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-11:00am, 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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=== Jan 16, 2014 - Bo Li ===
 
  
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Survey on Implantable Wireless Technologies.[Slides]
 
  
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=== Jan 23, 2014 - N/A  ===
 
  
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Canceled due to Green Building meeting.
 
  
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=== Jan 30, 2014 - Dolvara Gunatilaka ===
 
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The GINSENG System for Wireless Monitoring and Control: Design and Deployment Experiences [http://www.ibr.cs.tu-bs.de/papers/ginseng_journal.pdf Paper]
 
  
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=== Feb 6, 2014 - Chong Li ===
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==Previous Semesters==
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Multi-Resource Fair Queueing for Packet Processing, University of California, Berkeley, SIGCOMM'12 [http://conferences.sigcomm.org/sigcomm/2012/paper/sigcomm/p1.pdf Paper]
 
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=== Feb 13, 2014 - Jing Li ===
 
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FJOS: Practical, Predictable, and Efficient System Support for Fork/Join Parallelism, RTAS'14. [http://www.seas.gwu.edu/~gparmer/publications/rtas14_fjos.pdf Paper]
 
  
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=== Feb 20, 2014 - Sisu Xi  ===
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* [[Seminar Fall 2019|Fall 2019]]
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Region Scheduling: Efficiently Using the Cache Architectures via Page-level Affinity, ASPLOS'12. [http://www.istc-cc.cmu.edu/publications/papers/2012/p451-lee.pdf Paper]
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* [[Seminar Summer 2019|Summer 2019]]
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* [[Seminar Spring 2019|Spring 2019]]
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=== Feb 27, 2014 - Chong Li ===
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* [[Seminar Fall 2018|Fall 2018]]
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Supporting Excess Real-Time Traffic With Active Drop Queue, University of Pennsylvania, Proc. IEEE/ACM Transactions on Networking [http://repository.upenn.edu/ese_papers/196/ Paper]
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* [[Seminar Summer 2018|Summer 2018]]
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* [[Seminar Spring 2018|Spring 2018]]
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=== Mar 6, 2014 - Chengjie Wu ===
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* [[Seminar Fall 2017|Fall 2017]]
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* [[Seminar Summer 2017|Summer 2017]]
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Alan Burns and Rob Davis, Mixed Criticality on Controller Area Network, ECRTS 2013.
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* [[Seminar Spring 2017|Spring 2017]]
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[http://www-users.cs.york.ac.uk/~robdavis/papers/MC_CAN.pdf Paper]
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* [[Seminar Fall 2016|Fall 2016]]
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* [[Seminar Summer 2016|Summer 2016]]
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=== Mar 13, 2014 - N/A  ===
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* [[Seminar Spring 2016|Spring 2016]]
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* [[Seminar Fall 2015|Fall 2015]]
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Canceled due to Spring Break.
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* [[Seminar Summer 2015|Summer 2015]]
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* [[Seminar Spring 2015|Spring 2015]]
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=== Mar 20, 2014 - N/A  ===
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* [[Seminar Fall 2014|Fall 2014]]
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* [[Seminar Summer 2014|Summer 2014]]
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Canceled.
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* [[Seminar Spring 2014|Spring 2014]]
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A survey on home automation or IoT.
 
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=== Mar 27, 2014 - Lucy Chikwetu ===
 
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Sentinel: Occupancy Based HVAC Actuation using existing WiFi Infrastructure in Commercial Buildings, Bharathan Balaji, Jian Xu, Anthony Nwokafor, Rajesh Gupta, Yuvraj Agarwal, SenSys'13. [http://synergy.ucsd.edu/files/Balaji_SenSys2013_Sentinel.pdf  Paper]
 
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=== Apr 3, 2014 - Abusayeed Saifullah ===
 
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=== Apr 10, 2014 - Mo Sha ===
 
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=== Apr 17, 2014 - Dolvara Gunatilaka ===
 
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=== Apr 24, 2014 -  ===
 
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==Previous Semesters==
 
 
* [[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

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