W.<br>16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2019), pp. 258-267, November 12\u00e2\u20ac\u201c14, 2019, Houston, United States. ACM, New York, NY, USA.<\/li>\n\n\n\n<li><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3357384.3357971\"><b>Detecting Malicious Accounts in Online Developer Communities Using Deep Learning<\/b><\/a><br>Gong, Q., Zhang, J.,&nbsp;Chen, Y., Li, Q., <strong>Xiao, Y.<\/strong>, Wang, X. and Hui, P.<br>28th ACM International Conference on Information and Knowledge Management (CIKM\u00e2\u20ac\u212219), 10 pages, Nov. 2019.<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/8879201\">CrowParking: Crowdsourcing based parking navigation in autonomous driving era<\/a><\/strong><br><strong>Zhu, C., <\/strong>Mehrabi, A.<strong>,&nbsp; Xiao, Y.<\/strong>, Wen, Y.<br>International&nbsp;Conference on Electromagnetics in Advanced Applications (ICEAA 2019), 5 pages, September 2019<\/li>\n\n\n\n<li><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3337897\"><strong>Artemis: A Practical Low-Latency Naming and Routing System<\/strong><\/a><br>Li, X., Liu, B., Chen, Y.,&nbsp;&nbsp;<strong>Xiao, Y.<\/strong>, Tang, J., Wang, X.<br>48th International Conference on Parallel Processing (ICPP&#8217;19), 10 pages, August 2019<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/8821817\">Edge Capacity Planning for Real Time Compute-Intensive Applications<\/a><\/strong><br><strong>M. Noreikis<\/strong>,<strong> Y. Xiao<\/strong>, Y. Jiang<br>IEEE International Conference on Fog Computing (ICFC), 10 pages, June 2019<\/li>\n\n\n\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/8788784\"><strong>Traffic Congestion Prediction by Spatiotemporal Propagation Patterns<\/strong><\/a><br>Di, X., <strong>Xiao, Y.<\/strong>, <strong>Zhu, C.<\/strong>, Deng, Y., Zhao, Q., Rao, W.<br>20<sup>th<\/sup> IEEE International Conference on Mobile Data Management (MDM&#8217;19), 6 pages, June 2019.<\/li>\n\n\n\n<li><strong><a href=\"http:\/\/www.isea-archives.org\/isea2019-presentations\/isea2017-keynote-alain-ruche-how-looking-at-life-from-another-angle-enriches-the-contribution-of-art-and-technology-to-socio-economic-development-and-peace-2-3-3-2-2-2-2-2-2-4-2-3-4-2-2-2-2-4-2-2-1-38\/\">Reasonable Weirdness: Integrating Machine Perspective in Visual Creativity<\/a><\/strong><br>Min, S., <strong>Lee, J.<\/strong><br>International Symposium on Electronic Art (ISEA), pp. 233-239, 2019<\/li>\n\n\n\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/8567574\"><strong>Low-cost mapping of RFID tags using reader-equipped smartphones<\/strong><\/a><br><strong>Y. Sato<\/strong>,<strong> M. Noreikis<\/strong>,&nbsp;and <strong>Y. Xiao<\/strong><br>IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), pp. 299-307, 2018<strong><br><\/strong><\/li>\n\n\n\n<li><strong><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3274170\">An empirical study of the usage of the swarm app&#8217;s cross-site sharing feature<\/a><br><\/strong>S. Lin, R. Xie, Y. Chen, <strong>Y. Xiao<\/strong>, and P. Hui<strong><br><\/strong>Workshop on Mining and Learning from Smartphones Apps for Users (AppLens, In conjunction with ACM UbiComp), pp. 823-832, 2018<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-981-13-3044-5_24\">Identification of influential users in emerging online social networks using cross-site linking<\/a><br><\/strong>Q. Gong, Y. Chen, X. He, F. Li, <strong>Y. Xiao<\/strong>, P. Hui, X. Wang, and