Advanced topics in mobile and social computing (AToMSC) (Winter 2019/2020): Difference between revisions

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==Schedule==
==Schedule==


* 18 April 2019
* 24 Oct. 2019
**Informational Meeting
**Informational Meeting




* 2 May 2019
* 7 Nov. 2019
**'''Improving our mental health'''
**'''Object detection in autonomous driving'''
***Rui Wang, Weichen Wang, Alex daSilva, Jeremy F. Huckins, William M. Kelley, Todd F. Heatherton, Andrew T. Campbell, [https://dl.acm.org/citation.cfm?id=3191775 Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing], ACM UbiComp 2018. ('''Presented by Yuhan Wang''')
***Ngiam, Jiquan, et al, [https://arxiv.org/pdf/1908.11069.pdf StarNet: Targeted Computation for Object Detection in Point Clouds], 2019. ('''Presented by ''')






* 9 May 2019
* 14 Nov. 2019
**'''Improving our mental health'''
**'''Improving our mental health'''
***Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jayesh Kamath, Athanasios Bamis, Jinbo Bi, Alexander Russell, Bing Wang, [https://dl.acm.org/citation.cfm?id=3287073 Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure], ACM UbiComp 2018.  ('''Presented by Cong Li''')  
***Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jayesh Kamath, Athanasios Bamis, Jinbo Bi, Alexander Russell, Bing Wang, [https://dl.acm.org/citation.cfm?id=3287073 Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure], ACM UbiComp 2018.  ('''Presented by Cong Li''')  
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*16 May 2019
*21 Nov. 2019
**'''Improving our mental health'''
**'''Improving our mental health'''
***Landu Jiang, Xinye Lin, Xue Liu, Chongguang Bi, Guoliang Xing, [https://dl.acm.org/citation.cfm?id=3161179 SafeDrive: Detecting Distracted Driving Behaviors Using Wrist-Worn Devices], ACM UbiComp 2018.  ('''Presented by Rezai, Masoud''')  
***Landu Jiang, Xinye Lin, Xue Liu, Chongguang Bi, Guoliang Xing, [https://dl.acm.org/citation.cfm?id=3161179 SafeDrive: Detecting Distracted Driving Behaviors Using Wrist-Worn Devices], ACM UbiComp 2018.  ('''Presented by Rezai, Masoud''')  
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* 23 May 2019
* 28 Nov. 2019
**'''Dynamic Adaptive Streaming over QUIC'''
**'''Dynamic Adaptive Streaming over QUIC'''
***Perkins, Colin, and Jörg Ott, [https://csperkins.org/publications/2018/12/perkins2018rtp-quic.pdf Real-time Audio-Visual Media Transport over QUIC], EPIQ’18.  ('''Presented by Ding-Ze Hu''')  
***Perkins, Colin, and Jörg Ott, [https://csperkins.org/publications/2018/12/perkins2018rtp-quic.pdf Real-time Audio-Visual Media Transport over QUIC], EPIQ’18.  ('''Presented by Ding-Ze Hu''')  




* 30 May 2019
* 05 Dec. 2019
***No Lecture
***No Lecture




* 6 June 2019 (Final topics release)
* 12 Dec. 2019 (Final topics release)
***No Lecture
***No Lecture




* 13 June 2019 '''Course time starts at 14:00pm'''
* 19 Dec. 2019 '''Course time starts at 14:00pm'''
**'''Deep Learning For Anomaly Detection '''
**'''Deep Learning For Anomaly Detection '''
***Soteris Demetriou, Puneet Jain, Kyu-Han Kim, [https://ieeexplore.ieee.org/abstract/document/8486281 CoDrive: Improving Automobile Positioning via Collaborative Driving], IEEE INFOCOM 2018. ('''Presented by Yuhan Wang''')
***Soteris Demetriou, Puneet Jain, Kyu-Han Kim, [https://ieeexplore.ieee.org/abstract/document/8486281 CoDrive: Improving Automobile Positioning via Collaborative Driving], IEEE INFOCOM 2018. ('''Presented by Yuhan Wang''')
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* 20 June 2019
* 09 Jan. 2020
**'''Cameras Everywhere (Each student selects one topic for review and submit the review report to StudIP)'''
**'''Cameras Everywhere (Each student selects one topic for review and submit the review report to StudIP)'''
***Georgios Kaiafas, Georgios Varisteas, Sofiane Lagraa, Radu State, Cu D Nguyen, Thorsten Ries, Mohamed Ourdane, [https://ieeexplore.ieee.org/abstract/document/8406295 Detecting malicious authentication events trustfully], IEEE IFIP 2018.  ('''Presented by Rezai, Masoud''')  
***Georgios Kaiafas, Georgios Varisteas, Sofiane Lagraa, Radu State, Cu D Nguyen, Thorsten Ries, Mohamed Ourdane, [https://ieeexplore.ieee.org/abstract/document/8406295 Detecting malicious authentication events trustfully], IEEE IFIP 2018.  ('''Presented by Rezai, Masoud''')  
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* 27 June 2019
* 16 Jan. 2020
**'''Cameras Everywhere'''
**'''Cameras Everywhere'''
***Erin Griffiths, Salah Assana, Kamin Whitehouse, [https://dl.acm.org/citation.cfm?id=3161198 Privacy-preserving Image Processing with Binocular Thermal Cameras], IEEE UbiComp 2018.  ('''Presented by Cong Li''')  
***Erin Griffiths, Salah Assana, Kamin Whitehouse, [https://dl.acm.org/citation.cfm?id=3161198 Privacy-preserving Image Processing with Binocular Thermal Cameras], IEEE UbiComp 2018.  ('''Presented by Cong Li''')  
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* 4 July 2019
* 23 Jan. 2020
**'''Dynamic Adaptive Streaming over QUIC (Each student selects one topic for review and submit the review report to StudIP)'''  
**'''Dynamic Adaptive Streaming over QUIC (Each student selects one topic for review and submit the review report to StudIP)'''  
***Bastian Alt, Trevor Ballard, Ralf Steinmetz, Heinz Koeppl, Amr Rizk, [https://arxiv.org/abs/1901.05712 CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming], IEEE INFOCOM 2019.  ('''Presented by Adhatarao, Sripriya Srikant''')  
***Bastian Alt, Trevor Ballard, Ralf Steinmetz, Heinz Koeppl, Amr Rizk, [https://arxiv.org/abs/1901.05712 CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming], IEEE INFOCOM 2019.  ('''Presented by Adhatarao, Sripriya Srikant''')  
***Gadaleta, Matteo, et al., [https://ieeexplore.ieee.org/abstract/document/8048013 D-DASH: A Deep Q-Learning Framework for DASH Video Streaming], IEEE Transactions on Cognitive Communications and Networking 2017.  ('''Presented by Adhatarao, Sripriya Srikant''')
***Gadaleta, Matteo, et al., [https://ieeexplore.ieee.org/abstract/document/8048013 D-DASH: A Deep Q-Learning Framework for DASH Video Streaming], IEEE Transactions on Cognitive Communications and Networking 2017.  ('''Presented by Adhatarao, Sripriya Srikant''')
 
 
 
* 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, [https://dl.acm.org/citation.cfm?id=3180715 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 Presentations & Report==

Revision as of 17:50, 24 October 2019

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

  • 24 Oct. 2019
    • Informational Meeting






  • 05 Dec. 2019
      • No Lecture


  • 12 Dec. 2019 (Final topics release)
      • No Lecture



  • 09 Jan. 2020
    • Cameras Everywhere (Each student selects one topic for review and submit the review report to StudIP)



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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