Difference between revisions of "CSE 7300 Research Seminar"

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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''': '''Summer 2021'''
+
* '''Semester''': '''Fall 2024'''
−
* '''Time''': Thursday at 4pm-4:50pm
+
* '''Time''': Wednesday at 1 PM
−
* '''Location''': Virtual
+
* '''Location''': McKelvey 1030
 +
* '''[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/])
  
 +
==Presentation Schedule==
  
−
=== ---ML for Health ---===
+
=== ---Sep 11 ---===
 +
Ziqi
  
−
=== ---Feb 04 ---===
+
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]
−
Ruixuan
 
  
−
Guo, Gabriel, et al. "MSLife: Digital Behavioral Phenotyping of Multiple Sclerosis Symptoms in the Wild Using Wearables and Graph-Based Statistical Analysis." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5.4 (2021): 1-35.
+
=== ---Sep 18 ---===
−
[https://dl.acm.org/doi/10.1145/3494970]
+
Daoyi
  
−
=== ---Feb 11 ---===
+
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
 
  
−
Bica, Ioana, et al. "From real‐world patient data to individualized treatment effects using machine learning: current and future methods to address underlying challenges." Clinical Pharmacology & Therapeutics 109.1 (2021): 87-100. [https://ascpt.onlinelibrary.wiley.com/doi/10.1002/cpt.1907]
+
=== ---Sep 25 ---===
 +
Jason
  
−
=== ---Feb 18 ---===
+
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).
−
Cancel
+
[https://proceedings.neurips.cc/paper_files/paper/2021/file/17e23e50bedc63b4095e3d8204ce063b-Paper.pdf]
  
−
=== ---Feb 25 ---===
+
=== ---Oct 02 ---===
−
Sixie
+
Ben
  
−
Yang, Qian, et al. "Flop: Federated learning on medical datasets using partial networks." Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2021. [https://dl.acm.org/doi/pdf/10.1145/3447548.3467185]
+
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]
  
−
=== ---Mar 04 ---===
+
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]
−
Moran
 
  
−
Song, Sijie, et al. "An end-to-end spatial-temporal attention model for human action recognition from skeleton data." Proceedings of the AAAI conference on artificial intelligence. Vol. 31. No. 1. 2017. [https://ojs.aaai.org/index.php/AAAI/article/view/11212]
+
=== ---Oct 09 ---===
 +
Claire
  
−
=== ---Mar 11 ---===
+
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]
−
Jingwen
 
  
−
Park, Chunjong, et al. "Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection." Advances in Neural Information Processing Systems 34 (2021).
+
=== ---Oct 16 ---===
−
[https://papers.nips.cc/paper/2021/file/17e23e50bedc63b4095e3d8204ce063b-Paper.pdf]
+
Wenyu
  
−
=== ---Mar 18 ---===
+
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.
−
Cancel
+
[https://dl.acm.org/doi/10.5555/3666122.3669203]
  
−
=== ---Mar 25 ---===
+
=== ---Oct 23 ---===
−
Cancel
+
Di
  
−
=== ---Apr 01 ---===
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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]
−
Bing
 
  
−
Choi, Edward, et al. "GRAM: graph-based attention model for healthcare representation learning." Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining. 2017.[https://dl.acm.org/doi/pdf/10.1145/3097983.3098126]
+
=== ---Oct 30 ---===
 +
Behrooz
  
−
Choi, Edward, et al. "Mime: Multilevel medical embedding of electronic health records for predictive healthcare." Advances in neural information processing systems 31 (2018).
+
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]
−
[https://proceedings.neurips.cc/paper/2018/file/934b535800b1cba8f96a5d72f72f1611-Paper.pdf]
 
  
−
Choi, Edward, et al. "Learning the graphical structure of electronic health records with graph convolutional transformer." Proceedings of the AAAI conference on artificial intelligence. Vol. 34. No. 01. 2020. [https://arxiv.org/pdf/1906.04716.pdf]
+
=== ---Nov 06 ---===
 +
Prince
  
−
=== ---Apr 08 ---===
+
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]
−
Cancel
 
  
−
=== ---Apr 15 ---===
+
=== ---Nov 13 ---===
−
Hanyang
+
Prince
  
−
=== ---Apr 22 ---===
+
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]
−
Ruiqi
 
  
 +
=== ---Nov 20 ---===
 +
Peiqi
  
−
* NeurIPS ([http://nips.cc/])
+
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]
−
* 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])
 
−
* Digital Medicine ([http://www.nature.com/npjdigitalmed/])
 
−
* HEALTH ([http://dl.acm.org/journal/health])
 
−
* Lancet Digital Health ([https://www.thelancet.com/journals/landig/issues#decade=loi_decade_201])
 
−
 
 
−
=== ---Cyber Physical Systems ---===
 
−
 
 
−
* SenSys ([http://sensys.acm.org])
 
−
* IPSN ([http://ipsn.acm.org])
 
−
* RTSS ([http://www.rtss.org/])
 
−
* RTAS ([http://www.rtas.org/])
 
−
* ICCPS ([http://www.iccps.org])
 
−
* MobiCom ([https://sigmobile.org/mobicom/2019/])
 
−
* MobiSys ([http://www.sigmobile.org/mobisys/2019/])
 
−
* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2019/])
 
−
* NSDI ([https://www.usenix.org/conference/nsdi19])
 
−
* SOSP ([https://www.sigops.org/])
 
−
* OSDI ([https://www.usenix.org/conference/osdi18/])
 
−
 
 
−
==Presentation Schedule==
 
  
 +
=== ---Nov 27 ---===
 +
Thanksgiving
  
  
 
==Previous Semesters==
 
==Previous Semesters==
 +
* [[Seminar Spring 2024|Spring 2024]]
 +
* [[Seminar Fall 2023|Fall 2023]]
 +
* [[Seminar Spring 2023|Spring 2023]]
 +
* [[Seminar Fall 2022|Fall 2022]]
 +
* [[Seminar Summer 2022|Summer 2022]]
 +
* [[Seminar Spring 2022|Spring 2022]]
 +
* [[Seminar Fall 2021|Fall 2021]]
 +
* [[Seminar Summer 2021|Summer 2021]]
 
* [[Seminar Spring 2021|Spring 2021]]
 
* [[Seminar Spring 2021|Spring 2021]]
 
* [[Seminar Fall 2020|Fall 2020]]
 
* [[Seminar Fall 2020|Fall 2020]]
 +
* [[Seminar Summer 2020|Summer 2020]]
 
* [[Seminar Spring 2020|Spring 2020]]
 
* [[Seminar Spring 2020|Spring 2020]]
 
* [[Seminar Fall 2019|Fall 2019]]
 
* [[Seminar Fall 2019|Fall 2019]]

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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