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: 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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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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=== ---September 1 2016 ---===
 
  
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'''Seminar - Chao'''
 
  
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Kurtin, Philip S., Joost PHM Hausmans, and Marco JG Bekooij. "Combining offsets with precedence constraints to improve temporal analysis of cyclic real-time streaming applications." 2016 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 2016.  [http://ieeexplore.ieee.org/document/7461325/?arnumber=7461325&tag=1 Link]
 
  
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'''Lab Meeting - Cancelled'''
 
  
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=== ---September 8  2016 ---===
 
  
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'''Seminar - Yehan'''
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==Previous Semesters==
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Demirel, Burak, et al. "Modular design of jointly optimal controllers and forwarding policies for wireless control." IEEE Transactions on Automatic Control 59.12 (2014): 3252-3265.
 
  
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'''Lab Meeting - Dee'''
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* [[Seminar Fall 2019|Fall 2019]]
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* [[Seminar Summer 2019|Summer 2019]]
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=== ---September 15  2016 ---===
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* [[Seminar Spring 2019|Spring 2019]]
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* [[Seminar Fall 2018|Fall 2018]]
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'''Seminar - Chong'''
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* [[Seminar Summer 2018|Summer 2018]]
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* [[Seminar Spring 2018|Spring 2018]]
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Cloud Control with Distributed Rate Limiting, UCSD, SIGCOMM'07 [http://www.sigcomm.org/ccr/papers/2007/October/1282427.1282419 link]
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* [[Seminar Fall 2017|Fall 2017]]
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* [[Seminar Summer 2017|Summer 2017]]
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'''Lab Meeting - Haoran'''
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* [[Seminar Spring 2017|Spring 2017]]
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* [[Seminar Fall 2016|Fall 2016]]
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=== ---September 22 2016 ---===
 
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'''Seminar - Dee'''
 
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Decentralized Traffic Aware Scheduling in 6TiSCH Networks: Design and Experimental Evaluation, IEEE IoT, Dec 2015
 
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'''Lab Meeting - Canceled'''
 
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=== ---September 29  2016 ---===
 
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'''Seminar - Jing'''
 
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Proposal practice.
 
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'''Lab Meeting - Xin'''
 
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=== ---October 6  2016 ---===
 
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'''Seminar - Canceled'''
 
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'''Lab Meeting - Yehan'''
 
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=== ---October 13  2016 ---===
 
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Canceled
 
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=== ---October 20  2016 ---===
 
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'''Seminar - Lav'''
 
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Functions Virtualization with Soft Real-Time Guarantees, INFOCOM, 2016 [https://www.cis.upenn.edu/~yangli2/pdfs/nfv.pdf paper]
 
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'''Lab Meeting - Yehan'''
 
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=== ---October 27  2016 ---===
 
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'''Seminar - Haoran'''
 
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Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing, (OSDI'14)
 
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Eric Boutin, Jaliya Ekanayake, Wei Lin, Bing Shi, and Jingren Zhou, Microsoft; Zhengping Qian, Ming Wu, and Lidong Zhou, Microsoft  Research [https://www.usenix.org/system/files/conference/osdi14/osdi14-paper-boutin_0.pdf paper]
 
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'''Lab Meeting - Chao'''
 
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=== ---November 3  2016 ---===
 
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'''Seminar - Xin'''
 
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'''Lab Meeting - Haoran'''
 
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=== ---November 10  2016 ---===
 
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'''Seminar - Chao'''
 
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Jacob, Romain, et al. "End-to-end Real-time Guarantees in Wireless Cyber-physical Systems." RTSS'16 [http://www.tik.ee.ethz.ch/file/165d347f717a587d8fa44e723e1defa7/paper.pdf paper]
 
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'''Lab Meeting - Chong'''
 
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=== ---November 17  2016 ---===
 
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'''Seminar - Dee'''
 
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'''Lab Meeting - Jing'''
 
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==Previous Semesters==
 
 
* [[Seminar Summer 2016|Summer 2016]]
 
* [[Seminar Summer 2016|Summer 2016]]
 
* [[Seminar Spring 2016|Spring 2016]]
 
* [[Seminar Spring 2016|Spring 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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