Difference between revisions of "CSE 7300 Research Seminar"

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* '''Theme: AI and IoT for Medicine (AIM)'''
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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''': '''Fall 2023'''
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* '''Semester''': '''Fall 2024'''
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* '''Time''': Wednesday at 11am-12pm
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* '''Time''': Wednesday at 1 PM
 
* '''Location''': McKelvey 1030
 
* '''Location''': McKelvey 1030
 
* '''[http://www.cse.wustl.edu/~lu/talks/seminar_guidelines.pdf Guidelines]''':  
 
* '''[http://www.cse.wustl.edu/~lu/talks/seminar_guidelines.pdf Guidelines]''':  
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* '''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]), SenSys, MobiSys, MobiCom
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* '''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==
 
==Presentation Schedule==
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=== ---Sep 06 ---===
 
−
Hangyue
 
  
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Letzgus, Simon, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, and Gregoire Montavon. "Toward explainable artificial intelligence for regression models: A methodological perspective." IEEE Signal Processing Magazine 39, no. 4 (2022): 40-58. [https://ieeexplore.ieee.org/abstract/document/9810062]
+
=== ---Sep 11 ---===
 +
Ziqi
  
−
=== ---Sep 13 ---===
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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]
−
Ruiqi
 
  
−
Gupta, Akshita, Sanath Narayan, K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, and Mubarak Shah. "Ow-detr: Open-world detection transformer." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 9235-9244. 2022. [https://openaccess.thecvf.com/content/CVPR2022/html/Gupta_OW-DETR_Open-World_Detection_Transformer_CVPR_2022_paper]
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=== ---Sep 18 ---===
 +
Daoyi
  
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=== ---Sep 20 ---===
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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]
−
Jingwen
 
  
−
Dissertation Proposal Practice Talk
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=== ---Sep 25 ---===
 +
Jason
  
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=== ---Sep 27 ---===
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=== ---Oct 02 ---===
−
Bing
 
−
 
 
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Li, Xiang Lisa, and Percy Liang. "Prefix-tuning: Optimizing continuous prompts for generation." arXiv preprint arXiv:2101.00190 (2021). [https://aclanthology.org/2021.acl-long.353.pdf]
 
−
 
 
−
=== ---Oct 04 ---===
 
−
Ziqi
 
−
 
 
−
Li, Y., Hu, P., Liu, Z., Peng, D., Zhou, J. T., & Peng, X. "Contrastive Clustering." Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 10, 2021, pp. 8547-8555. [https://arxiv.org/pdf/2009.09687.pdf]
 
−
 
 
−
=== ---Oct 11 ---===
 
 
Ben
 
Ben
  
−
=== ---Oct 18 ---===
+
=== ---Oct 09 ---===
 
Claire
 
Claire
  
−
=== ---Oct 25 ---===
+
=== ---Oct 16 ---===
−
Daoyi
+
Wenyu
−
 
 
−
=== ---Nov 01 ---===
 
−
Charles
 
  
−
=== ---Nov 08 ---===
+
=== ---Oct 23 ---===
−
Jiaming
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Di
  
−
=== ---Nov 15 ---===
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=== ---Oct 30 ---===
 +
Behrooz
  
 +
=== ---Nov 06 ---===
 +
Prince
  
−
=== ---Nov 22 ---===
+
=== ---Nov 13 ---===
−
Thanksgiving Break
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Zichen
  
−
=== ---Nov 29 ---===
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=== ---Nov 20 ---===
 +
Peiqi
  
 +
=== ---Nov 27 ---===
 +
Thanksgiving
  
−
=== ---Dec 06 ---===
 
  
 
==Previous Semesters==
 
==Previous Semesters==
−
* [[Seminar Sprint 2023|Spring 2023]]
+
* [[Seminar Spring 2024|Spring 2024]]
 +
* [[Seminar Fall 2023|Fall 2023]]
 +
* [[Seminar Spring 2023|Spring 2023]]
 
* [[Seminar Fall 2022|Fall 2022]]
 
* [[Seminar Fall 2022|Fall 2022]]
 
* [[Seminar Summer 2022|Summer 2022]]
 
* [[Seminar Summer 2022|Summer 2022]]

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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