Difference between revisions of "CSE730x Research Seminar"

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* '''Instructors:''' [http://www.cse.wustl.edu/~lu Chenyang Lu] and [http://www.cse.wustl.edu/~roman Gruia-Catalin Roman]
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* '''Instructor:''' [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu]
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* '''Time: Friday at 2-3pm, Location: Jolley 542'''
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* '''Time: Thursday at 4pm-4:50pm, Location: Jolley 431'''
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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 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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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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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:
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* SenSys ([http://sensys.acm.org])
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* IPSN ([http://ipsn.acm.org])
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* RTSS ([http://www.rtss.org/])
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* RTAS ([http://www.rtas.org/])
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* ICCPS ([http://www.iccps.org])
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* Wireless Health ([http://mobihealth.name/])
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* MobiCom ([https://sigmobile.org/mobicom/2019/])
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* MobiSys ([http://www.sigmobile.org/mobisys/2019/])
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* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2019/])
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* NSDI ([https://www.usenix.org/conference/nsdi19])
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* SOSP ([https://www.sigops.org/])
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* OSDI ([https://www.usenix.org/conference/osdi18/])
  
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* [http://sensys.acm.org/ SenSys]
 
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* IPSN ([http://portal.acm.org/citation.cfm?id=984626&coll=portal&dl=ACM&CFID=26359144&CFTOKEN=96957034 ACM Archive])
 
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* MobiCom ([http://portal.acm.org/toc.cfm?id=SERIES395&type=series&coll=ACM&dl=ACM&CFID=26358907&CFTOKEN=49744667 ACM archive])
 
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* MobiSys ([http://www.sigmobile.org/mobisys/2006/ 2006], [http://portal.acm.org/toc.cfm?id=SERIES11190&type=series&coll=ACM&dl=ACM&CFID=26358907&CFTOKEN=49744667 ACM archive])
 
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* NSDI ([http://www.usenix.org/events/nsdi07/ USENIX Website])
 
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* [http://sosp.org/ SOSP]
 
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* OSDI ([http://www.informatik.uni-trier.de/%7Eley/db/conf/osdi/ Archive website])
 
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* RTSS ([http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000619 IEEE Archive])
 
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* RTAS (IEEE Archive: [http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000616 part1] [http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000621 part2])
 
  
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When choosing a paper to present, you may look through the conferences mentioned above, or view the [[List of Potential Papers|list of potential papers]].
 
  
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=== September 12, 2008 - Sangeeta Bhattacharya ===
 
  
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=== September 19, 2008 - Greg Hackmann ===
 
  
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<pre>
 
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A Measurement Study of Vehicular Internet Access Using In Situ Wi-Fi Networks.
 
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Vladimir Bychkovsky, Bret Hull, Allen K. Miu, Hari Balakrishnan, Samuel Madden.
 
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MobiCom 2006.
 
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</pre>
 
  
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Links: [http://nms.lcs.mit.edu/papers/meas-mobicom06.pdf Paper] [http://nms.lcs.mit.edu/papers/meas-mobicom06.ppt Slides]
 
  
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=== September 26, 2008 - Yong Fu ===
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==Previous Semesters==
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<pre>
 
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Gong Chen, Wenbo He, Jie Liu, Suman Nath, Leonidas Rigas, Lin Xiao, and Feng Zhao,
 
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"Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services"
 
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NSDI 2008, San Francisco, CA, April 2008.
 
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</pre>
 
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Links: [http://research.microsoft.com/~liuj/publications/provisioning-nsdi08.pdf Paper] [http://research.microsoft.com/~liuj/publications/provisioning-nsdi08.pptx Slides]
 
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=== October 3, 2008 - Vincent Guo ===
 
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'''A Measurement Study of Interference Modeling and Scheduling in Low Power Wireless Networks'''. Ritesh Maheshwari (Stony Brook University, US); Shweta Jain (Staccato Communications, US); Samir Das (Stony Brook University, US). SenSys'08.
 