X. Fu<strong><br><\/strong>Chinese Conference on Computer Supported Cooperative Work and Social Computing (ChineseCSCW), 2018<\/li>\n\n\n\n<li><strong> <a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/8416326\/\">SnapTask: towards efficient visual crowdsourcing for indoor mapping<\/a><br>M. Noreikis, Y. Xiao<\/strong>, J. Hu, and&nbsp; Y. Chen,<br><strong>IEEE Conference on Distributed Computing Systems (ICDCS)<\/strong>, 2018<\/li>\n\n\n\n<li><strong><a rel=\"noopener noreferrer\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8397129\/\" target=\"_blank\">Fog following me: Latency and quality balanced task allocation in vehicular fog computing<\/a><\/strong><br><strong>C. Zhu<\/strong>,&nbsp;<strong>G. Pastor<\/strong>,&nbsp;<strong>Y. Xiao<\/strong>,&nbsp;L. Yong, and A. Yl\u00e4-J\u00e4\u00e4ski<br><strong>Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)<\/strong>, 2018&nbsp;&nbsp;<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/8616631\">A 5G-V2X Based Collaborative Motion Planning for Autonomous Industrial Vehicles at Road Intersections<\/a><\/strong><br>Y. Shi, Y. Pan, Z. Zhang, Y. Li and <strong>Y. Xiao<\/strong><br>2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.net.informatik.uni-goettingen.de\/publications\/2056\/Airbnb_Networking18.pdf\">Measurement and analysis of the reviews in Airbnb<\/a><\/strong><br>Q. Zhou, Y. Chen, C. Ma, F. Li,&nbsp;<strong>Y. Xiao<\/strong>, X. Wang, and X. Fu<br>IFIP Networking Conference (Networking), 2018<\/li>\n\n\n\n<li><strong><a rel=\"noopener noreferrer\" href=\"https:\/\/dl.acm.org\/citation.cfm?id=3177112\" target=\"_blank\">Unsupervised workflow extraction from first-person video of mechanical assembly<\/a><br>T. Pham<\/strong>, and&nbsp;<strong>Y. Xiao<\/strong><br><strong>ACM&nbsp;International Workshop on Mobile Computing Systems and Applications (HotMobile)<\/strong>, 2018&nbsp;<\/li>\n\n\n\n<li><strong><a rel=\"noopener noreferrer\" href=\"https:\/\/dl.acm.org\/citation.cfm?id=3126733\" target=\"_blank\">SeeNav: Seamless and energy-efficient indoor navigation using augmented reality<\/a><\/strong><br><strong>M. Noreikis<\/strong>,&nbsp;<strong>Y. Xiao<\/strong>, and A. Yl\u00e4-J\u00e4\u00e4ski<br>ACM Multimedia &#8211; Thematic Workshops, 2017&nbsp; <\/li>\n\n\n\n<li><strong><a rel=\"noopener noreferrer\" href=\"http:\/\/ieeexplore.ieee.org\/document\/7997387\/\" target=\"_blank\">QoS-oriented capacity planning for edge computing<\/a><br>M. Noreikis<\/strong>,&nbsp;<strong>Y. Xiao<\/strong>, and A. Yl\u00c3\u00a4-J\u00c3\u00a4\u00c3\u00a4ski<br>IEEE International Conference on Communications (ICC), 2017&nbsp; <\/li>\n\n\n\n<li><strong><a rel=\"noopener noreferrer\" href=\"http:\/\/ieeexplore.ieee.org\/document\/7917508\/\" target=\"_blank\">Vehicular fog computing: Vision and challenges<\/a><br>Y. Xiao<\/strong>, and&nbsp;<strong>C. Zhu<br><\/strong>IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2017&nbsp; <\/li>\n\n\n\n<li><strong><a rel=\"noopener noreferrer\" href=\"http:\/\/ieeexplore.ieee.org\/document\/7460679\/\" target=\"_blank\">Indoor tracking using crowdsourced maps<\/a><br><\/strong>J. Dong, <strong>Y. Xiao<\/strong>, Z. Ou, Y. Cui, and A. Yl\u00e4-J\u00e4\u00e4ski<br><strong>ACM\/IEEE International Conference on Information Processing in Sensor Networks (IPSN)<\/strong>, 2016&nbsp; <\/li>\n<\/ol>\n\n\n\n<p><strong>Invited paper:<\/strong><\/p>\n\n\n\n<ol>\n<li><strong><a rel=\"noopener noreferrer\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8400445\/\" target=\"_blank\">Understanding the behavioural differences between American and German users: A data-driven study<\/a><br><\/strong>C. Yang, Y. Chen, Q. Gong,&nbsp;X. He,&nbsp;<strong>Y.