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 10am-12pm, 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 19 ---===
 
  
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'''Seminar - Jing'''
 
  
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'''Lab Meeting - Chong'''
 
  
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=== ---January 26 ---===
 
  
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'''Seminar - Dee'''
 
  
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The Cost of Installing a 6TiSCH Schedule, Ad-Hoc Now'16
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==Previous Semesters==
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'''Lab Meeting - Yehan'''
 
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=== ---February 2 ---===
 
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'''Seminar - Chao'''
 
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Schlatow, Johannes, and Rolf Ernst. "Response-time analysis for task chains in communicating threads."
 
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Real-Time and Embedded Technology and Applications Symposium (RTAS), 2016 IEEE. IEEE, 2016. [http://ieeexplore.ieee.org/abstract/document/7461359/ IEEE-Xplore]
 
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'''Lab Meeting - Jing'''
 
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=== ---February 9 ---===
 
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'''Seminar - Chong'''
 
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Leandros Tassiulas, "Adaptive Back-Pressure Congestion Control Based on Local Information"
 
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IEEE Transactions on Automatic Control, 1995 [http://ieeexplore.ieee.org/document/341781/ Paper]
 
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'''Lab Meeting -Haoran '''
 
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=== ---February 16 ---===
 
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'''Seminar - Chong'''
 
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'''Lab Meeting - Xiaoling'''
 
  
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=== ---February 23 ---===
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* [[Seminar Fall 2019|Fall 2019]]
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* [[Seminar Summer 2019|Summer 2019]]
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'''Seminar - Kenji'''
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* [[Seminar Spring 2019|Spring 2019]]
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* [[Seminar Fall 2018|Fall 2018]]
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EkhoNet: high speed ultra low-power backscatter for next generation sensors, MobiCom'14 [https://people.cs.umass.edu/~dganesan/papers/Mobicom14-EkhoNet.pdf paper]
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* [[Seminar Summer 2018|Summer 2018]]
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* [[Seminar Spring 2018|Spring 2018]]
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'''Lab Meeting - Dee'''
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* [[Seminar Fall 2017|Fall 2017]]
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* [[Seminar Summer 2017|Summer 2017]]
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=== --- March 2 ---===
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* [[Seminar Spring 2017|Spring 2017]]
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'''Seminar - Haoran'''
 
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"NetBricks: Taking the V out of NFV" (OSDI'16) Aurojit Panda and Sangjin Han, University of California, Berkeley; Keon Jang, Google; Melvin Walls and Sylvia Ratnasamy, University of California, Berkeley; Scott Shenker. [https://www.usenix.org/system/files/conference/osdi16/osdi16-panda.pdf paper]
 
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'''Lab Meeting - Chao'''
 
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=== --- March 9 ---===
 
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'''Seminar - Dee'''
 
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Adaptive Real-time Communication for Wireless Cyber-physical Systems, ACM Transactions on Cyber-Physical System, January 2016.  [https://www.sics.se/~luca/papers/zimmerling17blink.pdf Paper]
 
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'''Lab Meeting - Yehan'''
 
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=== --- March 16 ---===
 
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'''Seminar - Yehan'''
 
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Pajic, M., Sundaram, S., Le Ny, J., Pappas, G. J., & Mangharam, R. (2012, April). Closing the loop: A simple distributed method for control over wireless networks. IPSN 2012. ACM. [http://repository.upenn.edu/cgi/viewcontent.cgi?article=1062&context=mlab_papers paper]
 
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'''Lab Meeting - Canceled'''
 
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=== --- March 23 ---===
 
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'''Seminar - Chao'''
 
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Industrial Internet of Things Software Architecture
 
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'''Lab Meeting - Haoran '''
 
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=== --- March 30 ---===
 
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'''Seminar - Xiaoling'''
 
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'''Lab Meeting - Dee'''
 
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=== --- April 6 ---===
 
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'''Seminar - Kenji'''
 
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'''Lab Meeting - Chong'''
 
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==Previous Semesters==
 
 
* [[Seminar Fall 2016|Fall 2016]]
 
* [[Seminar Fall 2016|Fall 2016]]
 
* [[Seminar Summer 2016|Summer 2016]]
 
* [[Seminar Summer 2016|Summer 2016]]
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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

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