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'''Abstract:'''
 
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<blockquote>
 
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Accurate interference models are important for use in transmission scheduling algorithms in wireless networks. In
 
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this work, we perform extensive modeling and experimentation on two 20-node TelosB motes testbeds { one indoor and
 
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the otheroutdoor { to compare a suite of interference models for their modeling accuracies. We ¯rst empirically
 
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build and validate the physical interference model via a packet reception rate vs. SINR relationship using a
 
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measurement driven method. We then similarly instantiate other simpler models,such as hop-based, range-based, prot-
 
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ocol model,etc. The modeling accuracies are then evaluated on the two testbeds using transmission scheduling exper-
 
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iments. We observe that while the physicalinterference model is the most accurate, it is still far from perfect,
 
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providing a 90-percentile error about 20-25% (and 80 percentile error 7-12%),depending on the scenario. The accura-
 
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cy of the other models is worse and scenario-speci¯c. The second best model trails the physical model by roughly
 
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12-18 percentile points for similar accuracy targets. Somewhat similar throughput performance di®erential between
 
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models is also observed when used with greedy scheduling algorithms. Carrying on further, we look closely into the
 
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the two incarnations of the physical model {`thresholded'(conservative, but typically considered in literature)
 
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and `graded' (more realistic). We show via solving the one shot scheduling problem, that the graded version can
 
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improve `expected throughput' over the thresholded version by scheduling imperfect links.
 
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</blockquote>
 
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'''Links''':[http://www.wings.cs.sunysb.edu/~ritesh/Papers/Ritesh-Sensys08-Interference.pdf paper] [http://www.cse.wustl.edu/wsn/images/3/3f/A_measurement_study_of_interference_modeling_and_scheduling_in_LPWN_2.odp slide(open document format)]
 
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=== October 10, 2008 - Chengjie Wu ===
 
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<pre>
 
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IP is Dead, Long Live IP for Wireless Sensor Networks,
 
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Jonathan W. Hui and David E. Culler. To appear in Proceedings of SenSys '08.
 
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</pre>
 
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Links: [http://www.cs.berkeley.edu/~jwhui/pubs/jhui-sensys08-ipv6.pdf Paper]
 
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=== October 17, 2008 - Chien-Liang Fok ===
 
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''Fall Break''
 
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=== October 24, 2008 - Justin Luner ===
 
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=== October 31, 2008 - Octav Chipara ===
 
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=== November 7, 2008 - Sangeeta Bhattacharya ===
 
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=== November 14, 2008 - Greg Hackmann ===
 
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=== November 21, 2008 - Yong Fu===
 
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=== November 28, 2008 - N/A ===
 
  
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''Thanksgiving''
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* [[Seminar Fall 2019|Fall 2019]]
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* [[Seminar Summer 2019|Summer 2019]]
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=== December 5, 2008 - Vincent Guo ===
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* [[Seminar Spring 2019|Spring 2019]]
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* [[Seminar Fall 2018|Fall 2018]]
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=== December 12, 2008 - Chengjie Wu ===
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* [[Seminar Summer 2018|Summer 2018]]
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* [[Seminar Spring 2018|Spring 2018]]
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=== December 19, 2008 - N/A ===
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* [[Seminar Fall 2017|Fall 2017]]
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* [[Seminar Summer 2017|Summer 2017]]
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''Winter Break''
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* [[Seminar Spring 2017|Spring 2017]]
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* [[Seminar Fall 2016|Fall 2016]]
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==Previous Semesters==
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* [[Seminar Summer 2016|Summer 2016]]
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* [[Seminar Spring 2016|Spring 2016]]
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* [[Seminar Fall 2015|Fall 2015]]
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* [[Seminar Summer 2015|Summer 2015]]
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* [[Seminar Spring 2015|Spring 2015]]
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* [[Seminar Fall 2014|Fall 2014]]
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* [[Seminar Summer 2014|Summer 2014]]
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* [[Seminar Spring 2014|Spring 2014]]
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* [[Seminar Fall 2013|Fall 2013]]
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* [[Seminar Summer 2013|Summer 2013]]
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* [[Seminar Spring 2013|Spring 2013]]
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* [[Seminar Fall 2012|Fall 2012]]
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* [[Seminar Summer 2012|Summer 2012]]
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* [[Seminar Spring 2012|Spring 2012]]
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* [[Seminar Fall 2011|Fall 2011]]
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* [[Seminar Summer 2011|Summer 2011]]
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* [[Seminar Spring 2011|Spring 2011]]
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* [[Seminar Fall 2010|Fall 2010]]
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* [[Seminar Spring 2010|Spring 2010]]
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* [[Seminar Fall 2009|Fall 2009]]
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* [[Seminar Summer 2009|Summer 2009]]
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* [[Seminar Spring 2009|Spring 2009]]
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* [[Seminar Fall 2008|Fall 2008]]
 
* [[Seminar Summer 2008|Summer 2008]]
 
* [[Seminar Summer 2008|Summer 2008]]
 
* [[Seminar Spring 2008|Spring 2008]]
 
* [[Seminar Spring 2008|Spring 2008]]
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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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