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Jie Xu

Assistant Professor College of EngineeringElectrical & Computer Engineering Department
Work Phone: (305) 284-8387

Biography


Biography

Jie Xu received the Ph.D. degree in Electrical Engineering from the University of California, Los Angeles, in 2015, and is a recipient of Distinguished Ph.D. Dissertation award. In July 2015, he joined the Department of Electrical and Computer Engineering at the University of Miami where he is currently an Assistant Professor. His current research focuses on edge computing, network security, machine learning and artificial intelligence for computer communication networks. Up-to-date information can be found at Personal website: https://sites.google.com/site/jiexuhomepage/

Research Interests

Edge Computing, Machine Learning, Game Theory, Network Security

HIGHER EDUCATION

    • University of California, Los Angeles, California, Ph.D. in Electrical Engineering (2015)
    • Tsinghua University, China, M.S. in Electronic Engineering (2010)
    • Tsinghua University, China, B.S. in Electronic Engineering (2008)

EXPERIENCE

    • University of Miami, Assistant Professor. Electrical and Computer Engineering (2015 - Present)
    • University of California, Graduate Research Assistant. Electrical Engineering (2010 - 2015)

PUBLICATIONS

  • Juried or Refereed Journal Articles or Exhibitions

    • Zhou, P., Wang, K., Xu, J., Wu, D. O. (2018).Differentially-Private and Trustworthy Online Social Multimedia Big Data Retrieval in Edge Computing. IEEE Transactions on Multimedia.
    • Feng, Y., Zhou, P., Xu, J., Ji, S., Wu, D. O. (2018).Video Big Data Retrieval Over Media Cloud: A Context-aware Online Learning Approach. IEEE Transactions on Multimedia.
    • Chen, L., Zhou, P., Gao, L., Xu, J. (2018).Adaptive Fog Configuration for the Industrial Internet of Things. IEEE Transactions on Industrial Informatics.
    • Chen, L., Zhou, S., Xu, J. (2018).Computation Peer Offloading for Energy-Constrained Mobile Edge Computing in Small-Cell Networks. IEEE/ACM Transactions on Networking.
    • Xu, J., Chen, L., Liu, K., Shen, C. (2018).Designing Security-Aware Incentives for Computation Offloading via Device-to-Device Communication. IEEE Transactions on Wireless Communications.
    • Chen, L., Xu, J., Ren, S., Zhou, P. (2018).Spatio-temporal Edge Service Placement: A Bandit Learning Approach. IEEE Transactions on Wireless Communications, 7, 8838-8401.
    • Xu, J., Moon, K. -., van der Schaar, M. (2017).A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs. IEEE J. Sel. Topics Signal Process., PP, 1.
    • Sun, Y., Zhou, S., Xu, J. (2017).EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks. IEEE J. Sel. Areas Commun. - Special issue on "Emerging Technologies in Software-Driven Communication".
    • Xu, J., Chen, L., Ren, S. (2017).Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing. IEEE Trans. Cognitive Communications and Networking.
    • Yuan, Z., Xu, J., van der Schaar, M. (2016).Bits Learning: User-adjustable Privacy versus Accuracy in Internet Traffic Classification. IEEE Communications Letters.
    • Xu, J., Song, L., van der Schaar, M., Xu, J., Pottie, G. (2016).Personalized Active Learning for Activity Classification using Wireless Wearable Sensors. IEEE J. Sel. Topics in Signal Process..
    • Xu, J., Xing, T., van der Schaar, M. (2016).Personalized Course Sequence Recommendation. IEEE Trans. Signal Process..
    • Meier, Y., Xu, J., Atan, O., van der Schaar, M. (2016).Predicting Grades. IEEE Trans. Signal Process..
    • Mastronarde, N., Patel, V., Xu, J., van der Schaar, M., Liu, L. (2016).To Relay or Not to Relay: Learning Device-to-Device Relaying Strategies in Cellular Networks. IEEE Trans. Mobile Computing.
