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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=== January 16, 2009 - Eric You ===
 
  
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<pre>Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient
 
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Algorithms and Empirical Studies; Andreas Krause, Ajit Singh and Carlos Guestrin;
 
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In the Journal of Machine Learning Research (JMLR), Volume 9, pp. 235--284,
 
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2008.</pre>
 
  
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Links: [http://www.cs.cmu.edu/~guestrin/Publications/JMLR08SensorPlace/jmlr08-sensor-place.pdf Paper], [http://userfs.cec.wustl.edu/~cse730/slides/submodular.pdf Slides]
 
  
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=== January 23, 2009 - Weijun (Vincent) Guo===
 
  
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<pre>
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==Previous Semesters==
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Cao, Q., Abdelzaher, T., Stankovic, J., Whitehouse, K., and Luo, L. 2008.
 
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Declarative tracepoints: a programmable and application independent
 
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debugging system for wireless sensor networks. In Proceedings of the 6th
 
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ACM Conference on Embedded Network Sensor Systems (Raleigh, NC, USA,
 
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November 05 - 07, 2008). SenSys '08. ACM, New York, NY, 85-98.
 
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</pre>
 
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Links: [http://www.cs.uiuc.edu/homes/qcao2/sensys_2008.pdf Paper], [http://doi.acm.org/10.1145/1460412.1460422 DOI],[[http://www.cse.wustl.edu/wsn/images/1/15/Declarative_Tracepoints_for_WSN.pptx slides]]
 
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=== January 30, 2009 - Chengjie Wu ===
 
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<pre>
 
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Jianping Song  Song Han  Mok, A.K.  Deji Chen  Lucas, M.  Nixon, M.,
 
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WirelessHART: Applying Wireless Technology in Real-Time Industrial Process Control
 
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RTAS'08
 
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</pre>
 
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Links: [http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4550808 Paper]
 
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=== February 6, 2009 - Abdel-Karim R. Al Tamimi ===
 
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<pre>
 
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Baik Hoh et al.
 
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Virtual Trip Lines for Distributed Privacy-Preserving Traffic Monitoring.
 
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To appear at ACM MobiSys 2008.
 
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</pre>
 
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Links: [http://traffic.berkeley.edu/conference%20publications/virtual_trip_lines.pdf Paper]
 
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=== February 13, 2009 - Yong Fu ===
 
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<pre>
 
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"DVSleak: Combining Leakage Reduction and Voltage Scaling in
 
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Feedback EDF Scheduling " by Y. Zhu and F. Mueller in ACM SIGPLAN
 
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Conference on Languages, Compilers, and Tools for Embedded Systems
 
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(LCTES'07), Jun 2007
 
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</pre>
 
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Links: [http://moss.csc.ncsu.edu/~mueller/ftp/pub/mueller/papers/lctes07.pdf Paper]
 
  
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=== February 20, 2009 - Abu Sayeed Saifullah ===
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* [[Seminar Fall 2019|Fall 2019]]
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* [[Seminar Summer 2019|Summer 2019]]
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<pre>
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* [[Seminar Spring 2019|Spring 2019]]
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Bian, F., Kempe, D., and Govindan, R. 2006. Utility based sensor selection.
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* [[Seminar Fall 2018|Fall 2018]]
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In Proceedings of the 5th international Conference on information Processing
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* [[Seminar Summer 2018|Summer 2018]]
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in Sensor Networks (Nashville, Tennessee, USA, April 19 - 21, 2006).
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* [[Seminar Spring 2018|Spring 2018]]
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IPSN '06. ACM, New York, NY, 11-18.
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* [[Seminar Fall 2017|Fall 2017]]
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DOI= http://doi.acm.org/10.1145/1127777.1127783
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* [[Seminar Summer 2017|Summer 2017]]
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</pre>
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* [[Seminar Spring 2017|Spring 2017]]
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* [[Seminar Fall 2016|Fall 2016]]
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Links: [http://portal.acm.org/citation.cfm?id=1127783# Paper]
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* [[Seminar Summer 2016|Summer 2016]]
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* [[Seminar Spring 2016|Spring 2016]]
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=== February 27, 2009 - Chien-Liang Fok ===
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* [[Seminar Fall 2015|Fall 2015]]
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* [[Seminar Summer 2015|Summer 2015]]
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=== March 6, 2009 - Octav Chipara ===
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* [[Seminar Spring 2015|Spring 2015]]
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* [[Seminar Fall 2014|Fall 2014]]
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=== March 13, 2009 - N/A ===
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* [[Seminar Summer 2014|Summer 2014]]
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* [[Seminar Spring 2014|Spring 2014]]
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''Spring Break''
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* [[Seminar Fall 2013|Fall 2013]]
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* [[Seminar Summer 2013|Summer 2013]]
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=== March 20, 2009 - Greg Hackmann ===
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* [[Seminar Spring 2013|Spring 2013]]
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* [[Seminar Fall 2012|Fall 2012]]
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=== March 27, 2009 - Weijun (Vincent) Guo ===
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* [[Seminar Summer 2012|Summer 2012]]
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* [[Seminar Spring 2012|Spring 2012]]
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=== April 03, 2009 - Chengjie Wu ===
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* [[Seminar Fall 2011|Fall 2011]]
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* [[Seminar Summer 2011|Summer 2011]]
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=== April 10, 2009 - Abdel-Karim R. Al Tamimi ===
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* [[Seminar Spring 2011|Spring 2011]]
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* [[Seminar Fall 2010|Fall 2010]]
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=== April 17, 2009 - Yong Fu ===
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* [[Seminar Spring 2010|Spring 2010]]
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* [[Seminar Fall 2009|Fall 2009]]
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=== April 24, 2009 - Abu Sayeed Saifullah ===
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* [[Seminar Summer 2009|Summer 2009]]
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* [[Seminar Spring 2009|Spring 2009]]
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=== May 1, 2009 - N/A ===
 
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''Final Exams''
 
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==Previous Semesters==
 
 
* [[Seminar Fall 2008|Fall 2008]]
 
* [[Seminar Fall 2008|Fall 2008]]
 
* [[Seminar Summer 2008|Summer 2008]]
 
* [[Seminar Summer 2008|Summer 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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