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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=== May 17, 2012 - Jing Li ===
 
  
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Bipasa Chattopadhyay, Sanjoy Baruah. A lookup-table driven approach to partitioned scheduling. RTAS 2011.
 
  
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Links: [http://www.cs.unc.edu/~bipasa/publications/2011-chattopadhyayB-RTAS.pdf paper]
 
  
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=== May 24, 2012 - Yong Fu ===
 
  
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H.Hoffmann, S.Sidiroglou, M.Carbin, S.Misailovic, A.Agarwal, M.Rinard. Dynamic Knobs for Responsive Power-Aware Computing. ASPLOS 2011.
 
  
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Links: [http://people.csail.mit.edu/rinard/paper/asplos11.pdf paper]
 
  
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=== May 31, 2012 - Sisu Xi ===
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==Previous Semesters==
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Ajay Gulati, Arif Merchant, and Peter J. Varman. mClock: Handling Throughput Variability for Hypervisor IO Scheduling. OSDI 2010
 
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Links: [http://static.usenix.org/event/osdi10/tech/full_papers/Gulati.pdf paper] [http://static.usenix.org/event/osdi10/tech/slides/gulati.pdf slides]
 
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=== Jun 7, 2012 - N/A ===
 
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Canceled due to time conflict.
 
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=== Jun 14, 2012 - Bo Li ===
 
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A. Cervin and K.-E. Arzen, “TrueTime: Simulation tool for performance analysis of real-time embedded systems,” in Model-Based Design for
 
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Embedded Systems, G. Nicolescu and P. J. Mosterman, Eds. CRC Press, Nov. 2009.
 
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Links: [http://www.control.lth.se/documents/2009/cer+arz09.pdf paper] [http://www.artist-embedded.org/docs/Events/2007/China_School/Presentations/Arzen4b_TrueRealTime.pdf slides]
 
  
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=== Jun 21, 2012 - N/A ===
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* [[Seminar Fall 2019|Fall 2019]]
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* [[Seminar Summer 2019|Summer 2019]]
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Canceled due to time conflict.
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* [[Seminar Spring 2019|Spring 2019]]
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* [[Seminar Fall 2018|Fall 2018]]
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=== Jun 28, 2012 - Rahav Dor ===
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* [[Seminar Summer 2018|Summer 2018]]
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* [[Seminar Spring 2018|Spring 2018]]
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Matthew Keally, Gang Zhou, Guoliang Xing, Jianxin Wu and Andrew Pyles. PBN: Towards Practical Activity Recognition Using Smartphone-Based Body Sensor Networks. Sensys 2011.
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* [[Seminar Fall 2017|Fall 2017]]
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* [[Seminar Summer 2017|Summer 2017]]
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Links: [http://bscw.wineme.fb5.uni-siegen.de/pub/bscw.cgi/d802434/pbn_sensys11.pdf paper]
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* [[Seminar Spring 2017|Spring 2017]]
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* [[Seminar Fall 2016|Fall 2016]]
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=== Jul 5, 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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=== Jul 12, 2012 - Chengjie Wu ===
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* [[Seminar Fall 2015|Fall 2015]]
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* [[Seminar Summer 2015|Summer 2015]]
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=== Jul 19, 2012 - Bo Li ===
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* [[Seminar Spring 2015|Spring 2015]]
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* [[Seminar Fall 2014|Fall 2014]]
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=== Jul 26, 2012 - Sisu Xi ===
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* [[Seminar Summer 2014|Summer 2014]]
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* [[Seminar Spring 2014|Spring 2014]]
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=== Aug 2, 2012 - Mo Sha ===
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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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==Previous Semesters==
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* [[Seminar Fall 2012|Fall 2012]]
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* [[Seminar Summer 2012|Summer 2012]]
 
* [[Seminar Spring 2012|Spring 2012]]
 
* [[Seminar Spring 2012|Spring 2012]]
 
* [[Seminar Fall 2011|Fall 2011]]
 
* [[Seminar Fall 2011|Fall 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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