Difference between revisions of "CSE730x Research Seminar"

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* '''Instructors:''' [http://www.cse.wustl.edu/~lu Chenyang Lu]
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* '''Instructor:''' [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu]
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* '''Time: Tuesday at 1pm-2:30pm, 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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* SenSys ([http://sensys.acm.org])
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* IPSN ([http://ipsn.acm.org])
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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/2011/])
 
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* IPSN ([http://ipsn.acm.org/2011/])
 
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* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2011/])
 
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* MobiCom ([http://www.sigmobile.org/mobicom/2011/])
 
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* MobiSys ([http://www.sigmobile.org/mobisys/2011/])
 
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* NSDI ([http://www.usenix.org/events/nsdi11/])
 
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* SOSP ([http://sosp2011.gsd.inesc-id.pt/])
 
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* OSDI ([http://www.usenix.org/events/osdi10/index.html])
 
 
* RTSS ([http://www.rtss.org/])
 
* RTSS ([http://www.rtss.org/])
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* RTAS ([http://www.rtas.org/rtas2011/index.htm])
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* RTAS ([http://www.rtas.org/])
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* Wireless Health ([http://www.wirelesshealth2011.org/])
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* ICCPS ([http://www.iccps.org])
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* BodyNets ([http://bodynets.org])
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* Wireless Health ([http://mobihealth.name/])
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* BSN ([http://www.bsn2011.org])
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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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=== Sep 6, 2011 - Sisu Xi ===
 
  
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Jan Vitek, Tomas Kalibera, "Repeatability, Reproducibility and Rigor
 
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in Systems Research", EMSOFT 2011.
 
  
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=== Sep 13, 2011 - Abusayeed Saifullah ===
 
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Kannan Srinivasan, Mayank Jain, Jung Il Choi, Tahir Azim, Edward S. Kim, Philip Levis, Bhaskar Krishnamachari, The kappa factor: inferring protocol performance using inter-link reception correlation, MobiCom '10.
 
  
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Links: [http://sing.stanford.edu/pubs/mobicom10-kappa.pdf Paper]
 
  
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=== Sep 20, 2011 - Bo Li ===
 
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Matteo Ceriotti, Michele Corrà, Leandro D'Orazio, Roberto Doriguzzi, Daniele Facchin, Stefan Guna, Gian Paolo Jesi, Renato Lo Cigno, Amy L. Murphy, Massimo Pescalli, Gian Pietro Picco, Denis Pregnolato, and Carloalberto Torghele. Is There Light at the Ends of the Tunnel? Wireless Sensor Networks for Adaptive Lighting in Road Tunnels. In IPSN/SPOTS, Chicago (IL, USA), April 2011.Paper: [http://www.sics.se/~luca/papers/ceriotti11light.pdf], Slides: [http://cordis.europa.eu/fp7/ict/necs/docs/events/20101111-12/20101111-15-alm-tower-tunnel_en.pdf]
 
  
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=== Sep 27, 2011 - Greg Hackmann ===
 
  
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JeongGil Ko, Joakim Eriksson, Nicolas Tsiftes, Stephen Dawson-Haggerty,
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==Previous Semesters==
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Jean-Philippe Vasseur, Mathilde Durvy, Andreas Terzis, Adam Dunkels, and
 
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David Culler.  "Beyond Interoperability – Pushing the Performance of
 
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Sensor Network IP Stacks".  SenSys, 2011.
 
