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''': '''Spring 2024'''
+
* '''Semester''': '''Fall 2024'''
 
* '''Time''': Wednesday at 1 PM
 
* '''Time''': Wednesday at 1 PM
 
* '''Location''': McKelvey 1030
 
* '''Location''': McKelvey 1030
Line 12: Line 12:
  
 
==Presentation Schedule==
 
==Presentation Schedule==
−
=== ---Jan 24 ---===
 
−
Hangyue
 
  
−
Krishnamachari, Kiran, See-Kiong Ng, and Chuan-Sheng Foo. "Mitigating Real-World Distribution Shifts in the Fourier Domain." Transactions on Machine Learning Research (2023). [https://openreview.net/pdf?id=lu4oAq55iK]
+
=== ---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). [https://doi.org/10.1007/s10462-023-10562-9]
  
−
=== ---Jan 31 ---===
+
=== ---Sep 18 ---===
−
Ruiqi
+
Daoyi
  
−
Faure, Gueter Josmy, Min-Hung Chen, and Shang-Hong Lai. "Holistic interaction transformer network for action detection." In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 3340-3350. 2023. [https://openaccess.thecvf.com/content/WACV2023/papers/Faure_Holistic_Interaction_Transformer_Network_for_Action_Detection_WACV_2023_paper.pdf]
+
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 07 ---===
+
=== ---Sep 25 ---===
−
Jizhou
+
Jason
  
−
Parikh, Harsh, Quinn Lanners, Zade Akras, Sahar F. Zafar, M. Brandon Westover, Cynthia Rudin, and Alexander Volfovsky. "Estimating Trustworthy and Safe Optimal Treatment Regimes." arXiv preprint arXiv:2310.15333 (2023). [https://arxiv.org/pdf/2310.15333.pdf]
+
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]
  
−
=== ---Feb 14 ---===
+
=== ---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]
  
−
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
+
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]
  
−
=== ---Feb 21 ---===
+
=== ---Oct 09 ---===
−
Quan
+
Claire
−
 
 
−
Maus, N., Jones, H., Moore, J., Kusner, M. J., Bradshaw, J., & Gardner, J. (2022). Local latent space bayesian optimization over structured inputs. Advances in Neural Information Processing Systems, 35, 34505-34518. [https://proceedings.neurips.cc/paper_files/paper/2022/file/ded98d28f82342a39f371c013dfb3058-Paper-Conference.pdf]
 
−
 
 
−
=== ---Feb 28 ---===
 
−
Ziqi
 
  
−
Oral exam practice
+
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]
  
−
[1] Udandarao, Vishaal, et al. “COBRA: Contrastive Bi-Modal Representation Algorithm”, IJCAI (TUSION workshop) 2020. [https://arxiv.org/pdf/2005.03687.pdf]
+
=== ---Oct 16 ---===
 +
Wenyu
  
−
[2] Han Zongbo, et al. “Trusted Multi-View Classification.” International Conference on Learning Representations (ICLR). 2020. [https://openreview.net/pdf?id=OOsR8BzCnl5]
+
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]
  
−
[3] Zhenbang Wu et al. “Multimodal Patient Representation Learning with Missing Modalities and Labels”. International Conference on Learning Representations(ICLR), 2024. [https://openreview.net/pdf?id=Je5SHCKpPa]
+
=== ---Oct 23 ---===
 +
Di
  
−
=== ---Mar 06 ---===
+
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]
−
Jiaming
 
  
−
Zhang, Nan, Yusen Zhang, Wu Guo, Prasenjit Mitra, and Rui Zhang. "FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization." In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp. 10915-10931. 2023. [https://aclanthology.org/2023.emnlp-main.673/]
+
=== ---Oct 30 ---===
 +
Behrooz
  
−
=== ---Mar 13 ---===
+
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]
−
Spring Break
 
  
−
=== ---Mar 20 ---===
+
=== ---Nov 06 ---===
−
Charles
+
Prince
  
−
Van Veen, Dave, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek et al. "Adapted large language models can outperform medical experts in clinical text summarization." Nature Medicine (2024): 1-9. [https://www.nature.com/articles/s41591-024-02855-5]
+
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]
  
