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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===---January 15, 2015--- ===
 
  
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'''Seminar - Dolvara Gunatilaka'''
 
  
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IPv6 in Low-Power Wireless Networks [http://www.cs.berkeley.edu/~jwhui/pubs/jhui-ieeeproc112010.pdf Paper]
 
  
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'''Lab Meeting - Rahav Dor'''
 
  
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=== ---January 22, 2015---  ===
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==Previous Semesters==
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'''Seminar - Jing Li'''
 
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Few-to-Many Dynamic Parallelism: Reducing Tail Latency in Interactive Services, ASPLOS‘ 15.
 
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'''Lab Meeting - Chao Wang'''
 
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=== ---January 29, 2015 --- ===
 
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'''Seminar - Chong Li'''
 
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SENIC: Scalable NIC for End-Host Rate Limiting, S. Radhakrishnan, Y. Geng, V. Jeyakumar, A. Kabbani, G. Porter, A. Vahdat, NSDI'14 [http://cseweb.ucsd.edu/~ssradhak/Papers/senic-nsdi14.pdf Paper]
 
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'''Lab Meeting -  Dolvara Gunatilaka'''
 
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=== ---February 5, 2015  ---===
 
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(* moved to the conference room in the Bryan 405 office suite)
 
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'''Seminar - Rahav Dor'''
 
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'''Lab Meeting -  Jing Li'''
 
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=== ---February 12, 2015 --- ===
 
  
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'''Seminar - Chao Wang'''
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* [[Seminar Fall 2019|Fall 2019]]
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* [[Seminar Summer 2019|Summer 2019]]
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Groesbrink, S.; Almeida, L.; de Sousa, M.; Petters, S.M., "Towards certifiable adaptive reservations for hypervisor-based virtualization," Real-Time and Embedded Technology and Applications Symposium (RTAS), 2014 IEEE 20th, pp.13,24, 15-17 April 2014 [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&tp=&arnumber=6925987&openedRefinements%3D*%26filter%3DAND(NOT(4283010803))%26pageNumber%3D8%26rowsPerPage%3D100%26queryText%3D(virtualization+) paper]
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* [[Seminar Spring 2019|Spring 2019]]
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* [[Seminar Fall 2018|Fall 2018]]
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'''Lab Meeting - Bo Li'''
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* [[Seminar Summer 2018|Summer 2018]]
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* [[Seminar Spring 2018|Spring 2018]]
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=== ---February 19, 2015 ---  ===
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* [[Seminar Fall 2017|Fall 2017]]
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* [[Seminar Summer 2017|Summer 2017]]
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'''Seminar - Bo Li'''
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* [[Seminar Spring 2017|Spring 2017]]
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* [[Seminar Fall 2016|Fall 2016]]
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Maxim Buevich, Dan Schnitzer, Tristan Escalada, Arthur Jacquiau-Chamski, Anthony Rowe, [http://users.ece.cmu.edu/~agr/resources/publications/ipsn2014-la.pdf A System for Fine-Grained Remote Monitoring, Control and Pre-Paid Electrical Service in Rural Microgrids], IPSN 2014, Berlin Germany.
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* [[Seminar Summer 2016|Summer 2016]]
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* [[Seminar Spring 2016|Spring 2016]]
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'''Lab Meeting - Rahav Dor'''
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* [[Seminar Fall 2015|Fall 2015]]
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* [[Seminar Summer 2015|Summer 2015]]
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=== ---February 26, 2015 ---===
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* [[Seminar Spring 2015|Spring 2015]]
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'''Seminar - Dolvara Gunatilaka'''
 
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'''Lab Meeting - Chong Li'''
 
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=== ---March 5, 2015---  ===
 
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'''Seminar - Bo Li'''
 
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'''Lab Meeting - Chao Wang'''
 
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=== ---March 12, 2015--- ===
 
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'''Seminar - Chong Li '''
 
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'''Lab Meeting - Jing Li '''
 
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=== ---March 19, 2015 --- ===
 
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'''Seminar - Rahav Dor'''
 
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'''Lab Meeting - Dolvara Gunatilaka'''
 
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=== ---March 26, 2015 ---===
 
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'''Seminar - Chao Wang'''
 
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'''Lab Meeting - Bo Li'''
 
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==Previous Semesters==
 
 
* [[Seminar Fall 2014|Fall 2014]]
 
* [[Seminar Fall 2014|Fall 2014]]
 
* [[Seminar Summer 2014|Summer 2014]]
 
* [[Seminar Summer 2014|Summer 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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