Difference between revisions of "CSE 7300 Research Seminar"

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* '''Theme: AI and IoT for Medicine (AIM)'''
+
* '''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''': '''Spring 2024'''
+
* '''Semester''': '''Fall 2024'''
 
* '''Time''': Wednesday at 1 PM
 
* '''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==
−
=== ---Jan 24 ---===
 
−
Hangyue
 
  
−
=== ---Jan 31 ---===
+
=== ---Sep 11 ---===
−
Ruiqi
+
Ziqi
  
−
=== ---Feb 07 ---===
+
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
 
  
−
=== ---Feb 14 ---===
+
=== ---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. [https://openreview.net/pdf?id=1YPfmglNRU]
 +
 
 +
=== ---Sep 25 ---===
 +
Jason
 +
 
 +
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).
 +
[https://proceedings.neurips.cc/paper_files/paper/2021/file/17e23e50bedc63b4095e3d8204ce063b-Paper.pdf]
 +
 
 +
=== ---Oct 02 ---===
 
Ben
 
Ben
  
−
M. Wornow, R. Thapa, E. Steinberg, J. A. Fries, and N. H. Shah, “EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models.” arXiv, Dec. 11, 2023. doi: 10.48550/arXiv.2307.02028.
+
Bick, A., Li, K.Y., Xing, E.P., Kolter, J.Z. and Gu, A., 2024. Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models. arXiv preprint arXiv:2408.10189. [https://arxiv.org/pdf/2408.10189]
 +
 
 +
Dao, T. and Gu, A., 2024. Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality. arXiv preprint arXiv:2405.21060. [https://arxiv.org/pdf/2405.21060]
 +
 
 +
=== ---Oct 09 ---===
 +
Claire
 +
 
 +
Qian Z, Zhang Y, Bica I, Wood A, van der Schaar M. Synctwin: Treatment effect estimation with longitudinal outcomes. Advances in Neural Information Processing Systems. 2021 Dec 6;34:3178-90. [https://proceedings.neurips.cc/paper_files/paper/2021/file/19485224d128528da1602ca47383f078-Paper.pdf]
 +
 
 +
=== ---Oct 16 ---===
 +
Wenyu
 +
 
 +
Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, and Yejin Choi. 2024. Faith and fate: limits of transformers on compositionality. In Proceedings of the 37th International Conference on Neural Information Processing Systems (NIPS '23). Curran Associates Inc., Red Hook, NY, USA, Article 3081, 70293–70332.
 +
[https://dl.acm.org/doi/10.5555/3666122.3669203]
 +
 
 +
=== ---Oct 23 ---===
 +
Di
 +
 
 +
Xu, Shusheng, Wei Fu, Jiaxuan Gao, Wenjie Ye, Weilin Liu, Zhiyu Mei, Guangju Wang, Chao Yu, and Yi Wu. "Is dpo superior to ppo for llm alignment? a comprehensive study." arXiv preprint arXiv:2404.10719 (2024). [https://arxiv.org/pdf/2404.10719]
 +
 
 +
=== ---Oct 30 ---===
 +
Behrooz
 +
 
 +
Renc, Pawel, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, and Arkadiusz Sitek. "Zero shot health trajectory prediction using transformer." NPJ Digital Medicine 7, no. 1 (2024): 256. [https://www.nature.com/articles/s41746-024-01235-0]
 +
 
 +
=== ---Nov 06 ---===
 +
Prince
 +
 
 +
Fan, Na, Zeyue Tian, Amartansh Dubey, Samruddhi Deshmukh, Ross Murch, and Qifeng Chen. "Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 1, pp. 91-99. 2024. [https://ojs.aaai.org/index.php/AAAI/article/view/27759]
 +
 
 +
=== ---Nov 13 ---===
 +
Prince
 +
 
 +
Fan, Na, Zeyue Tian, Amartansh Dubey, Samruddhi Deshmukh, Ross Murch, and Qifeng Chen. "Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 1, pp. 91-99. 2024. [https://ojs.aaai.org/index.php/AAAI/article/view/27759]
 +
 
 +
=== ---Nov 20 ---===
 +
Peiqi
  
−
L. L. Guo et al., “A Multi-Center Study on the Adaptability of a Shared Foundation Model for Electronic Health Records.” arXiv, Nov. 19, 2023. Available: http://arxiv.org/abs/2311.11483
+
Nguyen, Thao, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, and Yong Jae Lee. "Yo'LLaVA: Your Personalized Language and Vision Assistant." arXiv preprint arXiv:2406.09400 (2024). [https://arxiv.org/html/2406.09400v1]
  
 +
=== ---Nov 27 ---===
 +
Thanksgiving
  
  
 
==Previous Semesters==
 
==Previous Semesters==
 +
* [[Seminar Spring 2024|Spring 2024]]
 
* [[Seminar Fall 2023|Fall 2023]]
 
* [[Seminar Fall 2023|Fall 2023]]
 
* [[Seminar Spring 2023|Spring 2023]]
 
* [[Seminar Spring 2023|Spring 2023]]

Latest revision as of 19:28, 20 November 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

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). [13]

---Oct 02 ---

Ben

Bick, A., Li, K.Y., Xing, E.P., Kolter, J.Z. and Gu, A., 2024. Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models. arXiv preprint arXiv:2408.10189. [14]

Dao, T. and Gu, A., 2024. Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality. arXiv preprint arXiv:2405.21060. [15]

---Oct 09 ---

Claire

Qian Z, Zhang Y, Bica I, Wood A, van der Schaar M. Synctwin: Treatment effect estimation with longitudinal outcomes. Advances in Neural Information Processing Systems. 2021 Dec 6;34:3178-90. [16]

---Oct 16 ---

Wenyu

Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, and Yejin Choi. 2024. Faith and fate: limits of transformers on compositionality. In Proceedings of the 37th International Conference on Neural Information Processing Systems (NIPS '23). Curran Associates Inc., Red Hook, NY, USA, Article 3081, 70293–70332. [17]

---Oct 23 ---

Di

Xu, Shusheng, Wei Fu, Jiaxuan Gao, Wenjie Ye, Weilin Liu, Zhiyu Mei, Guangju Wang, Chao Yu, and Yi Wu. "Is dpo superior to ppo for llm alignment? a comprehensive study." arXiv preprint arXiv:2404.10719 (2024). [18]

---Oct 30 ---

Behrooz

Renc, Pawel, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, and Arkadiusz Sitek. "Zero shot health trajectory prediction using transformer." NPJ Digital Medicine 7, no. 1 (2024): 256. [19]

---Nov 06 ---

Prince

Fan, Na, Zeyue Tian, Amartansh Dubey, Samruddhi Deshmukh, Ross Murch, and Qifeng Chen. "Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 1, pp. 91-99. 2024. [20]

---Nov 13 ---

Prince

Fan, Na, Zeyue Tian, Amartansh Dubey, Samruddhi Deshmukh, Ross Murch, and Qifeng Chen. "Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 1, pp. 91-99. 2024. [21]

---Nov 20 ---

Peiqi

Nguyen, Thao, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, and Yong Jae Lee. "Yo'LLaVA: Your Personalized Language and Vision Assistant." arXiv preprint arXiv:2406.09400 (2024). [22]

---Nov 27 ---

Thanksgiving


Previous Semesters

Previous Lab Meetings

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