<\/strong>&nbsp;<strong>Xiao<\/strong>, Y. Huang, and X. Fu<br>Big Data Mining and Analytics, vol. 1, no. 4, 2018&nbsp; <\/li>\n<\/ol>\n\n\n\n<p><strong>Extended abstracts (5):<\/strong><\/p>\n\n\n\n<ol>\n<li><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3772363.3799108\" data-type=\"URL\" data-id=\"https:\/\/dl.acm.org\/doi\/10.1145\/3772363.3799108\">Demonstrating Virtual Sauna \u2013 Experiencing Thermal Motion through Wearable Haptics for VR<\/a> <strong><br>T. Moesgen, R. Gowrishankar, E. Vikberg, H. Hsu, P. Johansson, Y. Xiao<\/strong> <br>ACM CHI&#8217;26 demo session<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/research.aalto.fi\/en\/publications\/revisiting-the-impact-of-domain-similarity-on-the-performance-of-\/\" data-type=\"URL\" data-id=\"https:\/\/research.aalto.fi\/en\/publications\/revisiting-the-impact-of-domain-similarity-on-the-performance-of-\/\">Revisiting the impact of domain similarity on the performance of cross-domain few-shot activity recognition<\/a><\/strong><br><strong>C. Li, Y. Xiao <\/strong><br>IEEE BigData&#8217;25<\/li>\n\n\n\n<li><a href=\"https:\/\/research.aalto.fi\/en\/publications\/an-evaluation-framework-for-textile-stretch-sensor-layouts-based-\/\" data-type=\"URL\" data-id=\"https:\/\/research.aalto.fi\/en\/publications\/an-evaluation-framework-for-textile-stretch-sensor-layouts-based-\/\"><strong>An Evaluation Framework for Textile Stretch Sensor Layouts based on Mutual Information<\/strong> <\/a><br>J. Mo, N. Qu, Y. Wan, L. Chen, <strong>Y. Xiao<\/strong>, Q. Wang <br>ACM Ubicomp\/ISWC&#8217;25 <\/li>\n\n\n\n<li><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3275156\"><strong>Deep Neural Network-based Telco Outdoor Localization<\/strong><\/a><br>Y. Zhang, W. Rao, <strong>Y. Xiao.<\/strong><br>The 16th ACM Conference on Embedded Networked Sensor Systems (SenSys), 2018<\/li>\n\n\n\n<li><strong><a href=\"http:\/\/hotmobile.org\/2018\/papers\/posters\/noreikis-hotmobile18.pdf\">Crowdsourced geocaching for indoor maps reconstruction<\/a><br><\/strong> <strong>M. Noreikis, Y. Xiao<\/strong><br>The 19th International Workshop on Mobile Computing Systems and Applications (HotMobile), 2018<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Doctoral Dissertations (9): Tim Moesgen. Understanding and Designing Thermal Motion Feedback for Immersive Experiences. 2026. Public defense on September 15, 2026. Aziza Zhanabatyrova. Crowdsourced 3D Semantic Mapping and Change Detection in Urban Driving Environments. 2025. Public defense on March 24, 2025. Xuebing Li. Enhancing Latency Reduction and Reliability for Internet Services with QUIC and WebRTC. [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=\/wp\/v2\/pages\/14"}],"collection":[{"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=14"}],"version-history":[{"count":491,"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=\/wp\/v2\/pages\/14\/revisions"}],"predecessor-version":[{"id":2202,"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=\/wp\/v2\/pages\/14\/revisions\/2202"}],"wp:attachment":[{"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=14"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}