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 10am-12pm, Location: Jolley 224'''
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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/nsdi14])
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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/osdi14/])
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* OSDI ([https://www.usenix.org/conference/osdi18/])
  
  
=== ---May 11 ---===
 
  
Dingwen
 
  
=== ---May 18 ---===
 
  
Yehan
 
  
=== ---May 25 ---===
 
  
Haoran
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==Previous Semesters==
 
 
=== ---June 1 ---===
 
 
 
Dee
 
 
 
=== ---June 8 ---===
 
 
 
Chao
 
 
 
=== ---June 15 ---===
 
 
 
Xi
 
 
 
D. Zhang, Y. Ma, Y. Zhang, S. Lin, X. Hu and D. Wang, A real-time and non-cooperative task allocating framework for social sensing applications in edge computing systems, RTAS,2018
 
 
 
=== ---June 22 ---===
 
 
 
Ruixuan
 
 
 
=== ---June 29 ---===
 
 
 
Dee
 
 
 
=== ---July 6---===
 
  
Chong
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* [[Seminar Fall 2019|Fall 2019]]
 
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* [[Seminar Summer 2019|Summer 2019]]
=== ---July 13---===
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* [[Seminar Spring 2019|Spring 2019]]
 
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* [[Seminar Fall 2018|Fall 2018]]
Dingwen
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* [[Seminar Summer 2018|Summer 2018]]
 
 
=== ---July 20---===
 
 
 
Haoran
 
 
 
=== ---July 27---===
 
 
 
Chao
 
 
 
=== ---August 3---===
 
 
 
Xi
 
 
 
=== ---August 10---===
 
 
 
Ruixuan
 
 
 
=== ---August 17---===
 
 
 
Chong
 
 
 
 
 
 
 
==Previous Semesters==
 
 
* [[Seminar Spring 2018|Spring 2018]]
 
* [[Seminar Spring 2018|Spring 2018]]
 
* [[Seminar Fall 2017|Fall 2017]]
 
* [[Seminar Fall 2017|Fall 2017]]
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==Previous Lab Meetings==
 
==Previous Lab Meetings==
 +
* [[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