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''': '''Spring 2025'''
−
* '''Time''': Wednesday at 1 PM
+
* '''Time''': Wednesday at 10 am
−
* '''Location''': McKelvey 1030
+
* '''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]''':  
 
* '''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/])
 
* '''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
 
−
 
−
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]
 
−
 
−
=== ---Jan 31 ---===
 
−
Ruiqi
 
−
 
−
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]
 
−
 
−
=== ---Feb 07 ---===
 
−
Jizhou
 
−
 
−
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]
 
−
 
−
=== ---Feb 14 ---===
 
−
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.
 
−
 
−
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
 
  
−
=== ---Feb 21 ---===
+
=== ---Jan 22 ---===
−
Quan
 
−
 
 
−
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
 
Ziqi
  
−
Oral exam practice
+
Lin, Z., Trivedi, S., & Sun, J. (2023). Generating with confidence: Uncertainty quantification for black-box large language models.
 +
arXiv preprint arXiv:2305.19187.
  
−
[1] Udandarao, Vishaal, et al. “COBRA: Contrastive Bi-Modal Representation Algorithm”, IJCAI (TUSION workshop) 2020. [https://arxiv.org/pdf/2005.03687.pdf]
+
=== ---Jan 29 ---===
 +
Daoyi
  
−
[2] Han Zongbo, et al. “Trusted Multi-View Classification.” International Conference on Learning Representations (ICLR). 2020. [https://openreview.net/pdf?id=OOsR8BzCnl5]
+
=== ---Feb 5 ---===
 +
Zichen (Lab Meeting)
  
−
[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]
+
=== ---Feb 12 ---===
 +
Cancelled
  
−
=== ---Mar 06 ---===
+
=== ---Feb 19 ---===
−
Jiaming
+
Ruiqi & Peiqi
  
−
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/]
+
DeepSeek Series
  
−
=== ---Mar 13 ---===
+
=== ---Feb 26 ---===
−
Spring Break
+
Ben
  
−
=== ---Mar 20 ---===
+
=== ---Mar 5 ---===
−
Charles
 
−
 
 
−
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]
 
−
 
 
−
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]
 
−
 
 
−
=== ---Mar 27 ---===
 
−
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
 
Hanyang
  
−
Jin, Ming, et al. "Time-llm: Time series forecasting by reprogramming large language models." ICLR 2024.
+
=== ---Mar 12 ---===
−
 
 
−
=== ---Apr 10 ---===
 
−
Zebo
 
−
 
 
−
Lockwood, Owen, and Mei Si. "Reinforcement learning with quantum variational circuit." In Proceedings of the AAAI conference on artificial intelligence and interactive digital entertainment, vol. 16, no. 1, pp. 245-251. 2020. [https://ojs.aaai.org/index.php/AIIDE/article/view/7437]
 
−
 
 
−
=== ---Apr 17 ---===
 
 
Claire
 
Claire
  
−
Prerna Chikersal, Afsaneh Doryab, Michael Tumminia, Daniella K. Villalba, Janine M. Dutcher, Xinwen Liu, Sheldon Cohen, Kasey G. Creswell, Jennifer Mankoff, J. David Creswell, Mayank Goel, and Anind K. Dey. 2021. Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing: A Machine Learning Approach With Robust Feature Selection. ACM Trans. Comput.-Hum. Interact. 28, 1, Article 3 (February 2021), 41 pages. [https://doi.org/10.1145/3422821.]
+
=== ---Mar 19 ---===
−
 
+
Charles
−
=== ---Apr 24 ---===
 
−
Daoyi
 
  
 +
=== ---Mar 19 ---===
 +
Hangyue
  
 
==Previous Semesters==
 
==Previous Semesters==
 +
* [[Seminar Fall 2024|Fall 2024]]
 +
* [[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 03:36, 14 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 19 ---

Hangyue

Previous Semesters

Previous Lab Meetings

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