    • Li, S., Xu, J., van der Schaar, M., Li, W. (2016).Trend-Aware Video Caching through Online Learning. accepted by IEEE Trans. Multimedia.
    • Wolf, M., van der Schaar, M., Kim, H., Xu, J. (2015).Analysis and Decision-Making in Caring Environments for Adults with Special Needs Adults. IEEE Design & Test - Special issue on "Cyber Physical systems for Medical Applications".
    • Xu, J., Tekin, C., van der Schaar, M. (2015).Distributed Multi-Agent Online Learning with Global Feedback. IEEE Trans. Signal Process..
    • Xu, J., van der Schaar, M. (2015).Efficient Working and Shirking in Networks. IEEE J. Sel. Areas Commun. - Bonus Issue for Emerging Technologies.
    • Xu, J., van der Schaar, M. (2015).Incentive-Compatible Demand-Side Management for Smart Grids based on Review Strategies. EURASIP Journal on Advances in Signal Processing.
    • Xu, J., Deng, D., Demiryurek, U., Shahabi, C., van der Schaar, M. (2015).Mining the Situation: Spatiotemporal Traffic Prediction with Big Data. IEEE J. Sel. Topics Signal Process - Special issue on "Signal Processing for Big Data".
    • Shen, C., Xu, J., van der Schaar, M. (2015).Silence is Gold: Strategic Interference Mitigation Using Tokens in Heterogeneous Small Cell Networks. IEEE J. Sel. Areas Commun. - Special issue on"Heterogenous Communication Networks".
    • Song, L., Hsu, W., Xu, J., van der Schaar, M. (2015).Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening. IEEE Journal of Biomedical and Health Informatics.
    • Xu, J., van der Schaar, M., Liu, J., Li, H. (2014).Forecasting Popularity of Videos using Social Media. IEEE J. Sel. Topics Signal Process. - Special issue on "Situational Awareness from Networked Sensors and Social Media".
    • Xu, J., Andreopoulos, Y., Xiao, Y., van der Schaar, M. (2014).Non-stationary Resource Allocation Policies for Delay-constrained Video Streaming: Application to Video over Internet-of-Thingsenabled Networks. IEEE J. Sel. Areas Commun. - Special issue on "Adaptive Media Streaming".
    • Xu, J., Song, Y., van der Schaar, M. (2014).Sharing in Networks of Strategic Agents. IEEE J. Sel. Topics Signal Process. - Special issue on "Signal Processing for Social Networks".
    • Zame, W., Xu, J., van der Schaar, M. (2013).Cooperative Multi-Agent Learning and Coordination for Cognitive Radio Networks. IEEE J. Sel. Areas Commun. - Special issue on "Cognitive Radio Series".
    • Xu, J., Zame, W., van der Schaar, M. (2013).Efficient Online Exchange via Fiat Money. Economic Theory.
    • Zhou, S., Xu, J., Niu, Z. (2013).Interference-Aware Relay Selection Scheme for Two-Hop Relay Networks with Multiple Source-Destination Pairs. IEEE Trans. Vehi. Tech..
    • Xu, J., van der Schaar, M. (2013).Token System Design for Wireless Relay Networks with SelfInterested Transceivers. IEEE Trans. Commun..
    • Zame, W., Xu, J., van der Schaar, M. (2013).Winning the Lottery: Learning Perfect Coordination with Minimal Feedback. IEEE J. Sel. Topics Signal Process. - Special issue on "Learning-Based Decision Making in Dynamic Systems under Uncertainty".
    • Xu, J., van der Schaar, M. (2012).Social Norm Design for Information Exchange Systems with Limited Observations. IEEE J. Sel. Areas Commun. - Special issue on "Economics of Communication Networks and Systems".
  • Book Chapters

    • Xu, J., van der Schaar, M., Zhang, S., Tekin, C. (2018). Marketing and advertising, trend prediction, recommendation systems, and crowdsourcing. Cooperative and Graph Signal Processing: Principles and Applications (pp. ). Elsevier.
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