Difference between revisions of "CSE 7300 Research Seminar"

From Cyber-Physical Systems Laboratory
Jump to navigationJump to search
 
(147 intermediate revisions by 7 users not shown)
Line 3: Line 3:
 
  |}
 
  |}
  
 +
* '''Theme: AI for Health'''
 
* '''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 2024'''
* '''Time''': Thursday at 4pm-4:50pm
+
* '''Time''': Wednesday at 1 PM
* '''Location''': Virtual
+
* '''Location''': McKelvey 1030
 +
* '''[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==
  
=== ---ML for Health ---===
+
=== ---Sep 11 ---===
 
+
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.
 
[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 spatio-temporal attention model for human action recognition from skeleton data." Proceedings of the AAAI conference on artificial intelligence. Vol. 31. No. 1. 2017.
 
  
=== ---Mar 11 ---===
+
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]
Jingwen
 
  
=== ---Mar 18 ---===
+
=== ---Sep 18 ---===
Bing
+
Daoyi
  
=== ---Mar 25 ---===
+
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]
Ziqi
 
  
=== ---Apr 01 ---===
+
=== ---Sep 25 ---===
Hanyang
+
Jason
  
=== ---Apr 01 ---===
+
=== ---Oct 02 ---===
Moran
+
Ben
  
=== ---Apr 01 ---===
+
=== ---Oct 09 ---===
Sixie
+
Claire
  
=== ---Apr 01 ---===
+
=== ---Oct 16 ---===
Ruiqi
+
Wenyu
  
 +
=== ---Oct 23 ---===
 +
Di
  
* NeurIPS ([http://nips.cc/])
+
=== ---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
  
* SenSys ([http://sensys.acm.org])
+
=== ---Nov 13 ---===
* IPSN ([http://ipsn.acm.org])
+
Zichen
* 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 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 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