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 12pm-1pm, 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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=== August 28, 2014 - Chong Li ===
 
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Canceled
 
  
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=== September 4, 2014 - N/A===
 
  
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Canceled
 
  
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=== September 11, 2014 - Jing Li ===
 
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Canceled
 
  
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=== September 18, 2014 - Bo Li ===
 
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Opportunistic Scheduling of Control Tasks Over Shared Wireless Channels , Department of Electrical and Systems Engineering, University of Pennsylvania, ICCPS'14 [http://www.seas.upenn.edu/~pajic/pubs/OportunisticWireless_ICCPS14.pdf Paper]
 
  
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=== September 25, 2014 - Dolvara Gunatilaka ===
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==Previous Semesters==
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Chaos: Versatile and Efficient All-to-All Data Sharing and In-Network Processing at Scale, Sensys'13 [http://www.cse.chalmers.se/~olafl/papers/2013-11-sensys-landsiedel-chaos.pdf Paper]
 
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=== October 2, 2014 - Chao Wang  ===
 
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Introduction to AUTOSAR and Its Task Model
 
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=== October 9, 2014 - Rahav Dor ===
 
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Naoya Namatame, Till Riedel, Takashi Miyaki, Yong Ding, Hideyuki Tokuda, and Michael Beigl, "A Distributed Resource Management Architecture for Interconnecting Web-of-Things using uBox" in WoT 2011. ACM. [http://dl.acm.org.libproxy.wustl.edu/citation.cfm?id=1993972 Paper]
 
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=== October16, 2014 - Chong Li ===
 
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Practice talk for DSS -- Prioritizing Network Traffic in Virtualized Hosts
 
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=== October 23, 2014 - Chengjie Wu ===
 
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Sanjoy Baruah and Zhishan Guo, "Mixed-criticality scheduling upon varying-speed processors", RTSS'13. [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6728862 Paper]
 
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=== October 30, 2014 - Jing Li ===
 
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Practice talk for DSS -- Federated Scheduling for Parallel Real-Time Tasks
 
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=== November 6, 2014 - Bo Li===
 
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In-Situ Soil Moisture Sensing: Measurement Scheduling and Estimation using Compressive Sensing, IPSN'12 [http://web.eecs.umich.edu/~mingyan/pub/ipsn12.pdf Paper]
 
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=== November 13, 2014 - Dolvara Gunatilaka ===
 
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Practice talk for DSS: Empirical Study and Enhancements of Industrial Wireless Sensor-Actuator Network Protocols
 
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=== November 20, 2014 - Chao Wang===
 
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Co-design of control and platform with dropped signals, ICCPS'12 [http://dl.acm.org/citation.cfm?id=2502542 Paper]
 
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=== November 27, 2014 - N/A ===
 
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Thanksgiving
 
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=== December 4, 2014 - Rahav Dor ===
 
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Younghyun Ju, Youngki Lee, Jihyun Yu, Chulhong Min, Insik Shin†, and Junehwa Song; "SymPhoney: A Coordinated Sensing Flow Execution Engine for Concurrent Mobile Sensing Applications" in SenSys 2012. ACM. [http://nclab.kaist.ac.kr/~youngki/papers/SymPhoney.pdf Paper]
 
  
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==Previous Semesters==
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* [[Seminar Fall 2019|Fall 2019]]
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* [[Seminar Summer 2019|Summer 2019]]
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* [[Seminar Spring 2019|Spring 2019]]
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* [[Seminar Fall 2018|Fall 2018]]
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* [[Seminar Summer 2018|Summer 2018]]
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* [[Seminar Spring 2018|Spring 2018]]
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* [[Seminar Fall 2017|Fall 2017]]
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* [[Seminar Summer 2017|Summer 2017]]
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* [[Seminar Spring 2017|Spring 2017]]
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* [[Seminar Fall 2016|Fall 2016]]
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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]]
 
* [[Seminar Fall 2014|Fall 2014]]
 
* [[Seminar Fall 2014|Fall 2014]]
 
* [[Seminar Summer 2014|Summer 2014]]
 
* [[Seminar Summer 2014|Summer 2014]]
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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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