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 10am-12pm, 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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=== ---May 21, 2015 ---===
 
  
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'''Seminar - Rahav Dor'''
 
  
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'''Lab Meeting - Jing Li '''
 
  
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=== ---May 28, 2015 ---===
 
  
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'''Seminar - Chao Wang'''
 
  
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Cugola, Gianpaolo, and Alessandro Margara,
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==Previous Semesters==
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[http://home.deib.polimi.it/cugola/Papers/trex.pdf Complex event processing with t-rex.]
 
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Journal of Systems and Software 85.8 (2012): 1709-1728.
 
  
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'''Lab Meeting - Bo Li'''
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* [[Seminar Fall 2019|Fall 2019]]
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* [[Seminar Summer 2019|Summer 2019]]
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Fei Miao, Shan Lin, Sirajum Munir, John A. Stankovic, Hua Huang, Desheng Zhang, Tian He and George J. Pappas
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* [[Seminar Spring 2019|Spring 2019]]
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[http://www.cs.virginia.edu/~stankovic/psfiles/taxi.pdf Taxi Dispatch with Real-Time Sensing Data in Metropolitan Areas - a Receding Horizon Control Approach], ACM/IEEE 6th International Conference on Cyber-Physical Systems (ICCPS'15) , Seattle USA, April 2015.
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* [[Seminar Fall 2018|Fall 2018]]
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* [[Seminar Summer 2018|Summer 2018]]
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=== ---June 4, 2015 ---===
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* [[Seminar Spring 2018|Spring 2018]]
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* [[Seminar Fall 2017|Fall 2017]]
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'''Seminar - Chong Li '''
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* [[Seminar Summer 2017|Summer 2017]]
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* [[Seminar Spring 2017|Spring 2017]]
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SoftCell: Scalable and Flexible Celluar Core Network Architecture, X. Jin, L. E. Li, L. Vanbever, J. Rexford, CoNext'13 [http://www.cs.princeton.edu/~xinjin/files/CoNEXT13_SoftCell.pdf Paper]
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* [[Seminar Fall 2016|Fall 2016]]
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* [[Seminar Summer 2016|Summer 2016]]
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'''Lab Meeting - Rahav Dor'''
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* [[Seminar Spring 2016|Spring 2016]]
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* [[Seminar Fall 2015|Fall 2015]]
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=== ---June 11, 2015 ---===
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* [[Seminar Summer 2015|Summer 2015]]
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'''Seminar - Jing Li '''
 
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The Cilkprof Scalability Profiler, Tao B. Schardl, Bradley C. Kuszmaul, I-Ting Angelina Lee, William M. Leiserson, and Charles E. Leiserson,
 
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To apprear in SPAA 2015
 
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'''Lab Meeting - Dolvara Gunatilaka'''
 
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=== ---June 18, 2015 ---===
 
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'''Seminar - Bo Li '''
 
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Radoslav Ivanov, James Weimer, Allan Simpao, Mohamed Rehman, and Insup Lee, "[http://repository.upenn.edu/cgi/viewcontent.cgi?article=1830&context=cis_papers Early Detection of Critical Pulmonary Shunts in Infants]", 6th International Conference on Cyber-Physical Systems (ICCPS 2015) , 110-116. April 2015.
 
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'''Lab Meeting - Chao Wang'''
 
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=== ---June 25, 2015 ---===
 
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'''Seminar - Dolvara Gunatilaka '''
 
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'''Lab Meeting - Chong Li '''
 
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=== ---July 2, 2015 ---===
 
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'''Seminar - Rahav Dor'''
 
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'''Lab Meeting - Jing Li '''
 
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=== ---July 9, 2015 ---===
 
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'''Seminar - Yunkun'''
 
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'''Lab Meeting - Bo Li '''
 
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=== ---July 16, 2015 ---===
 
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'''Seminar -Chong Li'''
 
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'''Lab Meeting - Dolvara Gunatilaka '''
 
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=== ---July 23, 2015 ---===
 
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'''Seminar - Chao Wang'''
 
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'''Lab Meeting -Yunkun '''
 
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==Previous Semesters==
 
 
* [[Seminar Spring 2015|Spring 2015]]
 
* [[Seminar Spring 2015|Spring 2015]]
 
* [[Seminar Fall 2014|Fall 2014]]
 
* [[Seminar Fall 2014|Fall 2014]]
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==Previous Lab Meetings==
 
==Previous Lab Meetings==
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* [[Labmeeting Spring 2020|Spring 2020]]
 
* [[Labmeeting Fall 2014|Fall 2014]]
 
* [[Labmeeting Fall 2014|Fall 2014]]
 
* [[Labmeeting Summer 2014|Summer 2014]]
 
* [[Labmeeting Summer 2014|Summer 2014]]
 
* [[Labmeeting Spring 2014|Spring 2014]]
 
* [[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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