Difference between revisions of "CSE730x Research Seminar"

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* '''Instructor:''' [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu]
 
* '''Instructor:''' [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu]
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* '''Time: Thursday at 3pm-4:00pm, Location: Bryan 509C'''
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* '''Time: Thursday at 4pm-4:50pm, Location: Jolley 431'''
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* '''Google group:''' [http://groups.google.com/group/wu-systems-seminar google group]
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* '''Google group:''' [https://groups.google.com/forum/#!forum/wustlmlseminar group for machine learning seminar]
  
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This seminar examines machine learning by studying seminal papers and recent research results. Each semester, the seminar emphasizes different themes reflecting the current research interests of the participants. The theme of this semester's seminar is '''Machine Learning for Health'''. We will read and discuss papers from recent major conferences on machine learning, data mining, and AI related to healthcare.  These conferences include:
  
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This seminar examines fundamental and emerging concepts in concurrency and distribution by studying seminal papers and recent research results.  Broad topics of interest include models of concurrency, mobile computing, parallel architectures, sensor networks, distributed algorithms, and specialized protocols. Each semester, the seminar emphasizes different themes reflecting the current research interests of the participants.
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* SenSys ([http://sensys.acm.org])
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* IPSN ([http://ipsn.acm.org])
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The theme of this semester's seminar is Wireless Sensor Networks. We will read and discuss papers from recent major conferences on mobile, wireless, and sensor networks and systems.  These conferences include:
 
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* SenSys ([http://sensys.acm.org/2011/])
 
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* IPSN ([http://ipsn.acm.org/2011/])
 
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* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2011/])
 
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* MobiCom ([http://www.sigmobile.org/mobicom/2011/])
 
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* MobiSys ([http://www.sigmobile.org/mobisys/2011/])
 
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* NSDI ([http://www.usenix.org/events/nsdi11/])
 
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* SOSP ([http://sosp2011.gsd.inesc-id.pt/])
 
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* OSDI ([http://www.usenix.org/events/osdi10/index.html])
 
 
* RTSS ([http://www.rtss.org/])
 
* RTSS ([http://www.rtss.org/])
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* RTAS ([http://www.rtas.org/rtas2011/index.htm])
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* RTAS ([http://www.rtas.org/])
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* Wireless Health ([http://www.wirelesshealth2011.org/])
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* ICCPS ([http://www.iccps.org])
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* BodyNets ([http://bodynets.org])
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* Wireless Health ([http://mobihealth.name/])
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* BSN ([http://www.bsn2011.org])
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* MobiCom ([https://sigmobile.org/mobicom/2019/])
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* MobiSys ([http://www.sigmobile.org/mobisys/2019/])
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* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2019/])
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* NSDI ([https://www.usenix.org/conference/nsdi19])
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* SOSP ([https://www.sigops.org/])
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* OSDI ([https://www.usenix.org/conference/osdi18/])
  
  
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=== Jan 19, 2012 - Lab Spring Kick-off 2012 ===
 
  
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=== Jan 26, 2012 - Greg Hackmann ===
 
  
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IEEE tutorial on 802.15.6 [https://mentor.ieee.org/802.15/dcn/11/15-11-0826-01-0006-ieee-802-15-6-tutorial.ppt slides]).
 
  
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802.15.6 is a forthcoming PHY and MAC standard for Body Area Networks. It's currently in the late stages of the standardization process and is
 
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expected to be finalized in 2012.
 
  
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Talk on the WSN server.
 
  
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=== Feb 2, 2012 - Sisu Xi ===
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==Previous Semesters==
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Hofer, W., Lohmann, D., & Schr, W. "SLEEPY SLOTH: Threads as Interrupts as Threads". RTSS 2011
 
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(http://www4.informatik.uni-erlangen.de/Research/Sloth/)
 
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=== Feb 9, 2012 - Abusayeed Saifullah ===
 
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C
 
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. Wilson, H. Ballani, T. Karagiannis, A. Rowstron; ''Better Never than Late: Meeting Deadlines in Datacenter Networks''; SIGCOMM 2011.
 
