Advanced topics in mobile and social computing (AToMSC) (Winter 2019/2020)

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Details

Workload/ECTS Credits: 5 ECTS
Module: Please refer to below univz.
Lecturer: Prof. Xiaoming Fu; Dr. Yali Yuan
Teaching assistant: []
Time: Thu. 14:00-16:00
Place: IfI 0.101
UniVZ [1]


Course Overview

The purpose of this seminar is to discuss some advanced topics in Mobile computing, big data and social computing. This course is a theory-oriented but with practical implications research seminar (5 ECTS), held on a weekly base and comprising the following components:

  • Weekly Presentation + Weekly Paper Reading and Discussion
  • Final Presentation
  • Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN, JSAC, TMC, TPDS, TKDD, TKDE, ACM Transactions on Social Computing, SIGCOMM, CoNEXT, SIGMETRICS, INFOCOM, USENIX ATC, MOBICOM, MOBIHOC, MobiSys, Middleware, WWW, KDD, WSDM, ICWSM, SIGIR, CIKM, ASONAM, CIKM, NIPS, AAAI, IJCAI, ICDM, PERCOM, UbiComp, CSCW, ICIS, or from practical systems and case studies.

Requirements

  • Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
    • Summary of the paper
    • Pros AND cons of the paper (your conclusion)
    • NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [Paper_Review_Form_ATCN_WS201112.doc]
  • During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
  • In the middle of the semester, everyone is requested to pick a topic and prepare:
    • Final report: prepare an essay (8~9 pages, single column) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
    • Final presentation: each presentation for ~20 minutes, plus ~10 minutes Q&A

Schedule

  • 18 April 2019
    • Informational Meeting






  • 30 May 2019
      • No Lecture


  • 6 June 2019 (Final topics release)
      • No Lecture



  • 20 June 2019
    • Cameras Everywhere (Each student selects one topic for review and submit the review report to StudIP)




  • 11 July 2019 (Final slides submission)
    • Deep Learning For Anomaly Detection (Each student selects one topic for review and submit the review report to StudIP)
      • Kun xie, Xiaocan Li, Xin Wang, Gaogang Xie, Jigang Wen, Jiannong Cao, Dafang Zhang, Fast Tensor Factorization for Accurate Internet Anomaly Detection, IEEE TON 2017. (Presented by Fangxi Deng)
      • Yi Zhao, Meina Qiao, Haiyang Wang, Rui Zhang, Dan Wang, Ke Xu, Qi Tan [ TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information], IEEE INFOCOM 2019. (Presented by Fangxi Deng)

Final Presentations & Report

  • Final Registration in FlexNow: Time TBD.


  • Final Presentation:
    • Each for ~20 minutes, plus ~5 minutes Q&A


  • Final Presentation Slots:
  • 30 Jan. 2020 and 6 Feb. 2020
    • Object detection in autonomous driving
    • Differential Privacy in networks
    • Dynamic Adaptive Streaming over QUIC


  • Final Report:
    • Essay ( 8~9 pages, single column, IEEE format)
    • Due by 23:59pm 30 March 2020
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