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: Friday at 3pm-4pm, 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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=== ---Sep 6 ---===
 
  
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Canceled
 
  
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=== ---Sep 13 ---===
 
  
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Haoran
 
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*Bhat, Anand, Soheil Samii, and Ragunathan Raj Rajkumar. "Recovery time considerations in real-time systems employing software fault tolerance." 30th Euromicro Conference on Real-Time Systems (ECRTS 2018). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, 2018.
 
  
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Lab Meeting: Ruixuan
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==Previous Semesters==
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*DSS practice talk
 
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=== ---Sep 20 ---===
 
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Jiangnan
 
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*Faisal, Abdullah Bin, et al. "Workload adaptive flow scheduling." Proceedings of the 14th International Conference on emerging Networking EXperiments and Technologies. ACM, 2018.
 
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Lab Meeting: Chong
 
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=== ---Sep 27 ---===
 
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Ruixuan
 
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*Smets, Elena, et al. "Large-scale wearable data reveal digital phenotypes for daily-life stress detection." npj Digital Medicine 1.1 (2018): 67.
 
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Lab Meeting: Cancelled
 
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=== ---Oct 4---===
 
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Chong
 
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*Li, Bojie, et al. "Socksdirect: datacenter sockets can be fast and compatible." Proceedings of the ACM Special Interest Group on Data Communication. ACM, 2019.
 
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Lab Meeting: Dingwen
 
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=== ---Oct 11 ---===
 
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Dingwen
 
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*A. Doryab et al. "Modeling Biobehavioral Rhythms with Passive Sensing in the Wild: A Case Study to Predict Readmission Risk after Pancreatic Surgery" IMWUT Volume 3 Issue 1, March 2019
 
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Lab Meeting: Jiangnan
 
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=== ---Oct 18 ---===
 
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Haoran
 
  
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*Song, Jiguo, John Wittrock, and Gabriel Parmer. "Predictable, efficient system-level fault tolerance in C3." 2013 IEEE 34th Real-Time Systems Symposium. IEEE, 2013.
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* [[Seminar Fall 2019|Fall 2019]]
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Lab Meeting: Ruixuan
 
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=== ---Oct 25 ---===
 
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Canceled
 
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=== ---Nov 1 ---===
 
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Jiangnan
 
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*Mohammadpour, Ehsan, et al. "Latency and Backlog Bounds in Time-Sensitive Networking with Credit Based Shapers and Asynchronous Traffic Shaping." 2018 30th International Teletraffic Congress (ITC 30). Vol. 2. IEEE, 2018.
 
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Lab Meeting: Haoran
 
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=== ---Nov 8 ---===
 
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Ruixuan
 
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*Tracking depression dynamics in college students using mobile phone and wearable sensing
 
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Lab Meeting: Dingwen
 
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=== ---Nov 15 ---===
 
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Haoran
 
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Lab Meeting: Chong
 
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==Previous Semesters==
 
 
* [[Seminar Summer 2019|Summer 2019]]
 
* [[Seminar Summer 2019|Summer 2019]]
 
* [[Seminar Spring 2019|Spring 2019]]
 
* [[Seminar Spring 2019|Spring 2019]]
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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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