−
Liu, Nelson F., Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang. "Lost in the Middle: How Language Models Use Long Contexts." Transactions of the Association for Computational Linguistics 12 (2024). [https://watermark.silverchair.com/tacl_a_00638.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAA0YwggNCBgkqhkiG9w0BBwagggMzMIIDLwIBADCCAygGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMTsi8yvo4NZXLClG1AgEQgIIC-QP6KIRyMwLTeCSsvdL7n7VJPdpYJCGAsJSiPlCTsp-P9R6vQOcOuIPoBpjnz9D9HVBMCrXGTFbtSQmvWVmvgAfTu7VE1NUuWAjc7T4Teb_vLoW0caty8PI8NHhhRtXhzTXLC-wOFTaJKgHS3gwA3_oqoTt06gd0qpx9k_cHNP4Vw3OgxNsk39Wog6hdiwyHSuAZ712xY2sBX4jOSby0gjy87KpHWahepzE7zosvbtoCvxB8KbhxwBJJeI22rKoOddd7Gbk0YguJaLMGGRQ7jARou-smLx6v85j3hXMNd__daTr9o7keU_051aiZogDovfrEwqXc7TxMu0XHsVqjot8n16cwun61Y-V5-ll8Ov7wywFcZ9Zt5YWcsSMpx0Zmm7fjz-ocfc1mg_v6ge3HT7uWljVzqP-olpG7CxZbZMjv_sRuV8uaFM78BCrIltCcKNkZSZchckk-BT07vSYTltFcPVx6XpA0g77m2Pnd-Anu-yU8f0PTqyBxGJEw2B0FE5Oo1xGhj8RjcaM0GsA41t5miGQk_WqRdiM8M04dSyc3WG0LZwNaCNT6NVn8tqWMHu1ZaYhY2_FfsYuCEKBvQ7FMsuNym0Qhgc9TKtO3IWj8-3Hod17xvLSuC1xgR4vI07elBv20eFyhQVEmfqCQugfEEpVIVp_zJLZRJDazZrzrm-PbTkDyGjQV7Wc1-Yq_ObsJbScuGxAvi0hprJxftxj6GkGMWVfX9LyZQy6R0v6nsuz8GWYo1fVMeP6j2Y7BjT65igxFbIdS4WCo7foMJbp_0giJIqsTBw5Ai4QqHQqHgJdNwdKB6NkE1B5aJoKYF1_fh4FW8t_0dDo1tbG_TctAMRRqsYcPAjIZfncmxxgOwqWFEg5p1tpT84a-MOFesnvtK1mb2rOaWtcRRL0OnQv83QMVNJMZpF6lylIjGa7LRcRPh5G_JsljtEHSgzMUIkfSs-U0Rx4Wa7xRAd_Mi7cIbKiY_R1V4VawRr40U2LvQ3OHr4Cj3yLe]
+
=== ---Nov 13 ---===
 +
Prince
  
−
=== ---Mar 27 ---===
+
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]
−
Jingwen
 
−
 
 
−
Gouareb, Racha, Alban Bornet, Dimitrios Proios, Sónia Gonçalves Pereira, and Douglas Teodoro. "Detection of Patients at Risk of Multidrug-Resistant Enterobacteriaceae Infection Using Graph Neural Networks: A Retrospective Study." Health Data Science 3 (2023): 0099. [https://spj.science.org/doi/full/10.34133/hds.0099]
 
−
 
 
−
=== ---Apr 03 ---===
 
−
Hanyang
 
−
 
 
−
Jin, Ming, et al. "Time-llm: Time series forecasting by reprogramming large language models." ICLR 2024.
 
−
 
 
−
=== ---Apr 10 ---===
 
−
Zebo
 
−
 
 
−
=== ---Apr 17 ---===
 
−
Claire
 
−
 
 
−
=== ---Apr 24 ---===
 
−
Daoyi
 
  
 +
=== ---Nov 20 ---===
 +
Peiqi
  
−
=== ---May 1 / May 8 ---===
+
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]
−
Hanyang
 
  
−
Topic: Individual continuous treatment effect analysis.
+
=== ---Nov 27 ---===
 +
Thanksgiving
  
−
[1] Nie, Lizhen, et al. "Vcnet and functional targeted regularization for learning causal effects of continuous treatments." ICLR 2021.
 
−
[2] Zhang, Yi-Fan, et al. "Exploring transformer backbones for heterogeneous treatment effect estimation." NeurIPS 2022.
 
−
[3] Nagalapatti, Lokesh, et al. "Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing." AAAI 2024. https://arxiv.org/pdf/2401.15447.pdf
 
  
 
==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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