Advanced Topics in Computer Networks (ATCN) 2019

Details

Workload/ECTS Credits: 5 ECTS
Module: M.Inf.1222.Mp: Specialization Computer Networks Module Description
Lecturer: Prof. Xiaoming Fu; Dr. Yali Yuan
Teaching assistant: []
Time: Thu. 14:00-16:00
Place: IfI 0.101
UniVZ link


Course Overview

The purpose of this seminar is to discuss some advanced topics in computer networks. This course is a theory-oriented research seminar (5 ECTS, 2 SWS), 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,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

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: Essay (5~6 pages, double columns, IEEE format) 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 ~5 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: Now to 10th July 2019.


  • Final Presentation:
    • Each for ~20 minutes, plus ~10 minutes Q&A



  • Final Report:
    • Essay ( 5-6 pages, double columns, IEEE format)
    • Due by 23:59pm 30 August 2019