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]
−
* '''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]''':  
−
* '''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
+
* '''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==
−
=== ---Sep 06 ---===
 
−
Hangyue
 
  
−
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 ---===
+
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]
+
=== ---Sep 18 ---===
−
 
+
Daoyi
−
=== ---Sep 20 ---===
 
−
Jingwen
 
−
 
 
−
Dissertation Proposal Practice Talk
 
−
 
 
−
=== ---Sep 27 ---===
 
−
Bing
 
−
 
 
−
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 ---===
+
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
 
  
−
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]
+
=== ---Sep 25 ---===
 +
Jason
  
−
=== ---Oct 11 ---===
+
=== ---Oct 02 ---===
 
Ben
 
Ben
  
−
Mao, H., Liu, H., Dou, J. X., & Benos, P. V. (2022, November). Towards cross-modal causal structure and representation learning. In Machine Learning for Health (pp. 120-140). PMLR. [https://proceedings.mlr.press/v193/mao22a/mao22a.pdf]
+
=== ---Oct 09 ---===
 +
Claire
  
−
=== ---Oct 18 ---===
+
=== ---Oct 16 ---===
−
Cancelled
+
Wenyu
  
−
=== ---Oct 25 ---===
+
=== ---Oct 23 ---===
−
Daoyi
+
Di
−
 
 
−
Ravindra, N. G., Espinosa, C., Berson, E., Phongpreecha, T., Zhao, P., Becker, M., ... & Aghaeepour, N. (2023). Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity. NPJ Digital Medicine, 6(1), 171. [https://www.nature.com/articles/s41746-023-00911-x]
 
−
 
 
−
=== ---Nov 01 ---===
 
−
Charles
 
  
−
Liu, H., Tam, D., Muqeeth, M., Mohta, J., Huang, T., Bansal, M., & Raffel, C. A. (2022). Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning. Advances in Neural Information Processing Systems, 35, 1950-1965. [https://proceedings.neurips.cc/paper_files/paper/2022/file/0cde695b83bd186c1fd456302888454c-Paper-Conference.pdf]
+
=== ---Oct 30 ---===
 +
Behrooz
  
−
Hu, E. J. . yelong shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. (2022) LoRA: Low-rank adaptation of large language models. In International Conference on Learning Representations (Vol. 3, p. 7).
+
=== ---Nov 06 ---===
−
https://arxiv.org/pdf/2106.09685.pdf
+
Prince
−
 
 
−
=== ---Nov 08 ---===
 
−
Jiaming
 
−
 
 
−
Ghosh, Anurag, et al. "REACT: Streaming Video Analytics On The Edge With Asynchronous Cloud Support." Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation. 2023. [https://dl.acm.org/doi/pdf/10.1145/3576842.3582385]
 
−
 
 
−
=== ---Nov 15 ---===
 
−
Claire
 
  
−
Brathwaite, R., Ssewamala, F. M., Neilands, T. B., Okumu, M., Mutumba, M., Damulira, C., ... & McKay, M. M. (2021). Predicting the individualized risk of poor adherence to ART medication among adolescents living with HIV in Uganda: the Suubi+ Adherence study. African Journal of Reproduction and Gynaecological Endoscopy, 24(6), e25756. [https://onlinelibrary.wiley.com/share/FWHDDNGXEJQXVBFXJ78D?target=10.1002/jia2.25756]
+
=== ---Nov 13 ---===
 +
Zichen
  
−
=== ---Nov 22 ---===
+
=== ---Nov 20 ---===
−
Thanksgiving Break
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Peiqi
  
−
=== ---Nov 29 ---===
+
=== ---Nov 27 ---===
−
Mingzhen
+
Thanksgiving
−
Acevedo, Andrea, Anna Merino, Laura Boldú, Angel Molina, Santiago Alférez, and José Rodellar. "A new convolutional neural network predictive model for the automatic recognition of hypogranulated neutrophils in myelodysplastic syndromes." Computers in Biology and Medicine 134 (2021): 104479. [https://www.sciencedirect.com/science/article/pii/S0010482521002730]
 
  
−
Lewis, Joshua E., Conrad W. Shebelut, Bradley R. Drumheller, Xuebao Zhang, Nithya Shanmugam, Michel Attieh, Michael C. Horwath et al. "An automated pipeline for differential cell counts on whole-slide bone marrow aspirate smears." Modern Pathology 36, no. 2 (2023): 100003. [https://www.sciencedirect.com/science/article/pii/S0893395222000035]
 
  
 
==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]]

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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