  
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Links: [http://www.sics.se/~adam/ko11beyond.pdf Paper]
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* [[Seminar Fall 2019|Fall 2019]]
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* [[Seminar Summer 2019|Summer 2019]]
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=== Oct 4, 2011  - Mo Sha ===
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* [[Seminar Spring 2019|Spring 2019]]
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* [[Seminar Fall 2018|Fall 2018]]
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T. Hnat, T. Sookoor, J. Lu, V. Srinivasan, J. Stankovic, and K. Whitehouse, The Hitchhiker's Guide to Successful Residential Sensing Deployments, 9th ACM Conference on Embedded Networked Sensor Systems (SenSys'11), November 2011.
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* [[Seminar Summer 2018|Summer 2018]]
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* [[Seminar Spring 2018|Spring 2018]]
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Links: [http://www.cs.virginia.edu/~stankovic/psfiles/hnat11hitchhikers.pdf Paper]
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* [[Seminar Fall 2017|Fall 2017]]
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* [[Seminar Summer 2017|Summer 2017]]
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=== Oct 11, 2010 - Fei Yu ===
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* [[Seminar Spring 2017|Spring 2017]]
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* [[Seminar Fall 2016|Fall 2016]]
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Q. Li, and J. Stankovic, Grammar-Based, Posture- and Context-Cognitive Detection for Falls with Different Activity Levels, Wireless Health 2011, October 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://www.cs.virginia.edu/~stankovic/psfiles/qiangfall.pdf Paper]
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* [[Seminar Fall 2015|Fall 2015]]
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* [[Seminar Summer 2015|Summer 2015]]
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=== Oct 18, 2011 - Zhicheng Yang ===
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* [[Seminar Spring 2015|Spring 2015]]
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* [[Seminar Fall 2014|Fall 2014]]
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Robert F. Dickerson, Eugenia I. Gorlin, and John A. Stankovic, Empath: a Continuous Remote Emotional Health Monitoring System for Depressive Illness, Wireless Health 2011, October 2011.
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* [[Seminar Summer 2014|Summer 2014]]
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* [[Seminar Spring 2014|Spring 2014]]
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Links: [http://www.vs.inf.ethz.ch/edu/HS2011/CPS/papers/dickerson11_empath.pdf Paper]
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* [[Seminar Fall 2013|Fall 2013]]
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* [[Seminar Summer 2013|Summer 2013]]
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=== Oct 25, 2011 - Chengjie Wu ===
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* [[Seminar Spring 2013|Spring 2013]]
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* [[Seminar Fall 2012|Fall 2012]]
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Sirajum Munir, Shan Lin, Enamul Hoque, S.M. Shahriar Nirjon, John Stankovic and Kamin Whitehouse, “Addressing Burstiness for Reliable Communication and Latency Bound Generation in Wireless Sensor Networks”, IPSN 2010.
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* [[Seminar Summer 2012|Summer 2012]]
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* [[Seminar Spring 2012|Spring 2012]]
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Links: [http://www.cs.virginia.edu/~sm7hr/docs/Burstiness_IPSN10.pdf Paper]
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* [[Seminar Fall 2011|Fall 2011]]
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=== Nov 1, 2011 - Yong Fu ===
 
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Yin Chen and Andreas Terzis, On the Implications of the Log-normal Path Loss Model: An Efficient Method to Deploy and Move Sensor Motes, SenSys, 2011.
 
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Links: [http://cs.jhu.edu/~yinchen/doc/relay_sensys11.pdf Paper]
 
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=== Nov 8, 2011 - N/A ===
 
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Canceled due to Bodynets.
 
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=== Nov 15, 2011 - Rahav Dor ===
 
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James Y. Xu, Yuwen Sun, Zhao Wang, William J. Kaiser, Greg J. Pottie, Context Guided and Personalized Activity Classification System, Wireless health 2011
 
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[[File:Context_Guided_and_Personalized_Activity_Classification_System.pdf]]
 
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=== Nov 22, 2011 - N/A ===
 
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Canceled due to Thanksgiving Break.
 
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=== Nov 29, 2011 - Sisu Xi ===
 
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Bastoni, A., Brandenburg, B. B., & Anderson, J. H. (2011), Is semi-partitioned scheduling practical?, the 23nd Euromicro
 
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Conf. on Real-Time System (ECRTS 2011).
 
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Links: [http://www.cs.unc.edu/~bbb/papers/ecrts11.pdf Paper]
 
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=== Dec 6, 2011 - Zhicheng Yang ===
 
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==Previous Semesters==
 
 
* [[Seminar Summer 2011|Summer 2011]]
 
* [[Seminar Summer 2011|Summer 2011]]
 
* [[Seminar Spring 2011|Spring 2011]]
 
* [[Seminar Spring 2011|Spring 2011]]
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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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