Difference between revisions of "CSE 7300 Research Seminar"

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* '''Theme: AI for Health'''
 
* '''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''': '''Summer 2021'''
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* '''Semester''': '''Fall 2024'''
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* '''Time''': Thursday at 4pm-4:50pm
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* '''Time''': Wednesday at 1 PM
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* '''Location''': Virtual
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* '''Location''': McKelvey 1030
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* '''[http://www.cse.wustl.edu/~lu/talks/seminar_guidelines.pdf Guidelines]''':  
 +
* '''Recommended sources:''' NeurIPS ([http://nips.cc/]), ICML ([http://icml.cc/]), AAAI ([http://www.aaai.org/]), SIGKDD ([http://www.kdd.org/]), IJCAI ([http://www.ijcai.org/]), IMWUT ([http://dl.acm.org/journal/imwut]), HEALTH ([http://dl.acm.org/journal/health]), Digital Medicine ([http://www.nature.com/npjdigitalmed/]), Lancet Digital Health ([https://www.thelancet.com/journals/landig/issues#decade=loi_decade_201]), NEJM AI ([https://ai.nejm.org/])
  
 +
==Presentation Schedule==
  
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=== ---ML for Health ---===
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=== ---Sep 11 ---===
−
 
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Ziqi
−
=== ---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.
 
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[https://dl.acm.org/doi/10.1145/3494970]
 
−
 
 
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=== ---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]
 
−
 
 
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=== ---Feb 18 ---===
 
−
Cancel
 
−
 
 
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=== ---Feb 25 ---===
 
−
Sixie
 
−
 
 
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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]
 
−
 
 
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=== ---Mar 04 ---===
 
−
Moran
 
−
 
 
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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]
 
−
 
 
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=== ---Mar 11 ---===
 
−
Jingwen
 
−
 
 
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Park, Chunjong, et al. "Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection." Advances in Neural Information Processing Systems 34 (2021).
 
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[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]
+
Gawlikowski, J., Tassi, C.R.N., Ali, M. et al. A survey of uncertainty in deep neural networks. Artif Intell Rev 56 (Suppl 1), 1513–1589 (2023). [https://doi.org/10.1007/s10462-023-10562-9]
  
−
Choi, Edward, et al. "Mime: Multilevel medical embedding of electronic health records for predictive healthcare." Advances in neural information processing systems 31 (2018).
+
=== ---Sep 18 ---===
−
[https://proceedings.neurips.cc/paper/2018/file/934b535800b1cba8f96a5d72f72f1611-Paper.pdf]
+
Daoyi
  
−
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]
+
Hüyük, A., Wei, Q., Curth, A. and van der Schaar, M., 2024. Defining Expertise: Applications to Treatment Effect Estimation. arXiv preprint arXiv:2403.00694. [https://openreview.net/pdf?id=1YPfmglNRU]
  
−
=== ---Apr 08 ---===
+
=== ---Sep 25 ---===
−
Cancel
+
Jason
  
−
=== ---Apr 15 ---===
+
=== ---Oct 02 ---===
−
Hanyang
+
Ben
  
−
=== ---Apr 22 ---===
+
=== ---Oct 09 ---===
−
Ruiqi
+
Claire
  
−
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
+
=== ---Oct 16 ---===
 +
Wenyu
  
 +
=== ---Oct 23 ---===
 +
Di
  
−
* NeurIPS ([http://nips.cc/])
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=== ---Oct 30 ---===
−
* ICML ([http://icml.cc/])
+
Behrooz
−
* AAAI ([http://www.aaai.org/])
 
−
* SIGKDD ([http://www.kdd.org/])
 
−
* IJCAI ([http://www.ijcai.org/])
 
−
* IMWUT ([http://dl.acm.org/journal/imwut])
 
−
* Digital Medicine ([http://www.nature.com/npjdigitalmed/])
 
−
* HEALTH ([http://dl.acm.org/journal/health])
 
−
* Lancet Digital Health ([https://www.thelancet.com/journals/landig/issues#decade=loi_decade_201])
 
  
−
=== ---Cyber Physical Systems ---===
+
=== ---Nov 06 ---===
 +
Prince
  
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* SenSys ([http://sensys.acm.org])
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=== ---Nov 13 ---===
−
* IPSN ([http://ipsn.acm.org])
+
Zichen
−
* RTSS ([http://www.rtss.org/])
 
−
* RTAS ([http://www.rtas.org/])
 
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* ICCPS ([http://www.iccps.org])
 
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* MobiCom ([https://sigmobile.org/mobicom/2019/])
 
−
* MobiSys ([http://www.sigmobile.org/mobisys/2019/])
 
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* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2019/])
 
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* NSDI ([https://www.usenix.org/conference/nsdi19])
 
−
* SOSP ([https://www.sigops.org/])
 
−
* OSDI ([https://www.usenix.org/conference/osdi18/])
 
  
−
==Presentation Schedule==
+
=== ---Nov 20 ---===
 +
Peiqi
  
 +
=== ---Nov 27 ---===
 +
Thanksgiving
  
  
 
==Previous Semesters==
 
==Previous Semesters==
 +
* [[Seminar Spring 2024|Spring 2024]]
 +
* [[Seminar Fall 2023|Fall 2023]]
 +
* [[Seminar Spring 2023|Spring 2023]]
 +
* [[Seminar Fall 2022|Fall 2022]]
 
* [[Seminar Summer 2022|Summer 2022]]
 
* [[Seminar Summer 2022|Summer 2022]]
 
* [[Seminar Spring 2022|Spring 2022]]
 
* [[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 19:06, 18 September 2024

  • Theme: AI for Health
  • Instructor: Prof. Chenyang Lu
  • Semester: Fall 2024
  • Time: Wednesday at 1 PM
  • Location: McKelvey 1030
  • Guidelines:
  • Recommended sources: NeurIPS ([1]), ICML ([2]), AAAI ([3]), SIGKDD ([4]), IJCAI ([5]), IMWUT ([6]), HEALTH ([7]), Digital Medicine ([8]), Lancet Digital Health ([9]), NEJM AI ([10])

Presentation Schedule

---Sep 11 ---

Ziqi

Gawlikowski, J., Tassi, C.R.N., Ali, M. et al. A survey of uncertainty in deep neural networks. Artif Intell Rev 56 (Suppl 1), 1513–1589 (2023). [11]

---Sep 18 ---

Daoyi

Hüyük, A., Wei, Q., Curth, A. and van der Schaar, M., 2024. Defining Expertise: Applications to Treatment Effect Estimation. arXiv preprint arXiv:2403.00694. [12]

---Sep 25 ---

Jason

---Oct 02 ---

Ben

---Oct 09 ---

Claire

---Oct 16 ---

Wenyu

---Oct 23 ---

Di

---Oct 30 ---

Behrooz

---Nov 06 ---

Prince

---Nov 13 ---

Zichen

---Nov 20 ---

Peiqi

---Nov 27 ---

Thanksgiving


Previous Semesters

Previous Lab Meetings

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