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]
* '''Time: Thursday at 3pm-4:00pm, Location: Bryan 509C'''
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* '''Time: Thursday at 4pm-4:50pm, Location: Jolley 431'''
* '''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:
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.
 
 
 
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:
 
  
 
* SenSys ([http://sensys.acm.org])
 
* SenSys ([http://sensys.acm.org])
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* RTAS ([http://www.rtas.org/])
 
* RTAS ([http://www.rtas.org/])
 
* ICCPS ([http://www.iccps.org])
 
* ICCPS ([http://www.iccps.org])
* Wireless Health ([http://www.wirelesshealth2013.org/])
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* Wireless Health ([http://mobihealth.name/])
* MobiCom ([http://www.sigmobile.org/mobicom/2013/])
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* MobiCom ([https://sigmobile.org/mobicom/2019/])
* MobiSys ([http://www.sigmobile.org/mobisys/2013/])
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* MobiSys ([http://www.sigmobile.org/mobisys/2019/])
* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2013/])
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* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2019/])
* NSDI ([https://www.usenix.org/conference/nsdi13])
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* NSDI ([https://www.usenix.org/conference/nsdi19])
* SOSP ([http://http://sigops.org/sosp/sosp13/])
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* SOSP ([https://www.sigops.org/])
* OSDI ([https://www.usenix.org/conference/osdi12/])
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* OSDI ([https://www.usenix.org/conference/osdi18/])
  
  
  
=== Aug 29, 2013 - Jing Li ===
 
Arpan Gujarati, Felipe Cerqueira, and Björn Brandenburg, “Schedulability Analysis of the Linux Push and Pull Scheduler with Arbitrary Processor Affinities”, Proceedings of the 25th Euromicro Conference on Real-Time Systems (ECRTS 2013), to appear, July 2013. Outstanding Paper Award.[http://www.mpi-sws.org/~arpanbg/papers-pdf/ecrts2013.pdf Paper]
 
  
=== Sep 5, 2013 - Sisu Xi ===
 
  
Practice talk for CSE520 tutorial.
 
  
=== Sep 12, 2013 - Abusayeed Saifullah ===
 
P. Bahl, R. Chandra, T. Moscibroda, R. Murty, M. Welsh;  “White Space Networking with WiFi like Connectivity”, in SIGCOMM '09. [http://dl.acm.org/citation.cfm?id=1592573 Paper]
 
  
=== Sep 19, 2013 - Yong Fu ===
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==Previous Semesters==
 
 
Practice talk for interview.
 
 
 
=== Sep 26, 2013 - Dolvara Gunatilaka ===
 
Stephen Dawson-Haggerty, Steven Lanzisera, Jay Taneja, Richard Brown, and David Culler. @scale: insights from a large, long-lived appliance energy WSN., in IPSN '12. [http://dl.acm.org/citation.cfm?id=2185683 Paper]
 
 
 
=== Oct 3, 2013 - Chong Li ===
 
Cong Xu, Sahan Gamage, Hui Lu, Ramana Kompella, Dongyan Xu, Purdue University, "vTurbo: Accelerating Virtual Machine I/O Processing Using Designated Turbo-Sliced Core", in USENIX ATC'13[http://0b4af6cdc2f0c5998459-c0245c5c937c5dedcca3f1764ecc9b2f.r43.cf2.rackcdn.com/11761-atc13-xu.pdf]
 
 
 
=== Oct 10, 2013 - N/A ===
 
 
 
Canceled due to CPS deadlines.
 
 
 
=== Oct 17, 2012 - N/A ===
 
 
 
Canceled due to CPS deadlines.
 
 
 
=== Oct 24, 2013 - Chong Li  ===
 
MegaPipe: A New Programming Interface for Scalable Network I/O, OSDI'12
 
 
 
=== Oct 31, 2013 - Bo Li ===
 
Review on Networked Control Simulators: A Research Perspective, part 1. [Slides]
 
 
 
=== Nov 7, 2013 -  Bo Li ===
 
 
 
Review on Networked Control Simulators: A Research Perspective, part 2. [Slides]
 
 
 
=== Nov 14, 2013 - Mo Sha ===
 
 
 
Practice talk for RTSS.
 
  
=== Nov 21, 2013 -  N/A ===
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* [[Seminar Fall 2019|Fall 2019]]
 
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* [[Seminar Summer 2019|Summer 2019]]
Canceled due to travel for DGIST.
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* [[Seminar Spring 2019|Spring 2019]]
 
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* [[Seminar Fall 2018|Fall 2018]]
=== Nov 28, 2013 - N/A ===
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* [[Seminar Summer 2018|Summer 2018]]
 
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* [[Seminar Spring 2018|Spring 2018]]
Canceled due to Thanksgiving.
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* [[Seminar Fall 2017|Fall 2017]]
 
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* [[Seminar Summer 2017|Summer 2017]]
=== Dec 5, 2013 - N/A ===
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* [[Seminar Spring 2017|Spring 2017]]
 
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* [[Seminar Fall 2016|Fall 2016]]
Canceled due to RTSS.
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* [[Seminar Summer 2016|Summer 2016]]
 
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* [[Seminar Spring 2016|Spring 2016]]
=== Dec 12, 2013 - Rahav Dor ===
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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]]
==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]]
 
* [[Seminar Fall 2013|Fall 2013]]
 
* [[Seminar Fall 2013|Fall 2013]]
 
* [[Seminar Summer 2013|Summer 2013]]
 
* [[Seminar Summer 2013|Summer 2013]]
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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