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 3pm-4:00pm, 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.wirelesshealth2012.org/])
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* Wireless Health ([http://mobihealth.name/])
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* BSN ([http://www.bsn2012.org/])
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* MobiCom ([https://sigmobile.org/mobicom/2019/])
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* MobiCom ([http://www.sigmobile.org/mobicom/2012/])
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* MobiSys ([http://www.sigmobile.org/mobisys/2019/])
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* MobiSys ([http://www.sigmobile.org/mobisys/2012/])
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* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2019/])
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* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2012/])
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* NSDI ([https://www.usenix.org/conference/nsdi19])
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* NSDI ([https://www.usenix.org/conference/nsdi12/])
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* SOSP ([https://www.sigops.org/])
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* SOSP ([http://sosp2011.gsd.inesc-id.pt/])
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* OSDI ([https://www.usenix.org/conference/osdi18/])
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* OSDI ([https://www.usenix.org/conference/osdi12/])
 
  
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=== Jan 17, 2013 - Abusayeed Saifullah ===
 
  
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Presentation on intern work at MSR.
 
  
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=== Jan 24, 2013 - Sisu Xi ===
 
  
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Farhana Dewan and Nathan Fisher, "Efficient Admission Control for Enforcing Arbitrary Real-Time Demand-Curve Interfaces", RTSS 2012 (Best Student Paper)
 
  
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Links: [http://www.cs.wayne.edu/~fishern/papers/RTSS-2012-TR.pdf Paper]
 
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Links: [http://www.cs.wayne.edu/farhana/presentations/DF_RTSS12.pptx Slides]
 
  
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=== Jan 31, 2013 - Bo Li ===
 
  
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Ferrari, Federico, Marco Zimmerling, Luca Mottola, and Lothar Thiele. "Low-power wireless bus."
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==Previous Semesters==
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In 10th ACM Conf. on Embedded Networked Sensor Systems (SenSys’ 12). 2012.
 
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Links: [http://dl.acm.org/citation.cfm?id=2426658 Paper]
 
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=== Feb 7, 2012 - Yong Fu ===
 
  
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Tamim Sookoor, Brian Holben, and Kamin Whitehouse, "Feasibility of Retrofitting Centralized HVAC Systems for Room-Level Zoning", IGCC 2012.
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* [[Seminar Fall 2019|Fall 2019]]
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* [[Seminar Summer 2019|Summer 2019]]
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Links: [http://www.cs.virginia.edu/~whitehouse/research/buildingEnergy/sookoor12feasibility.pdf Paper]
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* [[Seminar Spring 2019|Spring 2019]]
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* [[Seminar Fall 2018|Fall 2018]]
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=== Feb 14, 2013 - Chengjie Wu ===
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* [[Seminar Summer 2018|Summer 2018]]
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* [[Seminar Spring 2018|Spring 2018]]
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Practice talk on "End-to-End Delay Analysis for Wireless Control Networks under EDF Scheduling".
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* [[Seminar Fall 2017|Fall 2017]]
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* [[Seminar Summer 2017|Summer 2017]]
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=== Feb 21, 2013 - Paras Tiwari  ===
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* [[Seminar Spring 2017|Spring 2017]]
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* [[Seminar Fall 2016|Fall 2016]]
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Carlo Fischione, and Ulf Jönsson, "Fast–Lipschitz Optimization with Wireless Sensor Networks Applications", IPSN 2011.
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* [[Seminar Summer 2016|Summer 2016]]
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* [[Seminar Spring 2016|Spring 2016]]
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Links: [http://aphrodite.s3.kth.se/~carlofi/Publications/IPSN11.pdf Paper]
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* [[Seminar Fall 2015|Fall 2015]]
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* [[Seminar Summer 2015|Summer 2015]]
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=== Feb 28, 2013 - Rahav Dor ===
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* [[Seminar Spring 2015|Spring 2015]]
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MusicalHeart: A Hearty Way of Listening to Music
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* [[Seminar Fall 2014|Fall 2014]]
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* [[Seminar Summer 2014|Summer 2014]]
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Shahriar Nirjon, Robert F. Dickerson, Qiang Li, Philip Asare, and John A. Stankovic Department of Computer Science University of Virginia, USA
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* [[Seminar Spring 2014|Spring 2014]]
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* [[Seminar Fall 2013|Fall 2013]]
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Dezhi Hong, Ben Zhang, Xiaofan Jiang, Guobin Shen, and Feng Zhao Microsoft Research Asia, Beijing, China
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* [[Seminar Summer 2013|Summer 2013]]
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* [[Seminar Spring 2013|Spring 2013]]
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=== Mar 7, 2013 - Chong Li ===
 
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Practice talk for master's project defense.
 
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=== Mar 14, 2013 - Jing Li ===
 
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=== Mar 21, 2013 - Jing Xia ===
 
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=== Mar 28, 2013 - Mo Sha ===
 
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==Previous Semesters==
 
 
* [[Seminar Fall 2012|Fall 2012]]
 
* [[Seminar Fall 2012|Fall 2012]]
 
* [[Seminar Summer 2012|Summer 2012]]
 
* [[Seminar Summer 2012|Summer 2012]]
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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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