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Links: [http://research.microsoft.com/pubs/149468/sigcomm11-d3.pdf Paper]
 
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=== Feb 16, 2012 - Abusayeed Saifullah ===
 
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DSS practise talke.
 
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=== Feb 23, 2012 - Chong Li ===
 
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Sanjay Kumar and Karsten Schwan; ''Netchannel: A VMM-level Mechanism for Continuous, Transparent Device Access During VM Migration''; VEE 2008.
 
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Links: [http://dcclab.sogang.ac.kr/dcc/course/upload/1206591119netchannel.pdf Paper]
 
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=== Mar 1, 2012 - Jing Li ===
 
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=== Mar 8, 2012 - Chengjie Wu ===
 
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=== Mar 15, 2012 - N/A ===
 
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Canceled due to Spring Break.
 
  
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=== Mar 22, 2012 - Yong Fu ===
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* [[Seminar Fall 2019|Fall 2019]]
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* [[Seminar Summer 2019|Summer 2019]]
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=== Mar 29, 2012 - Fei Yu ===
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* [[Seminar Spring 2019|Spring 2019]]
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* [[Seminar Fall 2018|Fall 2018]]
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=== Apr 5, 2012 - Mo Sha ===
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* [[Seminar Summer 2018|Summer 2018]]
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* [[Seminar Spring 2018|Spring 2018]]
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=== Apr 12, 2012 - Rahav Dor ===
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* [[Seminar Fall 2017|Fall 2017]]
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* [[Seminar Summer 2017|Summer 2017]]
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=== Apr 19, 2012 - Bo Li ===
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* [[Seminar Spring 2017|Spring 2017]]
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* [[Seminar Fall 2016|Fall 2016]]
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=== Apr 26, 2012 - Jing Li ===
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* [[Seminar Summer 2016|Summer 2016]]
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* [[Seminar Spring 2016|Spring 2016]]
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=== May 3, 2012 - Chong Li ===
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* [[Seminar Fall 2015|Fall 2015]]
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* [[Seminar Summer 2015|Summer 2015]]
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* [[Seminar Spring 2015|Spring 2015]]
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==Previous Semesters==
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* [[Seminar Fall 2014|Fall 2014]]
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* [[Seminar Summer 2014|Summer 2014]]
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* [[Seminar Spring 2014|Spring 2014]]
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* [[Seminar Fall 2013|Fall 2013]]
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* [[Seminar Summer 2013|Summer 2013]]
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* [[Seminar Spring 2013|Spring 2013]]
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* [[Seminar Fall 2012|Fall 2012]]
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* [[Seminar Summer 2012|Summer 2012]]
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* [[Seminar Spring 2012|Spring 2012]]
 
* [[Seminar Fall 2011|Fall 2011]]
 
* [[Seminar Fall 2011|Fall 2011]]
 
* [[Seminar Summer 2011|Summer 2011]]
 
* [[Seminar Summer 2011|Summer 2011]]
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* [http://cec.wustl.edu/~cs673/backUp/fall.1998.html Fall 1998]
 
* [http://cec.wustl.edu/~cs673/backUp/fall.1998.html Fall 1998]
 
* [http://cec.wustl.edu/~cs673/backUp/spring.1998.html Spring 1998]
 
* [http://cec.wustl.edu/~cs673/backUp/spring.1998.html Spring 1998]
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==Previous Lab Meetings==
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* [[Labmeeting Spring 2020|Spring 2020]]
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* [[Labmeeting Fall 2014|Fall 2014]]
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* [[Labmeeting Summer 2014|Summer 2014]]
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* [[Labmeeting Spring 2014|Spring 2014]]

Latest revision as of 21:49, 9 January 2020

This seminar examines machine learning by studying seminal papers and recent research results. Each semester, the seminar emphasizes different themes reflecting the current research interests of the participants. The theme of this semester's seminar is Machine Learning for Health. We will read and discuss papers from recent major conferences on machine learning, data mining, and AI related to healthcare. These conferences include:




Previous Semesters

Previous Lab Meetings

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