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: Friday at 4pm-5pm, Location: Jolley 224'''
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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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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])
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* Wireless Health ([http://www.wirelesshealth2013.org/])
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* Wireless Health ([http://mobihealth.name/])
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* MobiCom ([http://www.sigmobile.org/mobicom/2013/])
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* MobiCom ([https://sigmobile.org/mobicom/2019/])
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* MobiSys ([http://www.sigmobile.org/mobisys/2013/])
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* MobiSys ([http://www.sigmobile.org/mobisys/2019/])
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* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2013/])
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* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2019/])
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* NSDI ([https://www.usenix.org/conference/nsdi14])
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* NSDI ([https://www.usenix.org/conference/nsdi19])
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* SOSP ([http://http://sigops.org/sosp/sosp13/])
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* SOSP ([https://www.sigops.org/])
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* OSDI ([https://www.usenix.org/conference/osdi14/])
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* OSDI ([https://www.usenix.org/conference/osdi18/])
  
  
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=== ---January 4 ---===
 
  
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Ruixuan
 
  
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=== ---January 11 ---===
 
  
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Cancelled
 
  
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=== ---January 18 ---===
 
  
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Ben (Practice Talk)
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==Previous Semesters==
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=== ---January 25 ---===
 
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Dee
 
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=== ---February 1 ---===
 
  
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Yehan
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* [[Seminar Fall 2019|Fall 2019]]
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* [[Seminar Summer 2019|Summer 2019]]
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=== ---February 8 ---===
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* [[Seminar Spring 2019|Spring 2019]]
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Dingwen
 
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=== ---February 15 ---===
 
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Haoran
 
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=== ---February 22 ---===
 
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Chao
 
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=== ---March 1 ---===
 
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Jiangnan
 
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=== ---March 8 ---===
 
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Chong
 
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=== ---March 15 ---===
 
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Canceled
 
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=== ---March 22 ---===
 
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Chao
 
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=== ---March 29 ---===
 
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Ruixuan
 
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=== ---April 5 ---===
 
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Yehan
 
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=== ---April 12 ---===
 
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Dingwen
 
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=== ---April 19 ---===
 
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Haoran
 
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=== ---April 26 ---===
 
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Chao
 
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=== ---May 3 ---===
 
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Jiangnan
 
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=== ---May 10 ---===
 
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Chong
 
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==Previous Semesters==
 
 
* [[Seminar Fall 2018|Fall 2018]]
 
* [[Seminar Fall 2018|Fall 2018]]
 
* [[Seminar Summer 2018|Summer 2018]]
 
* [[Seminar Summer 2018|Summer 2018]]
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==Previous Lab Meetings==
 
==Previous Lab Meetings==
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* [[Labmeeting Spring 2020|Spring 2020]]
 
* [[Labmeeting Fall 2014|Fall 2014]]
 
* [[Labmeeting Fall 2014|Fall 2014]]
 
* [[Labmeeting Summer 2014|Summer 2014]]
 
* [[Labmeeting Summer 2014|Summer 2014]]
 
* [[Labmeeting Spring 2014|Spring 2014]]
 
* [[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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