Difference between revisions of "Seminar Spring 2022"

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(Created page with "{| align="right" | __TOC__ |} * '''Instructor''': [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu] * '''Semester''': '''Summer 2021''' * '''Time''': Thursday at 4pm-4:50pm ...")
 
 
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* '''Instructor''': [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu]
 
* '''Instructor''': [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu]
* '''Semester''': '''Summer 2021'''
+
* '''Semester''': '''Fall 2022'''
* '''Time''': Thursday at 4pm-4:50pm
+
* '''Time''': Wednesday at 1pm-1:50pm
* '''Location''': Virtual
+
* '''Location''': McKelvey 1030
 
 
 
 
=== ---ML for Health ---===
 
 
 
=== ---Feb 04 ---===
 
Ruixuan
 
 
 
Guo, Gabriel, et al. "MSLife: Digital Behavioral Phenotyping of Multiple Sclerosis Symptoms in the Wild Using Wearables and Graph-Based Statistical Analysis." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5.4 (2021): 1-35.
 
[https://dl.acm.org/doi/10.1145/3494970]
 
 
 
=== ---Feb 11 ---===
 
Ziqi
 
 
 
Bica, Ioana, et al. "From real‐world patient data to individualized treatment effects using machine learning: current and future methods to address underlying challenges." Clinical Pharmacology & Therapeutics 109.1 (2021): 87-100. [https://ascpt.onlinelibrary.wiley.com/doi/10.1002/cpt.1907]
 
 
 
=== ---Feb 18 ---===
 
Cancel
 
 
 
=== ---Feb 25 ---===
 
Sixie
 
 
 
Yang, Qian, et al. "Flop: Federated learning on medical datasets using partial networks." Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2021. [https://dl.acm.org/doi/pdf/10.1145/3447548.3467185]
 
 
 
=== ---Mar 04 ---===
 
Moran
 
 
 
Song, Sijie, et al. "An end-to-end spatial-temporal attention model for human action recognition from skeleton data." Proceedings of the AAAI conference on artificial intelligence. Vol. 31. No. 1. 2017. [https://ojs.aaai.org/index.php/AAAI/article/view/11212]
 
 
 
=== ---Mar 11 ---===
 
Jingwen
 
 
 
Park, Chunjong, et al. "Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection." Advances in Neural Information Processing Systems 34 (2021).
 
[https://papers.nips.cc/paper/2021/file/17e23e50bedc63b4095e3d8204ce063b-Paper.pdf]
 
 
 
=== ---Mar 18 ---===
 
Cancel
 
 
 
=== ---Mar 25 ---===
 
Cancel
 
 
 
=== ---Apr 01 ---===
 
Bing
 
 
 
Choi, Edward, et al. "GRAM: graph-based attention model for healthcare representation learning." Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining. 2017.[https://dl.acm.org/doi/pdf/10.1145/3097983.3098126]
 
 
 
Choi, Edward, et al. "Mime: Multilevel medical embedding of electronic health records for predictive healthcare." Advances in neural information processing systems 31 (2018).
 
[https://proceedings.neurips.cc/paper/2018/file/934b535800b1cba8f96a5d72f72f1611-Paper.pdf]
 
 
 
Choi, Edward, et al. "Learning the graphical structure of electronic health records with graph convolutional transformer." Proceedings of the AAAI conference on artificial intelligence. Vol. 34. No. 01. 2020. [https://arxiv.org/pdf/1906.04716.pdf]
 
 
 
=== ---Apr 08 ---===
 
Cancel
 
 
 
=== ---Apr 15 ---===
 
Hanyang
 
 
 
=== ---Apr 22 ---===
 
Ruiqi
 
 
 
Shiqi Jiang, Zhiqi Lin, Yuanchun Li, Yuanchao Shu, and Yunxin Liu. 2021. Flexible high-resolution object detection on edge devices with tunable latency. In Proceedings of the 27th Annual International Conference on Mobile Computing and Networking (MobiCom ’21). Association for Computing Machinery, New York, NY, USA, 559–572. DOI:https://doi.org/10.1145/3447993.3483274
 
 
 
  
 
* NeurIPS ([http://nips.cc/])
 
* NeurIPS ([http://nips.cc/])
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* SIGKDD ([http://www.kdd.org/])
 
* SIGKDD ([http://www.kdd.org/])
 
* IJCAI ([http://www.ijcai.org/])
 
* IJCAI ([http://www.ijcai.org/])
* IMWUT ([http://dl.acm.org/journal/imwut])
 
 
* Digital Medicine ([http://www.nature.com/npjdigitalmed/])
 
* Digital Medicine ([http://www.nature.com/npjdigitalmed/])
 
* HEALTH ([http://dl.acm.org/journal/health])
 
* HEALTH ([http://dl.acm.org/journal/health])
 
* Lancet Digital Health ([https://www.thelancet.com/journals/landig/issues#decade=loi_decade_201])
 
* Lancet Digital Health ([https://www.thelancet.com/journals/landig/issues#decade=loi_decade_201])
 +
* IMWUT ([http://dl.acm.org/journal/imwut])
 +
* SenSys
 +
* MobiSys
 +
* MobiCom
 +
* IPSN
 +
* IoTDI
 +
 +
==Presentation Schedule==
 +
=== ---Oct 12 ---===
 +
Bing
 +
 +
=== ---Oct 19 ---===
 +
Jingwen
 +
 +
=== ---Oct 26 ---===
 +
Hanyang
  
=== ---Cyber Physical Systems ---===
+
=== ---Nov 02 ---===
 +
Ziqi
  
* SenSys ([http://sensys.acm.org])
+
=== ---Nov 09 ---===
* IPSN ([http://ipsn.acm.org])
+
Ruiqi
* RTSS ([http://www.rtss.org/])
 
* RTAS ([http://www.rtas.org/])
 
* ICCPS ([http://www.iccps.org])
 
* MobiCom ([https://sigmobile.org/mobicom/2019/])
 
* MobiSys ([http://www.sigmobile.org/mobisys/2019/])
 
* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2019/])
 
* NSDI ([https://www.usenix.org/conference/nsdi19])
 
* SOSP ([https://www.sigops.org/])
 
* OSDI ([https://www.usenix.org/conference/osdi18/])
 
  
==Presentation Schedule==
+
=== ---Nov 16 ---===
 +
Jaehwan
 +
 
 +
=== ---Nov 30 ---===
 +
Bing
  
  
  
 
==Previous Semesters==
 
==Previous Semesters==
* [[Seminar Spring 2022|Spring 2022]]
+
* [[Seminar Fall 2021|Fall 2021]]
 +
* [[Seminar Summer 2021|Summer 2021]]
 
* [[Seminar Spring 2021|Spring 2021]]
 
* [[Seminar Spring 2021|Spring 2021]]
 
* [[Seminar Fall 2020|Fall 2020]]
 
* [[Seminar Fall 2020|Fall 2020]]
 +
* [[Seminar Summer 2020|Summer 2020]]
 
* [[Seminar Spring 2020|Spring 2020]]
 
* [[Seminar Spring 2020|Spring 2020]]
 
* [[Seminar Fall 2019|Fall 2019]]
 
* [[Seminar Fall 2019|Fall 2019]]

Latest revision as of 06:12, 11 October 2022