Difference between revisions of "CSE 7300 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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* '''Semester''': Fall 2020
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* '''Semester''': Spring 2021
 
* '''Time''': Thursday at 4pm-4:50pm
 
* '''Time''': Thursday at 4pm-4:50pm
 
* '''Location''': Virtual
 
* '''Location''': Virtual
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* OSDI ([https://www.usenix.org/conference/osdi18/])
 
* OSDI ([https://www.usenix.org/conference/osdi18/])
  
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=== ---Oct 1 ---===
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==Schedule==
  
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Jingwen
 
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Paper: Goldstein, Orpaz, et al. "Target-Focused Feature Selection Using Uncertainty Measurements in Healthcare Data." ACM Transactions on Computing for Healthcare 1.3 (2020): 1-17. [https://dl.acm.org/doi/10.1145/3383685]
 
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=== ---Oct 8 ---===
 
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Ruixuan
 
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Wiens, Jenna, John Guttag, and Eric Horvitz. "A study in transfer learning: leveraging data from multiple hospitals to enhance hospital-specific predictions." Journal of the American Medical Informatics Association 21.4 (2014): 699-706.
 
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[https://academic.oup.com/jamia/article/21/4/699/761441]
 
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=== ---Oct 15 ---===
 
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Hanyang
 
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Bianchi, Filippo Maria, et al. "Learning representations of multivariate time series with missing data." Pattern Recognition 96 (2019): 106973.https://arxiv.org/abs/1805.03473
 
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AAAI’20, A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs. https://arxiv.org/abs/2002.12359
 
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=== ---Oct 22 ---===
 
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Cancel (SIGMETRICS/IoTDI/RTAS)
 
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=== ---Oct 29 ---===
 
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Cancel
 
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=== ---Nov 5---===
 
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Liang
 
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Paper: Mangaokar, Neal, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, and Bimal Viswanath. "Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models." [https://people.cs.vt.edu/vbimal/publications/jekyll-eurosp20.pdf]
 
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=== ---Nov 12---===
 
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Bing
 
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Grabocka, Josif, et al. "Learning time-series shapelets." Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining. 2014.
 
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Ye, Lexiang, and Eamonn Keogh. "Time series shapelets: a new primitive for data mining." Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining. 2009.
 
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=== ---Nov 19---===
 
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Saumik
 
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Paper: Jiao, York, et al. "Probabilistic forecasting of surgical case duration using machine learning: model development and validation." Journal of the American Medical Informatics Association (2020).
 
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=== ---Nov 26---===
 
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Thanksgiving
 
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=== ---Dec 3---===
 
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Jingwen
 
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Literature review about contact tracing
 
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=== ---Dec 10---===
 
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Hanyang
 
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Cao, Bokai, et al. "Deepmood: modeling mobile phone typing dynamics for mood detection." KDD. 2017.
 
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https://dl.acm.org/doi/pdf/10.1145/3097983.3098086
 
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=== ---Dec 17---===
 
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Liang
 
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Choi, Edward, et al. "Doctor ai: Predicting clinical events via recurrent neural networks." Machine Learning for Healthcare Conference. 2016. [http://proceedings.mlr.press/v56/Choi16.pdf]
 
  
 
==Previous Semesters==
 
==Previous Semesters==

Revision as of 21:49, 22 December 2020

  • Instructor: Prof. Chenyang Lu
  • Semester: Spring 2021
  • Time: Thursday at 4pm-4:50pm
  • Location: Virtual


---ML for Health ---

  • NeurIPS ([1])
  • ICML ([2])
  • AAAI ([3])
  • SIGKDD ([4])
  • IJCAI ([5])
  • IMWUT ([6])
  • Digital Medicine ([7])
  • HEALTH ([8])
  • Lancet Digital Health ([9])

---Cyber Physical Systems ---

Schedule

Previous Semesters

Previous Lab Meetings

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