Difference between revisions of "CSE 7300 Research Seminar"

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* '''Theme: AI for Health'''
 
* '''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''': '''Fall 2024'''
+
* '''Semester''': '''Spring 2025'''
−
* '''Time''': Wednesday at 1 PM
+
* '''Time''': Wednesday at 10 am
−
* '''Location''': McKelvey 1030
+
* '''Location''': McKelvey 1020
 
* '''[http://www.cse.wustl.edu/~lu/talks/seminar_guidelines.pdf Guidelines]''':  
 
* '''[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/])
 
* '''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/])
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==Presentation Schedule==
 
==Presentation Schedule==
  
−
=== ---Sep 11 ---===
+
=== ---Jan 22 ---===
 
Ziqi
 
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). [https://doi.org/10.1007/s10462-023-10562-9]
+
Lin, Z., Trivedi, S., & Sun, J. (2023). Generating with confidence: Uncertainty quantification for black-box large language models.
 +
arXiv preprint arXiv:2305.19187.
  
−
=== ---Sep 18 ---===
+
=== ---Jan 29 ---===
 
Daoyi
 
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. [https://openreview.net/pdf?id=1YPfmglNRU]
+
=== ---Feb 5 ---===
 +
Zichen (Lab Meeting)
  
−
=== ---Sep 25 ---===
+
=== ---Feb 12 ---===
−
Jason
+
Cancelled
  
−
Park, C., Awadalla, A., Kohno, T., & Patel, S. (2021). Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. W. Vaughan (Eds.), Advances in Neural Information Processing Systems (Vol. 34, pp. 3043–3056).
+
=== ---Feb 19 ---===
−
https://proceedings.neurips.cc/paper_files/paper/2021/file/17e23e50bedc63b4095e3d8204ce063b-Paper.pdf
+
Ruiqi & Peiqi
  
−
=== ---Oct 02 ---===
+
DeepSeek Series
−
Ben
 
  
−
=== ---Oct 09 ---===
+
=== ---Feb 26 ---===
−
Claire
+
Ben Labrador: Exploring the limits of masked language modeling for laboratory data
  
−
=== ---Oct 16 ---===
+
=== ---Mar 5 ---===
−
Wenyu
+
Charles Self-rag: Learning to retrieve, generate, and critique through self-reflection. In The Twelfth International Conference on Learning Representations.
  
−
=== ---Oct 23 ---===
+
=== ---Mar 12 ---===
−
Di
+
Claire https://ieeexplore.ieee.org/document/10628577
  
−
=== ---Oct 30 ---===
+
=== ---Mar 19 ---===
−
Behrooz
+
Hanyang
  
−
=== ---Nov 06 ---===
+
=== ---Mar 26 ---===
−
Prince
+
Hangyue
 +
Volume Tells: Dual Cycle-Consistent Diffusion for 3D Fluorescence Microscopy De-noising and Super-Resolution
 +
https://arxiv.org/pdf/2503.02261
  
−
=== ---Nov 13 ---===
+
=== ---Apr 2 ---===
 
Zichen
 
Zichen
  
−
=== ---Nov 20 ---===
+
=== ---Apr 9 ---===
−
Peiqi
+
Ziqi
 +
 
 +
=== ---Apr 16 ---===
 +
Ben
  
−
=== ---Nov 27 ---===
+
=== ---Apr 23 ---===
−
Thanksgiving
+
Charles
  
 +
=== ---Apr 30 ---===
 +
Claire
  
 
==Previous Semesters==
 
==Previous Semesters==
 +
* [[Seminar Fall 2024|Fall 2024]]
 
* [[Seminar Spring 2024|Spring 2024]]
 
* [[Seminar Spring 2024|Spring 2024]]
 
* [[Seminar Fall 2023|Fall 2023]]
 
* [[Seminar Fall 2023|Fall 2023]]

Latest revision as of 14:42, 26 March 2025

  • Theme: AI for Health
  • Instructor: Prof. Chenyang Lu
  • Semester: Spring 2025
  • Time: Wednesday at 10 am
  • Location: McKelvey 1020
  • 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

---Jan 22 ---

Ziqi

Lin, Z., Trivedi, S., & Sun, J. (2023). Generating with confidence: Uncertainty quantification for black-box large language models. arXiv preprint arXiv:2305.19187.

---Jan 29 ---

Daoyi

---Feb 5 ---

Zichen (Lab Meeting)

---Feb 12 ---

Cancelled

---Feb 19 ---

Ruiqi & Peiqi

DeepSeek Series

---Feb 26 ---

Ben Labrador: Exploring the limits of masked language modeling for laboratory data

---Mar 5 ---

Charles Self-rag: Learning to retrieve, generate, and critique through self-reflection. In The Twelfth International Conference on Learning Representations.

---Mar 12 ---

Claire https://ieeexplore.ieee.org/document/10628577

---Mar 19 ---

Hanyang

---Mar 26 ---

Hangyue Volume Tells: Dual Cycle-Consistent Diffusion for 3D Fluorescence Microscopy De-noising and Super-Resolution https://arxiv.org/pdf/2503.02261

---Apr 2 ---

Zichen

---Apr 9 ---

Ziqi

---Apr 16 ---

Ben

---Apr 23 ---

Charles

---Apr 30 ---

Claire

Previous Semesters

Previous Lab Meetings

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