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: Jolley 224'''
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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 11 ---===
 
  
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'''Seminar - Haoran'''
 
  
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"SCL: Simplifying Distributed SDN Control Planes" NSDI'17 Aurojit Panda and Wenting Zheng, University of California, Berkeley; Xiaohe Hu, Tsinghua University; Arvind Krishnamurthy, University of Washington; Scott Shenker, University of California, Berkeley, and International Computer Science Institute [https://www.usenix.org/system/files/conference/nsdi17/nsdi17-panda-aurojit-scl.pdf paper]
 
  
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'''Lab Meeting - Yehan'''
 
  
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=== ---May 25 ---===
 
  
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'''Seminar - Dee'''
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==Previous Semesters==
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Design and Application of Many-to-One Communication Protocol, INFOCOM'17
 
  
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'''Lab Meeting -Chong'''
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* [[Seminar Fall 2019|Fall 2019]]
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* [[Seminar Summer 2019|Summer 2019]]
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=== ---June 1 ---===
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* [[Seminar Spring 2019|Spring 2019]]
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* [[Seminar Fall 2018|Fall 2018]]
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'''Seminar - Chao'''
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* [[Seminar Summer 2018|Summer 2018]]
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* [[Seminar Spring 2018|Spring 2018]]
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Deepak Vasisht et al., "FarmBeats: An IoT Platform for Data-Driven Agriculture", NSDI'17 [https://www.usenix.org/conference/nsdi17/technical-sessions/presentation/vasisht link]
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* [[Seminar Fall 2017|Fall 2017]]
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* [[Seminar Summer 2017|Summer 2017]]
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'''Lab Meeting - Cancelled'''
 
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=== ---June 8 ---===
 
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'''Seminar - Chao'''
 
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IWQoS'17 presentation dry run.
 
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'''Lab Meeting - Haoran'''
 
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=== ---June 15 ---===
 
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'''Seminar - Chong'''
 
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Encoding, Fast and Slow: Low-Latency Video Processing Using Thousands of Tiny Threads, NSDI'17
 
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'''Lab Meeting - Xiaoling'''
 
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=== ---June 22 ---===
 
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'''Seminar - Dingwen'''
 
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'''Lab Meeting -Dee'''
 
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=== ---July 13 ---===
 
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'''Seminar - Chao'''
 
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Akidau, Tyler, et al. "The dataflow model: a practical approach to balancing correctness, latency, and cost in massive-scale, unbounded, out-of-order data processing." Proceedings of the VLDB Endowment 8.12 (2015): 1792-1803. [http://dl.acm.org/citation.cfm?id=2824076 ACM digital library]
 
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'''Lab Meeting -Chong'''
 
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=== ---July 20 ---===
 
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'''Seminar - Haoran'''
 
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Jang, Keon, et al. "Silo: Predictable message latency in the cloud." ACM SIGCOMM Computer Communication Review 45.4 (2015): 435-448. [http://delivery.acm.org/10.1145/2790000/2787479/p435-jang.pdf?ip=128.252.48.12&id=2787479&acc=PUBLIC&key=B63ACEF81C6334F5%2E4E6E072390D11401%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&CFID=962530458&CFTOKEN=74396117&__acm__=1500560669_a6b9bb0ad057fb558e71d565510b0555 paper]
 
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'''Lab Meeting -Jing'''
 
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=== ---July 27 ---===
 
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'''Seminar - Chong'''
 
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Ananta: Cloud Scale Load Balancing. In Proc. ACM SIGCOMM (2013)
 
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'''Lab Meeting -Dingwen'''
 
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=== ---August 3 ---===
 
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'''Seminar - Dee'''
 
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'''Lab Meeting -Chao'''
 
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=== ---August 10 ---===
 
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'''Seminar - Xin'''
 
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'''Lab Meeting -Haoran'''
 
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=== ---August 17 ---===
 
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'''Seminar - Dingwen'''
 
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'''Lab Meeting -Dee'''
 
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==Previous Semesters==
 
 
* [[Seminar Spring 2017|Spring 2017]]
 
* [[Seminar Spring 2017|Spring 2017]]
 
* [[Seminar Fall 2016|Fall 2016]]
 
* [[Seminar Fall 2016|Fall 2016]]
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==Previous Lab Meetings==
 
==Previous Lab Meetings==
 +
* [[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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