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''': '''Spring 2025'''
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* '''Time''': Wednesday at 11am-12pm
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* '''Time''': Wednesday at 10 am
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* '''Location''': McKelvey 1030
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* '''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]''':  
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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]
 
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=== ---Sep 13 ---===
 
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Ruiqi
 
−
 
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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 20 ---===
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=== ---Jan 22 ---===
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Jingwen
 
−
 
 
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Dissertation Proposal Practice Talk
 
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=== ---Sep 27 ---===
 
−
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
 
Ziqi
  
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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]
+
Lin, Z., Trivedi, S., & Sun, J. (2023). Generating with confidence: Uncertainty quantification for black-box large language models.
 +
arXiv preprint arXiv:2305.19187.
  
−
=== ---Oct 11 ---===
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=== ---Jan 29 ---===
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Ben
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Daoyi
  
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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]
+
=== ---Feb 5 ---===
 +
Zichen (Lab Meeting)
  
−
=== ---Oct 18 ---===
+
=== ---Feb 12 ---===
 
Cancelled
 
Cancelled
  
−
=== ---Oct 25 ---===
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=== ---Feb 19 ---===
−
Daoyi
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Ruiqi & Peiqi
  
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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]
+
DeepSeek Series
  
−
=== ---Nov 01 ---===
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=== ---Feb 26 ---===
−
Charles
+
Ben
−
 
 
−
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]
 
−
 
 
−
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).
 
−
https://arxiv.org/pdf/2106.09685.pdf
 
−
 
 
−
=== ---Nov 08 ---===
 
−
Jiaming
 
  
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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]
+
=== ---Mar 5 ---===
 +
Hanyang
  
−
=== ---Nov 15 ---===
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=== ---Mar 12 ---===
 
Claire
 
Claire
  
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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]
+
=== ---Mar 19 ---===
 +
Charles
  
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=== ---Nov 22 ---===
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=== ---Mar 26 ---===
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Thanksgiving Break
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Hangyue
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=== ---Nov 29 ---===
 
−
 
 
−
 
 
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=== ---Dec 06 ---===
 
  
 
==Previous Semesters==
 
==Previous Semesters==
−
* [[Seminar Sprint 2023|Spring 2023]]
+
* [[Seminar Fall 2024|Fall 2024]]
 +
* [[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 06:31, 25 February 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

---Mar 5 ---

Hanyang

---Mar 12 ---

Claire

---Mar 19 ---

Charles

---Mar 26 ---

Hangyue

Previous Semesters

Previous Lab Meetings

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